Datasets:

GHOFRANEE
/

Dataset_ocr_to_json

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Split (2)

train · 2.14k rows

instruction stringclasses 1 value	input stringlengths 586 18k	output stringlengths 161 5.19k
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[71.0, 0.0], [181.0, 0.0], [181.0, 14.0], [71.0, 13.0]], ('Tel +65 6473 4500', 0.8973172307014465)], [[[69.0, 13.0], [175.0, 16.0], [175.0, 30.0], [69.0, 27.0]], ('Fax+65 64735100', 0.95871901512146)], [[[65.0, 29.0], [185.0, 32.0], [185.0, 46.0], [65.0, 42.0]], ('GST EGNO:201110141C', 0.9175808429718018)], [[[39.0, 93.0], [92.0, 93.0], [92.0, 107.0], [39.0, 107.0]], ('Tb110/1', 0.9456653594970703)], [[[177.0, 95.0], [213.0, 95.0], [213.0, 110.0], [177.0, 110.0]], ('Gst 2', 0.8820425868034363)], [[[89.0, 108.0], [164.0, 110.0], [164.0, 125.0], [89.0, 122.0]], ('14Nov12 192', 0.8804763555526733)], [[[51.0, 137.0], [149.0, 141.0], [149.0, 155.0], [50.0, 152.0]], ('1 Elderflower Fizz', 0.9556132555007935)], [[[172.0, 140.0], [197.0, 140.0], [197.0, 155.0], [172.0, 155.0]], ("06'6", 0.8047769069671631)], [[[50.0, 153.0], [134.0, 156.0], [133.0, 170.0], [49.0, 167.0]], ('1 Ice Leson Tea', 0.9097574353218079)], [[[171.0, 154.0], [196.0, 154.0], [196.0, 170.0], [171.0, 170.0]], ('7.00', 0.9673480987548828)], [[[50.0, 169.0], [134.0, 171.0], [133.0, 185.0], [49.0, 183.0]], ('1 Beef Carpacio', 0.9319825768470764)], [[[166.0, 168.0], [196.0, 170.0], [195.0, 186.0], [165.0, 183.0]], ('24.00', 0.9925163984298706)], [[[49.0, 184.0], [138.0, 186.0], [137.0, 201.0], [48.0, 199.0]], ('1 Starter Mussel', 0.950869083404541)], [[[166.0, 186.0], [196.0, 186.0], [196.0, 201.0], [166.0, 201.0]], ('22.00', 0.9940692782402039)], [[[48.0, 199.0], [123.0, 201.0], [122.0, 218.0], [47.0, 215.0]], ('1 Pork Burger', 0.897700846195221)], [[[166.0, 199.0], [196.0, 202.0], [195.0, 217.0], [165.0, 214.0]], ('28.00', 0.9922366142272949)], [[[48.0, 218.0], [127.0, 218.0], [127.0, 231.0], [48.0, 231.0]], ('1 Braised Beef', 0.9357098340988159)], [[[166.0, 217.0], [196.0, 217.0], [196.0, 231.0], [166.0, 231.0]], ('36.00', 0.993158221244812)], [[[48.0, 233.0], [137.0, 233.0], [137.0, 247.0], [48.0, 247.0]], ('1 Side MacCheese', 0.9258280992507935)], [[[171.0, 232.0], [196.0, 232.0], [196.0, 247.0], [171.0, 247.0]], ('8.00', 0.991503119468689)], [[[161.0, 263.0], [198.0, 263.0], [198.0, 281.0], [161.0, 281.0]], ('157.72', 0.9864010214805603)], [[[58.0, 296.0], [104.0, 296.0], [104.0, 310.0], [58.0, 310.0]], ('SUBTOTAL', 0.9940477609634399)], [[[162.0, 297.0], [196.0, 297.0], [196.0, 311.0], [162.0, 311.0]], ('134.00', 0.9936926364898682)], [[[58.0, 308.0], [128.0, 312.0], [127.0, 328.0], [57.0, 325.0]], ('10% Serv Chg', 0.8289914131164551)], [[[166.0, 312.0], [196.0, 312.0], [196.0, 327.0], [166.0, 327.0]], ('13.40', 0.9911840558052063)], [[[59.0, 325.0], [95.0, 328.0], [94.0, 343.0], [58.0, 341.0]], ('TGST', 0.9628909230232239)], [[[166.0, 327.0], [197.0, 327.0], [197.0, 343.0], [166.0, 343.0]], ('10.32', 0.989798367023468)]]	{"store_name": "", "store_addr": "", "telephone": "+6564734500", "date": "14Nov'12", "time": "19:52", "subtotal": "134.00", "tax": "10.32", "total": "157.72", "ignore": "", "tips": "13.40", "line_items": [{"item_key": "", "item_name": "ElderflowerFizz", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "IceLemonTea", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BeefCarpacio", "item_value": "24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "StarterMussel", "item_value": "22.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PorkBurger", "item_value": "28.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BraisedBeef", "item_value": "36.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SideMacCheese", "item_value": "8.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[94.0, 41.0], [255.0, 40.0], [255.0, 53.0], [94.0, 54.0]], ('Turtle Wax Wash641', 0.9298350811004639)], [[[106.0, 53.0], [240.0, 52.0], [240.0, 66.0], [106.0, 67.0]], ('252 S. Gary Ave.', 0.8955310583114624)], [[[96.0, 68.0], [153.0, 68.0], [153.0, 79.0], [96.0, 79.0]], ('10:27am', 0.9534527063369751)], [[[198.0, 66.0], [258.0, 66.0], [258.0, 77.0], [198.0, 77.0]], ('8-07-15', 0.9733904004096985)], [[[93.0, 80.0], [258.0, 77.0], [258.0, 90.0], [93.0, 93.0]], ('SHIFT# 1TERMINAL1', 0.8845474720001221)], [[[94.0, 93.0], [181.0, 91.0], [181.0, 104.0], [94.0, 106.0]], ('IL:N805348', 0.9429604411125183)], [[[198.0, 90.0], [260.0, 88.0], [260.0, 102.0], [198.0, 104.0]], ('S#4280', 0.9348264336585999)], [[[97.0, 120.0], [160.0, 120.0], [160.0, 130.0], [97.0, 130.0]], ('ULTIMATE', 0.9937295317649841)], [[[214.0, 117.0], [260.0, 114.0], [261.0, 129.0], [215.0, 132.0]], ('22.99', 0.9960017204284668)], [[[95.0, 132.0], [194.0, 132.0], [194.0, 145.0], [95.0, 145.0]], ('Mats Option', 0.9175017476081848)], [[[223.0, 130.0], [261.0, 130.0], [261.0, 143.0], [223.0, 143.0]], ('0.00', 0.9838184118270874)], [[[223.0, 143.0], [261.0, 143.0], [261.0, 157.0], [223.0, 157.0]], ('0.00', 0.9862077236175537)], [[[98.0, 160.0], [154.0, 160.0], [154.0, 171.0], [98.0, 171.0]], ('Groupon', 0.9873355031013489)], [[[98.0, 182.0], [162.0, 184.0], [162.0, 198.0], [98.0, 196.0]], ('TOTAL', 0.9913662672042847)], [[[225.0, 185.0], [261.0, 185.0], [261.0, 196.0], [225.0, 196.0]], ('0.00', 0.9922616481781006)], [[[99.0, 196.0], [135.0, 196.0], [135.0, 210.0], [99.0, 210.0]], ('CASH', 0.9961546659469604)], [[[224.0, 197.0], [261.0, 197.0], [261.0, 211.0], [224.0, 211.0]], ('0.00', 0.993808925151825)], [[[130.0, 220.0], [229.0, 224.0], [228.0, 236.0], [129.0, 233.0]], ('FOLLOW US ON', 0.9448679089546204)], [[[144.0, 232.0], [213.0, 236.0], [212.0, 249.0], [143.0, 246.0]], ('FACEBOOK', 0.9831546545028687)], [[[102.0, 243.0], [254.0, 249.0], [254.0, 263.0], [102.0, 257.0]], ('TURTLE WAX CAR WASH', 0.9186316132545471)], [[[104.0, 265.0], [254.0, 274.0], [254.0, 288.0], [104.0, 279.0]], ('SAVE WHITE RECEIPTS', 0.9544326663017273)], [[[132.0, 278.0], [223.0, 285.0], [222.0, 298.0], [131.0, 291.0]], ('FOR REWARDS', 0.9438503384590149)], [[[109.0, 296.0], [255.0, 310.0], [254.0, 324.0], [107.0, 310.0]], ('SAVE YELLOW RECEIPT', 0.9385000467300415)], [[[120.0, 315.0], [257.0, 331.0], [255.0, 344.0], [118.0, 329.0]], ('DAY CLEAN CAR WASH', 0.8767436146736145)], [[[123.0, 308.0], [248.0, 322.0], [246.0, 333.0], [122.0, 319.0]], ('FOR COUPONS OR 2', 0.8927258849143982)]]	{"store_name": "TurtleWaxWash(641)", "store_addr": "252S.GaryAve.", "telephone": "", "date": "8-07-15", "time": "10:27am", "subtotal": "", "tax": "", "total": "0.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ULTIMATE", "item_value": "22.99", "item_quantity": "1"}, {"item_key": "", "item_name": "MatsOption", "item_value": "0.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[400.0, 161.0], [709.0, 161.0], [709.0, 225.0], [400.0, 225.0]], ('Walmart', 0.9966977834701538)], [[[405.0, 232.0], [713.0, 232.0], [713.0, 258.0], [405.0, 258.0]], ('Save money.Live better.', 0.9515411257743835)], [[[473.0, 287.0], [705.0, 287.0], [705.0, 309.0], [473.0, 309.0]], ('6198580071', 0.9983628988265991)], [[[435.0, 310.0], [744.0, 309.0], [744.0, 332.0], [435.0, 334.0]], ('MANAGER RYAN BRANDENBURG', 0.9608411192893982)], [[[487.0, 335.0], [695.0, 335.0], [695.0, 358.0], [487.0, 358.0]], ('3412 COLLEGEAVE', 0.943647027015686)], [[[471.0, 358.0], [709.0, 356.0], [709.0, 383.0], [471.0, 384.0]], ('SAN DIEGO CA92115', 0.944336473941803)], [[[346.0, 381.0], [838.0, 380.0], [838.0, 406.0], [346.0, 408.0]], ('ST#24790P#00003693TE#94TR#07749', 0.9800224900245667)], [[[349.0, 406.0], [668.0, 406.0], [668.0, 428.0], [349.0, 428.0]], ('UTILITY BILL060538887953', 0.9565363526344299)], [[[755.0, 406.0], [838.0, 406.0], [838.0, 428.0], [755.0, 428.0]], ('4.000', 0.9942096471786499)], [[[346.0, 432.0], [668.0, 430.0], [668.0, 454.0], [346.0, 455.0]], ('PAYMENTFEE068113107939', 0.9933179616928101)], [[[755.0, 428.0], [841.0, 428.0], [841.0, 455.0], [755.0, 455.0]], ('4.00N', 0.9861568212509155)], [[[616.0, 455.0], [681.0, 455.0], [681.0, 477.0], [616.0, 477.0]], ('TOTAL', 0.9985640645027161)], [[[754.0, 450.0], [813.0, 450.0], [813.0, 479.0], [754.0, 479.0]], ('8.00', 0.9977898001670837)], [[[554.0, 477.0], [684.0, 477.0], [684.0, 504.0], [554.0, 504.0]], ('CASHTEND', 0.9858220219612122)], [[[744.0, 476.0], [814.0, 476.0], [814.0, 504.0], [744.0, 504.0]], ('10.00', 0.9960895776748657)], [[[554.0, 504.0], [682.0, 504.0], [682.0, 526.0], [554.0, 526.0]], ('CHANGE DUE', 0.9482831954956055)], [[[755.0, 502.0], [813.0, 502.0], [813.0, 526.0], [755.0, 526.0]], ('2.00', 0.9984283447265625)], [[[349.0, 529.0], [608.0, 529.0], [608.0, 551.0], [349.0, 551.0]], ('Receiver Information', 0.9712145924568176)], [[[349.0, 554.0], [455.0, 554.0], [455.0, 576.0], [349.0, 576.0]], ('PayLease', 0.9958719611167908)], [[[349.0, 576.0], [468.0, 576.0], [468.0, 598.0], [349.0, 598.0]], ('ACCOUNT#', 0.9527167081832886)], [[[706.0, 572.0], [838.0, 572.0], [838.0, 598.0], [706.0, 598.0]], ('******7511', 0.7860852479934692)], [[[349.0, 600.0], [516.0, 600.0], [516.0, 622.0], [349.0, 622.0]], ('REFERENCE NUM', 0.9577382802963257)], [[[671.0, 597.0], [838.0, 597.0], [838.0, 619.0], [671.0, 619.0]], ('CA48211608:6', 0.9654679894447327)], [[[348.0, 622.0], [441.0, 622.0], [441.0, 649.0], [348.0, 649.0]], ('PAYMENT', 0.9959900975227356)], [[[770.0, 619.0], [828.0, 619.0], [828.0, 647.0], [770.0, 647.0]], ('4.00', 0.9973517060279846)], [[[349.0, 649.0], [490.0, 649.0], [490.0, 671.0], [349.0, 671.0]], ('FEECHARGED', 0.9937273859977722)], [[[771.0, 646.0], [827.0, 646.0], [827.0, 669.0], [771.0, 669.0]], ('4.00', 0.9944089651107788)], [[[349.0, 673.0], [416.0, 673.0], [416.0, 696.0], [349.0, 696.0]], ('TOTAL', 0.9983042478561401)], [[[768.0, 668.0], [828.0, 668.0], [828.0, 696.0], [768.0, 696.0]], ('8.00', 0.9981294274330139)], [[[346.0, 695.0], [801.0, 693.0], [801.0, 720.0], [346.0, 721.0]], ('Bill payment service brought to you', 0.9335161447525024)], [[[349.0, 721.0], [551.0, 721.0], [551.0, 743.0], [349.0, 743.0]], ('by CheckFreePay.', 0.9343042969703674)], [[[352.0, 769.0], [819.0, 769.0], [819.0, 791.0], [352.0, 791.0]], ('This is a non-refundable transaction', 0.9637718200683594)], [[[351.0, 816.0], [776.0, 816.0], [776.0, 838.0], [351.0, 838.0]], ('Verify all account information is', 0.9441469311714172)], [[[352.0, 841.0], [786.0, 841.0], [786.0, 863.0], [352.0, 863.0]], ('correct before leaving the Payment', 0.9298211932182312)], [[[352.0, 866.0], [467.0, 866.0], [467.0, 888.0], [352.0, 888.0]], ('location.', 0.9953474402427673)], [[[349.0, 909.0], [778.0, 907.0], [778.0, 934.0], [349.0, 936.0]], ('PayLease Transaction ID:19112467', 0.943193793296814)], [[[365.0, 937.0], [798.0, 937.0], [798.0, 959.0], [365.0, 959.0]], ('Thank you for making your payment.', 0.9315491318702698)], [[[351.0, 961.0], [814.0, 961.0], [814.0, 983.0], [351.0, 983.0]], ('Please contact your Property Manager', 0.9581977128982544)], [[[351.0, 983.0], [816.0, 981.0], [816.0, 1008.0], [351.0, 1010.0]], ('if you have any questions about your', 0.9524948596954346)], [[[351.0, 1010.0], [814.0, 1006.0], [814.0, 1028.0], [351.0, 1032.0]], ('Payment and have your Transaction ID', 0.943919837474823)], [[[354.0, 1033.0], [479.0, 1030.0], [479.0, 1052.0], [354.0, 1055.0]], ('available', 0.9555046558380127)], [[[351.0, 1054.0], [827.0, 1050.0], [827.0, 1077.0], [351.0, 1081.0]], ('Keep your bill stub and receipt until', 0.9150181412696838)], [[[355.0, 1080.0], [741.0, 1080.0], [741.0, 1102.0], [355.0, 1102.0]], ('the payment is applied to your', 0.9194278717041016)], [[[351.0, 1101.0], [790.0, 1099.0], [790.0, 1126.0], [351.0, 1128.0]], ('account. The bill stub and receipt', 0.9507110714912415)], [[[354.0, 1128.0], [814.0, 1128.0], [814.0, 1150.0], [354.0, 1150.0]], ('must be presented for any inquiry or', 0.9402183890342712)], [[[355.0, 1151.0], [635.0, 1151.0], [635.0, 1173.0], [355.0, 1173.0]], ('change to the payment.', 0.9368705153465271)], [[[351.0, 1172.0], [787.0, 1169.0], [787.0, 1195.0], [351.0, 1199.0]], ('Payment Receipt Number:2680100061', 0.9399061799049377)], [[[401.0, 1221.0], [765.0, 1217.0], [765.0, 1260.0], [402.0, 1263.0]], ('# ITEMS SOLD 2', 0.9923101663589478)], [[[406.0, 1287.0], [765.0, 1287.0], [765.0, 1309.0], [406.0, 1309.0]], ('TC#68422397076614743083', 0.9800155758857727)], [[[374.0, 1378.0], [817.0, 1377.0], [817.0, 1403.0], [375.0, 1405.0]], ('Layaway Is back. Get started today', 0.9234861731529236)], [[[476.0, 1399.0], [719.0, 1397.0], [719.0, 1428.0], [476.0, 1430.0]], ('Sept.13-Dec.13', 0.9077601432800293)], [[[457.0, 1427.0], [565.0, 1427.0], [565.0, 1449.0], [457.0, 1449.0]], ('09/25/13', 0.9975318908691406)], [[[622.0, 1427.0], [727.0, 1427.0], [727.0, 1449.0], [622.0, 1449.0]], ('10:24:20', 0.9487589597702026)]]	{"store_name": "Walmart", "store_addr": "SANDIEGOCA92115 3412COLLEGEAVE", "telephone": "(619)858-0071", "date": "09/25/13", "time": "10:24:20", "subtotal": "", "tax": "", "total": "8.00 8.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PAYMENTFEE", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "UTILITYBILL", "item_value": "4.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[261.0, 26.0], [393.0, 23.0], [394.0, 47.0], [262.0, 50.0]], ('TAX INVOICE', 0.9657093286514282)], [[[49.0, 94.0], [274.0, 90.0], [275.0, 114.0], [50.0, 118.0]], ('HOBGOBLIN RUBY BEER', 0.9455828666687012)], [[[557.0, 114.0], [622.0, 112.0], [623.0, 142.0], [558.0, 144.0]], ('16.70', 0.991349995136261)], [[[51.0, 131.0], [71.0, 127.0], [74.0, 148.0], [55.0, 152.0]], ('2', 0.6946585774421692)], [[[110.0, 128.0], [263.0, 125.0], [264.0, 149.0], [110.0, 152.0]], ('5023625004487', 0.9986236095428467)], [[[59.0, 162.0], [325.0, 158.0], [325.0, 181.0], [60.0, 185.0]], ('SWISS BAKE SWISS FARMER', 0.95655357837677)], [[[560.0, 181.0], [615.0, 179.0], [617.0, 209.0], [561.0, 211.0]], ('5.50', 0.9963422417640686)], [[[67.0, 196.0], [80.0, 196.0], [80.0, 214.0], [67.0, 214.0]], ('1', 0.7949238419532776)], [[[118.0, 193.0], [270.0, 190.0], [271.0, 213.0], [118.0, 216.0]], ('2040302005509', 0.9985228180885315)], [[[68.0, 225.0], [337.0, 220.0], [337.0, 243.0], [69.0, 248.0]], ('SWISS BAKE HAMBURGER BUN', 0.948329746723175)], [[[548.0, 245.0], [608.0, 245.0], [608.0, 271.0], [548.0, 271.0]], ('12.60', 0.995154082775116)], [[[73.0, 257.0], [91.0, 257.0], [91.0, 278.0], [73.0, 278.0]], ('3', 0.9776981472969055)], [[[128.0, 255.0], [272.0, 252.0], [273.0, 273.0], [128.0, 276.0]], ('2040343004202', 0.9986953735351562)], [[[78.0, 285.0], [209.0, 282.0], [210.0, 303.0], [78.0, 306.0]], ('BEEF SIRLOIN', 0.9701667428016663)], [[[136.0, 311.0], [182.0, 311.0], [182.0, 330.0], [136.0, 330.0]], ('6000', 0.9941378831863403)], [[[540.0, 302.0], [599.0, 300.0], [600.0, 325.0], [542.0, 327.0]], ('90.00', 0.9969151616096497)], [[[85.0, 314.0], [99.0, 314.0], [99.0, 331.0], [85.0, 331.0]], ('1', 0.9101541638374329)], [[[89.0, 336.0], [216.0, 334.0], [216.0, 355.0], [89.0, 357.0]], ('WHITE ONIONS', 0.9710561633110046)], [[[93.0, 362.0], [107.0, 359.0], [111.0, 375.0], [96.0, 378.0]], ('1', 0.9280486702919006)], [[[146.0, 359.0], [190.0, 359.0], [190.0, 378.0], [146.0, 378.0]], ('1823', 0.9989582300186157)], [[[545.0, 354.0], [592.0, 354.0], [592.0, 376.0], [545.0, 376.0]], ('3.83', 0.9969044327735901)], [[[98.0, 382.0], [159.0, 382.0], [159.0, 404.0], [98.0, 404.0]], ('FENNEL', 0.9957129955291748)], [[[96.0, 412.0], [113.0, 412.0], [113.0, 431.0], [96.0, 431.0]], ('1', 0.962023913860321)], [[[145.0, 409.0], [191.0, 407.0], [192.0, 431.0], [146.0, 433.0]], ('1825', 0.9990231394767761)], [[[544.0, 408.0], [590.0, 408.0], [590.0, 431.0], [544.0, 431.0]], ('3.72', 0.9959378242492676)], [[[97.0, 438.0], [289.0, 437.0], [290.0, 458.0], [97.0, 459.0]], ('FRESH WHOLE CHICKEN', 0.957598865032196)], [[[99.0, 470.0], [111.0, 470.0], [111.0, 486.0], [99.0, 486.0]], ('1', 0.8532567620277405)], [[[146.0, 465.0], [190.0, 465.0], [190.0, 488.0], [146.0, 488.0]], ('0607', 0.9950159788131714)], [[[536.0, 464.0], [593.0, 464.0], [593.0, 489.0], [536.0, 489.0]], ('24.00', 0.9961639642715454)], [[[95.0, 493.0], [160.0, 493.0], [160.0, 518.0], [95.0, 518.0]], ('CELERY', 0.9976069331169128)], [[[146.0, 523.0], [190.0, 523.0], [190.0, 546.0], [146.0, 546.0]], ('1809', 0.9989985823631287)], [[[537.0, 523.0], [594.0, 523.0], [594.0, 548.0], [537.0, 548.0]], ('13.65', 0.9957455396652222)], [[[96.0, 553.0], [180.0, 551.0], [181.0, 573.0], [96.0, 575.0]], ('aus pork', 0.9625131487846375)], [[[98.0, 582.0], [110.0, 582.0], [110.0, 600.0], [98.0, 600.0]], ('-', 0.5766257643699646)], [[[146.0, 579.0], [341.0, 577.0], [341.0, 601.0], [146.0, 603.0]], ('*MISCELLANEOUS**', 0.9680617451667786)], [[[536.0, 579.0], [595.0, 581.0], [593.0, 606.0], [534.0, 604.0]], ('67.65', 0.9913879632949829)], [[[402.0, 635.0], [483.0, 635.0], [483.0, 656.0], [402.0, 656.0]], ('SUBTOTAL', 0.9913003444671631)], [[[525.0, 636.0], [590.0, 636.0], [590.0, 657.0], [525.0, 657.0]], ('237.65', 0.9770116209983826)], [[[393.0, 660.0], [484.0, 660.0], [484.0, 681.0], [393.0, 681.0]], ('7.00%GST', 0.9855324029922485)], [[[533.0, 659.0], [590.0, 659.0], [590.0, 684.0], [533.0, 684.0]], ('15.55', 0.9957512021064758)], [[[434.0, 686.0], [485.0, 686.0], [485.0, 712.0], [434.0, 712.0]], ('TOTAL', 0.997989296913147)], [[[525.0, 687.0], [591.0, 687.0], [591.0, 713.0], [525.0, 713.0]], ('237.65', 0.9925041198730469)], [[[442.0, 717.0], [489.0, 717.0], [489.0, 743.0], [442.0, 743.0]], ('VISA', 0.9976329803466797)], [[[527.0, 718.0], [594.0, 718.0], [594.0, 744.0], [527.0, 744.0]], ('237.65', 0.9954766631126404)], [[[383.0, 747.0], [488.0, 749.0], [488.0, 774.0], [382.0, 772.0]], ('CHANGE DUE', 0.9609535932540894)], [[[548.0, 749.0], [596.0, 749.0], [596.0, 776.0], [548.0, 776.0]], ('0.00', 0.995704710483551)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "237.65", "tax": "15.55", "total": "237.65 237.65", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HOBGOBLINRUBYBEER", "item_value": "16.70", "item_quantity": "1"}, {"item_key": "", "item_name": "SWISSBAKESWISSFARMER", "item_value": "5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "SWISSBAKEHAMBURGERBUN", "item_value": "12.60", "item_quantity": "1"}, {"item_key": "", "item_name": "BEEFSIRLOIN", "item_value": "90.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WHITEONIONS", "item_value": "3.83", "item_quantity": "1"}, {"item_key": "", "item_name": "FENNEL", "item_value": "3.72", "item_quantity": "1"}, {"item_key": "", "item_name": "FRESHWHOLECHICKEN", "item_value": "24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CELERY", "item_value": "13.65", "item_quantity": "1"}, {"item_key": "", "item_name": "auspork", "item_value": "67.65", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[153.0, 24.0], [230.0, 24.0], [230.0, 41.0], [153.0, 41.0]], ('KEA', 0.8331106305122375)], [[[116.0, 87.0], [234.0, 84.0], [235.0, 98.0], [116.0, 102.0]], ('IKEA NORTH LAKES', 0.9549198746681213)], [[[57.0, 100.0], [292.0, 93.0], [292.0, 110.0], [58.0, 117.0]], ('3 Nor th Lakes Drive. Nor th Lakes', 0.901038646697998)], [[[79.0, 114.0], [270.0, 108.0], [270.0, 122.0], [79.0, 128.0]], ('QLD450ABN84006270757', 0.965790867805481)], [[[29.0, 167.0], [91.0, 165.0], [91.0, 180.0], [29.0, 182.0]], ('Qty Name', 0.9496400952339172)], [[[219.0, 162.0], [259.0, 162.0], [259.0, 176.0], [219.0, 176.0]], ('Price', 0.9639139175415039)], [[[286.0, 159.0], [324.0, 159.0], [324.0, 173.0], [286.0, 173.0]], ('Total', 0.9755637049674988)], [[[57.0, 192.0], [155.0, 190.0], [155.0, 204.0], [58.0, 206.0]], ('Meatballs/sm', 0.9168508648872375)], [[[230.0, 186.0], [262.0, 186.0], [262.0, 201.0], [230.0, 201.0]], ('3.69', 0.8585500717163086)], [[[295.0, 184.0], [328.0, 184.0], [328.0, 199.0], [295.0, 199.0]], ('3.69', 0.9965599179267883)], [[[30.0, 196.0], [40.0, 196.0], [40.0, 207.0], [30.0, 207.0]], ('1', 0.9953860640525818)], [[[58.0, 207.0], [150.0, 205.0], [151.0, 219.0], [59.0, 221.0]], ('Cinnamon bun', 0.9523277282714844)], [[[229.0, 200.0], [262.0, 200.0], [262.0, 214.0], [229.0, 214.0]], ('1.49', 0.9910722970962524)], [[[296.0, 198.0], [330.0, 198.0], [330.0, 213.0], [296.0, 213.0]], ('1.49', 0.9974457025527954)], [[[29.0, 209.0], [41.0, 209.0], [41.0, 223.0], [29.0, 223.0]], ('1', 0.9939053654670715)], [[[59.0, 221.0], [151.0, 218.0], [152.0, 232.0], [60.0, 235.0]], ('Garlic bread', 0.9089941382408142)], [[[228.0, 213.0], [262.0, 211.0], [264.0, 227.0], [229.0, 229.0]], ('2.00', 0.9948995113372803)], [[[297.0, 212.0], [331.0, 212.0], [331.0, 227.0], [297.0, 227.0]], ('2.00', 0.9978756308555603)], [[[29.0, 222.0], [41.0, 222.0], [41.0, 237.0], [29.0, 237.0]], ('1', 0.9964620471000671)], [[[30.0, 234.0], [42.0, 237.0], [39.0, 252.0], [27.0, 249.0]], ('1', 0.987409234046936)], [[[58.0, 234.0], [179.0, 231.0], [179.0, 245.0], [59.0, 248.0]], ('KALLVATTEN water', 0.9584352970123291)], [[[231.0, 227.0], [264.0, 227.0], [264.0, 242.0], [231.0, 242.0]], ('2.00', 0.9969850182533264)], [[[298.0, 225.0], [332.0, 225.0], [332.0, 239.0], [298.0, 239.0]], ('2.00', 0.9948791265487671)], [[[232.0, 240.0], [265.0, 240.0], [265.0, 255.0], [232.0, 255.0]], ('2.99', 0.9964933395385742)], [[[298.0, 238.0], [332.0, 238.0], [332.0, 253.0], [298.0, 253.0]], ('2.99', 0.8997722268104553)], [[[30.0, 250.0], [39.0, 250.0], [39.0, 262.0], [30.0, 262.0]], ('1', 0.9954506754875183)], [[[59.0, 248.0], [108.0, 248.0], [108.0, 262.0], [59.0, 262.0]], ('Coffee', 0.9961009621620178)], [[[29.0, 275.0], [68.0, 275.0], [68.0, 290.0], [29.0, 290.0]], ('Total', 0.9977094531059265)], [[[295.0, 266.0], [335.0, 266.0], [335.0, 281.0], [295.0, 281.0]], ('12.17', 0.9941652417182922)], [[[28.0, 289.0], [54.0, 289.0], [54.0, 305.0], [28.0, 305.0]], ('GST', 0.9956313967704773)], [[[302.0, 280.0], [336.0, 280.0], [336.0, 295.0], [302.0, 295.0]], ('0.92', 0.9958782196044922)], [[[27.0, 317.0], [120.0, 315.0], [120.0, 329.0], [27.0, 332.0]], ('Net SubTotal', 0.9746699929237366)], [[[296.0, 308.0], [339.0, 305.0], [340.0, 323.0], [297.0, 326.0]], ('11.25', 0.9956163167953491)], [[[26.0, 345.0], [97.0, 345.0], [97.0, 359.0], [26.0, 359.0]], ('Received:', 0.9617376327514648)], [[[25.0, 360.0], [52.0, 360.0], [52.0, 376.0], [25.0, 376.0]], ('EFT', 0.9975379109382629)], [[[300.0, 351.0], [344.0, 348.0], [345.0, 366.0], [301.0, 369.0]], ('12.17', 0.9941078424453735)], [[[25.0, 419.0], [217.0, 414.0], [218.0, 431.0], [25.0, 436.0]], ('Invoi ce 332157 #ORIGINAL', 0.8782130479812622)]]	{"store_name": "IKEA IKEANORTHLAKES", "store_addr": "3NorthLakesDrive,NorthLakes", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Meatballs/sml", "item_value": "3.69", "item_quantity": "1"}, {"item_key": "", "item_name": "Cinnamonbun", "item_value": "1.49", "item_quantity": "1"}, {"item_key": "", "item_name": "Garlicbread", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "K\u00c4LLVATTENwater", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Coffee", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "Name", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[160.0, 72.0], [270.0, 70.0], [270.0, 97.0], [161.0, 99.0]], ('8/1/2011', 0.9936488270759583)], [[[346.0, 73.0], [481.0, 69.0], [482.0, 93.0], [346.0, 98.0]], ('6:23:13PM', 0.912455677986145)], [[[64.0, 128.0], [148.0, 128.0], [148.0, 155.0], [64.0, 155.0]], ('Check#', 0.9093303680419922)], [[[185.0, 126.0], [297.0, 124.0], [297.0, 151.0], [186.0, 153.0]], ('Table/PN', 0.9727151393890381)], [[[334.0, 125.0], [513.0, 119.0], [514.0, 145.0], [335.0, 152.0]], ('Guests Server', 0.9738708734512329)], [[[184.0, 154.0], [267.0, 154.0], [267.0, 182.0], [184.0, 182.0]], ('1359/1', 0.9982406497001648)], [[[360.0, 152.0], [381.0, 152.0], [381.0, 177.0], [360.0, 177.0]], ('1', 0.9303647875785828)], [[[445.0, 146.0], [490.0, 146.0], [490.0, 173.0], [445.0, 173.0]], ('165', 0.9987065196037292)], [[[58.0, 158.0], [145.0, 153.0], [147.0, 181.0], [60.0, 186.0]], ('288147', 0.9898331165313721)], [[[547.0, 198.0], [611.0, 198.0], [611.0, 226.0], [547.0, 226.0]], ('9.75', 0.9956983327865601)], [[[166.0, 213.0], [336.0, 210.0], [336.0, 234.0], [167.0, 237.0]], ('S.Camarones', 0.9884307384490967)], [[[552.0, 227.0], [618.0, 227.0], [618.0, 256.0], [552.0, 256.0]], ('2.75', 0.9972660541534424)], [[[39.0, 249.0], [50.0, 249.0], [50.0, 265.0], [39.0, 265.0]], ('7', 0.5172110795974731)], [[[135.0, 241.0], [223.0, 238.0], [225.0, 265.0], [136.0, 269.0]], ("IZZE'S", 0.9597439169883728)], [[[549.0, 287.0], [627.0, 284.0], [628.0, 312.0], [550.0, 316.0]], ('12.50', 0.9977378845214844)], [[[159.0, 298.0], [290.0, 294.0], [291.0, 322.0], [160.0, 327.0]], ('Sub Total', 0.9276087284088135)], [[[566.0, 319.0], [632.0, 315.0], [634.0, 344.0], [568.0, 348.0]], ('1.07', 0.9988044500350952)], [[[156.0, 330.0], [295.0, 327.0], [295.0, 355.0], [157.0, 358.0]], ('Sa les Tax', 0.9072840809822083)], [[[454.0, 354.0], [601.0, 350.0], [602.0, 378.0], [455.0, 383.0]], ('13.57', 0.9987090826034546)], [[[20.0, 364.0], [166.0, 362.0], [167.0, 392.0], [20.0, 394.0]], ('TOTAL', 0.9979402422904968)], [[[166.0, 430.0], [451.0, 420.0], [452.0, 451.0], [167.0, 460.0]], ('THANK YOU', 0.9398452043533325)], [[[225.0, 466.0], [389.0, 464.0], [389.0, 493.0], [226.0, 495.0]], ('Jesus', 0.9913734197616577)], [[[3.0, 547.0], [255.0, 541.0], [255.0, 576.0], [4.0, 581.0]], ('ABLE12', 0.9930267333984375)], [[[3.0, 613.0], [109.0, 613.0], [109.0, 627.0], [3.0, 627.0]], ('DFA PICTURES', 0.9555433392524719)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "8/1/2011", "time": "6:23:13PM", "subtotal": "SubTotal 12.50", "tax": "1.07", "total": "13.57", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "s,Camarones", "item_value": "9.75", "item_quantity": "1"}, {"item_key": "", "item_name": "IZZE`S", "item_value": "2.75", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[108.0, 112.0], [133.0, 116.0], [131.0, 126.0], [106.0, 122.0]], ('CAN', 0.9530460238456726)], [[[71.0, 136.0], [177.0, 142.0], [176.0, 156.0], [70.0, 150.0]], ('Life is burritoful', 0.9219090342521667)], [[[80.0, 163.0], [173.0, 169.0], [172.0, 183.0], [79.0, 178.0]], ('4531 Duke Street', 0.9507381916046143)], [[[67.0, 178.0], [181.0, 182.0], [181.0, 195.0], [66.0, 191.0]], ('Alexandr1aVA 22304', 0.9246560335159302)], [[[90.0, 192.0], [158.0, 194.0], [158.0, 205.0], [90.0, 203.0]], ('703-370-2152', 0.9933324456214905)], [[[5.0, 204.0], [77.0, 202.0], [77.0, 216.0], [5.0, 218.0]], ('Hostasiris', 0.893196702003479)], [[[177.0, 203.0], [232.0, 205.0], [232.0, 218.0], [177.0, 216.0]], ('07/29/2015', 0.927076518535614)], [[[5.0, 217.0], [65.0, 215.0], [65.0, 229.0], [5.0, 231.0]], ('ORDER#531', 0.9559672474861145)], [[[190.0, 215.0], [229.0, 215.0], [229.0, 230.0], [190.0, 230.0]], ('6:12P4', 0.8085370659828186)], [[[201.0, 224.0], [225.0, 224.0], [225.0, 236.0], [201.0, 236.0]], ('10441', 0.9771424531936646)], [[[6.0, 257.0], [85.0, 252.0], [86.0, 266.0], [7.0, 272.0]], ('Xx9491', 0.8116061091423035)], [[[18.0, 270.0], [92.0, 264.0], [93.0, 278.0], [19.0, 284.0]], ('Va lued Member', 0.8748828172683716)], [[[196.0, 268.0], [221.0, 268.0], [221.0, 280.0], [196.0, 280.0]], ('13.60', 0.9515998959541321)], [[[6.0, 282.0], [128.0, 273.0], [129.0, 289.0], [7.0, 298.0]], ('Chicken Bowl 2 6.80', 0.894944965839386)], [[[199.0, 280.0], [221.0, 280.0], [221.0, 292.0], [199.0, 292.0]], ('4.10', 0.9930263757705688)], [[[17.0, 295.0], [121.0, 287.0], [122.0, 301.0], [18.0, 309.0]], ('Guacamole 2 @2.05', 0.9305940866470337)], [[[200.0, 291.0], [221.0, 291.0], [221.0, 303.0], [200.0, 303.0]], ('4.5)', 0.8549907803535461)], [[[200.0, 303.0], [221.0, 303.0], [221.0, 315.0], [200.0, 315.0]], ('1.35', 0.9817553162574768)], [[[10.0, 317.0], [43.0, 317.0], [43.0, 331.0], [10.0, 331.0]], ('Chips', 0.9890365600585938)], [[[194.0, 323.0], [221.0, 323.0], [221.0, 339.0], [194.0, 339.0]], ('23.55', 0.9866604804992676)], [[[12.0, 339.0], [57.0, 339.0], [57.0, 354.0], [12.0, 354.0]], ('Subtotal', 0.9727091193199158)], [[[197.0, 335.0], [219.0, 335.0], [219.0, 348.0], [197.0, 348.0]], ('2.35', 0.8808904886245728)], [[[13.0, 354.0], [34.0, 354.0], [34.0, 366.0], [13.0, 366.0]], ('Tax', 0.9893388748168945)], [[[190.0, 353.0], [222.0, 353.0], [222.0, 385.0], [190.0, 385.0]], ('25.9', 0.7540528774261475)], [[[12.0, 376.0], [90.0, 368.0], [91.0, 382.0], [14.0, 390.0]], ('TAKE OUT Tota)', 0.9198760390281677)], [[[12.0, 389.0], [127.0, 376.0], [128.0, 389.0], [14.0, 402.0]], ('isaxxxxxxxxxxxxx7233', 0.8221813440322876)], [[[192.0, 387.0], [217.0, 387.0], [217.0, 403.0], [192.0, 403.0]], ('25.91', 0.9393684267997742)], [[[23.0, 398.0], [100.0, 392.0], [101.0, 406.0], [24.0, 412.0]], ('Authorizing..', 0.9435907602310181)], [[[13.0, 410.0], [76.0, 405.0], [77.0, 420.0], [15.0, 424.0]], ('Balance Due', 0.9181947112083435)], [[[15.0, 431.0], [121.0, 420.0], [122.0, 434.0], [17.0, 445.0]], ('Non-registered Menber', 0.9376755952835083)]]	{"store_name": "CHIPOTLE MEXICANGRILL", "store_addr": "4531DukeStreet Alexandria,VA22304", "telephone": "703-370-2152", "date": "07/29/2016", "time": "6.12PM", "subtotal": "23.55", "tax": "", "total": "25.91 25.91", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ChickenBowl([email protected])", "item_value": "13.60", "item_quantity": "1"}, {"item_key": "", "item_name": "Guacamole([email protected])", "item_value": "4.10", "item_quantity": "1"}, {"item_key": "", "item_name": "ChocolateMilk([email protected])", "item_value": "4.50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[185.0, 220.0], [624.0, 205.0], [627.0, 290.0], [188.0, 305.0]], ('Walmart', 0.9841981530189514)], [[[193.0, 306.0], [618.0, 296.0], [619.0, 330.0], [194.0, 340.0]], ('Save money.Live better.', 0.9603843092918396)], [[[412.0, 376.0], [521.0, 376.0], [521.0, 397.0], [412.0, 397.0]], ('Mainsrt', 0.7642080187797546)], [[[331.0, 397.0], [613.0, 391.0], [613.0, 421.0], [331.0, 427.0]], ('MAHAGER KEN SCHATZ', 0.928339958190918)], [[[334.0, 425.0], [613.0, 417.0], [613.0, 444.0], [335.0, 452.0]], ('3369922343', 0.9953352212905884)], [[[348.0, 446.0], [600.0, 442.0], [600.0, 474.0], [348.0, 478.0]], ('KERNERSUILLE.NC', 0.9215344786643982)], [[[176.0, 506.0], [302.0, 502.0], [303.0, 529.0], [177.0, 533.0]], ('BEVERASE', 0.8920499086380005)], [[[380.0, 497.0], [600.0, 497.0], [600.0, 523.0], [380.0, 523.0]], ('007000010346F', 0.957264244556427)], [[[673.0, 503.0], [770.0, 498.0], [771.0, 527.0], [674.0, 531.0]], ('X001', 0.818435549736023)], [[[175.0, 531.0], [302.0, 527.0], [303.0, 555.0], [176.0, 559.0]], ('BEVERAGE', 0.9740602374076843)], [[[382.0, 527.0], [600.0, 527.0], [600.0, 553.0], [382.0, 553.0]], ('007800010346F', 0.9867529273033142)], [[[673.0, 527.0], [774.0, 523.0], [775.0, 557.0], [674.0, 561.0]], ('1.00X', 0.9008509516716003)], [[[174.0, 559.0], [302.0, 553.0], [303.0, 581.0], [176.0, 588.0]], ('BEUERAGE', 0.9383756518363953)], [[[382.0, 553.0], [575.0, 553.0], [575.0, 580.0], [382.0, 580.0]], ('007800010346', 0.9959337115287781)], [[[675.0, 557.0], [774.0, 553.0], [775.0, 581.0], [676.0, 586.0]], ('1.00X', 0.9503005743026733)], [[[171.0, 584.0], [317.0, 577.0], [318.0, 610.0], [172.0, 616.0]], ('SDR 12 CT', 0.8918586373329163)], [[[382.0, 582.0], [568.0, 582.0], [568.0, 608.0], [382.0, 608.0]], ('084105800123', 0.984974205493927)], [[[679.0, 584.0], [777.0, 584.0], [777.0, 610.0], [679.0, 610.0]], ('1.97X', 0.913833737373352)], [[[171.0, 610.0], [314.0, 608.0], [314.0, 636.0], [171.0, 638.0]], ('SDR12 CT', 0.8680210113525391)], [[[382.0, 610.0], [568.0, 610.0], [568.0, 636.0], [382.0, 636.0]], ('084105000123', 0.9640154242515564)], [[[679.0, 608.0], [780.0, 608.0], [780.0, 640.0], [679.0, 640.0]], ('1.97X', 0.8933489918708801)], [[[171.0, 636.0], [316.0, 636.0], [316.0, 669.0], [171.0, 669.0]], ('SOR 12CT', 0.9144443273544312)], [[[378.0, 639.0], [569.0, 634.0], [570.0, 666.0], [378.0, 671.0]], ('084105800123', 0.9788256287574768)], [[[681.0, 636.0], [782.0, 636.0], [782.0, 669.0], [681.0, 669.0]], ('1.97X', 0.9240541458129883)], [[[167.0, 665.0], [314.0, 665.0], [314.0, 697.0], [167.0, 697.0]], ('SDR 12CT', 0.9108825325965881)], [[[380.0, 669.0], [570.0, 667.0], [570.0, 695.0], [380.0, 697.0]], ('084105800123', 0.9723512530326843)], [[[681.0, 665.0], [782.0, 665.0], [782.0, 699.0], [681.0, 699.0]], ('1.97X', 0.925155758857727)], [[[169.0, 699.0], [252.0, 699.0], [252.0, 727.0], [169.0, 727.0]], ('FLOSS', 0.9960894584655762)], [[[376.0, 695.0], [571.0, 691.0], [572.0, 723.0], [377.0, 727.0]], ('038137009470', 0.991969883441925)], [[[679.0, 693.0], [784.0, 693.0], [784.0, 725.0], [679.0, 725.0]], ('0.97X', 0.9193425178527832)], [[[169.0, 729.0], [250.0, 729.0], [250.0, 755.0], [169.0, 755.0]], ('FLOSS', 0.9960401654243469)], [[[376.0, 726.0], [573.0, 719.0], [574.0, 751.0], [377.0, 758.0]], ('038137009470', 0.9956443905830383)], [[[683.0, 723.0], [760.0, 723.0], [760.0, 752.0], [683.0, 752.0]], ('0.97', 0.9962031841278076)], [[[165.0, 757.0], [573.0, 751.0], [574.0, 784.0], [166.0, 790.0]], ('DENTAL FL0SS 038137009213', 0.9414734840393066)], [[[680.0, 750.0], [787.0, 746.0], [788.0, 780.0], [682.0, 784.0]], ('0.97X', 0.8762313723564148)], [[[163.0, 788.0], [573.0, 780.0], [574.0, 812.0], [164.0, 820.0]], ('DENTAL FL0SS 038137009213', 0.9413973093032837)], [[[680.0, 779.0], [789.0, 774.0], [790.0, 806.0], [682.0, 811.0]], ('0.97X', 0.9448277354240417)], [[[682.0, 807.0], [789.0, 802.0], [790.0, 836.0], [684.0, 841.0]], ('6.64X', 0.9243364334106445)], [[[163.0, 818.0], [573.0, 808.0], [574.0, 840.0], [164.0, 850.0]], ('COU ULT FNSH 002270003691', 0.9178182482719421)], [[[685.0, 833.0], [792.0, 833.0], [792.0, 865.0], [685.0, 865.0]], ('3.74X', 0.9224413633346558)], [[[163.0, 848.0], [575.0, 836.0], [576.0, 869.0], [164.0, 880.0]], ('COU CHEEKERS 002270006649', 0.9611231088638306)], [[[457.0, 871.0], [586.0, 867.0], [587.0, 893.0], [458.0, 897.0]], ('SUBTOTAL', 0.9912030696868896)], [[[673.0, 863.0], [760.0, 863.0], [760.0, 891.0], [673.0, 891.0]], ('25.14', 0.9952174425125122)], [[[688.0, 891.0], [794.0, 891.0], [794.0, 923.0], [688.0, 923.0]], ('0.55-0', 0.9898001551628113)], [[[159.0, 907.0], [608.0, 891.0], [610.0, 929.0], [161.0, 945.0]], ('COUP0N 78000 057800077155F', 0.9367217421531677)], [[[690.0, 923.0], [794.0, 923.0], [794.0, 956.0], [690.0, 956.0]], ('0.55-0', 0.9906545281410217)], [[[158.0, 937.0], [608.0, 923.0], [610.0, 963.0], [159.0, 977.0]], ('COUP0N 78000 057800077155F', 0.935188353061676)], [[[689.0, 949.0], [796.0, 954.0], [794.0, 988.0], [688.0, 983.0]], ('2.00-0', 0.9916313290596008)], [[[156.0, 967.0], [578.0, 955.0], [580.0, 995.0], [157.0, 1007.0]], ('COUP0N 41058 054105840082', 0.9460762143135071)], [[[692.0, 986.0], [797.0, 986.0], [797.0, 1018.0], [692.0, 1018.0]], ('2.00-0', 0.9918838143348694)], [[[156.0, 997.0], [578.0, 985.0], [580.0, 1029.0], [157.0, 1041.0]], ('COUPON 41058 054105840082', 0.9372395873069763)], [[[694.0, 1016.0], [799.0, 1016.0], [799.0, 1050.0], [694.0, 1050.0]], ('2.50-0', 0.9924640655517578)], [[[154.0, 1031.0], [578.0, 1019.0], [580.0, 1059.0], [155.0, 1071.0]], ('COUP0N 12547 051254799284', 0.9388164281845093)], [[[696.0, 1050.0], [801.0, 1050.0], [801.0, 1082.0], [696.0, 1082.0]], ('2.50-0', 0.9923615455627441)], [[[154.0, 1064.0], [578.0, 1052.0], [580.0, 1091.0], [155.0, 1103.0]], ('COUP0N 12547 051254799284', 0.9321045875549316)], [[[698.0, 1082.0], [805.0, 1082.0], [805.0, 1116.0], [698.0, 1116.0]], ('8.00-0', 0.9765293598175049)], [[[152.0, 1096.0], [578.0, 1082.0], [580.0, 1121.0], [153.0, 1135.0]], ('COUP0N 22700 052270099266', 0.9427446126937866)], [[[700.0, 1114.0], [805.0, 1114.0], [805.0, 1148.0], [700.0, 1148.0]], ('4.00-0', 0.9904882311820984)], [[[152.0, 1130.0], [582.0, 1116.0], [583.0, 1154.0], [153.0, 1168.0]], ('COUP0N 41050 054105840093', 0.9174025058746338)], [[[700.0, 1146.0], [809.0, 1146.0], [809.0, 1178.0], [700.0, 1178.0]], ('1.00-0', 0.9914513230323792)], [[[150.0, 1162.0], [616.0, 1146.0], [617.0, 1186.0], [151.0, 1202.0]], ('COUP0N 78000 057800077101F', 0.9346411228179932)], [[[457.0, 1186.0], [595.0, 1182.0], [597.0, 1216.0], [458.0, 1220.0]], ('SUBTOTAL', 0.9941461086273193)], [[[699.0, 1179.0], [773.0, 1174.0], [775.0, 1210.0], [701.0, 1215.0]], ('2.04', 0.9972020387649536)], [[[438.0, 1218.0], [569.0, 1214.0], [570.0, 1248.0], [439.0, 1252.0]], ('6.7508', 0.8981173634529114)], [[[703.0, 1212.0], [777.0, 1212.0], [777.0, 1246.0], [703.0, 1246.0]], ('1.70', 0.9970529079437256)], [[[304.0, 1226.0], [394.0, 1221.0], [395.0, 1256.0], [306.0, 1260.0]], ('TAX 1', 0.9341787099838257)], [[[512.0, 1250.0], [598.0, 1250.0], [598.0, 1284.0], [512.0, 1284.0]], ('TOTAL', 0.9979211688041687)], [[[701.0, 1246.0], [779.0, 1246.0], [779.0, 1280.0], [701.0, 1280.0]], ('3.74', 0.9846599698066711)], [[[423.0, 1287.0], [603.0, 1280.0], [604.0, 1320.0], [424.0, 1326.0]], ('CASH TEND', 0.9620198011398315)], [[[690.0, 1280.0], [779.0, 1280.0], [779.0, 1314.0], [690.0, 1314.0]], ('10.00', 0.9986642599105835)], [[[425.0, 1320.0], [601.0, 1314.0], [602.0, 1354.0], [426.0, 1360.0]], ('CHANGE DUE', 0.9426227807998657)], [[[703.0, 1315.0], [779.0, 1310.0], [781.0, 1348.0], [705.0, 1353.0]], ('6.26', 0.9959423542022705)], [[[214.0, 1398.0], [738.0, 1386.0], [739.0, 1442.0], [215.0, 1455.0]], ('#ITEMS SOLD13', 0.9574747085571289)], [[[216.0, 1487.0], [716.0, 1473.0], [717.0, 1511.0], [217.0, 1524.0]], ('TCW5521 4477 2200 41874259', 0.9164313673973083)], [[[188.0, 1632.0], [776.0, 1622.0], [777.0, 1665.0], [189.0, 1675.0]], ('Layaway is back for Electronics,', 0.9175682067871094)], [[[154.0, 1672.0], [816.0, 1658.0], [816.0, 1701.0], [155.0, 1715.0]], ('Tays,and Jeue1ry. 10/17/11-12/16/11', 0.9181631803512573)], [[[280.0, 1708.0], [430.0, 1703.0], [431.0, 1743.0], [281.0, 1747.0]], ('10/13/11', 0.9976476430892944)], [[[521.0, 1707.0], [668.0, 1707.0], [668.0, 1741.0], [521.0, 1741.0]], ('09:57:56', 0.9331324696540833)]]	{"store_name": "Walmart Walmart", "store_addr": "KERMERSVILLE,MC", "telephone": "(336)992-2343", "date": "10/13/11", "time": "09:57:56", "subtotal": "2.04", "tax": "1.70", "total": "3.74", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BEVERAGE", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BEVERAGE", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BEVERAGE", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SDR12CT", "item_value": "1.97", "item_quantity": "1"}, {"item_key": "", "item_name": "SDR12CT", "item_value": "1.97", "item_quantity": "1"}, {"item_key": "", "item_name": "SDR12CT", "item_value": "1.97", "item_quantity": "1"}, {"item_key": "", "item_name": "SDR12CT", "item_value": "1.97", "item_quantity": "1"}, {"item_key": "", "item_name": "FLOSS", "item_value": "0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "FLOSS", "item_value": "0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "DENTALFLOSS", "item_value": "0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "DENTALFLOSS", "item_value": "0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "COVULTFNSH", "item_value": "6.64", "item_quantity": "1"}, {"item_key": "", "item_name": "COVCHEEKERS", "item_value": "3.74", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[39.0, 119.0], [146.0, 122.0], [145.0, 136.0], [39.0, 134.0]], ('M15ken Levant Kitcnen', 0.8824049830436707)], [[[42.0, 133.0], [66.0, 133.0], [66.0, 144.0], [42.0, 144.0]], ('Tel:', 0.9786299467086792)], [[[41.0, 145.0], [150.0, 145.0], [150.0, 158.0], [41.0, 158.0]], ('[email protected]', 0.9171337485313416)], [[[43.0, 169.0], [99.0, 169.0], [99.0, 180.0], [43.0, 180.0]], ('Pre-Receipt', 0.9884719848632812)], [[[42.0, 191.0], [171.0, 189.0], [171.0, 203.0], [42.0, 205.0]], ('Slip: 00000M1A02000007955', 0.8989224433898926)], [[[45.0, 203.0], [111.0, 203.0], [111.0, 214.0], [45.0, 214.0]], ('Staff:Miskeh', 0.9520420432090759)], [[[43.0, 215.0], [149.0, 211.0], [150.0, 225.0], [43.0, 229.0]], ('Date:12/13/14 4:42', 0.9141882658004761)], [[[45.0, 226.0], [96.0, 226.0], [96.0, 240.0], [45.0, 240.0]], ('Table:60', 0.9430310130119324)], [[[45.0, 239.0], [111.0, 239.0], [111.0, 250.0], [45.0, 250.0]], ('Terminal No.:', 0.865775465965271)], [[[127.0, 236.0], [152.0, 236.0], [152.0, 248.0], [127.0, 248.0]], ('M1A01', 0.8598702549934387)], [[[44.0, 260.0], [102.0, 260.0], [102.0, 274.0], [44.0, 274.0]], ('Description', 0.9950454831123352)], [[[194.0, 256.0], [227.0, 256.0], [227.0, 270.0], [194.0, 270.0]], ('Anount', 0.8674755692481995)], [[[44.0, 284.0], [127.0, 281.0], [128.0, 295.0], [44.0, 299.0]], ('1Beetroot Salad', 0.9095930457115173)], [[[199.0, 279.0], [228.0, 279.0], [228.0, 293.0], [199.0, 293.0]], ('22.00', 0.9881954193115234)], [[[44.0, 297.0], [145.0, 293.0], [146.0, 307.0], [44.0, 312.0]], ('1 Fried Cheese Rol1s', 0.8755899667739868)], [[[199.0, 291.0], [229.0, 291.0], [229.0, 305.0], [199.0, 305.0]], ('27.00', 0.9938774108886719)], [[[44.0, 307.0], [155.0, 305.0], [155.0, 319.0], [44.0, 322.0]], ('1 Ha1f Bone less Chicke', 0.886232852935791)], [[[202.0, 304.0], [229.0, 304.0], [229.0, 317.0], [202.0, 317.0]], ('50.00', 0.9974275827407837)], [[[42.0, 318.0], [146.0, 317.0], [147.0, 331.0], [42.0, 333.0]], ('1Grtlled Lanb Chops', 0.8785294890403748)], [[[201.0, 315.0], [230.0, 315.0], [230.0, 329.0], [201.0, 329.0]], ('65.00', 0.9245229959487915)], [[[41.0, 330.0], [124.0, 328.0], [125.0, 341.0], [41.0, 343.0]], ('1 Chicken Tawook', 0.8733646869659424)], [[[202.0, 325.0], [231.0, 325.0], [231.0, 340.0], [202.0, 340.0]], ('45.00', 0.9920350909233093)], [[[39.0, 341.0], [146.0, 337.0], [147.0, 351.0], [39.0, 355.0]], ('1 Aquafina Water Big', 0.8893715739250183)], [[[89.0, 353.0], [120.0, 353.0], [120.0, 364.0], [89.0, 364.0]], ('12.00', 0.9973018765449524)], [[[33.0, 363.0], [102.0, 363.0], [102.0, 377.0], [33.0, 377.0]], ('1 Diet Pepsi', 0.9094604849815369)], [[[209.0, 358.0], [238.0, 358.0], [238.0, 372.0], [209.0, 372.0]], ('10.00', 0.9967473745346069)], [[[31.0, 377.0], [74.0, 377.0], [74.0, 391.0], [31.0, 391.0]], ('2 Pepsi', 0.9090273976325989)], [[[209.0, 370.0], [240.0, 370.0], [240.0, 384.0], [209.0, 384.0]], ('20.00', 0.995594322681427)], [[[23.0, 417.0], [58.0, 417.0], [58.0, 435.0], [23.0, 435.0]], ('Total', 0.9961676597595215)], [[[209.0, 410.0], [249.0, 410.0], [249.0, 428.0], [209.0, 428.0]], ('251.00', 0.9952151775360107)], [[[49.0, 432.0], [239.0, 426.0], [240.0, 443.0], [49.0, 449.0]], ('Present this receipt and enjoy', 0.9680252075195312)]]	{"store_name": "MiskehLevantKitchen", "store_addr": "", "telephone": "", "date": "12/13/14", "time": "4:42", "subtotal": "", "tax": "", "total": "251.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BeetrootSalad", "item_value": "22.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FriedCheeseRolls", "item_value": "27.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HalfBonelessChicke", "item_value": "50.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GrilledLambChops", "item_value": "65.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenTawook", "item_value": "45.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AquafinaWaterBig", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DietPepsi", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Pepsi", "item_value": "", "item_quantity": ""}, {"item_key": "Description", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[161.0, 121.0], [317.0, 121.0], [317.0, 141.0], [161.0, 141.0]], ('Tastes good is good', 0.903785228729248)], [[[191.0, 158.0], [291.0, 162.0], [290.0, 183.0], [190.0, 179.0]], ('625 Broaday', 0.9390113353729248)], [[[197.0, 179.0], [285.0, 181.0], [285.0, 202.0], [197.0, 200.0]], ('6469989464', 0.9917634129524231)], [[[65.0, 195.0], [158.0, 198.0], [157.0, 219.0], [64.0, 216.0]], ('HostBetty', 0.9431464672088623)], [[[332.0, 203.0], [414.0, 203.0], [414.0, 221.0], [332.0, 221.0]], ('12/28/2011', 0.9914506673812866)], [[[66.0, 217.0], [154.0, 217.0], [154.0, 238.0], [66.0, 238.0]], ('ORDER#760', 0.8942229747772217)], [[[370.0, 244.0], [413.0, 244.0], [413.0, 263.0], [370.0, 263.0]], ('10661', 0.9884530901908875)], [[[65.0, 279.0], [184.0, 281.0], [184.0, 301.0], [65.0, 299.0]], ('Chicken Fajita', 0.940751850605011)], [[[375.0, 283.0], [413.0, 283.0], [413.0, 306.0], [375.0, 306.0]], ('7.81', 0.925545334815979)], [[[66.0, 320.0], [260.0, 323.0], [260.0, 343.0], [66.0, 340.0]], ('Single Chicken 2 2.76', 0.9174311757087708)], [[[374.0, 324.0], [414.0, 324.0], [414.0, 347.0], [374.0, 347.0]], ('5.52', 0.976837158203125)], [[[67.0, 356.0], [145.0, 359.0], [144.0, 381.0], [66.0, 378.0]], ('Subtotal', 0.9384030103683472)], [[[368.0, 366.0], [410.0, 366.0], [410.0, 385.0], [368.0, 385.0]], ('13.33', 0.9772711992263794)], [[[66.0, 381.0], [96.0, 381.0], [96.0, 401.0], [66.0, 401.0]], ('Tax', 0.9911369681358337)], [[[371.0, 385.0], [411.0, 385.0], [411.0, 407.0], [371.0, 407.0]], ('1.19', 0.9494680762290955)], [[[65.0, 418.0], [174.0, 421.0], [174.0, 442.0], [65.0, 439.0]], ('DINE IN Tota', 0.9315004944801331)], [[[365.0, 423.0], [411.0, 425.0], [410.0, 448.0], [364.0, 446.0]], ('14.50', 0.9147709012031555)], [[[61.0, 440.0], [102.0, 440.0], [102.0, 462.0], [61.0, 462.0]], ('Cash', 0.9937086701393127)], [[[365.0, 446.0], [411.0, 446.0], [411.0, 468.0], [365.0, 468.0]], ('20.00', 0.9911617040634155)], [[[62.0, 459.0], [118.0, 465.0], [116.0, 487.0], [60.0, 481.0]], ('Change', 0.9965615272521973)], [[[371.0, 467.0], [412.0, 467.0], [412.0, 490.0], [371.0, 490.0]], ('5.50', 0.9158416390419006)], [[[90.0, 522.0], [369.0, 527.0], [369.0, 551.0], [90.0, 546.0]], ('Chipotle from 11/18 to 12/31.and', 0.9300793409347534)]]	{"store_name": "", "store_addr": "625Broadway", "telephone": "646989464", "date": "12/28/2011", "time": "5:22PM", "subtotal": "13.33", "tax": "1.18", "total": "14.50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ChickenFajita", "item_value": "7.81", "item_quantity": "1"}, {"item_key": "", "item_name": "SingleChicken", "item_value": "5.52", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[59.0, 14.0], [129.0, 9.0], [132.0, 45.0], [61.0, 51.0]], ('bar15', 0.9549440145492554)], [[[126.0, 67.0], [178.0, 56.0], [181.0, 72.0], [129.0, 83.0]], ('Check 916601', 0.7440967559814453)], [[[21.0, 84.0], [114.0, 69.0], [116.0, 88.0], [24.0, 103.0]], ('Table24Cst6', 0.924809455871582)], [[[166.0, 97.0], [193.0, 94.0], [195.0, 109.0], [167.0, 112.0]], ('175.00', 0.9810636043548584)], [[[170.0, 116.0], [200.0, 112.0], [202.0, 127.0], [172.0, 132.0]], ('196.00', 0.9691572785377502)], [[[171.0, 108.0], [195.0, 105.0], [197.0, 117.0], [172.0, 120.0]], ('0086', 0.8005651831626892)], [[[46.0, 124.0], [100.0, 115.0], [102.0, 130.0], [48.0, 139.0]], ('Fish& Chtps', 0.849492609500885)], [[[47.0, 135.0], [104.0, 124.0], [106.0, 139.0], [49.0, 150.0]], ('Pina Colada', 0.808749258518219)], [[[176.0, 128.0], [201.0, 121.0], [204.0, 133.0], [179.0, 140.0]], ('98.00', 0.8600273132324219)], [[[51.0, 145.0], [109.0, 133.0], [111.0, 147.0], [53.0, 159.0]], ('Lychee Moto', 0.8887321352958679)], [[[179.0, 136.0], [203.0, 133.0], [204.0, 145.0], [181.0, 148.0]], ('98.00', 0.8857275247573853)], [[[35.0, 151.0], [45.0, 151.0], [45.0, 159.0], [35.0, 159.0]], ('2', 0.8131799101829529)], [[[183.0, 145.0], [207.0, 141.0], [209.0, 154.0], [185.0, 158.0]], ('75.00', 0.9433622360229492)], [[[52.0, 155.0], [104.0, 145.0], [106.0, 160.0], [54.0, 169.0]], ('Snow Suner', 0.8019110560417175)], [[[54.0, 165.0], [108.0, 154.0], [110.0, 168.0], [56.0, 179.0]], ('Sake Nojito', 0.7692416906356812)], [[[56.0, 176.0], [119.0, 161.0], [122.0, 176.0], [58.0, 190.0]], ('Fresh GF Juice', 0.8721786737442017)], [[[185.0, 176.0], [215.0, 169.0], [218.0, 181.0], [188.0, 188.0]], ('802.00', 0.9838687777519226)], [[[57.0, 186.0], [107.0, 175.0], [110.0, 190.0], [60.0, 201.0]], ('Ginger Ale', 0.8791543245315552)], [[[129.0, 188.0], [171.0, 179.0], [174.0, 194.0], [132.0, 203.0]], ('SUB-TOTAL', 0.8386044502258301)], [[[96.0, 208.0], [174.0, 189.0], [177.0, 204.0], [99.0, 223.0]], ('10% SERVICE CHARGE', 0.897049605846405)], [[[194.0, 206.0], [224.0, 199.0], [227.0, 211.0], [197.0, 219.0]], ('882.20', 0.8745229244232178)], [[[152.0, 216.0], [176.0, 213.0], [177.0, 225.0], [153.0, 228.0]], ('TOTAL', 0.9744388461112976)]]	{"store_name": "bar ON15", "store_addr": "", "telephone": "", "date": "24Dec,16", "time": "00:55", "subtotal": "802.00", "tax": "", "total": "882.20", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Fish&Chips", "item_value": "175.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LycheeMojito", "item_value": "98.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SakeMojito", "item_value": "196.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FreshGFJoice", "item_value": "96.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GlngerAle", "item_value": "98.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "75.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "62.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[485.0, 80.0], [1266.0, 56.0], [1271.0, 213.0], [490.0, 236.0]], ('Walmart', 0.9942315220832825)], [[[489.0, 259.0], [1271.0, 223.0], [1274.0, 291.0], [492.0, 327.0]], ('Save money.Live better.', 0.9615159034729004)], [[[652.0, 379.0], [1252.0, 342.0], [1257.0, 410.0], [657.0, 447.0]], ('850455-4320', 0.9633603692054749)], [[[632.0, 443.0], [1253.0, 410.0], [1257.0, 478.0], [635.0, 511.0]], ('MANAGER WALTER LOTT', 0.9648535847663879)], [[[576.0, 515.0], [1326.0, 475.0], [1330.0, 543.0], [580.0, 583.0]], ('4600 MOBILE HWY STE 122', 0.9134835600852966)], [[[674.0, 578.0], [1261.0, 553.0], [1263.0, 612.0], [676.0, 637.0]], ('PENSACOLA FL32506', 0.9610580205917358)], [[[340.0, 637.0], [1604.0, 591.0], [1608.0, 672.0], [343.0, 718.0]], ('ST#16050P#00000863TE#05 TR9292', 0.9615815877914429)], [[[1393.0, 674.0], [1603.0, 658.0], [1608.0, 723.0], [1398.0, 739.0]], ('1.680', 0.9085881114006042)], [[[350.0, 693.0], [627.0, 705.0], [624.0, 766.0], [347.0, 754.0]], ('TOMATOES', 0.9956668019294739)], [[[775.0, 697.0], [1237.0, 683.0], [1239.0, 744.0], [777.0, 759.0]], ('002700037837 F', 0.965207576751709)], [[[1390.0, 736.0], [1607.0, 723.0], [1611.0, 794.0], [1394.0, 807.0]], ('1.680', 0.8991697430610657)], [[[350.0, 754.0], [627.0, 766.0], [624.0, 827.0], [347.0, 815.0]], ('TOMATOES', 0.9967904090881348)], [[[778.0, 762.0], [1237.0, 747.0], [1239.0, 809.0], [780.0, 823.0]], ('002700037837 F', 0.966247022151947)], [[[1390.0, 806.0], [1604.0, 795.0], [1608.0, 860.0], [1394.0, 871.0]], ('0.680', 0.9935106039047241)], [[[349.0, 816.0], [793.0, 827.0], [792.0, 888.0], [347.0, 877.0]], ('GV STEW TOM', 0.913413405418396)], [[[768.0, 823.0], [1237.0, 812.0], [1238.0, 874.0], [769.0, 884.0]], ('007874211540 F', 0.9610651731491089)], [[[1394.0, 867.0], [1605.0, 859.0], [1607.0, 921.0], [1396.0, 929.0]], ('0.680', 0.9927464723587036)], [[[348.0, 877.0], [1241.0, 877.0], [1241.0, 945.0], [348.0, 945.0]], ('GV STEW T0M 007874211540 F', 0.9018123149871826)], [[[344.0, 932.0], [1245.0, 935.0], [1245.0, 1003.0], [344.0, 1000.0]], ('GV T0MSAUCE 007874236952 F', 0.9204447865486145)], [[[1394.0, 929.0], [1605.0, 921.0], [1607.0, 986.0], [1396.0, 994.0]], ('0.660', 0.9920434951782227)], [[[344.0, 993.0], [1245.0, 996.0], [1245.0, 1064.0], [344.0, 1061.0]], ('GV TOM SAUCE 007874236952F', 0.9272257685661316)], [[[1394.0, 990.0], [1606.0, 986.0], [1607.0, 1050.0], [1395.0, 1054.0]], ('0.660', 0.9885210990905762)], [[[348.0, 1057.0], [1189.0, 1064.0], [1189.0, 1126.0], [348.0, 1118.0]], ('GV TOM PASTE 007874236955', 0.9296395778656006)], [[[1394.0, 1051.0], [1609.0, 1047.0], [1610.0, 1112.0], [1395.0, 1116.0]], ('0.440', 0.9793818593025208)], [[[1172.0, 1071.0], [1238.0, 1071.0], [1238.0, 1112.0], [1172.0, 1112.0]], ('PI', 0.5601177215576172)], [[[348.0, 1119.0], [1186.0, 1122.0], [1186.0, 1180.0], [348.0, 1176.0]], ('GV T0M PASTE 007874236955', 0.9287235140800476)], [[[1397.0, 1116.0], [1608.0, 1108.0], [1611.0, 1169.0], [1399.0, 1177.0]], ('0.440', 0.9828342199325562)], [[[355.0, 1183.0], [1248.0, 1183.0], [1248.0, 1241.0], [355.0, 1241.0]], ('GV T0M SAUCE 007874236952F', 0.9423355460166931)], [[[1397.0, 1177.0], [1608.0, 1169.0], [1611.0, 1230.0], [1399.0, 1238.0]], ('0.660', 0.9885262250900269)], [[[358.0, 1244.0], [1248.0, 1244.0], [1248.0, 1302.0], [358.0, 1302.0]], ('GV PEANUTS007874213919 F', 0.9523274302482605)], [[[1397.0, 1238.0], [1608.0, 1230.0], [1611.0, 1292.0], [1399.0, 1300.0]], ('2.98N', 0.9889087677001953)], [[[358.0, 1302.0], [1248.0, 1302.0], [1248.0, 1360.0], [358.0, 1360.0]], ('GV PNT BUTTR 007874237002 F', 0.9267153143882751)], [[[1405.0, 1295.0], [1613.0, 1295.0], [1613.0, 1357.0], [1405.0, 1357.0]], ('3.98 N', 0.9169542193412781)], [[[362.0, 1363.0], [605.0, 1363.0], [605.0, 1421.0], [362.0, 1421.0]], ('GV COLM', 0.9468766450881958)], [[[786.0, 1364.0], [1252.0, 1360.0], [1252.0, 1418.0], [786.0, 1421.0]], ('060538898804 F', 0.9686458706855774)], [[[1405.0, 1357.0], [1610.0, 1357.0], [1610.0, 1418.0], [1405.0, 1418.0]], ('3.18N', 0.9881917834281921)], [[[362.0, 1425.0], [668.0, 1425.0], [668.0, 1482.0], [362.0, 1482.0]], ('SOY SAUCE', 0.9507899880409241)], [[[786.0, 1421.0], [1251.0, 1418.0], [1252.0, 1479.0], [786.0, 1483.0]], ('007874213187F', 0.9973815083503723)], [[[1405.0, 1418.0], [1610.0, 1418.0], [1610.0, 1479.0], [1405.0, 1479.0]], ('1.880', 0.9901478886604309)], [[[362.0, 1482.0], [1252.0, 1479.0], [1252.0, 1540.0], [362.0, 1544.0]], ('GV BRN SUGAR 007874237221 F', 0.916922390460968)], [[[1408.0, 1476.0], [1613.0, 1476.0], [1613.0, 1537.0], [1408.0, 1537.0]], ('1.500', 0.9894827008247375)], [[[786.0, 1540.0], [1252.0, 1537.0], [1252.0, 1594.0], [786.0, 1598.0]], ('007874237104 F', 0.9626580476760864)], [[[1405.0, 1537.0], [1613.0, 1537.0], [1613.0, 1598.0], [1405.0, 1598.0]], ('248N', 0.9895855188369751)], [[[369.0, 1550.0], [716.0, 1550.0], [716.0, 1598.0], [369.0, 1598.0]], ('GV OATMEAL', 0.9191676378250122)], [[[369.0, 1608.0], [709.0, 1608.0], [709.0, 1666.0], [369.0, 1666.0]], ('GV OATMEAL', 0.9453312754631042)], [[[785.0, 1602.0], [1255.0, 1594.0], [1256.0, 1656.0], [786.0, 1663.0]], ('007874237104 F', 0.9600692987442017)], [[[1412.0, 1601.0], [1613.0, 1601.0], [1613.0, 1659.0], [1412.0, 1659.0]], ('N7', 0.812292218208313)], [[[1200.0, 1666.0], [1248.0, 1666.0], [1248.0, 1710.0], [1200.0, 1710.0]], ('F', 0.9711852669715881)], [[[1407.0, 1660.0], [1612.0, 1652.0], [1614.0, 1713.0], [1410.0, 1721.0]], ('1.78N', 0.6833537817001343)], [[[365.0, 1670.0], [1199.0, 1659.0], [1200.0, 1717.0], [366.0, 1727.0]], ('GV SALTIN MG 007874202791', 0.953165590763092)], [[[1412.0, 1714.0], [1617.0, 1714.0], [1617.0, 1775.0], [1412.0, 1775.0]], ('1.78N', 0.9738227725028992)], [[[368.0, 1727.0], [1199.0, 1720.0], [1200.0, 1778.0], [369.0, 1785.0]], ('GV SALTIN MG 007874202791', 0.9554634690284729)], [[[1203.0, 1731.0], [1245.0, 1731.0], [1245.0, 1761.0], [1203.0, 1761.0]], ('F', 0.6256703734397888)], [[[1408.0, 1775.0], [1616.0, 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[1002.0, 2016.0], [404.0, 2027.0]], ('* VOIDED ENTRY *', 0.8931566476821899)], [[[800.0, 2020.0], [1255.0, 2016.0], [1255.0, 2077.0], [800.0, 2081.0]], ('000000004889KF', 0.9908037185668945)], [[[1415.0, 2013.0], [1617.0, 2013.0], [1617.0, 2071.0], [1415.0, 2071.0]], ('0.98-N', 0.9618923664093018)], [[[386.0, 2033.0], [643.0, 2033.0], [643.0, 2081.0], [386.0, 2081.0]], ('CILANTRO', 0.9962489604949951)], [[[1415.0, 2071.0], [1620.0, 2071.0], [1620.0, 2132.0], [1415.0, 2132.0]], ('0.94N', 0.9876001477241516)], [[[375.0, 2081.0], [1258.0, 2070.0], [1259.0, 2138.0], [376.0, 2149.0]], ('ITAL PARSLEY 000000004901KI', 0.9570396542549133)], [[[799.0, 2142.0], [1258.0, 2135.0], [1259.0, 2193.0], [800.0, 2200.0]], ('000000004048KI', 0.9838399887084961)], [[[382.0, 2152.0], [546.0, 2152.0], [546.0, 2203.0], [382.0, 2203.0]], ('LIMES', 0.9973605871200562)], [[[1022.0, 2196.0], [1168.0, 2196.0], [1168.0, 2258.0], [1022.0, 2258.0]], ('0.68', 0.9970729947090149)], [[[1415.0, 2190.0], [1620.0, 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2434.0], [1627.0, 2492.0], [1415.0, 2492.0]], ('5.97T', 0.9477428197860718)], [[[393.0, 2448.0], [650.0, 2448.0], [650.0, 2496.0], [393.0, 2496.0]], ('BAREFOOT', 0.9897438287734985)], [[[389.0, 2503.0], [1261.0, 2488.0], [1263.0, 2557.0], [390.0, 2571.0]], ('5LB GRDBFCK 007874212321 F', 0.9402665495872498)], [[[1394.0, 2496.0], [1631.0, 2496.0], [1631.0, 2553.0], [1394.0, 2553.0]], ('14.950', 0.9907650947570801)], [[[970.0, 2557.0], [1227.0, 2557.0], [1227.0, 2615.0], [970.0, 2615.0]], ('SUBTOTAL', 0.9971545338630676)], [[[1391.0, 2553.0], [1565.0, 2553.0], [1565.0, 2615.0], [1391.0, 2615.0]], ('59.88', 0.935793399810791)], [[[674.0, 2618.0], [1178.0, 2611.0], [1179.0, 2682.0], [675.0, 2690.0]], ('TAX17.500%', 0.9807977676391602)], [[[1419.0, 2615.0], [1561.0, 2615.0], [1561.0, 2679.0], [1419.0, 2679.0]], ('0.45', 0.9929182529449463)], [[[1068.0, 2676.0], [1227.0, 2676.0], [1227.0, 2737.0], [1068.0, 2737.0]], ('TOTAL', 0.9984104037284851)], [[[1394.0, 2676.0], [1565.0, 2676.0], [1565.0, 2737.0], [1394.0, 2737.0]], ('60.33', 0.9932634234428406)], [[[904.0, 2737.0], [1240.0, 2730.0], [1242.0, 2801.0], [905.0, 2809.0]], ('CASH TEND', 0.9595893025398254)], [[[1394.0, 2737.0], [1565.0, 2737.0], [1565.0, 2798.0], [1394.0, 2798.0]], ('60.35', 0.9953988194465637)], [[[911.0, 2802.0], [1234.0, 2798.0], [1235.0, 2859.0], [912.0, 2863.0]], ('CHANGE DUE', 0.9670360684394836)], [[[1422.0, 2795.0], [1568.0, 2795.0], [1568.0, 2859.0], [1422.0, 2859.0]], ('0.02', 0.9941462278366089)], [[[525.0, 2921.0], [1488.0, 2921.0], [1488.0, 3023.0], [525.0, 3023.0]], ('#ITEMS SOLD 27', 0.9211849570274353)], [[[532.0, 3084.0], [1436.0, 3087.0], [1436.0, 3145.0], [532.0, 3142.0]], ('TC#35841253 1207 9505 7108', 0.9418395757675171)]]	{"store_name": "Walmart", "store_addr": "4600MOBILEHWYSTE122 PENSACOLAFL32506", "telephone": "(850)455-4320", "date": "", "time": "", "subtotal": "59.88", "tax": "0.45", "total": "60.33", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "TOMATOES", "item_value": "1.68", "item_quantity": "1"}, {"item_key": "", "item_name": "TOMATOES", "item_value": "1.68", "item_quantity": "1"}, {"item_key": "", "item_name": "GVSTEWTOM", "item_value": "0.68", "item_quantity": "1"}, {"item_key": "", "item_name": "GVSTEWTOM", "item_value": "0.68", "item_quantity": "1"}, {"item_key": "", "item_name": "GVTOMSAUCE", "item_value": "0.66", "item_quantity": "1"}, {"item_key": "", "item_name": "GVTOMSAUCE", "item_value": "0.66", "item_quantity": "1"}, {"item_key": "", "item_name": "GVTOMPASTE", "item_value": "0.44", "item_quantity": "1"}, {"item_key": "", "item_name": "GVTOMPASTE", "item_value": "0.44", "item_quantity": "1"}, {"item_key": "", "item_name": "GVTOMSAUCE", "item_value": "0.66", "item_quantity": "1"}, {"item_key": "", "item_name": "GVPEANUTS", "item_value": "2.98", "item_quantity": "1"}, {"item_key": "", "item_name": "GVPNTBUTTR", "item_value": "3.98", "item_quantity": "1"}, {"item_key": "", "item_name": "GVCOLM", "item_value": "3.18", "item_quantity": "1"}, {"item_key": "", "item_name": "SOYSAUCE", "item_value": "1.88", "item_quantity": "1"}, {"item_key": "", "item_name": "GVBRNSUGAR", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "GVOATMEAL", "item_value": "2.48", "item_quantity": "1"}, {"item_key": "", "item_name": "GVOATMEAL", "item_value": "1.78", "item_quantity": "1"}, {"item_key": "", "item_name": "GVSALTINMG", "item_value": "1.78", "item_quantity": "1"}, {"item_key": "", "item_name": "GVSALTINMG", "item_value": "1.78", "item_quantity": "1"}, {"item_key": "", "item_name": "GVSALTINMG", "item_value": "0.98", "item_quantity": "1"}, {"item_key": "", "item_name": "CILANTRO", "item_value": "0.98", "item_quantity": "1"}, {"item_key": "", "item_name": "CILANTRO", "item_value": "0.98-", "item_quantity": "1"}, {"item_key": "", "item_name": "CILANTRO", "item_value": "0.94", "item_quantity": "1"}, {"item_key": "", "item_name": "ITALPARSLEY", "item_value": "1.36", "item_quantity": "1"}, {"item_key": "", "item_name": "GARLIC", "item_value": "0.68", "item_quantity": "1"}, {"item_key": "", "item_name": "YLWONION", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BAREFOOT", "item_value": "2.78", "item_quantity": "1"}, {"item_key": "", "item_name": "5LBGRDBFCK", "item_value": "5.97", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "14.95", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[131.0, 99.0], [189.0, 99.0], [189.0, 110.0], [131.0, 110.0]], ('770-803-5800', 0.9769516587257385)], [[[65.0, 123.0], [125.0, 123.0], [125.0, 134.0], [65.0, 134.0]], ('Server:Chr1s', 0.9233576655387878)], [[[209.0, 123.0], [256.0, 123.0], [256.0, 134.0], [209.0, 134.0]], ('10/01/2015', 0.9981193542480469)], [[[64.0, 142.0], [109.0, 145.0], [108.0, 159.0], [63.0, 156.0]], ('Guests:2', 0.930095911026001)], [[[66.0, 134.0], [111.0, 134.0], [111.0, 145.0], [66.0, 145.0]], ('Table 61/1', 0.9079397320747375)], [[[220.0, 133.0], [257.0, 133.0], [257.0, 147.0], [220.0, 147.0]], ('2:08PM', 0.8766501545906067)], [[[198.0, 153.0], [255.0, 156.0], [254.0, 170.0], [198.0, 168.0]], ('#40030', 0.9957756996154785)], [[[65.0, 186.0], [228.0, 188.0], [227.0, 202.0], [65.0, 200.0]], ('ENJOY 10X OFF ALL FOOD ITEKS ON YOUR', 0.8400238156318665)], [[[66.0, 177.0], [214.0, 179.0], [214.0, 190.0], [66.0, 188.0]], ('*************************', 0.6093661189079285)], [[[66.0, 197.0], [240.0, 199.0], [240.0, 212.0], [66.0, 210.0]], ('NEXT VISIT! SHARE YOUR FEEDBACK WITH US', 0.8974859714508057)], [[[68.0, 208.0], [187.0, 209.0], [187.0, 220.0], [68.0, 219.0]], ('AT WN.PFCHANGSFEEDBACK.COM', 0.9150180816650391)], [[[68.0, 220.0], [166.0, 220.0], [166.0, 230.0], [68.0, 230.0]], ('SA XN H N', 0.5273067951202393)], [[[64.0, 249.0], [166.0, 249.0], [166.0, 262.0], [64.0, 262.0]], ('Straw Cucuber Limeade', 0.9010509252548218)], [[[228.0, 259.0], [254.0, 262.0], [253.0, 276.0], [227.0, 273.0]], ('14.25', 0.9711722135543823)], [[[231.0, 250.0], [253.0, 250.0], [253.0, 262.0], [231.0, 262.0]], ('3.95', 0.9750869274139404)], [[[65.0, 260.0], [126.0, 262.0], [126.0, 273.0], [64.0, 271.0]], ('Honey Chicken', 0.9414888024330139)], [[[63.0, 281.0], [143.0, 282.0], [143.0, 296.0], [62.0, 295.0]], ('Rice-Fried Side', 0.9317539930343628)], [[[64.0, 273.0], [129.0, 273.0], [129.0, 284.0], [64.0, 284.0]], ('Sesane Chtcken', 0.8703327775001526)], [[[229.0, 273.0], [254.0, 273.0], [254.0, 285.0], [229.0, 285.0]], ('14.50', 0.9782106280326843)], [[[232.0, 283.0], [255.0, 286.0], [254.0, 298.0], [231.0, 295.0]], ('1.00', 0.9919801950454712)], [[[62.0, 314.0], [151.0, 315.0], [151.0, 330.0], [61.0, 328.0]], ('ENTER SURVEY CODE', 0.8999544978141785)], [[[61.0, 340.0], [163.0, 340.0], [163.0, 353.0], [61.0, 353.0]], ('036 380090 111015', 0.9312170147895813)], [[[59.0, 364.0], [134.0, 364.0], [134.0, 377.0], [59.0, 377.0]], ('VALIDATION CODE:', 0.972664475440979)], [[[57.0, 375.0], [250.0, 376.0], [250.0, 390.0], [57.0, 389.0]], ('REDEEM WITHIN 30 DAYS AT ANY P.F.CHANGS', 0.9252663850784302)], [[[56.0, 388.0], [230.0, 390.0], [229.0, 403.0], [56.0, 401.0]], ('ONE COUPON PER VISIT.NO CASH VALUE.', 0.9429359436035156)], [[[54.0, 401.0], [250.0, 403.0], [250.0, 417.0], [54.0, 415.0]], ('CANNOT BE COMBINED WITH ANY OTHER OFFER.', 0.9532617330551147)], [[[54.0, 413.0], [216.0, 416.0], [216.0, 429.0], [54.0, 426.0]], ('*******************************', 0.8457843661308289)]]	{"store_name": "P.F.Chang'sChinaBistro", "store_addr": "1524CUMBERLANDMALI ATLANTA,GA30339", "telephone": "770-803-5800", "date": "10/01/2015", "time": "2:08PM", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "StrawCucumberLineade", "item_value": "3.95", "item_quantity": "1"}, {"item_key": "", "item_name": "HoneyChicken", "item_value": "14.25", "item_quantity": "1"}, {"item_key": "", "item_name": "SesameChicken", "item_value": "14.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Rice-FriedSide", "item_value": "1.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[425.0, 0.0], [537.0, 0.0], [537.0, 13.0], [425.0, 13.0]], ('3.073.9010', 0.6936761140823364)], [[[220.0, 22.0], [388.0, 27.0], [388.0, 49.0], [220.0, 45.0]], ('Server Andrea', 0.9590095281600952)], [[[590.0, 33.0], [702.0, 35.0], [702.0, 58.0], [590.0, 55.0]], ('05/09/2015', 0.9967406988143921)], [[[220.0, 49.0], [351.0, 49.0], [351.0, 70.0], [220.0, 70.0]], ('Table107/1', 0.9840397834777832)], [[[618.0, 57.0], [706.0, 57.0], [706.0, 76.0], [618.0, 76.0]], ('10:38PM', 0.9559876322746277)], [[[217.0, 74.0], [330.0, 74.0], [330.0, 96.0], [217.0, 96.0]], ('Guests:2', 0.9439988732337952)], [[[577.0, 98.0], [715.0, 98.0], [715.0, 120.0], [577.0, 120.0]], ('#10048', 0.97883540391922)], [[[210.0, 150.0], [278.0, 150.0], [278.0, 177.0], [210.0, 177.0]], ('BREAD', 0.9974735975265503)], [[[672.0, 149.0], [723.0, 149.0], [723.0, 174.0], [672.0, 174.0]], ('5.00', 0.9964538812637329)], [[[209.0, 180.0], [266.0, 177.0], [267.0, 203.0], [210.0, 206.0]], ('SOUP', 0.9964931011199951)], [[[665.0, 175.0], [725.0, 175.0], [725.0, 198.0], [665.0, 198.0]], ('13.00', 0.9847313165664673)], [[[208.0, 208.0], [327.0, 206.0], [328.0, 231.0], [208.0, 234.0]], ('BLACK COD', 0.9552084803581238)], [[[669.0, 203.0], [730.0, 203.0], [730.0, 226.0], [669.0, 226.0]], ('31.00', 0.9958261251449585)], [[[206.0, 237.0], [313.0, 236.0], [314.0, 259.0], [206.0, 260.0]], ('PORRIDGE', 0.9973152875900269)], [[[670.0, 229.0], [735.0, 226.0], [736.0, 253.0], [671.0, 255.0]], ('33.00', 0.9966793060302734)], [[[676.0, 255.0], [740.0, 255.0], [740.0, 282.0], [676.0, 282.0]], ('12.00', 0.996512234210968)], [[[202.0, 265.0], [300.0, 262.0], [301.0, 288.0], [203.0, 290.0]], ('RHUBARB', 0.9949416518211365)], [[[681.0, 283.0], [746.0, 283.0], [746.0, 309.0], [681.0, 309.0]], ('14.00', 0.9965996742248535)], [[[201.0, 295.0], [532.0, 288.0], [532.0, 313.0], [202.0, 319.0]], ('Syrah, MGraillot Equinoxe', 0.9414029717445374)], [[[677.0, 340.0], [756.0, 337.0], [757.0, 364.0], [678.0, 366.0]], ('108.00', 0.9962873458862305)], [[[194.0, 355.0], [308.0, 351.0], [309.0, 379.0], [195.0, 382.0]], ('Subtotal', 0.9968748688697815)], [[[705.0, 368.0], [763.0, 365.0], [764.0, 393.0], [706.0, 396.0]], ('9.45', 0.9965148568153381)], [[[191.0, 383.0], [241.0, 386.0], [239.0, 416.0], [189.0, 413.0]], ('Tax', 0.9925763010978699)], [[[692.0, 429.0], [776.0, 427.0], [777.0, 458.0], [693.0, 460.0]], ('117.45', 0.994852602481842)], [[[183.0, 450.0], [260.0, 446.0], [262.0, 481.0], [185.0, 485.0]], ('Total', 0.992560088634491)], [[[628.0, 501.0], [787.0, 493.0], [789.0, 522.0], [629.0, 531.0]], ('117.45', 0.9905899167060852)], [[[177.0, 522.0], [510.0, 505.0], [511.0, 538.0], [178.0, 555.0]], ('Balance Due', 0.9398544430732727)], [[[422.0, 582.0], [571.0, 572.0], [574.0, 609.0], [424.0, 619.0]], ('THANK YOU!', 0.9207144975662231)], [[[376.0, 629.0], [608.0, 614.0], [610.0, 647.0], [378.0, 662.0]], ('www.AsterSf.co', 0.7765974998474121)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "05/09/2015", "time": "10:38PM", "subtotal": "108.00", "tax": "9.45", "total": "117.45 117.45", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Syrah,MGraillotEquinoxe", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RHUBARB", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PORRIDGE", "item_value": "33.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BLACKCOD", "item_value": "31.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SOUP", "item_value": "13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BREAD", "item_value": "5.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[189.0, 158.0], [536.0, 159.0], [536.0, 187.0], [189.0, 186.0]], ('CUSTOMER RECEIPT PAGE01/01', 0.956348180770874)], [[[79.0, 237.0], [220.0, 237.0], [220.0, 264.0], [79.0, 264.0]], ('MAY172012', 0.996291995048523)], [[[412.0, 232.0], [515.0, 230.0], [516.0, 259.0], [413.0, 261.0]], ('ID JHPNC', 0.931727945804596)], [[[97.0, 290.0], [266.0, 290.0], [266.0, 311.0], [97.0, 311.0]], ('QUEEN & MCCAUL', 0.927033007144928)], [[[98.0, 315.0], [257.0, 315.0], [257.0, 339.0], [98.0, 339.0]], ('TORONTO,ONT.', 0.9473912715911865)], [[[413.0, 307.0], [504.0, 305.0], [504.0, 333.0], [414.0, 335.0]], ('TR40022', 0.998567521572113)], [[[424.0, 357.0], [517.0, 355.0], [518.0, 382.0], [425.0, 384.0]], ('PIN Y', 0.920977771282196)], [[[89.0, 388.0], [271.0, 386.0], [271.0, 410.0], [89.0, 412.0]], ('OFFICER ID:489', 0.9248131513595581)], [[[93.0, 434.0], [330.0, 433.0], [330.0, 457.0], [93.0, 458.0]], ('Student Loan Payment', 0.9571765661239624)], [[[404.0, 480.0], [543.0, 478.0], [543.0, 506.0], [404.0, 508.0]], ('$114,460.00', 0.9582465887069702)], [[[96.0, 530.0], [216.0, 530.0], [216.0, 555.0], [96.0, 555.0]], ('Cash Given', 0.9462043642997742)], [[[406.0, 553.0], [545.0, 553.0], [545.0, 580.0], [406.0, 580.0]], ('$114,460.30', 0.9581294655799866)], [[[94.0, 603.0], [331.0, 603.0], [331.0, 624.0], [94.0, 624.0]], ('Student Loan Payment', 0.9585814476013184)], [[[481.0, 651.0], [548.0, 651.0], [548.0, 680.0], [481.0, 680.0]], ('$0.30', 0.9962041974067688)], [[[74.0, 706.0], [545.0, 706.0], [545.0, 723.0], [74.0, 723.0]], ('************************************', 0.9583740234375)], [[[259.0, 751.0], [376.0, 753.0], [375.0, 782.0], [259.0, 780.0]], ('Thank You', 0.95279860496521)], [[[219.0, 780.0], [411.0, 782.0], [411.0, 810.0], [219.0, 808.0]], ('Have a good Day', 0.9421253204345703)], [[[63.0, 839.0], [552.0, 839.0], [552.0, 856.0], [63.0, 856.0]], ('************************************', 0.9760674834251404)]]	{"store_name": "", "store_addr": "QUEEN&MCCAUL TORONTO,ONT.", "telephone": "", "date": "MAY172012", "time": "", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "StudentLoanPayment", "item_value": "$114,460.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[194.0, 7.0], [305.0, 5.0], [306.0, 37.0], [195.0, 39.0]], ('LADL', 0.9336080551147461)], [[[135.0, 73.0], [362.0, 73.0], [362.0, 94.0], [135.0, 94.0]], ('Paris Compans 3214', 0.938400387763977)], [[[148.0, 102.0], [341.0, 102.0], [341.0, 123.0], [148.0, 123.0]], ('72 rue de Compans', 0.9298748970031738)], [[[182.0, 129.0], [319.0, 129.0], [319.0, 153.0], [182.0, 153.0]], ('75019 Paris', 0.9670105576515198)], [[[79.0, 158.0], [408.0, 156.0], [408.0, 179.0], [79.0, 181.0]], ('Lundi-Samedi :8h30-20h00', 0.9435856342315674)], [[[430.0, 183.0], [469.0, 180.0], [471.0, 207.0], [432.0, 211.0]], ('EUR', 0.9967498183250427)], [[[11.0, 216.0], [182.0, 216.0], [182.0, 237.0], [11.0, 237.0]], ('PORTO BLANC 19%', 0.9368305206298828)], [[[419.0, 211.0], [492.0, 209.0], [493.0, 238.0], [420.0, 240.0]], ('4,99B', 0.9261733293533325)], [[[9.0, 244.0], [176.0, 242.0], [176.0, 266.0], [9.0, 268.0]], ('PORTO 10 ANS D', 0.895142138004303)], [[[420.0, 240.0], [490.0, 237.0], [492.0, 263.0], [421.0, 266.0]], ('8,79B', 0.912421703338623)], [[[11.0, 273.0], [170.0, 273.0], [170.0, 294.0], [11.0, 294.0]], ('PORTO 19%V0L.', 0.8817968964576721)], [[[420.0, 268.0], [490.0, 266.0], [490.0, 292.0], [421.0, 294.0]], ('469B', 0.9901805520057678)], [[[12.0, 301.0], [184.0, 301.0], [184.0, 322.0], [12.0, 322.0]], ('CIDRE BRUT DE N', 0.9360212683677673)], [[[421.0, 296.0], [489.0, 296.0], [489.0, 322.0], [421.0, 322.0]], ('1,19B', 0.9161408543586731)], [[[10.0, 329.0], [240.0, 327.0], [240.0, 350.0], [10.0, 352.0]], ('DEVID0IR DE RU 69369', 0.9169306755065918)], [[[421.0, 324.0], [488.0, 324.0], [488.0, 350.0], [421.0, 350.0]], ('1,79B', 0.9087692499160767)], [[[11.0, 388.0], [170.0, 391.0], [169.0, 433.0], [10.0, 430.0]], ('A payer', 0.9495562314987183)], [[[350.0, 382.0], [462.0, 380.0], [463.0, 427.0], [351.0, 429.0]], ('21,45', 0.9633184671401978)], [[[12.0, 457.0], [72.0, 457.0], [72.0, 483.0], [12.0, 483.0]], ('Carte', 0.9986639022827148)], [[[400.0, 452.0], [462.0, 450.0], [463.0, 479.0], [401.0, 481.0]], ('21,45', 0.9637261629104614)], [[[22.0, 515.0], [186.0, 512.0], [187.0, 536.0], [23.0, 539.0]], ('B 19,6% TVA de', 0.8871552348136902)], [[[295.0, 508.0], [355.0, 508.0], [355.0, 537.0], [295.0, 537.0]], ('21,45', 0.9127243757247925)], [[[415.0, 509.0], [464.0, 509.0], [464.0, 536.0], [415.0, 536.0]], ('3,52', 0.9636539220809937)], [[[13.0, 570.0], [77.0, 570.0], [77.0, 596.0], [13.0, 596.0]], ('3214', 0.9921322464942932)], [[[65.0, 569.0], [197.0, 569.0], [197.0, 593.0], [65.0, 593.0]], ('002082/02', 0.966167688369751)], [[[310.0, 566.0], [396.0, 566.0], [396.0, 591.0], [310.0, 591.0]], ('03.03.12', 0.9889186024665833)], [[[62.0, 655.0], [433.0, 653.0], [433.0, 674.0], [63.0, 676.0]], ('LIDL vous remercie pour vos achats', 0.9537710547447205)], [[[94.0, 681.0], [396.0, 679.0], [397.0, 703.0], [94.0, 705.0]], ('LIDL,TOUJOURS MOINS CHER', 0.9530627727508545)], [[[98.0, 711.0], [397.0, 711.0], [397.0, 731.0], [98.0, 731.0]], ('Ticket a va leur de garantie', 0.9218341708183289)], [[[49.0, 738.0], [438.0, 736.0], [439.0, 761.0], [49.0, 763.0]], ('Retour marchandises pendant un mois', 0.9663181900978088)], [[[84.0, 767.0], [410.0, 764.0], [410.0, 788.0], [84.0, 791.0]], ('sur presentation de ce ticket', 0.9489322900772095)], [[[107.0, 795.0], [401.0, 793.0], [401.0, 817.0], [108.0, 819.0]], ('sauf ordinateurs,maillots', 0.9581296443939209)], [[[154.0, 824.0], [345.0, 824.0], [345.0, 845.0], [154.0, 845.0]], ('et sous-vetements', 0.9815528988838196)], [[[173.0, 850.0], [263.0, 850.0], [263.0, 863.0], [173.0, 863.0]], ('odalitas', 0.821951150894165)], [[[366.0, 852.0], [397.0, 852.0], [397.0, 862.0], [366.0, 862.0]], ('in', 0.9245166778564453)]]	{"store_name": "", "store_addr": "ParisCompans3214_ 72ruedeCompans 75019Paris", "telephone": "", "date": "03.03.12", "time": "", "subtotal": "21,45", "tax": "3,52", "total": "21,45 21,45", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PORTOBLANC19%", "item_value": "4,99", "item_quantity": "1"}, {"item_key": "", "item_name": "PORTO10ANSD'", "item_value": "8,79", "item_quantity": "1"}, {"item_key": "", "item_name": "PORTO19%VOL.", "item_value": "4,69", "item_quantity": "1"}, {"item_key": "", "item_name": "CIDREBRUTDEN", "item_value": "1,19", "item_quantity": "1"}, {"item_key": "", "item_name": "DEVIDOIRDERU69369", "item_value": "1,79", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[130.0, 30.0], [389.0, 37.0], [388.0, 77.0], [129.0, 70.0]], ('Kalamazoo Beer Exchange', 0.9536868929862976)], [[[150.0, 74.0], [366.0, 79.0], [365.0, 101.0], [150.0, 97.0]], ('211 E.Water Street', 0.951277494430542)], [[[191.0, 104.0], [327.0, 104.0], [327.0, 126.0], [191.0, 126.0]], ('269-532-1188', 0.9895139336585999)], [[[12.0, 176.0], [161.0, 183.0], [160.0, 210.0], [11.0, 202.0]], ('Guest Receipt', 0.9655290246009827)], [[[355.0, 182.0], [477.0, 178.0], [477.0, 204.0], [356.0, 207.0]], ('Party of 2', 0.9285092353820801)], [[[11.0, 203.0], [121.0, 211.0], [120.0, 237.0], [9.0, 230.0]], ('Table3', 0.9849362373352051)], [[[311.0, 207.0], [401.0, 209.0], [401.0, 235.0], [310.0, 232.0]], ('Ticket', 0.9856328964233398)], [[[391.0, 208.0], [476.0, 208.0], [476.0, 234.0], [391.0, 234.0]], ('12001', 0.9922466278076172)], [[[10.0, 233.0], [207.0, 241.0], [206.0, 267.0], [9.0, 259.0]], ('ServerGregory', 0.9924837946891785)], [[[415.0, 236.0], [478.0, 236.0], [478.0, 263.0], [415.0, 263.0]], ('PATIO', 0.995077908039093)], [[[9.0, 260.0], [109.0, 266.0], [107.0, 293.0], [8.0, 286.0]], ('07:55PM', 0.9360814690589905)], [[[324.0, 267.0], [475.0, 267.0], [475.0, 292.0], [324.0, 292.0]], ('Date06/16/11', 0.996087372303009)], [[[8.0, 317.0], [24.0, 317.0], [24.0, 342.0], [8.0, 342.0]], ('1', 0.8809686303138733)], [[[55.0, 320.0], [219.0, 324.0], [218.0, 349.0], [54.0, 346.0]], ('BEER TASTE 10Z', 0.9441849589347839)], [[[8.0, 349.0], [23.0, 349.0], [23.0, 371.0], [8.0, 371.0]], ('1', 0.9798656105995178)], [[[54.0, 350.0], [219.0, 352.0], [219.0, 377.0], [54.0, 375.0]], ('BEER TASTE 10Z', 0.9366698861122131)], [[[7.0, 378.0], [21.0, 378.0], [21.0, 398.0], [7.0, 398.0]], ('1', 0.9852024912834167)], [[[54.0, 377.0], [219.0, 382.0], [218.0, 407.0], [53.0, 402.0]], ('BEER TASTE 10Z', 0.9385507702827454)], [[[6.0, 408.0], [20.0, 408.0], [20.0, 428.0], [6.0, 428.0]], ('1', 0.9839460253715515)], [[[53.0, 407.0], [172.0, 409.0], [172.0, 434.0], [53.0, 432.0]], ('Lion Stout', 0.971333384513855)], [[[426.0, 409.0], [479.0, 409.0], [479.0, 437.0], [426.0, 437.0]], ('4.50', 0.9693999886512756)], [[[6.0, 437.0], [19.0, 437.0], [19.0, 457.0], [6.0, 457.0]], ('1', 0.9412283301353455)], [[[55.0, 436.0], [196.0, 441.0], [195.0, 464.0], [54.0, 459.0]], ('Fish n Chips', 0.9285338521003723)], [[[419.0, 438.0], [478.0, 438.0], [478.0, 465.0], [419.0, 465.0]], ('13.00', 0.9941356778144836)], [[[5.0, 466.0], [20.0, 466.0], [20.0, 488.0], [5.0, 488.0]], ('1', 0.9808955788612366)], [[[54.0, 467.0], [171.0, 467.0], [171.0, 489.0], [54.0, 489.0]], ('Lion Stout', 0.9575197100639343)], [[[426.0, 467.0], [479.0, 467.0], [479.0, 494.0], [426.0, 494.0]], ('4.75', 0.8786085247993469)], [[[0.0, 495.0], [18.0, 492.0], [21.0, 513.0], [3.0, 516.0]], ('1', 0.9886670112609863)], [[[53.0, 495.0], [169.0, 495.0], [169.0, 517.0], [53.0, 517.0]], ('Lion Stout', 0.9560428857803345)], [[[425.0, 496.0], [479.0, 496.0], [479.0, 523.0], [425.0, 523.0]], ('2.75', 0.9417107105255127)], [[[2.0, 523.0], [19.0, 523.0], [19.0, 545.0], [2.0, 545.0]], ('1', 0.9706671237945557)], [[[49.0, 521.0], [219.0, 524.0], [219.0, 549.0], [49.0, 546.0]], ('BEER TASTE 10Z', 0.9446962475776672)], [[[2.0, 552.0], [17.0, 552.0], [17.0, 574.0], [2.0, 574.0]], ('1', 0.9768054485321045)], [[[50.0, 551.0], [149.0, 551.0], [149.0, 576.0], [50.0, 576.0]], ('Palm Ale', 0.8952392339706421)], [[[430.0, 553.0], [480.0, 553.0], [480.0, 577.0], [430.0, 577.0]], ('5.25', 0.99143385887146)], [[[2.0, 581.0], [15.0, 581.0], [15.0, 602.0], [2.0, 602.0]], ('1', 0.9446619749069214)], [[[49.0, 580.0], [159.0, 580.0], [159.0, 605.0], [49.0, 605.0]], ('Bar Chips', 0.9695920944213867)], [[[430.0, 581.0], [482.0, 581.0], [482.0, 609.0], [430.0, 609.0]], ('5.00', 0.9942030310630798)], [[[1.0, 611.0], [16.0, 611.0], [16.0, 633.0], [1.0, 633.0]], ('1', 0.9795148372650146)], [[[51.0, 611.0], [205.0, 611.0], [205.0, 633.0], [51.0, 633.0]], ('Fried Pickles', 0.9697948694229126)], [[[430.0, 610.0], [482.0, 610.0], [482.0, 637.0], [430.0, 637.0]], ('6.00', 0.9967923164367676)], [[[2.0, 641.0], [15.0, 641.0], [15.0, 663.0], [2.0, 663.0]], ('1', 0.9658357501029968)], [[[48.0, 638.0], [231.0, 640.0], [231.0, 665.0], [48.0, 663.0]], ('Mushroom Crepes', 0.978685736656189)], [[[423.0, 640.0], [482.0, 640.0], [482.0, 666.0], [423.0, 666.0]], ('12.00', 0.9961554408073425)], [[[0.0, 672.0], [12.0, 670.0], [15.0, 690.0], [3.0, 692.0]], ('1', 0.838566780090332)], [[[47.0, 670.0], [148.0, 670.0], [148.0, 695.0], [47.0, 695.0]], ('Palm Ale', 0.9110453128814697)], [[[431.0, 668.0], [483.0, 668.0], [483.0, 697.0], [431.0, 697.0]], ('3.00', 0.9909563660621643)], [[[230.0, 729.0], [339.0, 729.0], [339.0, 756.0], [230.0, 756.0]], ('Sub Total', 0.8844507932662964)], [[[422.0, 727.0], [486.0, 727.0], [486.0, 758.0], [422.0, 758.0]], ('56.25', 0.9920440912246704)], [[[231.0, 759.0], [343.0, 762.0], [342.0, 789.0], [230.0, 785.0]], ('Sales Tax', 0.9557797312736511)], [[[432.0, 760.0], [486.0, 760.0], [486.0, 787.0], [432.0, 787.0]], ('2.16', 0.9955604076385498)], [[[229.0, 790.0], [485.0, 790.0], [485.0, 838.0], [229.0, 838.0]], ('Check Total $58.41', 0.9502402544021606)], [[[228.0, 839.0], [284.0, 839.0], [284.0, 888.0], [228.0, 888.0]], ('Cash', 0.9931274056434631)], [[[415.0, 835.0], [488.0, 835.0], [488.0, 890.0], [415.0, 890.0]], ('58.41', 0.9778341054916382)], [[[226.0, 887.0], [489.0, 884.0], [490.0, 935.0], [227.0, 939.0]], ('Change Due.00', 0.9495835900306702)], [[[198.0, 967.0], [318.0, 967.0], [318.0, 993.0], [198.0, 993.0]], ('Thank You!', 0.9347277879714966)]]	{"store_name": "KalamazooBeerExchange", "store_addr": "211E,WaterStreet", "telephone": "269-532-1188", "date": "06/16/11", "time": "07:55PM", "subtotal": "56.25", "tax": "2.16", "total": "$58.41", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BEERTASTE10Z", "item_value": "4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BEERTASTE10Z", "item_value": "13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BEERTASTE10Z", "item_value": "4.75", "item_quantity": "1"}, {"item_key": "", "item_name": "LionStout", "item_value": "2.75", "item_quantity": "1"}, {"item_key": "", "item_name": "FishnChips", "item_value": "5.25", "item_quantity": "1"}, {"item_key": "", "item_name": "LionStout", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LionStout", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BEERTASTE10Z", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PalmAle", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BarChips", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "FriedPicklees", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MushroomCrepes", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "PalmAle", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[360.0, 296.0], [955.0, 307.0], [954.0, 375.0], [359.0, 365.0]], ('GUCCI', 0.793612003326416)], [[[339.0, 421.0], [495.0, 421.0], [495.0, 450.0], [339.0, 450.0]], ('Store 524', 0.9583685994148254)], [[[606.0, 426.0], [749.0, 426.0], [749.0, 454.0], [606.0, 454.0]], ('Reg#760', 0.9625864624977112)], [[[879.0, 425.0], [1055.0, 430.0], [1055.0, 458.0], [878.0, 454.0]], ('Tran# 9800', 0.9362508654594421)], [[[332.0, 448.0], [488.0, 443.0], [489.0, 472.0], [333.0, 476.0]], ('EXCHANGE', 0.9945968389511108)], [[[518.0, 443.0], [735.0, 450.0], [734.0, 480.0], [517.0, 474.0]], ('Rng# 4850715', 0.9539611339569092)], [[[797.0, 447.0], [1010.0, 454.0], [1009.0, 484.0], [796.0, 478.0]], ('Se1#4850715', 0.9505334496498108)], [[[320.0, 498.0], [542.0, 496.0], [542.0, 524.0], [320.0, 526.0]], ('RETURN ITEMS', 0.9628399014472961)], [[[312.0, 518.0], [1041.0, 531.0], [1040.0, 565.0], [312.0, 552.0]], ('Or1gina1 Se1# 4850715 0rigina1 Store 524', 0.9050178527832031)], [[[308.0, 551.0], [585.0, 551.0], [585.0, 579.0], [308.0, 579.0]], ('MENS DGNR BELT', 0.9558725953102112)], [[[302.0, 579.0], [567.0, 581.0], [566.0, 609.0], [302.0, 607.0]], ('883339926131 R', 0.9633660912513733)], [[[915.0, 589.0], [1065.0, 589.0], [1065.0, 623.0], [915.0, 623.0]], ('285.00', 0.995717465877533)], [[[296.0, 609.0], [470.0, 609.0], [470.0, 637.0], [296.0, 637.0]], ('SALES TAX', 0.9533125758171082)], [[[936.0, 623.0], [1067.0, 623.0], [1067.0, 651.0], [936.0, 651.0]], ('24.58', 0.9891940355300903)], [[[283.0, 672.0], [571.0, 672.0], [571.0, 700.0], [283.0, 700.0]], ('RETURN SUBTOTAL', 0.970379650592804)], [[[926.0, 680.0], [1080.0, 680.0], [1080.0, 714.0], [926.0, 714.0]], ('285.00', 0.9937295913696289)], [[[277.0, 706.0], [569.0, 706.0], [569.0, 734.0], [277.0, 734.0]], ('SALES TAX TOTAL', 0.9451419711112976)], [[[944.0, 714.0], [1085.0, 712.0], [1086.0, 748.0], [945.0, 750.0]], ('24.58', 0.9888055920600891)], [[[269.0, 740.0], [505.0, 740.0], [505.0, 768.0], [269.0, 768.0]], ('RETURN TOTAL', 0.9684481620788574)], [[[932.0, 748.0], [1090.0, 748.0], [1090.0, 782.0], [932.0, 782.0]], ('309.58', 0.9957954287528992)], [[[265.0, 811.0], [464.0, 809.0], [464.0, 845.0], [265.0, 847.0]], ('ALE ITEMS', 0.9668829441070557)], [[[242.0, 851.0], [562.0, 843.0], [563.0, 877.0], [243.0, 886.0]], ('MENS DGNR BELT', 0.933775007724762)], [[[234.0, 890.0], [496.0, 881.0], [497.0, 915.0], [235.0, 924.0]], ('883339925148', 0.9424988627433777)], [[[965.0, 887.0], [1100.0, 887.0], [1100.0, 932.0], [965.0, 932.0]], ('285.00', 0.994459331035614)], [[[217.0, 970.0], [508.0, 962.0], [509.0, 1002.0], [218.0, 1011.0]], ('SALE SUBTOTAL', 0.9668382406234741)], [[[975.0, 972.0], [1110.0, 972.0], [1110.0, 1008.0], [975.0, 1008.0]], ('285.00', 0.996025562286377)], [[[207.0, 1015.0], [576.0, 1004.0], [577.0, 1044.0], [208.0, 1055.0]], ('SALESTAX4.625%', 0.9870452284812927)], [[[1004.0, 1012.0], [1121.0, 1012.0], [1121.0, 1055.0], [1004.0, 1055.0]], ('13.18', 0.9973157644271851)], [[[199.0, 1059.0], [551.0, 1048.0], [553.0, 1091.0], [200.0, 1102.0]], ('SALES TAX 4.00%', 0.9347436428070068)], [[[1006.0, 1055.0], [1129.0, 1055.0], [1129.0, 1097.0], [1006.0, 1097.0]], ('11.40', 0.9885713458061218)], [[[189.0, 1105.0], [424.0, 1101.0], [425.0, 1143.0], [189.0, 1148.0]], ('SALE TOTAL', 0.9552052617073059)], [[[991.0, 1101.0], [1137.0, 1101.0], [1137.0, 1145.0], [991.0, 1145.0]], ('309.58', 0.9974731802940369)], [[[166.0, 1202.0], [389.0, 1198.0], [390.0, 1248.0], [167.0, 1253.0]], ('NET TOTAL', 0.9416409730911255)], [[[1047.0, 1196.0], [1158.0, 1196.0], [1158.0, 1248.0], [1047.0, 1248.0]], ('0.00', 0.9980119466781616)], [[[131.0, 1364.0], [267.0, 1359.0], [270.0, 1417.0], [133.0, 1422.0]], ('TOTAL', 0.9989113807678223)], [[[1071.0, 1357.0], [1186.0, 1357.0], [1186.0, 1412.0], [1071.0, 1412.0]], ('0.00', 0.9975388050079346)], [[[108.0, 1485.0], [763.0, 1474.0], [764.0, 1528.0], [109.0, 1539.0]], ('Tota1 Items Returned =1', 0.9336645603179932)], [[[96.0, 1549.0], [792.0, 1543.0], [792.0, 1597.0], [97.0, 1603.0]], ('Tota1 Items Purchased=1', 0.9512350559234619)], [[[297.0, 1862.0], [1071.0, 1855.0], [1072.0, 1910.0], [298.0, 1916.0]], ('R0524076098001217101', 0.9922230839729309)]]	{"store_name": "GUCCI", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "(285.00) 285.00", "tax": "(24.58) (24.58) 13.18 11.40", "total": "(309.58) 309.58 0.00 0.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MENSDGNR:BELT", "item_value": "(285.00)", "item_quantity": "1"}, {"item_key": "", "item_name": "MENSDGNR:BELT", "item_value": "285.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[58.0, 215.0], [464.0, 206.0], [465.0, 234.0], [58.0, 243.0]], ('BUY ONE GET ONE FREE QUARTER POUNDER', 0.9450326561927795)], [[[128.0, 247.0], [394.0, 240.0], [395.0, 264.0], [128.0, 271.0]], ('W/CHEESE OR EGG MCMUFFIN', 0.9487988948822021)], [[[66.0, 277.0], [461.0, 273.0], [461.0, 298.0], [66.0, 302.0]], ('Go to www.mcdvoice.com within 7 days', 0.9387862682342529)], [[[112.0, 306.0], [424.0, 302.0], [425.0, 327.0], [113.0, 331.0]], ('and tell us about your visit.', 0.9596616625785828)], [[[105.0, 337.0], [274.0, 332.0], [275.0, 354.0], [106.0, 359.0]], ('Validation Code:', 0.9625132083892822)], [[[90.0, 360.0], [453.0, 361.0], [452.0, 383.0], [90.0, 382.0]], ('Expires 30 days after receipt date', 0.9444382786750793)], [[[83.0, 383.0], [464.0, 388.0], [464.0, 413.0], [83.0, 408.0]], ("Valid at participating US McDona ld's.", 0.9411585927009583)], [[[177.0, 410.0], [369.0, 414.0], [369.0, 436.0], [177.0, 432.0]], ('5948 GEORGIA AVE NW', 0.9359132647514343)], [[[217.0, 436.0], [319.0, 439.0], [319.0, 461.0], [217.0, 458.0]], ('WASHINGTON', 0.9955238103866577)], [[[254.0, 460.0], [283.0, 463.0], [280.0, 486.0], [251.0, 483.0]], ('DC', 0.9950882196426392)], [[[244.0, 488.0], [296.0, 488.0], [296.0, 510.0], [244.0, 510.0]], ('20011', 0.9989660382270813)], [[[165.0, 510.0], [377.0, 517.0], [377.0, 539.0], [164.0, 532.0]], ('!!!THANK YOU!!!', 0.8435488343238831)], [[[115.0, 535.0], [428.0, 546.0], [427.0, 568.0], [114.0, 557.0]], ('TEL# 1866)-663-3604 Store# 695', 0.9285285472869873)], [[[61.0, 609.0], [120.0, 612.0], [119.0, 639.0], [60.0, 636.0]], ('KS#3', 0.9961541891098022)], [[[251.0, 617.0], [473.0, 626.0], [473.0, 650.0], [250.0, 641.0]], ("Oct.25'15 Sun19:09", 0.9286124110221863)], [[[55.0, 665.0], [307.0, 676.0], [306.0, 700.0], [54.0, 689.0]], ('MFY SIDE 1 KVS Order 27', 0.9116816520690918)], [[[46.0, 724.0], [138.0, 726.0], [137.0, 752.0], [45.0, 750.0]], ('QTY ITEM', 0.9404048323631287)], [[[421.0, 738.0], [482.0, 742.0], [480.0, 770.0], [419.0, 766.0]], ('TOTAL', 0.9983963966369629)], [[[66.0, 755.0], [302.0, 766.0], [301.0, 791.0], [65.0, 780.0]], ('1 Cpy Btrmi lk Ckn Meal', 0.8834601640701294)], [[[429.0, 768.0], [482.0, 771.0], [480.0, 800.0], [427.0, 797.0]], ('6.99', 0.9976164698600769)], [[[83.0, 785.0], [172.0, 791.0], [170.0, 817.0], [81.0, 811.0]], ('1 M Coke', 0.9138036370277405)], [[[56.0, 810.0], [120.0, 817.0], [117.0, 848.0], [53.0, 841.0]], ('1 Bag', 0.9274696111679077)], [[[430.0, 831.0], [482.0, 834.0], [480.0, 862.0], [428.0, 859.0]], ('0.00', 0.9969042539596558)], [[[27.0, 873.0], [120.0, 880.0], [118.0, 909.0], [25.0, 903.0]], ('Subtotal', 0.990355372428894)], [[[429.0, 895.0], [482.0, 895.0], [482.0, 926.0], [429.0, 926.0]], ('6.99', 0.9960106611251831)], [[[46.0, 907.0], [88.0, 912.0], [84.0, 943.0], [43.0, 938.0]], ('Tax', 0.9951089024543762)], [[[429.0, 929.0], [483.0, 929.0], [483.0, 960.0], [429.0, 960.0]], ('0.70', 0.9945788383483887)]]	{"store_name": "", "store_addr": "20011 DC WASHINGTON 5948GEORGIAAVENW", "telephone": "1(866)-663-3604", "date": "Oct.25'15(Sun)", "time": "19:09", "subtotal": "6.99", "tax": "0.70", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Bag", "item_value": "6.99", "item_quantity": "1"}, {"item_key": "", "item_name": "MCoke", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CpyBtrmilkCknMeal", "item_value": "", "item_quantity": ""}, {"item_key": "ITEM", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[111.0, 40.0], [217.0, 40.0], [217.0, 53.0], [111.0, 53.0]], ('OFFICEDEPOT 2164', 0.8279809355735779)], [[[96.0, 54.0], [233.0, 54.0], [233.0, 67.0], [96.0, 67.0]], ('10348 East US Hghway 36', 0.870047390460968)], [[[121.0, 67.0], [207.0, 66.0], [207.0, 80.0], [121.0, 81.0]], ('AvonIN46123', 0.9681605696678162)], [[[130.0, 82.0], [207.0, 82.0], [207.0, 94.0], [130.0, 94.0]], ('317271-4617', 0.9765880107879639)], [[[44.0, 96.0], [163.0, 94.0], [163.0, 108.0], [44.0, 110.0]], ('07/28/201112', 0.956299364566803)], [[[224.0, 94.0], [274.0, 94.0], [274.0, 105.0], [224.0, 105.0]], ('457PM', 0.7883487343788147)], [[[44.0, 112.0], [119.0, 112.0], [119.0, 123.0], [44.0, 123.0]], ('STR2164REG', 0.9052772521972656)], [[[140.0, 109.0], [258.0, 107.0], [258.0, 121.0], [140.0, 123.0]], ('TRN 6754 EHP467127', 0.9134150743484497)], [[[45.0, 140.0], [73.0, 140.0], [73.0, 153.0], [45.0, 153.0]], ('SALE', 0.9971334338188171)], [[[43.0, 154.0], [106.0, 152.0], [106.0, 167.0], [43.0, 169.0]], ('Product 10', 0.9044725298881531)], [[[135.0, 151.0], [204.0, 153.0], [204.0, 167.0], [135.0, 165.0]], ('Description', 0.952221155166626)], [[[239.0, 149.0], [273.0, 149.0], [273.0, 164.0], [239.0, 164.0]], ('Total', 0.8810717463493347)], [[[43.0, 168.0], [199.0, 165.0], [199.0, 179.0], [43.0, 182.0]], ('656554TBL.TF101A1.10BLK', 0.882645308971405)], [[[235.0, 164.0], [286.0, 164.0], [286.0, 178.0], [235.0, 178.0]], ('29999S', 0.9405645728111267)], [[[57.0, 184.0], [109.0, 184.0], [109.0, 195.0], [57.0, 195.0]], ('Discount', 0.8969400525093079)], [[[103.0, 182.0], [229.0, 178.0], [229.0, 192.0], [103.0, 196.0]], ('ri9inay$399 99', 0.8128615021705627)], [[[43.0, 212.0], [195.0, 208.0], [195.0, 222.0], [43.0, 226.0]], ('Amount scount s100 00', 0.8139577507972717)], [[[237.0, 221.0], [277.0, 221.0], [277.0, 235.0], [237.0, 235.0]], ('299.99', 0.9398409724235535)], [[[45.0, 243.0], [103.0, 243.0], [103.0, 254.0], [45.0, 254.0]], ('Sales Tax', 0.9218559265136719)], [[[241.0, 237.0], [277.0, 235.0], [278.0, 250.0], [242.0, 252.0]], ('21.00', 0.9801324009895325)], [[[137.0, 255.0], [172.0, 255.0], [172.0, 269.0], [137.0, 269.0]], ('Total', 0.9501279592514038)], [[[239.0, 251.0], [278.0, 251.0], [278.0, 265.0], [239.0, 265.0]], ('32099', 0.9845036268234253)], [[[79.0, 271.0], [173.0, 269.0], [173.0, 283.0], [79.0, 285.0]], ('Debt Card 4842', 0.9064607620239258)], [[[239.0, 266.0], [279.0, 266.0], [279.0, 280.0], [239.0, 280.0]], ('32099', 0.9951130747795105)], [[[90.0, 316.0], [252.0, 313.0], [252.0, 327.0], [90.0, 330.0]], ('Total Dffice Depot Savngs', 0.8744493126869202)], [[[151.0, 330.0], [198.0, 328.0], [199.0, 343.0], [152.0, 345.0]], ('$100.00', 0.9925934672355652)], [[[126.0, 396.0], [233.0, 393.0], [233.0, 407.0], [126.0, 410.0]], ('2TVT39YPY4556MC8M', 0.960212230682373)]]	{"store_name": "OFFICEDEPOT#2164", "store_addr": "10348EastUSHighway36 Avon:IN46123", "telephone": "(317)271-4617", "date": "07/28/2011", "time": "4:57PM", "subtotal": "299.99", "tax": "21.00", "total": "320.99", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "TBL,TF101A1,10,BLK", "item_value": "299.99", "item_quantity": "1"}, {"item_key": "Descripton", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[1066.0, 183.0], [1514.0, 195.0], [1511.0, 300.0], [1063.0, 288.0]], ('TARGET', 0.9957220554351807)], [[[1089.0, 282.0], [1503.0, 293.0], [1501.0, 340.0], [1088.0, 329.0]], ('EXPECT MORE.PAY LESS:', 0.9175501465797424)], [[[922.0, 384.0], [1516.0, 391.0], [1516.0, 439.0], [921.0, 432.0]], ('WINDS0R-860-907-3068', 0.9632840156555176)], [[[622.0, 651.0], [1097.0, 685.0], [1092.0, 753.0], [617.0, 719.0]], ('CLEANING SUPPLIES', 0.9837820529937744)], [[[626.0, 709.0], [882.0, 740.0], [876.0, 787.0], [620.0, 757.0]], ('003050705', 0.9898961186408997)], [[[1582.0, 731.0], [1746.0, 731.0], [1746.0, 792.0], [1582.0, 792.0]], ('$2.50', 0.9876910448074341)], [[[1026.0, 741.0], [1189.0, 741.0], [1189.0, 792.0], [1026.0, 792.0]], ('WINDEX', 0.9974685311317444)], [[[622.0, 760.0], [1045.0, 790.0], [1040.0, 848.0], [618.0, 818.0]], ('8110100198001', 0.997086226940155)], [[[1019.0, 792.0], [1300.0, 792.0], [1300.0, 840.0], [1019.0, 840.0]], ('MFR COUPON', 0.9524377584457397)], [[[1575.0, 785.0], [1739.0, 785.0], [1739.0, 847.0], [1575.0, 847.0]], ('$1.50-', 0.9702487587928772)], [[[1043.0, 837.0], [1460.0, 833.0], [1461.0, 891.0], [1044.0, 894.0]], ('$1.00 off $3.50', 0.9199358820915222)], [[[622.0, 907.0], [825.0, 919.0], [821.0, 980.0], [618.0, 968.0]], ('GROCERY', 0.9969984292984009)], [[[621.0, 961.0], [881.0, 977.0], [877.0, 1034.0], [618.0, 1019.0]], ('231130038', 0.998622477054596)], [[[1029.0, 986.0], [1186.0, 986.0], [1186.0, 1037.0], [1029.0, 1037.0]], ('CEREAL', 0.9982982277870178)], [[[1417.0, 977.0], [1525.0, 991.0], [1518.0, 1046.0], [1409.0, 1032.0]], ('FN', 0.9754891395568848)], [[[1568.0, 989.0], [1725.0, 989.0], [1725.0, 1037.0], [1568.0, 1037.0]], ('$2.05', 0.9958311915397644)], [[[1026.0, 1030.0], [1589.0, 1030.0], [1589.0, 1088.0], [1026.0, 1088.0]], ('Saved $1.21 off $3.49', 0.9271864891052246)], [[[1029.0, 1085.0], [1634.0, 1085.0], [1634.0, 1132.0], [1029.0, 1132.0]], ('Cartwheel 10% off $2.28', 0.9075223803520203)], [[[617.0, 1111.0], [884.0, 1119.0], [882.0, 1177.0], [615.0, 1169.0]], ('231130038', 0.9976387023925781)], [[[1029.0, 1136.0], [1196.0, 1136.0], [1196.0, 1183.0], [1029.0, 1183.0]], ('CEREAL', 0.9980672001838684)], [[[1415.0, 1132.0], [1593.0, 1132.0], [1593.0, 1187.0], [1415.0, 1187.0]], ('FNS', 0.7704170346260071)], [[[1568.0, 1136.0], [1718.0, 1136.0], [1718.0, 1183.0], [1568.0, 1183.0]], ('$2.05', 0.9950121641159058)], [[[1033.0, 1183.0], [1582.0, 1183.0], [1582.0, 1231.0], [1033.0, 1231.0]], ('Saved $1.21 off $3.49', 0.9201895594596863)], [[[1033.0, 1234.0], [1634.0, 1234.0], [1634.0, 1282.0], [1033.0, 1282.0]], ('Cartwheel 10% off $2.28', 0.9182319045066833)], [[[624.0, 1261.0], [880.0, 1269.0], [879.0, 1320.0], [622.0, 1312.0]], ('270050198', 0.962691068649292)], [[[1033.0, 1278.0], [1321.0, 1278.0], [1321.0, 1323.0], [1033.0, 1323.0]], ('VANS WAFFLE', 0.9648498892784119)], [[[1412.0, 1282.0], [1485.0, 1282.0], [1485.0, 1329.0], [1412.0, 1329.0]], ('FN', 0.9873462915420532)], [[[1572.0, 1278.0], [1718.0, 1278.0], [1718.0, 1329.0], [1572.0, 1329.0]], ('$2.50', 0.9939143061637878)], [[[1753.0, 1289.0], [1784.0, 1289.0], [1784.0, 1323.0], [1753.0, 1323.0]], ('T', 0.7310671806335449)], [[[627.0, 1312.0], [957.0, 1320.0], [956.0, 1367.0], [626.0, 1360.0]], ('589947000828', 0.9988389611244202)], [[[1029.0, 1326.0], [1297.0, 1326.0], [1297.0, 1374.0], [1029.0, 1374.0]], ('MFR COUPON', 0.9559825658798218)], [[[1572.0, 1326.0], [1721.0, 1326.0], [1721.0, 1377.0], [1572.0, 1377.0]], ('$2.00-', 0.9188854694366455)], [[[627.0, 1359.0], [880.0, 1367.0], [879.0, 1415.0], [625.0, 1407.0]], ('270060227', 0.9978907704353333)], [[[1033.0, 1374.0], [1269.0, 1374.0], [1269.0, 1421.0], [1033.0, 1421.0]], ('LING LING', 0.9644851684570312)], [[[1412.0, 1370.0], [1481.0, 1370.0], [1481.0, 1428.0], [1412.0, 1428.0]], ('FN', 0.9878640174865723)], [[[1572.0, 1374.0], [1711.0, 1374.0], [1711.0, 1425.0], [1572.0, 1425.0]], ('$5.99', 0.9671748876571655)], [[[627.0, 1407.0], [957.0, 1418.0], [955.0, 1466.0], [625.0, 1455.0]], ('510878100875', 0.9974983334541321)], [[[1029.0, 1418.0], [1294.0, 1418.0], [1294.0, 1465.0], [1029.0, 1465.0]], ('MFR COUPON', 0.9479252099990845)], [[[1568.0, 1425.0], [1718.0, 1425.0], [1718.0, 1472.0], [1568.0, 1472.0]], ('$3.00', 0.9949042201042175)], [[[629.0, 1462.0], [873.0, 1462.0], [873.0, 1510.0], [629.0, 1510.0]], ('270060227', 0.9983022212982178)], [[[1036.0, 1465.0], [1273.0, 1465.0], [1273.0, 1513.0], [1036.0, 1513.0]], ('LING LING', 0.9385818839073181)], [[[1408.0, 1462.0], [1481.0, 1462.0], [1481.0, 1520.0], [1408.0, 1520.0]], ('FN', 0.9928089380264282)], [[[1568.0, 1469.0], [1711.0, 1469.0], [1711.0, 1516.0], [1568.0, 1516.0]], ('$5.99', 0.9948328137397766)], [[[627.0, 1502.0], [957.0, 1513.0], [955.0, 1565.0], [625.0, 1553.0]], ('510878100875', 0.9988518357276917)], [[[1027.0, 1509.0], [1294.0, 1517.0], [1293.0, 1568.0], [1025.0, 1560.0]], ('MFR COUPON', 0.960912823677063)], [[[1567.0, 1521.0], [1719.0, 1512.0], [1722.0, 1563.0], [1570.0, 1572.0]], ('$3.00-', 0.9444753527641296)], [[[633.0, 1557.0], [880.0, 1557.0], [880.0, 1605.0], [633.0, 1605.0]], ('284101433', 0.9970518946647644)], [[[1026.0, 1561.0], [1214.0, 1561.0], [1214.0, 1608.0], [1026.0, 1608.0]], ('CHOBANI', 0.9877352714538574)], [[[1412.0, 1557.0], [1481.0, 1557.0], [1481.0, 1615.0], [1412.0, 1615.0]], ('FN', 0.9921768307685852)], [[[1572.0, 1564.0], [1718.0, 1564.0], [1718.0, 1612.0], [1572.0, 1612.0]], ('$2.00', 0.9944486618041992)], [[[1753.0, 1571.0], [1784.0, 1571.0], [1784.0, 1608.0], [1753.0, 1608.0]], ('T', 0.6277041435241699)], [[[629.0, 1605.0], [988.0, 1605.0], [988.0, 1652.0], [629.0, 1652.0]], ('8110308182900', 0.9980921149253845)], [[[1023.0, 1605.0], [1294.0, 1608.0], [1293.0, 1656.0], [1022.0, 1652.0]], ('MFR COUPON', 0.9528170824050903)], [[[1572.0, 1608.0], [1725.0, 1608.0], [1725.0, 1659.0], [1572.0, 1659.0]], ('$1.00-', 0.9779340624809265)], [[[633.0, 1656.0], [848.0, 1656.0], [848.0, 1703.0], [633.0, 1703.0]], ('10177957', 0.9984586238861084)], [[[1029.0, 1656.0], [1367.0, 1656.0], [1367.0, 1703.0], [1029.0, 1703.0]], ('TARGET COUPON', 0.9676089882850647)], [[[1568.0, 1656.0], [1721.0, 1656.0], [1721.0, 1707.0], [1568.0, 1707.0]], ('$0.05', 0.9938288927078247)], [[[631.0, 1696.0], [849.0, 1704.0], [847.0, 1752.0], [629.0, 1744.0]], ('10177957', 0.9987415075302124)], [[[1033.0, 1703.0], [1367.0, 1703.0], [1367.0, 1751.0], [1033.0, 1751.0]], ('TARGET COUPON', 0.9680203795433044)], [[[1570.0, 1696.0], [1726.0, 1704.0], [1723.0, 1759.0], [1567.0, 1750.0]], ('$0.05-', 0.9572391510009766)], [[[633.0, 1751.0], [1290.0, 1751.0], [1290.0, 1799.0], [633.0, 1799.0]], ('8110100186270MFR C0UPON', 0.9500548243522644)], [[[1568.0, 1751.0], [1728.0, 1751.0], [1728.0, 1802.0], [1568.0, 1802.0]], ('$2.00', 0.9957839846611023)], [[[1257.0, 1842.0], [1468.0, 1850.0], [1466.0, 1901.0], [1255.0, 1893.0]], ('SUBTOTAL', 0.9969387054443359)], [[[1544.0, 1850.0], [1714.0, 1850.0], [1714.0, 1901.0], [1544.0, 1901.0]], ('$10.48', 0.993946373462677)], [[[856.0, 1890.0], [1478.0, 1897.0], [1477.0, 1952.0], [855.0, 1945.0]], ('Your REDcard Savings 5%', 0.9535924792289734)], [[[1567.0, 1893.0], [1719.0, 1901.0], [1716.0, 1952.0], [1564.0, 1944.0]], ('$0.52', 0.9903711080551147)], [[[675.0, 1941.0], [1269.0, 1948.0], [1269.0, 1996.0], [674.0, 1989.0]], ('T=CTTAX6.3500% on', 0.9624302983283997)], [[[1332.0, 1945.0], [1474.0, 1945.0], [1474.0, 1996.0], [1332.0, 1996.0]], ('$0.84', 0.9915372729301453)], [[[1568.0, 1945.0], [1711.0, 1945.0], [1711.0, 1996.0], [1568.0, 1996.0]], ('$0.05', 0.9918515086174011)], [[[1334.0, 1988.0], [1469.0, 1997.0], [1465.0, 2051.0], [1331.0, 2042.0]], ('TOTAL', 0.9976394772529602)], [[[1539.0, 1985.0], [1712.0, 1993.0], [1709.0, 2055.0], [1536.0, 2046.0]], ('$10.01', 0.9911094307899475)], [[[702.0, 2094.0], [1460.0, 2094.0], [1460.0, 2142.0], [702.0, 2142.0]], ('*2734 TARGET CHECK CARD TOTAL', 0.9417211413383484)], [[[1540.0, 2094.0], [1707.0, 2094.0], [1707.0, 2145.0], [1540.0, 2145.0]], ('$10.01', 0.9977815747261047)], [[[942.0, 2193.0], [1440.0, 2193.0], [1440.0, 2241.0], [942.0, 2241.0]], ('INDICATES SAVINGS', 0.9789456725120544)], [[[1413.0, 2352.0], [1656.0, 2360.0], [1654.0, 2421.0], [1411.0, 2413.0]], ('REDcard', 0.996219277381897)], [[[762.0, 2363.0], [967.0, 2363.0], [967.0, 2424.0], [762.0, 2424.0]], ("Today's", 0.975777268409729)], [[[1126.0, 2387.0], [1303.0, 2410.0], [1293.0, 2488.0], [1115.0, 2466.0]], ('OoFF', 0.7368555068969727)], [[[1422.0, 2413.0], [1650.0, 2425.0], [1645.0, 2497.0], [1417.0, 2484.0]], ('Savings', 0.9964290261268616)], [[[737.0, 2434.0], [984.0, 2434.0], [984.0, 2496.0], [737.0, 2496.0]], ('REDcard', 0.9960708618164062)], [[[1120.0, 2468.0], [1290.0, 2468.0], [1290.0, 2519.0], [1120.0, 2519.0]], ('TODAYO', 0.9843442440032959)], [[[742.0, 2488.0], [975.0, 2496.0], [972.0, 2568.0], [740.0, 2559.0]], ('Savings', 0.993651807308197)], [[[1406.0, 2488.0], [1663.0, 2496.0], [1661.0, 2568.0], [1404.0, 2560.0]], ('This Year', 0.9406832456588745)], [[[1120.0, 2519.0], [1287.0, 2519.0], [1287.0, 2553.0], [1120.0, 2553.0]], ('EVERY DAY', 0.9418796896934509)], [[[755.0, 2662.0], [908.0, 2662.0], [908.0, 2727.0], [755.0, 2727.0]], ('$0.52', 0.9116592407226562)], [[[1492.0, 2662.0], [1641.0, 2662.0], [1641.0, 2727.0], [1492.0, 2727.0]], ('$2.10', 0.9590345621109009)], [[[863.0, 2863.0], [1502.0, 2866.0], [1502.0, 2924.0], [862.0, 2921.0]], ('TOTAL SAVINGS THIS TRIP', 0.9476189017295837)], [[[1109.0, 2917.0], [1287.0, 2917.0], [1287.0, 2972.0], [1109.0, 2972.0]], ('$18.82', 0.9969499707221985)]]	{"store_name": "TARGET", "store_addr": "", "telephone": "WINDSOR-860-907-3068", "date": "15/14/2013", "time": "02:06PM", "subtotal": "$10.48", "tax": "$0.05", "total": "$10.01 $10.01", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "WINDEX", "item_value": "$2.05", "item_quantity": "1"}, {"item_key": "", "item_name": "CEREAL", "item_value": "$2.05", "item_quantity": "1"}, {"item_key": "", "item_name": "CEREAL", "item_value": "$2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "VANSWAFFLE", "item_value": "$2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LINGLING", "item_value": "$5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "LINGLING", "item_value": "$5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CHOBANI", "item_value": "$2.50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[111.0, 11.0], [219.0, 11.0], [219.0, 24.0], [111.0, 24.0]], ('405 N Vineyard Ave A', 0.9097899198532104)], [[[123.0, 3.0], [211.0, 2.0], [212.0, 13.0], [123.0, 14.0]], ('Cutsine of India', 0.8906927704811096)], [[[118.0, 21.0], [210.0, 21.0], [210.0, 34.0], [118.0, 34.0]], ('Ontar1o.CA 91764', 0.9006794691085815)], [[[134.0, 40.0], [195.0, 43.0], [194.0, 57.0], [133.0, 54.0]], ('Guest Check', 0.9449357390403748)], [[[135.0, 32.0], [199.0, 32.0], [199.0, 43.0], [135.0, 43.0]], ('909-937-1282', 0.9795181155204773)], [[[108.0, 53.0], [222.0, 53.0], [222.0, 66.0], [108.0, 66.0]], ('wiw.bombaycuisine.com', 0.9257557392120361)], [[[107.0, 65.0], [222.0, 65.0], [222.0, 78.0], [107.0, 78.0]], ('www.bombaybanquet.com', 0.9296460747718811)], [[[112.0, 89.0], [218.0, 89.0], [218.0, 102.0], [112.0, 102.0]], ('TABLEA2-1 Guest', 0.9364198446273804)], [[[72.0, 102.0], [254.0, 102.0], [254.0, 115.0], [72.0, 115.0]], ('Your server was Bombay Restaurant', 0.9592938423156738)], [[[67.0, 115.0], [260.0, 115.0], [260.0, 128.0], [67.0, 128.0]], ('5/4/2014 4:54:58PM-ID#0094611', 0.9105075597763062)], [[[32.0, 139.0], [59.0, 139.0], [59.0, 154.0], [32.0, 154.0]], ('ITEM', 0.9913064241409302)], [[[242.0, 140.0], [301.0, 140.0], [301.0, 154.0], [242.0, 154.0]], ('QTYPRICE', 0.9893826246261597)], [[[31.0, 166.0], [90.0, 166.0], [90.0, 180.0], [31.0, 180.0]], ('Lamb Bhuna', 0.9652634859085083)], [[[247.0, 167.0], [303.0, 167.0], [303.0, 181.0], [247.0, 181.0]], ('1$14.99', 0.984441339969635)], [[[29.0, 180.0], [196.0, 180.0], [196.0, 194.0], [29.0, 194.0]], ('Basmati Boiled Rice 1\\2 Order', 0.9321996569633484)], [[[270.0, 181.0], [303.0, 181.0], [303.0, 195.0], [270.0, 195.0]], ('$2.99', 0.9955504536628723)], [[[29.0, 196.0], [53.0, 196.0], [53.0, 207.0], [29.0, 207.0]], ('Naan', 0.9975347518920898)], [[[271.0, 195.0], [304.0, 195.0], [304.0, 209.0], [271.0, 209.0]], ('$2.99', 0.9956600069999695)], [[[137.0, 220.0], [185.0, 220.0], [185.0, 235.0], [137.0, 235.0]], ('Subtotal', 0.9807641506195068)], [[[266.0, 221.0], [303.0, 221.0], [303.0, 235.0], [266.0, 235.0]], ('$20.97', 0.9935083985328674)], [[[137.0, 233.0], [203.0, 235.0], [202.0, 252.0], [136.0, 250.0]], ('Total Taxes', 0.9460530877113342)], [[[271.0, 235.0], [304.0, 235.0], [304.0, 250.0], [271.0, 250.0]], ('$1.68', 0.9925740361213684)], [[[137.0, 264.0], [202.0, 264.0], [202.0, 278.0], [137.0, 278.0]], ('Grand Total', 0.9447227120399475)], [[[265.0, 262.0], [302.0, 262.0], [302.0, 277.0], [265.0, 277.0]], ('$22.65', 0.9887389540672302)], [[[136.0, 279.0], [200.0, 277.0], [201.0, 291.0], [137.0, 293.0]], ('Amount Due:', 0.9205791354179382)], [[[264.0, 276.0], [302.0, 276.0], [302.0, 290.0], [264.0, 290.0]], ('$22.65', 0.9933605194091797)], [[[268.0, 289.0], [300.0, 289.0], [300.0, 304.0], [268.0, 304.0]], ('22.65', 0.9932966232299805)], [[[137.0, 318.0], [194.0, 318.0], [194.0, 332.0], [137.0, 332.0]], ('Thank You!', 0.9218984842300415)], [[[99.0, 331.0], [229.0, 326.0], [230.0, 343.0], [99.0, 347.0]], ('Please Come Back Again', 0.9385242462158203)]]	{"store_name": "", "store_addr": "Ontario,CA91764 405NVineyardAve#A", "telephone": "909-937-1282", "date": "5/4/2014", "time": "4:54:58PM", "subtotal": "$20.97", "tax": "$1.68", "total": "$22.65 $22.65", "ignore": "ThankYou! ", "tips": "", "line_items": [{"item_key": "", "item_name": "Naan", "item_value": "$14.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BasmatiBoiledRice1\\2Order", "item_value": "$2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "LambBhuna", "item_value": "$2.99", "item_quantity": "1"}, {"item_key": "ITEM", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[38.0, 31.0], [267.0, 48.0], [265.0, 76.0], [36.0, 59.0]], ('TAVERNE DU PASSAGE', 0.9459124803543091)], [[[108.0, 61.0], [209.0, 68.0], [208.0, 85.0], [107.0, 78.0]], ('BDB INVEST spr1', 0.9264853000640869)], [[[84.0, 77.0], [227.0, 85.0], [226.0, 102.0], [83.0, 94.0]], ('Galerie de la Reine,30', 0.9091408252716064)], [[[110.0, 95.0], [205.0, 100.0], [204.0, 117.0], [109.0, 112.0]], ('1000 Bruxelles', 0.9283076524734497)], [[[91.0, 111.0], [222.0, 116.0], [221.0, 133.0], [90.0, 128.0]], ('TVABE0830.642.870', 0.9834132194519043)], [[[40.0, 126.0], [264.0, 133.0], [264.0, 150.0], [39.0, 143.0]], ('Te102/512.37.31Fax:02/511.09.82', 0.9407883286476135)], [[[61.0, 145.0], [243.0, 148.0], [243.0, 161.0], [60.0, 158.0]], ('cuvert 7 jours sur 7 de 12 a 24 heures', 0.9033027291297913)], [[[47.0, 161.0], [256.0, 163.0], [256.0, 178.0], [47.0, 176.0]], ('CETTE NOTE REMPLACE LE BON DE TVA', 0.9257125854492188)], [[[91.0, 179.0], [217.0, 179.0], [217.0, 193.0], [91.0, 193.0]], ('TICKET DE CAISSE TVA', 0.9427003860473633)], [[[85.0, 194.0], [223.0, 191.0], [224.0, 218.0], [86.0, 221.0]], ('Maison fondee en 1928', 0.9090613126754761)], [[[61.0, 216.0], [248.0, 213.0], [248.0, 230.0], [62.0, 233.0]], ('tp3stgp.be w.taverne-du-passage.be', 0.8651938438415527)], [[[12.0, 234.0], [162.0, 231.0], [162.0, 248.0], [13.0, 251.0]], ('jeud1 20 novembre 2014', 0.9113609790802002)], [[[254.0, 228.0], [290.0, 228.0], [290.0, 246.0], [254.0, 246.0]], ('12:34', 0.9577326774597168)], [[[31.0, 266.0], [170.0, 263.0], [170.0, 290.0], [32.0, 294.0]], ('TABLE 104', 0.9506127238273621)], [[[191.0, 271.0], [247.0, 271.0], [247.0, 289.0], [191.0, 289.0]], ('Couverts', 0.9958486557006836)], [[[268.0, 272.0], [280.0, 272.0], [280.0, 287.0], [268.0, 287.0]], ('2', 0.9899010062217712)], [[[29.0, 308.0], [160.0, 304.0], [161.0, 322.0], [29.0, 327.0]], ('1 Anguilles au vert', 0.9450178742408752)], [[[258.0, 302.0], [297.0, 302.0], [297.0, 320.0], [258.0, 320.0]], ('21.30', 0.9925069808959961)], [[[28.0, 328.0], [115.0, 324.0], [115.0, 341.0], [28.0, 345.0]], ('1 Choucroute', 0.9641140103340149)], [[[258.0, 319.0], [298.0, 319.0], [298.0, 338.0], [258.0, 338.0]], ('23.50', 0.9931265115737915)], [[[29.0, 346.0], [81.0, 346.0], [81.0, 360.0], [29.0, 360.0]], ('1Tarte', 0.9736965298652649)], [[[267.0, 339.0], [299.0, 339.0], [299.0, 356.0], [267.0, 356.0]], ("06'8", 0.8527290225028992)], [[[27.0, 363.0], [74.0, 363.0], [74.0, 378.0], [27.0, 378.0]], ('2 Eaux', 0.9116052985191345)], [[[269.0, 356.0], [299.0, 356.0], [299.0, 372.0], [269.0, 372.0]], ('6.80', 0.995055079460144)], [[[27.0, 379.0], [128.0, 375.0], [129.0, 394.0], [27.0, 397.0]], ('1 Verre de vin', 0.9210698008537292)], [[[270.0, 373.0], [300.0, 373.0], [300.0, 389.0], [270.0, 389.0]], ('7.00', 0.9932988882064819)], [[[27.0, 397.0], [108.0, 394.0], [109.0, 411.0], [27.0, 414.0]], ('1 Cafeterie', 0.9468605518341064)], [[[271.0, 391.0], [302.0, 391.0], [302.0, 408.0], [271.0, 408.0]], ('4.00', 0.9977500438690186)]]	{"store_name": "TAVERNEDUPASSAGE", "store_addr": "GaleriedelaReine,30 1000Bruxelles", "telephone": "02/512.37.31", "date": "jeudi20novembre2014", "time": "12:34", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Anguillesauvert", "item_value": "21.30", "item_quantity": "1"}, {"item_key": "", "item_name": "Choucroute", "item_value": "23.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Tarte", "item_value": "8.90", "item_quantity": "1"}, {"item_key": "", "item_name": "Eaux", "item_value": "6.80", "item_quantity": "1"}, {"item_key": "", "item_name": "Verredevin", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Cafeterie", "item_value": "4.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[392.0, 306.0], [676.0, 291.0], [679.0, 353.0], [395.0, 368.0]], ('DUPLICATE', 0.9965323209762573)], [[[611.0, 371.0], [1389.0, 343.0], [1392.0, 411.0], [614.0, 439.0]], ('Artisanal Studio Pyt.Ltd', 0.9402634501457214)], [[[834.0, 439.0], [1188.0, 428.0], [1190.0, 499.0], [836.0, 511.0]], ('LA BODEGA"', 0.9076520204544067)], [[[615.0, 528.0], [1438.0, 506.0], [1440.0, 574.0], [617.0, 596.0]], ('License Amanya Hospitality', 0.9649959802627563)], [[[399.0, 613.0], [1629.0, 577.0], [1632.0, 645.0], [401.0, 681.0]], ('29Midan Link,Walking Plaza Khan Market', 0.9264450073242188)], [[[716.0, 684.0], [1317.0, 669.0], [1318.0, 737.0], [717.0, 752.0]], ('Tel :011-43105777/', 0.9337968826293945)], [[[903.0, 759.0], [1135.0, 751.0], [1138.0, 822.0], [906.0, 830.0]], ('INVOICE', 0.9991146922111511)], [[[868.0, 841.0], [1573.0, 812.0], [1576.0, 883.0], [871.0, 912.0]], ('Dt:23-May-2015 14:22', 0.9353391528129578)], [[[399.0, 851.0], [830.0, 839.0], [832.0, 907.0], [401.0, 919.0]], ('B.NoF-1559', 0.9414165616035461)], [[[407.0, 925.0], [636.0, 925.0], [636.0, 996.0], [407.0, 996.0]], ('Tb31', 0.993942379951477)], [[[875.0, 919.0], [1083.0, 910.0], [1086.0, 982.0], [878.0, 990.0]], ('Px2', 0.9438743591308594)], [[[407.0, 1006.0], [556.0, 1006.0], [556.0, 1081.0], [407.0, 1081.0]], ('Wt:', 0.9381518363952637)], [[[879.0, 997.0], [1239.0, 982.0], [1242.0, 1053.0], [882.0, 1069.0]], ('OpRAKESH', 0.9739742279052734)], [[[1227.0, 1061.0], [1335.0, 1061.0], [1335.0, 1142.0], [1227.0, 1142.0]], ('Qty', 0.9977293014526367)], [[[1445.0, 1055.0], [1644.0, 1042.0], [1650.0, 1121.0], [1450.0, 1134.0]], ('Amount', 0.9983549118041992)], [[[410.0, 1085.0], [768.0, 1085.0], [768.0, 1156.0], [410.0, 1156.0]], ('Description', 0.9966148734092712)], [[[1480.0, 1208.0], [1684.0, 1199.0], [1687.0, 1274.0], [1484.0, 1283.0]], ('350.00', 0.9940299987792969)], [[[1328.0, 1221.0], [1370.0, 1221.0], [1370.0, 1282.0], [1328.0, 1282.0]], ('1', 0.9747578501701355)], [[[417.0, 1241.0], [1077.0, 1227.0], [1078.0, 1295.0], [418.0, 1310.0]], ('GUACAMOLE TRADICIONAL', 0.9737681150436401)], [[[1492.0, 1282.0], [1690.0, 1282.0], [1690.0, 1353.0], [1492.0, 1353.0]], ('425.00', 0.993645966053009)], [[[1328.0, 1299.0], [1370.0, 1299.0], [1370.0, 1360.0], [1328.0, 1360.0]], ('1', 0.9548878073692322)], [[[413.0, 1320.0], [712.0, 1312.0], [713.0, 1380.0], [415.0, 1388.0]], ('BEEF TACO', 0.9595349431037903)], [[[1484.0, 1368.0], [1688.0, 1359.0], [1691.0, 1430.0], [1487.0, 1439.0]], ('375.00', 0.9948108196258545)], [[[1332.0, 1380.0], [1374.0, 1380.0], [1374.0, 1435.0], [1332.0, 1435.0]], ('1', 0.9776901602745056)], [[[416.0, 1398.0], [868.0, 1383.0], [870.0, 1454.0], [419.0, 1470.0]], ('SHRIMP TOSTADA', 0.980164110660553)], [[[1495.0, 1442.0], [1693.0, 1442.0], [1693.0, 1513.0], [1495.0, 1513.0]], ('195.00', 0.9971792697906494)], [[[1335.0, 1455.0], [1377.0, 1455.0], [1377.0, 1516.0], [1335.0, 1516.0]], ('1', 0.9702845811843872)], [[[420.0, 1476.0], [746.0, 1468.0], [748.0, 1536.0], [422.0, 1544.0]], ('LEMON CHIA', 0.9770606756210327)], [[[1494.0, 1521.0], [1695.0, 1512.0], [1698.0, 1583.0], [1497.0, 1592.0]], ('195.00', 0.99611896276474)], [[[1335.0, 1533.0], [1384.0, 1533.0], [1384.0, 1591.0], [1335.0, 1591.0]], ('1', 0.950715184211731)], [[[420.0, 1558.0], [875.0, 1543.0], [877.0, 1611.0], [422.0, 1626.0]], ('TAMARIND WATER', 0.9720865488052368)], [[[1339.0, 1608.0], [1384.0, 1608.0], [1384.0, 1669.0], [1339.0, 1669.0]], ('1', 0.9863173961639404)], [[[1494.0, 1599.0], [1702.0, 1590.0], [1705.0, 1665.0], [1497.0, 1674.0]], ('650.00', 0.9937377572059631)], [[[420.0, 1633.0], [655.0, 1624.0], [658.0, 1696.0], [423.0, 1704.0]], ('SEABASS', 0.9966846704483032)], [[[1498.0, 1677.0], [1702.0, 1668.0], [1705.0, 1743.0], [1501.0, 1752.0]], ('395.00', 0.9959096312522888)], [[[1342.0, 1690.0], [1387.0, 1690.0], [1387.0, 1751.0], [1342.0, 1751.0]], ('1', 0.9752987623214722)], [[[423.0, 1715.0], [780.0, 1699.0], [783.0, 1770.0], [426.0, 1786.0]], ('TRES LECHES', 0.9598315954208374)], [[[1439.0, 1837.0], [1709.0, 1829.0], [1712.0, 1903.0], [1441.0, 1911.0]], ('2,585.00', 0.9610631465911865)], [[[997.0, 1850.0], [1352.0, 1842.0], [1353.0, 1914.0], [999.0, 1922.0]], ('Sub Total :', 0.8796917200088501)], [[[1504.0, 1919.0], [1714.0, 1906.0], [1719.0, 1981.0], [1509.0, 1994.0]], ('259.00', 0.9934021830558777)], [[[716.0, 1942.0], [1351.0, 1924.0], [1353.0, 1992.0], [718.0, 2010.0]], ('Service Charge 10%', 0.9692137837409973)], [[[1508.0, 1997.0], [1716.0, 1988.0], [1719.0, 2063.0], [1511.0, 2072.0]], ('329.00', 0.9958159327507019)], [[[590.0, 2024.0], [1351.0, 2002.0], [1353.0, 2070.0], [592.0, 2092.0]], ('Food Taxable VAT 12.5%', 0.9333937168121338)], [[[1547.0, 2074.0], [1721.0, 2074.0], [1721.0, 2149.0], [1547.0, 2149.0]], ('27.00', 0.9954735636711121)], [[[455.0, 2112.0], [1354.0, 2077.0], [1357.0, 2148.0], [458.0, 2184.0]], ('Beverage Taxable VAT 12.5%', 0.9523584842681885)], [[[1527.0, 2156.0], [1725.0, 2156.0], [1725.0, 2227.0], [1527.0, 2227.0]], ('141.00', 0.9959225654602051)], [[[715.0, 2184.0], [1358.0, 2158.0], [1361.0, 2230.0], [718.0, 2255.0]], ('Service Tax 4.944%', 0.9545423984527588)], [[[1450.0, 2241.0], [1728.0, 2241.0], [1728.0, 2312.0], [1450.0, 2312.0]], ('3,341.00', 0.9597569704055786)], [[[969.0, 2255.0], [1375.0, 2240.0], [1378.0, 2311.0], [972.0, 2326.0]], ('Bill Total :', 0.8974931240081787)], [[[816.0, 2507.0], [1649.0, 2477.0], [1653.0, 2579.0], [820.0, 2609.0]], ('G.Tota1:3,341.00', 0.8985686302185059)], [[[423.0, 2782.0], [732.0, 2770.0], [735.0, 2838.0], [426.0, 2850.0]], ('Thank You !!', 0.9455172419548035)], [[[420.0, 2867.0], [878.0, 2852.0], [881.0, 2920.0], [422.0, 2935.0]], ('TIN NO.07486923648', 0.9756491780281067)], [[[423.0, 2952.0], [972.0, 2934.0], [974.0, 3002.0], [426.0, 3020.0]], ('S.T.NO.AALCA7649DSD001', 0.9365642070770264)]]	{"store_name": "ArtisanalStudioPvt.Ltd.", "store_addr": "LicenseAmanyaHospitality 29,MidanLink,WalkingPlazaKhanMarket", "telephone": ":011-43105777/", "date": "23-May-2015", "time": "14:22", "subtotal": "2,585.00", "tax": "329.00 27.00 141.00", "total": "3,341.00 G.Tatal:3,341.0", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "GUACAMOLETRADICIONAL", "item_value": "350.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BEEFTACO", "item_value": "425.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SHRIMPTOSTADA", "item_value": "375.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LEMONCHIA", "item_value": "195.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TAMARINDWATER", "item_value": "195.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SEABASS", "item_value": "650.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TRESLECHES", "item_value": "395.00", "item_quantity": "1"}, {"item_key": "Description", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[147.0, 0.0], [211.0, 3.0], [210.0, 17.0], [146.0, 14.0]], ('351OAK ST', 0.9485586881637573)], [[[130.0, 13.0], [231.0, 18.0], [230.0, 32.0], [129.0, 26.0]], ('CHICAGO,IL60610', 0.9119555354118347)], [[[138.0, 27.0], [220.0, 31.0], [219.0, 45.0], [137.0, 41.0]], ('3129880662', 0.9922472238540649)], [[[57.0, 44.0], [242.0, 52.0], [242.0, 65.0], [56.0, 58.0]], ('THANK YOU.PLEASE COME AGAIN.', 0.9479471445083618)], [[[142.0, 69.0], [219.0, 72.0], [218.0, 90.0], [141.0, 87.0]], ('ORDER:2', 0.9346497654914856)], [[[149.0, 91.0], [212.0, 93.0], [211.0, 112.0], [148.0, 110.0]], ('DINE IN', 0.9366059303283691)], [[[58.0, 112.0], [130.0, 112.0], [130.0, 126.0], [58.0, 126.0]], ('Cashier:DAY', 0.9465814232826233)], [[[58.0, 126.0], [179.0, 126.0], [179.0, 138.0], [58.0, 138.0]], ('11-Feb-20171:01:24P', 0.9444587826728821)], [[[58.0, 155.0], [67.0, 155.0], [67.0, 164.0], [58.0, 164.0]], ('7', 0.5002590417861938)], [[[80.0, 152.0], [187.0, 151.0], [187.0, 165.0], [80.0, 166.0]], ('Pelmeni Soup Small', 0.9503048658370972)], [[[261.0, 151.0], [293.0, 151.0], [293.0, 165.0], [261.0, 165.0]], ('$4.50', 0.9948976635932922)], [[[59.0, 169.0], [68.0, 169.0], [68.0, 179.0], [59.0, 179.0]], ('7', 0.6467819213867188)], [[[80.0, 167.0], [145.0, 165.0], [145.0, 178.0], [80.0, 180.0]], ('Lentil Small', 0.9645791053771973)], [[[259.0, 163.0], [292.0, 161.0], [293.0, 176.0], [260.0, 178.0]], ('$4.50', 0.9866911768913269)], [[[80.0, 180.0], [153.0, 178.0], [153.0, 192.0], [80.0, 194.0]], ('Goulash Rice', 0.9597808718681335)], [[[255.0, 176.0], [293.0, 176.0], [293.0, 190.0], [255.0, 190.0]], ('$11.00', 0.9966669082641602)], [[[61.0, 197.0], [69.0, 197.0], [69.0, 206.0], [61.0, 206.0]], ('1', 0.9694716930389404)], [[[79.0, 195.0], [151.0, 193.0], [151.0, 206.0], [79.0, 209.0]], ('Lagman Reg', 0.9642868041992188)], [[[255.0, 189.0], [293.0, 189.0], [293.0, 203.0], [255.0, 203.0]], ('$12.00', 0.9958304762840271)], [[[58.0, 222.0], [109.0, 219.0], [110.0, 234.0], [59.0, 236.0]], ('Subtotal', 0.9956416487693787)], [[[255.0, 215.0], [291.0, 212.0], [292.0, 227.0], [256.0, 230.0]], ('$32.00', 0.9967427849769592)], [[[59.0, 235.0], [84.0, 235.0], [84.0, 250.0], [59.0, 250.0]], ('Tax', 0.9789340496063232)], [[[260.0, 228.0], [292.0, 225.0], [293.0, 239.0], [261.0, 242.0]], ('$3.60', 0.9924641847610474)], [[[256.0, 252.0], [292.0, 250.0], [293.0, 265.0], [257.0, 267.0]], ('$35.60', 0.9962803721427917)], [[[60.0, 262.0], [92.0, 262.0], [92.0, 277.0], [60.0, 277.0]], ('Total', 0.9975821375846863)], [[[61.0, 291.0], [187.0, 280.0], [188.0, 294.0], [62.0, 305.0]], ('Order ZPK3R8TFV4BBR', 0.9484273791313171)], [[[61.0, 311.0], [215.0, 298.0], [216.0, 312.0], [62.0, 325.0]], ('online:downtown.jibekjolu.us', 0.9755808711051941)]]	{"store_name": "", "store_addr": "351OAKST CHICAGO,IL60610", "telephone": "(312)9880662", "date": "11-Feb-2017", "time": "1:01:24P", "subtotal": "$32.00", "tax": "$3.60", "total": "$35.60", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PelmeniSoupSmall", "item_value": "$4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "LentilSmall", "item_value": "$4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "GoulashRice", "item_value": "$11.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LagmanReg.", "item_value": "$12.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[87.0, 91.0], [154.0, 91.0], [154.0, 101.0], [87.0, 101.0]], ('PINEAPPLE.NZLLYS', 0.828199028968811)], [[[98.0, 107.0], [149.0, 107.0], [149.0, 118.0], [98.0, 118.0]], ('850-235-1223', 0.8944011330604553)], [[[37.0, 129.0], [84.0, 132.0], [84.0, 144.0], [36.0, 141.0]], ('iable214/1', 0.7793323993682861)], [[[39.0, 124.0], [100.0, 124.0], [100.0, 135.0], [39.0, 135.0]], ('Servera Nelanle', 0.8440031409263611)], [[[166.0, 120.0], [211.0, 123.0], [210.0, 134.0], [166.0, 131.0]], ('04/15/2017', 0.9847835302352905)], [[[36.0, 141.0], [80.0, 141.0], [80.0, 152.0], [36.0, 152.0]], ('usts:12', 0.8001161217689514)], [[[178.0, 132.0], [211.0, 129.0], [212.0, 140.0], [178.0, 143.0]], ('51PR', 0.7027034163475037)], [[[160.0, 148.0], [212.0, 148.0], [212.0, 159.0], [160.0, 159.0]], ('#50046', 0.9794304370880127)], [[[29.0, 182.0], [125.0, 181.0], [126.0, 195.0], [29.0, 196.0]], ('Chicken Tardar Bset', 0.7299328446388245)], [[[27.0, 199.0], [96.0, 201.0], [96.0, 215.0], [27.0, 213.0]], ('Br1led Ship', 0.7148818373680115)], [[[31.0, 193.0], [98.0, 193.0], [98.0, 204.0], [31.0, 204.0]], ('880 Bkcd eans', 0.802898108959198)], [[[192.0, 199.0], [222.0, 199.0], [222.0, 213.0], [192.0, 213.0]], ('20.00', 0.9597633481025696)], [[[198.0, 210.0], [221.0, 210.0], [221.0, 222.0], [198.0, 222.0]], ('0.50', 0.8908860683441162)], [[[24.0, 231.0], [65.0, 231.0], [65.0, 245.0], [24.0, 245.0]], ('Subtotal', 0.923499584197998)], [[[195.0, 229.0], [225.0, 229.0], [225.0, 243.0], [195.0, 243.0]], ('54.50', 0.9737812280654907)], [[[24.0, 243.0], [42.0, 243.0], [42.0, 255.0], [24.0, 255.0]], ('Tax', 0.9770424962043762)], [[[202.0, 241.0], [225.0, 241.0], [225.0, 253.0], [202.0, 253.0]], ('4.30', 0.984211266040802)], [[[21.0, 264.0], [46.0, 264.0], [46.0, 276.0], [21.0, 276.0]], ('Total', 0.9870625734329224)], [[[18.0, 287.0], [130.0, 287.0], [130.0, 300.0], [18.0, 300.0]], ('Balance Due', 0.9561437368392944)], [[[156.0, 286.0], [230.0, 286.0], [230.0, 300.0], [156.0, 300.0]], ('$58.80', 0.9684726595878601)]]	{"store_name": "", "store_addr": "", "telephone": "800-239-1225", "date": "04/15/2017", "time": "1:51PM", "subtotal": "54.50", "tax": "4.30", "total": "58.80 $58.80", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Large", "item_value": "13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Small", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Coleslam", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[140.0, 55.0], [586.0, 59.0], [586.0, 95.0], [139.0, 91.0]], ('Welcome To Popeyes', 0.9569925665855408)], [[[233.0, 120.0], [392.0, 125.0], [391.0, 151.0], [232.0, 146.0]], ('Store #10969', 0.962876558303833)], [[[257.0, 152.0], [502.0, 150.0], [502.0, 179.0], [257.0, 181.0]], ('Sale Number 69894289', 0.9495406150817871)], [[[92.0, 177.0], [163.0, 177.0], [163.0, 207.0], [92.0, 207.0]], ('DRW2', 0.9939939975738525)], [[[365.0, 186.0], [516.0, 179.0], [517.0, 207.0], [366.0, 214.0]], ('Register #2', 0.972541093826294)], [[[93.0, 210.0], [260.0, 215.0], [259.0, 240.0], [92.0, 235.0]], ('*00', 0.8838427066802979)], [[[415.0, 214.0], [527.0, 208.0], [529.0, 237.0], [417.0, 243.0]], ('Emp1 #92', 0.934605598449707)], [[[95.0, 243.0], [296.0, 246.0], [296.0, 272.0], [95.0, 269.0]], ('Mon Nov 142016', 0.9332922697067261)], [[[391.0, 245.0], [529.0, 241.0], [530.0, 268.0], [391.0, 271.0]], ('09:28:13pm', 0.9312862157821655)], [[[171.0, 334.0], [184.0, 345.0], [171.0, 359.0], [158.0, 349.0]], ('1', 0.620711624622345)], [[[197.0, 335.0], [380.0, 335.0], [380.0, 357.0], [197.0, 357.0]], ('16PC SPICY MEAL', 0.9451157450675964)], [[[463.0, 331.0], [529.0, 325.0], [531.0, 353.0], [465.0, 358.0]], ('35.99', 0.9965941309928894)], [[[161.0, 368.0], [202.0, 368.0], [202.0, 386.0], [161.0, 386.0]], ('', 0.8164908289909363)], [[[192.0, 366.0], [357.0, 363.0], [357.0, 386.0], [192.0, 389.0]], ('LG FRENCH FRY', 0.9271865487098694)], [[[160.0, 395.0], [372.0, 393.0], [372.0, 418.0], [160.0, 420.0]], ('LG MSHD POTATO', 0.9331128001213074)], [[[160.0, 424.0], [348.0, 422.0], [348.0, 447.0], [160.0, 449.0]], ('LG RED BEANS', 0.9376106262207031)], [[[162.0, 453.0], [290.0, 453.0], [290.0, 478.0], [162.0, 478.0]], ('MIX16C', 0.9415323138237)], [[[165.0, 485.0], [207.0, 485.0], [207.0, 505.0], [165.0, 505.0]], ('', 0.8076096773147583)], [[[198.0, 483.0], [289.0, 483.0], [289.0, 508.0], [198.0, 508.0]], ('BISCUIT', 0.9971662163734436)], [[[480.0, 507.0], [537.0, 507.0], [537.0, 535.0], [480.0, 535.0]], ('2.97', 0.9929538369178772)], [[[113.0, 518.0], [144.0, 518.0], [144.0, 540.0], [113.0, 540.0]], ('ax', 0.9966810941696167)], [[[101.0, 545.0], [244.0, 543.0], [244.0, 568.0], [101.0, 570.0]], ('Grand Total', 0.9661257266998291)], [[[468.0, 540.0], [535.0, 537.0], [536.0, 563.0], [470.0, 566.0]], ('38.96', 0.9975048303604126)], [[[163.0, 574.0], [301.0, 572.0], [302.0, 598.0], [163.0, 600.0]], ('Credit Card', 0.9770862460136414)], [[[471.0, 567.0], [538.0, 567.0], [538.0, 597.0], [471.0, 597.0]], ('38.96', 0.9889388084411621)], [[[122.0, 697.0], [372.0, 695.0], [372.0, 720.0], [123.0, 722.0]], ('0rder Number:248', 0.925879716873169)], [[[119.0, 762.0], [510.0, 754.0], [510.0, 783.0], [120.0, 791.0]], ('For Restaurant Contact/Comments', 0.9803104400634766)], [[[235.0, 793.0], [388.0, 793.0], [388.0, 818.0], [235.0, 818.0]], ('972-475-5875', 0.9949268698692322)]]	{"store_name": "WelcomeToPopeyes", "store_addr": "", "telephone": "972-475-5875", "date": "MonNoy14,2016", "time": "09:28:13pm", "subtotal": "", "tax": "2.97", "total": "38.96 38.96", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "16PCSPICYMEAL", "item_value": "35.99", "item_quantity": "1"}, {"item_key": "", "item_name": "LGFRENCHFRY", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "LGMSHDPOTATO", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "LGREDBEANS", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MIX16C", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "BISCUIT", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[142.0, 6.0], [249.0, 0.0], [249.0, 14.0], [143.0, 20.0]], ('Litherland.L217PJ', 0.9140240550041199)], [[[159.0, 18.0], [232.0, 14.0], [233.0, 28.0], [160.0, 32.0]], ('01519285637', 0.9935054779052734)], [[[181.0, 32.0], [213.0, 29.0], [214.0, 43.0], [183.0, 46.0]], ('02046', 0.9942390322685242)], [[[152.0, 47.0], [307.0, 38.0], [308.0, 49.0], [153.0, 58.0]], ('', 0.5433790683746338)], [[[136.0, 62.0], [266.0, 53.0], [266.0, 67.0], [137.0, 76.0]], ('RECEIPT CODE', 0.9655564427375793)], [[[116.0, 76.0], [278.0, 66.0], [279.0, 80.0], [117.0, 90.0]], ('020460413184065', 0.994591474533081)], [[[96.0, 90.0], [309.0, 79.0], [310.0, 92.0], [97.0, 103.0]], ('**', 0.5295422673225403)], [[[96.0, 103.0], [153.0, 99.0], [154.0, 113.0], [97.0, 117.0]], ('2018-04-13', 0.9913679361343384)], [[[270.0, 94.0], [315.0, 91.0], [316.0, 105.0], [271.0, 108.0]], ('3:43PM', 0.9064415097236633)], [[[161.0, 114.0], [249.0, 109.0], [249.0, 122.0], [162.0, 127.0]], ('0204652054065', 0.9932029247283936)], [[[99.0, 143.0], [219.0, 137.0], [219.0, 150.0], [100.0, 156.0]], ('Cashier:762525matthew', 0.9447203874588013)], [[[101.0, 156.0], [173.0, 151.0], [174.0, 165.0], [102.0, 170.0]], ('TRANS4065', 0.9927148818969727)], [[[118.0, 180.0], [155.0, 177.0], [156.0, 192.0], [119.0, 194.0]], ('REGML', 0.9552221298217773)], [[[286.0, 172.0], [313.0, 169.0], [315.0, 183.0], [287.0, 186.0]], ('6.19', 0.9933086037635803)], [[[124.0, 192.0], [205.0, 189.0], [205.0, 202.0], [125.0, 205.0]], ('MIGHTY 4 ONE ML', 0.9129855036735535)], [[[126.0, 205.0], [181.0, 202.0], [182.0, 215.0], [127.0, 218.0]], ('RG FRIES#', 0.8545125722885132)], [[[127.0, 216.0], [217.0, 212.0], [217.0, 226.0], [128.0, 230.0]], ('RG LIPTON PEACH', 0.9322925209999084)], [[[111.0, 241.0], [133.0, 241.0], [133.0, 253.0], [111.0, 253.0]], ('VAT', 0.8329656720161438)], [[[289.0, 233.0], [316.0, 233.0], [316.0, 248.0], [289.0, 248.0]], ('1.03', 0.98540198802948)], [[[111.0, 253.0], [165.0, 250.0], [166.0, 264.0], [112.0, 267.0]], ('DRIUE THRU', 0.900372326374054)], [[[285.0, 247.0], [317.0, 245.0], [318.0, 259.0], [286.0, 262.0]], ('6.19', 0.9836521744728088)], [[[112.0, 276.0], [156.0, 276.0], [156.0, 290.0], [112.0, 290.0]], ('CASH GBP', 0.9310940504074097)], [[[287.0, 272.0], [318.0, 272.0], [318.0, 286.0], [287.0, 286.0]], ('6.20', 0.9740824699401855)], [[[114.0, 291.0], [146.0, 291.0], [146.0, 302.0], [114.0, 302.0]], ('Change', 0.9970483183860779)], [[[288.0, 286.0], [316.0, 286.0], [316.0, 297.0], [288.0, 297.0]], ('0.01', 0.9591250419616699)], [[[156.0, 310.0], [266.0, 309.0], [266.0, 323.0], [156.0, 324.0]], ('UAT NUM8ER275640095', 0.8824674487113953)], [[[110.0, 326.0], [318.0, 322.0], [318.0, 335.0], [111.0, 339.0]], ('KENTUCKY FRIED CHICKENCGREAT BRITAIN)LTD', 0.9310202598571777)], [[[108.0, 353.0], [317.0, 351.0], [317.0, 361.0], [109.0, 363.0]], ('*', 0.5717662572860718)], [[[123.0, 364.0], [300.0, 363.0], [300.0, 377.0], [123.0, 378.0]], ('Received an email about a survey?', 0.9192895889282227)], [[[108.0, 378.0], [313.0, 378.0], [313.0, 391.0], [108.0, 391.0]], ("If yau haven't tol low the steps below", 0.8622034192085266)], [[[118.0, 390.0], [315.0, 391.0], [315.0, 405.0], [117.0, 404.0]], ('Complete our survey for 15t off your', 0.8625370860099792)], [[[113.0, 404.0], [310.0, 405.0], [310.0, 419.0], [112.0, 418.0]], ('next purchase (5 min spend required', 0.949216365814209)], [[[111.0, 417.0], [322.0, 420.0], [321.0, 431.0], [110.0, 428.0]], ('', 0.5260528326034546)], [[[111.0, 429.0], [326.0, 433.0], [325.0, 447.0], [110.0, 443.0]], ('1.Visit w.YourkFC.co.uk in next 3 days', 0.9033427834510803)]]	{"store_name": "", "store_addr": "Litherland,L217PJ", "telephone": "01519285637", "date": "2018-04-13", "time": "3:43PM", "subtotal": "", "tax": "1.03", "total": "\u00a36.19", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "REGML", "item_value": "6.19", "item_quantity": "1"}, {"item_key": "", "item_name": "MIGHTY4ONEML", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "RGFRIES##", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "RGLIPTONPEACH##", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[87.0, 75.0], [238.0, 76.0], [238.0, 93.0], [87.0, 92.0]], ('ADISYON', 0.9741262197494507)], [[[118.0, 90.0], [210.0, 95.0], [210.0, 110.0], [117.0, 105.0]], ('SARAY RESTAURANT', 0.9535700678825378)], [[[44.0, 115.0], [216.0, 119.0], [216.0, 133.0], [44.0, 130.0]], ('Tarb 05.10.2014 19:27', 0.8709832429885864)], [[[44.0, 132.0], [142.0, 132.0], [142.0, 145.0], [44.0, 145.0]], ('Adisyn:0077716', 0.8862696290016174)], [[[45.0, 146.0], [106.0, 146.0], [106.0, 157.0], [45.0, 157.0]], ('Masa No:DO1', 0.8732772469520569)], [[[177.0, 147.0], [260.0, 147.0], [260.0, 160.0], [177.0, 160.0]], ('GARSONHASAN', 0.9519563317298889)], [[[41.0, 170.0], [74.0, 173.0], [73.0, 187.0], [40.0, 184.0]], ('CINSI', 0.9872862100601196)], [[[176.0, 176.0], [252.0, 176.0], [252.0, 190.0], [176.0, 190.0]], ('MIKTAR TUTARI', 0.9519057869911194)], [[[38.0, 201.0], [60.0, 201.0], [60.0, 213.0], [38.0, 213.0]], ('199X', 0.8671388030052185)], [[[79.0, 203.0], [105.0, 203.0], [105.0, 214.0], [79.0, 214.0]], ('KUVER', 0.9802201986312866)], [[[185.0, 201.0], [215.0, 203.0], [213.0, 217.0], [184.0, 215.0]], ('3Ad', 0.9614401459693909)], [[[238.0, 203.0], [282.0, 203.0], [282.0, 217.0], [238.0, 217.0]], ('3.00TL', 0.830539882183075)], [[[38.0, 215.0], [60.0, 215.0], [60.0, 227.0], [38.0, 227.0]], ('231X', 0.9456912875175476)], [[[76.0, 214.0], [140.0, 216.0], [140.0, 230.0], [76.0, 228.0]], ('PALAMUT IZGARA', 0.8922242522239685)], [[[186.0, 215.0], [215.0, 217.0], [214.0, 232.0], [185.0, 230.0]], ('1Ad', 0.9364815354347229)], [[[232.0, 216.0], [282.0, 218.0], [281.0, 233.0], [231.0, 231.0]], ('20.00TL', 0.928338348865509)], [[[38.0, 228.0], [55.0, 228.0], [55.0, 241.0], [38.0, 241.0]], ('232', 0.9781562685966492)], [[[76.0, 228.0], [115.0, 230.0], [114.0, 244.0], [76.0, 242.0]], ('CINEXOP', 0.8906992673873901)], [[[186.0, 228.0], [215.0, 230.0], [214.0, 244.0], [185.0, 242.0]], ('1Ad', 0.9783390164375305)], [[[232.0, 232.0], [281.0, 232.0], [281.0, 246.0], [232.0, 246.0]], ('30,00TL', 0.9003270864486694)], [[[36.0, 243.0], [54.0, 243.0], [54.0, 255.0], [36.0, 255.0]], ('321', 0.9951419830322266)], [[[74.0, 242.0], [152.0, 245.0], [151.0, 259.0], [74.0, 256.0]], ('PATLICAN SALATASI', 0.9577330350875854)], [[[188.0, 244.0], [213.0, 244.0], [213.0, 256.0], [188.0, 256.0]], ('1Ad', 0.875188410282135)], [[[237.0, 244.0], [282.0, 246.0], [281.0, 261.0], [236.0, 259.0]], ('9.00TL', 0.9256343245506287)], [[[35.0, 256.0], [52.0, 256.0], [52.0, 269.0], [35.0, 269.0]], ('605', 0.9889524579048157)], [[[75.0, 258.0], [96.0, 258.0], [96.0, 270.0], [75.0, 270.0]], ('SODA', 0.9947558641433716)], [[[187.0, 258.0], [214.0, 258.0], [214.0, 271.0], [187.0, 271.0]], ('1Ad', 0.8740389347076416)], [[[239.0, 258.0], [282.0, 262.0], [281.0, 277.0], [238.0, 273.0]], ('2,00TL', 0.9200356602668762)], [[[34.0, 270.0], [51.0, 270.0], [51.0, 283.0], [34.0, 283.0]], ('606', 0.7900314927101135)], [[[74.0, 272.0], [98.0, 272.0], [98.0, 284.0], [74.0, 284.0]], ('SASAL', 0.9664567112922668)], [[[186.0, 271.0], [214.0, 271.0], [214.0, 286.0], [186.0, 286.0]], ('1Ad', 0.9392393231391907)], [[[239.0, 272.0], [283.0, 276.0], [282.0, 291.0], [238.0, 287.0]], ('3,00TL', 0.8801794052124023)], [[[34.0, 285.0], [53.0, 285.0], [53.0, 297.0], [34.0, 297.0]], ('7072', 0.9911453723907471)], [[[72.0, 285.0], [102.0, 285.0], [102.0, 299.0], [72.0, 299.0]], ('SALATA', 0.9967873096466064)], [[[187.0, 287.0], [214.0, 287.0], [214.0, 300.0], [187.0, 300.0]], ('1Ad', 0.9223954081535339)], [[[236.0, 286.0], [284.0, 290.0], [283.0, 305.0], [235.0, 301.0]], ('13.00TL', 0.8776888847351074)], [[[31.0, 299.0], [48.0, 299.0], [48.0, 312.0], [31.0, 312.0]], ('802', 0.9680182337760925)], [[[70.0, 299.0], [144.0, 300.0], [144.0, 314.0], [70.0, 313.0]], ('20LK YENI RAKI', 0.8728380799293518)], [[[186.0, 300.0], [214.0, 300.0], [214.0, 315.0], [186.0, 315.0]], ('1Ad', 0.9677393436431885)], [[[235.0, 301.0], [283.0, 304.0], [283.0, 318.0], [234.0, 315.0]], ('40.00TL', 0.9109025001525879)], [[[28.0, 312.0], [47.0, 315.0], [45.0, 328.0], [26.0, 325.0]], ('935', 0.9625503420829773)], [[[68.0, 314.0], [143.0, 317.0], [143.0, 330.0], [68.0, 327.0]], ('MIDYE DOLMA TANE', 0.9152293801307678)], [[[184.0, 315.0], [214.0, 315.0], [214.0, 331.0], [184.0, 331.0]], ('P48', 0.5431925058364868)], [[[236.0, 316.0], [285.0, 319.0], [285.0, 334.0], [235.0, 331.0]], ('10.00TL', 0.9490677714347839)], [[[64.0, 343.0], [147.0, 347.0], [147.0, 361.0], [63.0, 357.0]], ('TOPLAM:', 0.9608350396156311)], [[[162.0, 346.0], [238.0, 349.0], [238.0, 363.0], [161.0, 360.0]], ('130.00', 0.9453518390655518)], [[[248.0, 351.0], [272.0, 351.0], [272.0, 363.0], [248.0, 363.0]], ('TL', 0.9668304324150085)], [[[23.0, 371.0], [112.0, 376.0], [111.0, 390.0], [23.0, 386.0]], ('Mall degerl yoktur.', 0.8610772490501404)], [[[24.0, 387.0], [100.0, 390.0], [100.0, 403.0], [24.0, 400.0]], ('Tegekkur ederiz.', 0.8470495939254761)]]	{"store_name": "SARAYRESTAURANT ADISYON", "store_addr": "", "telephone": "", "date": "05.10.2014", "time": "19:27", "subtotal": "", "tax": "", "total": "130,00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CIMEKOP", "item_value": "3,00", "item_quantity": "1"}, {"item_key": "", "item_name": "PATLICANSALATASI", "item_value": "20,00", "item_quantity": "1"}, {"item_key": "", "item_name": "SODA", "item_value": "30,00", "item_quantity": "1"}, {"item_key": "", "item_name": "SASAL", "item_value": "9,00", "item_quantity": "1"}, {"item_key": "", "item_name": "SALATA", "item_value": "2,00", "item_quantity": "1"}, {"item_key": "", "item_name": "20LIKYENIRAKI", "item_value": "3,00", "item_quantity": "1"}, {"item_key": "", "item_name": "MIDYEDOLMATANE", "item_value": "13,00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "40,00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "10,00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[55.0, 33.0], [346.0, 28.0], [346.0, 51.0], [55.0, 56.0]], ('YOUR RECEIPT', 0.9548229575157166)], [[[93.0, 55.0], [316.0, 56.0], [316.0, 74.0], [93.0, 73.0]], ('360 N.Fairfax Ave', 0.9202590584754944)], [[[108.0, 78.0], [266.0, 78.0], [266.0, 95.0], [108.0, 95.0]], ('323651-2080', 0.9884884357452393)], [[[95.0, 100.0], [338.0, 100.0], [338.0, 117.0], [95.0, 117.0]], ('COUNCIL THRIFT SHOPS', 0.9448973536491394)], [[[93.0, 142.0], [342.0, 140.0], [342.0, 160.0], [93.0, 162.0]], ('www.NCUWLA.org', 0.8747936487197876)], [[[96.0, 164.0], [315.0, 159.0], [315.0, 179.0], [96.0, 184.0]], ('THANKYOLI', 0.9359984993934631)], [[[91.0, 184.0], [306.0, 180.0], [306.0, 201.0], [91.0, 205.0]], ('Please Come Again', 0.95957350730896)], [[[59.0, 227.0], [357.0, 221.0], [357.0, 241.0], [59.0, 247.0]], ('REG105-27-201703:03 PM', 0.9579648971557617)], [[[215.0, 245.0], [356.0, 242.0], [356.0, 262.0], [215.0, 265.0]], ('0601000075', 0.9953863024711609)], [[[289.0, 265.0], [347.0, 265.0], [347.0, 287.0], [289.0, 287.0]], ('CT', 0.9699305295944214)], [[[342.0, 268.0], [356.0, 268.0], [356.0, 284.0], [342.0, 284.0]], ('1', 0.9334087371826172)], [[[71.0, 312.0], [217.0, 312.0], [217.0, 329.0], [71.0, 329.0]], ('1Al Oth Tx', 0.8124639391899109)], [[[292.0, 311.0], [357.0, 311.0], [357.0, 329.0], [292.0, 329.0]], ('$7.00', 0.9974676370620728)], [[[71.0, 334.0], [218.0, 334.0], [218.0, 351.0], [71.0, 351.0]], ('1AllOth Tx', 0.7645388841629028)], [[[293.0, 332.0], [357.0, 332.0], [357.0, 350.0], [293.0, 350.0]], ('$7.00', 0.9961572885513306)], [[[72.0, 356.0], [218.0, 356.0], [218.0, 373.0], [72.0, 373.0]], ('1All0thTx', 0.8108183741569519)], [[[280.0, 353.0], [357.0, 353.0], [357.0, 374.0], [280.0, 374.0]], ('$12.00', 0.9982560276985168)], [[[71.0, 377.0], [219.0, 378.0], [219.0, 396.0], [71.0, 395.0]], ('1All 0th ix', 0.7577674388885498)], [[[292.0, 375.0], [357.0, 375.0], [357.0, 396.0], [292.0, 396.0]], ('$3.00', 0.997491180896759)], [[[218.0, 396.0], [270.0, 399.0], [269.0, 418.0], [217.0, 415.0]], ('4 No', 0.8408738374710083)], [[[95.0, 418.0], [180.0, 420.0], [180.0, 438.0], [95.0, 436.0]], ('TxbIPur', 0.9209505915641785)], [[[280.0, 420.0], [355.0, 418.0], [355.0, 436.0], [280.0, 438.0]], ('$29.00', 0.9963345527648926)], [[[95.0, 438.0], [146.0, 440.0], [145.0, 459.0], [94.0, 457.0]], ('StTx', 0.9561014175415039)], [[[292.0, 440.0], [353.0, 437.0], [354.0, 455.0], [293.0, 458.0]], ('$2.54', 0.9967710375785828)], [[[96.0, 458.0], [159.0, 461.0], [158.0, 482.0], [95.0, 479.0]], ('Totai', 0.9535709619522095)], [[[205.0, 461.0], [351.0, 455.0], [352.0, 475.0], [206.0, 481.0]], ('$31.54', 0.9558464884757996)], [[[98.0, 482.0], [196.0, 482.0], [196.0, 499.0], [98.0, 499.0]], ('Crdt/ATM', 0.9900792837142944)], [[[279.0, 478.0], [352.0, 474.0], [353.0, 492.0], [280.0, 496.0]], ('$31.54', 0.9980881810188293)], [[[100.0, 518.0], [329.0, 516.0], [329.0, 535.0], [100.0, 537.0]], ('*RETURN POLICY*', 0.9205313324928284)], [[[75.0, 539.0], [355.0, 536.0], [355.0, 560.0], [75.0, 563.0]], ('Appare1:3days:Crdt ONLY', 0.8965329527854919)], [[[101.0, 561.0], [306.0, 557.0], [306.0, 578.0], [101.0, 582.0]], ('SAME STORE ONLY', 0.9532627463340759)], [[[99.0, 581.0], [319.0, 577.0], [319.0, 601.0], [99.0, 605.0]], ('AII Oth:FINAL SALE', 0.8563718795776367)]]	{"store_name": "COUNCILTHRIFTSHOPS", "store_addr": "360N.FairfaxAve", "telephone": "(323)651-2080", "date": "05-27-2017", "time": "03:03PM", "subtotal": "$29.00", "tax": "$2.54", "total": "$31.54 $31.54", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "AllOthTx", "item_value": "$7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AllOthTx", "item_value": "$7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AllOthTx", "item_value": "$12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AllOthTx", "item_value": "$3.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[96.0, 64.0], [214.0, 64.0], [214.0, 89.0], [96.0, 89.0]], ('DisNEpPARKS', 0.7855170965194702)], [[[111.0, 89.0], [201.0, 89.0], [201.0, 103.0], [111.0, 103.0]], ('Show Your Disney Side', 0.9287768602371216)], [[[178.0, 150.0], [248.0, 148.0], [248.0, 159.0], [178.0, 161.0]], ('TABLENUMBER:41', 0.8200877904891968)], [[[184.0, 158.0], [249.0, 158.0], [249.0, 168.0], [184.0, 168.0]], ('GUESTCOUNT4', 0.8580966591835022)], [[[83.0, 196.0], [205.0, 196.0], [205.0, 209.0], [83.0, 209.0]], ('x Stored Orderxxxx', 0.7543687224388123)], [[[91.0, 214.0], [143.0, 214.0], [143.0, 225.0], [91.0, 225.0]], ('Acuft Dinner', 0.8105409145355225)], [[[208.0, 212.0], [238.0, 212.0], [238.0, 226.0], [208.0, 226.0]], ('144.00', 0.9500097632408142)], [[[90.0, 224.0], [133.0, 224.0], [133.0, 234.0], [90.0, 234.0]], ('KMDinner', 0.8573054075241089)], [[[212.0, 222.0], [238.0, 222.0], [238.0, 233.0], [212.0, 233.0]], ('29.00', 0.9774208068847656)], [[[90.0, 240.0], [127.0, 240.0], [127.0, 251.0], [90.0, 251.0]], ('S.STOTAL', 0.9311850070953369)], [[[209.0, 238.0], [239.0, 238.0], [239.0, 252.0], [209.0, 252.0]], ('173.00', 0.9867372512817383)], [[[91.0, 251.0], [109.0, 251.0], [109.0, 258.0], [91.0, 258.0]], ('TAX.', 0.8295167684555054)], [[[210.0, 254.0], [239.0, 256.0], [238.0, 268.0], [209.0, 266.0]], ('184.25', 0.972367525100708)], [[[212.0, 247.0], [239.0, 247.0], [239.0, 260.0], [212.0, 260.0]], ('11.25', 0.9779374003410339)], [[[88.0, 257.0], [137.0, 255.0], [138.0, 269.0], [89.0, 271.0]], ('AMOUNT DUE', 0.8715292811393738)], [[[52.0, 275.0], [115.0, 273.0], [115.0, 286.0], [52.0, 288.0]], ('Suggested Tlp', 0.8567542433738708)], [[[53.0, 286.0], [102.0, 286.0], [102.0, 297.0], [53.0, 297.0]], ('Percentage.', 0.8968627452850342)], [[[89.0, 291.0], [105.0, 294.0], [103.0, 306.0], [87.0, 303.0]], ('16%', 0.8729487061500549)], [[[234.0, 282.0], [254.0, 282.0], [254.0, 296.0], [234.0, 296.0]], ('T1p', 0.7390452027320862)], [[[228.0, 299.0], [254.0, 302.0], [253.0, 314.0], [227.0, 311.0]], ('34.60', 0.9767102003097534)], [[[229.0, 292.0], [254.0, 292.0], [254.0, 303.0], [229.0, 303.0]], ('31.14', 0.9489137530326843)], [[[88.0, 302.0], [105.0, 302.0], [105.0, 314.0], [88.0, 314.0]], ('20%', 0.9301092028617859)], [[[68.0, 329.0], [90.0, 329.0], [90.0, 345.0], [68.0, 345.0]], ('Tip:', 0.9079716801643372)], [[[158.0, 321.0], [203.0, 321.0], [203.0, 345.0], [158.0, 345.0]], ('18%', 0.8583417534828186)], [[[79.0, 348.0], [223.0, 348.0], [223.0, 362.0], [79.0, 362.0]], ('Not included with Dining Plan', 0.916313886642456)], [[[67.0, 378.0], [98.0, 378.0], [98.0, 392.0], [67.0, 392.0]], ('Total:', 0.9475874900817871)], [[[151.0, 370.0], [221.0, 370.0], [221.0, 391.0], [151.0, 391.0]], ('215-39', 0.8903278708457947)], [[[113.0, 397.0], [197.0, 397.0], [197.0, 411.0], [113.0, 411.0]], ('PLEASE PAY SERVER', 0.9184591770172119)], [[[84.0, 417.0], [218.0, 417.0], [218.0, 430.0], [84.0, 430.0]], ('Gattes and tips must be', 0.9148478507995605)], [[[71.0, 428.0], [231.0, 427.0], [231.0, 440.0], [71.0, 441.0]], ('pald sparately fron dining plans', 0.8964683413505554)]]	{"store_name": "DISNEPPARKS ChefMlckey\u00b4s", "store_addr": "LakeBuonaVista.FL32830", "telephone": "", "date": "", "time": "", "subtotal": "173.00", "tax": "11.25", "total": "184.25", "ignore": " ", "tips": "31.14 34.60", "line_items": [{"item_key": "", "item_name": "AouitOlnner", "item_value": "144.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KMDinner", "item_value": "29.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[177.0, 2.0], [251.0, 4.0], [250.0, 23.0], [177.0, 20.0]], ('Table46/1', 0.98491370677948)], [[[424.0, 10.0], [479.0, 10.0], [479.0, 29.0], [424.0, 29.0]], ('5:08PM', 0.9288797974586487)], [[[177.0, 22.0], [245.0, 22.0], [245.0, 40.0], [177.0, 40.0]], ('Guests:3', 0.9655397534370422)], [[[178.0, 38.0], [306.0, 42.0], [305.0, 59.0], [178.0, 55.0]], ('Area: EB Stage Bar', 0.9082276821136475)], [[[440.0, 30.0], [478.0, 30.0], [478.0, 45.0], [440.0, 45.0]], ('60113', 0.9976130723953247)], [[[174.0, 72.0], [376.0, 78.0], [376.0, 95.0], [174.0, 90.0]], ('Zubrowka Apple Pie 3 @6.50', 0.9463929533958435)], [[[173.0, 89.0], [326.0, 94.0], [325.0, 112.0], [173.0, 106.0]], ('FeverTree ElderFlower', 0.9590858221054077)], [[[440.0, 80.0], [479.0, 80.0], [479.0, 98.0], [440.0, 98.0]], ('19.50', 0.9960757493972778)], [[[171.0, 106.0], [318.0, 112.0], [317.0, 128.0], [171.0, 122.0]], ('Ox Chi11i 2 @12.00', 0.8909533023834229)], [[[446.0, 98.0], [479.0, 98.0], [479.0, 115.0], [446.0, 115.0]], ('1.50', 0.9943922758102417)], [[[171.0, 122.0], [296.0, 128.0], [295.0, 145.0], [171.0, 140.0]], ('Chicken Schnitzel', 0.9655699729919434)], [[[439.0, 114.0], [479.0, 114.0], [479.0, 133.0], [439.0, 133.0]], ('24.00', 0.9960098266601562)], [[[171.0, 141.0], [276.0, 146.0], [276.0, 164.0], [170.0, 158.0]], ('Chicken Burger', 0.979038417339325)], [[[440.0, 132.0], [479.0, 132.0], [479.0, 150.0], [440.0, 150.0]], ('12.00', 0.9924525022506714)], [[[440.0, 149.0], [479.0, 149.0], [479.0, 168.0], [440.0, 168.0]], ('10.00', 0.9961903691291809)], [[[183.0, 159.0], [318.0, 164.0], [317.0, 181.0], [183.0, 177.0]], ('Sweet Potato Fries', 0.9552276134490967)], [[[168.0, 175.0], [345.0, 182.0], [344.0, 200.0], [168.0, 194.0]], ('PU Onion Rings 2 @4.00', 0.9158790111541748)], [[[447.0, 169.0], [480.0, 169.0], [480.0, 186.0], [447.0, 186.0]], ('1.50', 0.9952399730682373)], [[[166.0, 194.0], [238.0, 197.0], [237.0, 215.0], [166.0, 211.0]], ('Bratwurst', 0.9946200251579285)], [[[447.0, 186.0], [480.0, 186.0], [480.0, 203.0], [447.0, 203.0]], ('8.00', 0.9971753358840942)], [[[440.0, 200.0], [482.0, 203.0], [481.0, 221.0], [439.0, 218.0]], ('11.00', 0.9960113763809204)], [[[168.0, 212.0], [209.0, 215.0], [208.0, 230.0], [167.0, 227.0]], ('Chips', 0.9964605569839478)], [[[445.0, 217.0], [482.0, 220.0], [480.0, 239.0], [444.0, 237.0]], ('3.50', 0.9960112571716309)], [[[164.0, 230.0], [397.0, 236.0], [396.0, 253.0], [164.0, 247.0]], ('Da Luca Prosecco<Bt>3 @23.00)', 0.9170390963554382)], [[[440.0, 238.0], [481.0, 238.0], [481.0, 256.0], [440.0, 256.0]], ('69.00', 0.9959675073623657)], [[[165.0, 248.0], [236.0, 250.0], [235.0, 268.0], [165.0, 265.0]], ('Lucky Dip', 0.9447565078735352)], [[[440.0, 256.0], [482.0, 256.0], [482.0, 275.0], [440.0, 275.0]], ('17.00', 0.9959827661514282)], [[[171.0, 266.0], [302.0, 271.0], [301.0, 288.0], [171.0, 284.0]], ('Trio of Ice Cream', 0.940061628818512)], [[[170.0, 285.0], [286.0, 288.0], [286.0, 306.0], [170.0, 302.0]], ('Rhubarb Crumble', 0.9653254151344299)], [[[168.0, 303.0], [248.0, 307.0], [247.0, 325.0], [168.0, 321.0]], ('Cheesecake', 0.9952379465103149)], [[[160.0, 323.0], [239.0, 326.0], [238.0, 344.0], [160.0, 341.0]], ('Cheesecake', 0.9951615333557129)], [[[448.0, 330.0], [485.0, 332.0], [483.0, 352.0], [447.0, 349.0]], ('6.00', 0.988315999507904)], [[[159.0, 360.0], [300.0, 366.0], [299.0, 383.0], [159.0, 378.0]], ('Complimentary Item', 0.9531699419021606)], [[[436.0, 369.0], [484.0, 369.0], [484.0, 388.0], [436.0, 388.0]], ('-23.00', 0.9826216697692871)], [[[173.0, 381.0], [367.0, 386.0], [367.0, 404.0], [173.0, 398.0]], ('Name:PAIN IN THE ASS WOM', 0.9245705008506775)], [[[157.0, 418.0], [197.0, 418.0], [197.0, 437.0], [157.0, 437.0]], ('Total', 0.9632013440132141)], [[[435.0, 425.0], [484.0, 427.0], [483.0, 447.0], [434.0, 444.0]], ('160.00', 0.9899366497993469)], [[[155.0, 455.0], [279.0, 461.0], [279.0, 478.0], [155.0, 473.0]], ('Deposit #XXXTYKJ', 0.9267802238464355)], [[[155.0, 474.0], [326.0, 482.0], [325.0, 501.0], [154.0, 492.0]], ('Balance Due', 0.9428154230117798)], [[[440.0, 466.0], [482.0, 466.0], [482.0, 484.0], [440.0, 484.0]], ('63.00', 0.9940557479858398)], [[[402.0, 483.0], [482.0, 486.0], [481.0, 505.0], [401.0, 501.0]], ('97.00', 0.9985955953598022)], [[[239.0, 514.0], [396.0, 520.0], [395.0, 537.0], [238.0, 531.0]], ('VATNo252272718', 0.963647723197937)], [[[260.0, 531.0], [364.0, 535.0], [364.0, 551.0], [260.0, 546.0]], ('0131 2269560', 0.9528605937957764)], [[[238.0, 546.0], [385.0, 551.0], [384.0, 564.0], [238.0, 560.0]], ('www.brewhemia.co.uk', 0.9826984405517578)], [[[218.0, 556.0], [412.0, 563.0], [411.0, 577.0], [217.0, 571.0]], ('For The Love Of Adventure', 0.9512720704078674)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "5:08PM", "subtotal": "", "tax": "", "total": "160.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ZubrowkaApplePie([email protected])", "item_value": "19.50", "item_quantity": "1"}, {"item_key": "", "item_name": "FeverTreeElderFlower", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "0xChilli([email protected])", "item_value": "24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenSchnitzel", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenBurger", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SweetPotatoFries", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "PUOnionRings([email protected])", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Bratwurst", "item_value": "11.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Chips", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "DaLucaProsecco<Bt>([email protected])", "item_value": "69.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LuckyDip", "item_value": "17.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TrioofIceCream", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RhubarbCrumble", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Cheesecake", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Cheesecake", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[111.0, 121.0], [322.0, 99.0], [324.0, 117.0], [113.0, 139.0]], ('JAVA HOUSE CAFE', 0.9487972855567932)], [[[112.0, 141.0], [351.0, 114.0], [353.0, 132.0], [114.0, 159.0]], ('613VICTORIAAVE', 0.950412929058075)], [[[114.0, 160.0], [245.0, 145.0], [247.0, 164.0], [116.0, 179.0]], ('DEVONPORT', 0.9878467917442322)], [[[209.0, 190.0], [309.0, 176.0], [312.0, 193.0], [212.0, 207.0]], ('-EFTPOS', 0.9851638674736023)], [[[295.0, 198.0], [398.0, 183.0], [401.0, 200.0], [298.0, 215.0]], ('76495301', 0.9873284101486206)], [[[123.0, 222.0], [235.0, 206.0], [238.0, 223.0], [126.0, 239.0]], ('TERMINAL', 0.9945165514945984)], [[[253.0, 222.0], [410.0, 199.0], [413.0, 219.0], [256.0, 242.0]], ('11N0V11:11', 0.8320096135139465)], [[[326.0, 231.0], [406.0, 220.0], [409.0, 237.0], [329.0, 248.0]], ('SAVING', 0.9185881614685059)], [[[125.0, 241.0], [184.0, 232.0], [187.0, 250.0], [128.0, 259.0]], ('TIME', 0.9961273074150085)], [[[200.0, 250.0], [284.0, 237.0], [287.0, 254.0], [203.0, 267.0]], ('013227', 0.9922983050346375)], [[[354.0, 245.0], [407.0, 238.0], [410.0, 256.0], [357.0, 263.0]], ('7335', 0.9974051713943481)], [[[128.0, 260.0], [207.0, 249.0], [209.0, 267.0], [131.0, 278.0]], ('TRAN', 0.9822399020195007)], [[[304.0, 272.0], [363.0, 264.0], [365.0, 281.0], [306.0, 289.0]], ('NZ', 0.872157096862793)], [[[354.0, 264.0], [409.0, 256.0], [412.0, 273.0], [357.0, 281.0]], ('3.50', 0.9935441017150879)], [[[133.0, 279.0], [190.0, 270.0], [193.0, 288.0], [136.0, 297.0]], ('CARD', 0.9690584540367126)], [[[135.0, 298.0], [248.0, 281.0], [251.0, 299.0], [138.0, 316.0]], ('PURCHASE', 0.996087908744812)], [[[305.0, 289.0], [412.0, 272.0], [415.0, 292.0], [308.0, 309.0]], ('NZ3.50', 0.9652124047279358)], [[[139.0, 315.0], [211.0, 307.0], [213.0, 326.0], [141.0, 334.0]], ('TOTAL', 0.9979848861694336)], [[[228.0, 320.0], [335.0, 304.0], [338.0, 322.0], [231.0, 338.0]], ('ACCEPTED', 0.9926924705505371)], [[[389.0, 311.0], [416.0, 311.0], [416.0, 326.0], [389.0, 326.0]], ('-*', 0.8202139139175415)], [[[339.0, 338.0], [416.0, 326.0], [419.0, 343.0], [342.0, 355.0]], ('012894', 0.9926781058311462)], [[[150.0, 369.0], [301.0, 344.0], [304.0, 361.0], [153.0, 386.0]], ('INUOICE NUM', 0.8822610378265381)], [[[299.0, 361.0], [366.0, 351.0], [369.0, 368.0], [302.0, 378.0]], ('COPY', 0.9892062544822693)], [[[193.0, 378.0], [303.0, 361.0], [306.0, 378.0], [196.0, 395.0]], ('CUSTOMER', 0.9960577487945557)]]	{"store_name": "JAVAHOUSECAFE", "store_addr": "DEVONPORT 6/13VICTORIAAVE", "telephone": "", "date": "11NOV", "time": "11:11", "subtotal": "", "tax": "", "total": "3.50 3.50", "ignore": "", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[82.0, 0.0], [202.0, 1.0], [202.0, 14.0], [82.0, 12.0]], ('Ena1 51ftyForko#gna51.cos', 0.7667205333709717)], [[[60.0, 27.0], [118.0, 29.0], [117.0, 42.0], [59.0, 39.0]], ('1010LEEYAL', 0.9623180627822876)], [[[55.0, 46.0], [91.0, 49.0], [90.0, 63.0], [54.0, 60.0]], ('Tb17/1', 0.75319504737854)], [[[125.0, 48.0], [170.0, 51.0], [170.0, 65.0], [124.0, 62.0]], ('k1359', 0.862880527973175)], [[[108.0, 60.0], [182.0, 63.0], [182.0, 74.0], [108.0, 71.0]], ('Mar.1116.07:18PM', 0.8430520296096802)], [[[202.0, 52.0], [233.0, 52.0], [233.0, 66.0], [202.0, 66.0]], ('Gst2', 0.7646989226341248)], [[[76.0, 69.0], [212.0, 72.0], [211.0, 86.0], [76.0, 83.0]], ('***DEONSTRATOHOE', 0.680762767791748)], [[[72.0, 92.0], [139.0, 94.0], [138.0, 105.0], [72.0, 103.0]], ('Dine In', 0.9329533576965332)], [[[63.0, 102.0], [145.0, 103.0], [145.0, 114.0], [63.0, 113.0]], ('3 ', 0.7923879623413086)], [[[64.0, 114.0], [120.0, 114.0], [120.0, 125.0], [64.0, 125.0]], ('1FLATBREAD', 0.977774977684021)], [[[199.0, 105.0], [221.0, 105.0], [221.0, 117.0], [199.0, 117.0]], ('0.00', 0.8702971935272217)], [[[199.0, 115.0], [220.0, 115.0], [220.0, 127.0], [199.0, 127.0]], ('6.00', 0.9923825263977051)], [[[64.0, 125.0], [112.0, 125.0], [112.0, 135.0], [64.0, 135.0]], ('1OCTOPUS', 0.8358100652694702)], [[[199.0, 124.0], [221.0, 127.0], [219.0, 139.0], [197.0, 136.0]], ('6.00', 0.9128259420394897)], [[[63.0, 144.0], [111.0, 146.0], [110.0, 158.0], [62.0, 156.0]], ('1.TRI11P', 0.7748817801475525)], [[[64.0, 135.0], [133.0, 135.0], [133.0, 146.0], [64.0, 146.0]], ('1STRIPED-BASS', 0.9312055110931396)], [[[196.0, 136.0], [221.0, 136.0], [221.0, 148.0], [196.0, 148.0]], ('10.00', 0.9860652089118958)], [[[197.0, 147.0], [221.0, 147.0], [221.0, 158.0], [197.0, 158.0]], ('10.00', 0.9890512228012085)], [[[62.0, 157.0], [128.0, 157.0], [128.0, 168.0], [62.0, 168.0]], ('1PANNA COTTA', 0.9227355122566223)], [[[200.0, 158.0], [221.0, 158.0], [221.0, 169.0], [200.0, 169.0]], ('4.00', 0.9748257398605347)], [[[59.0, 177.0], [122.0, 179.0], [121.0, 192.0], [58.0, 190.0]], ('2 Pe1legr1no', 0.8347496390342712)], [[[62.0, 168.0], [129.0, 168.0], [129.0, 179.0], [62.0, 179.0]], ('1CARROT CAKE', 0.934352695941925)], [[[200.0, 168.0], [221.0, 168.0], [221.0, 180.0], [200.0, 180.0]], ('4.00', 0.9852423071861267)], [[[200.0, 179.0], [221.0, 179.0], [221.0, 191.0], [200.0, 191.0]], ('4.00', 0.9806656837463379)], [[[69.0, 200.0], [110.0, 200.0], [110.0, 214.0], [69.0, 214.0]], ('SUBTOTAL', 0.9767382144927979)], [[[197.0, 201.0], [222.0, 201.0], [222.0, 212.0], [197.0, 212.0]], ('44.00', 0.9915591478347778)], [[[68.0, 212.0], [87.0, 212.0], [87.0, 223.0], [68.0, 223.0]], ('TAX', 0.9938960671424866)], [[[200.0, 212.0], [221.0, 212.0], [221.0, 223.0], [200.0, 223.0]], ('3.52', 0.9575654864311218)], [[[48.0, 222.0], [133.0, 221.0], [134.0, 235.0], [49.0, 236.0]], ('0825PHTOTAL DUE', 0.883614718914032)], [[[177.0, 223.0], [221.0, 223.0], [221.0, 234.0], [177.0, 234.0]], ('47.52', 0.9933223724365234)], [[[67.0, 246.0], [207.0, 246.0], [207.0, 259.0], [67.0, 259.0]], ('Thank you for.dining with us', 0.9236994385719299)], [[[66.0, 258.0], [214.0, 256.0], [215.0, 269.0], [66.0, 271.0]], ('Al1 gratuit ies will berefit the', 0.8365151882171631)], [[[65.0, 270.0], [216.0, 268.0], [217.0, 281.0], [65.0, 283.0]], ('AICAC Culinary Scholarship Fund.', 0.913885235786438)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "Mar11'16", "time": "08:25PM", "subtotal": "44.00", "tax": "3.52", "total": "47.52", "ignore": " ", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[183.0, 50.0], [305.0, 57.0], [304.0, 75.0], [182.0, 68.0]], ('Cornerstone Cafe', 0.9809332489967346)], [[[202.0, 68.0], [290.0, 74.0], [289.0, 93.0], [201.0, 88.0]], ('17 Avenue B', 0.9504381418228149)], [[[175.0, 88.0], [313.0, 93.0], [312.0, 110.0], [174.0, 105.0]], ('New York,NY 10009', 0.9028946161270142)], [[[199.0, 107.0], [292.0, 110.0], [291.0, 127.0], [198.0, 124.0]], ('212.228.1260', 0.9858145117759705)], [[[81.0, 141.0], [183.0, 145.0], [182.0, 163.0], [80.0, 159.0]], ('Check#6178', 0.9810873866081238)], [[[341.0, 150.0], [397.0, 147.0], [398.0, 165.0], [342.0, 168.0]], ('8/16/17', 0.9962953925132751)], [[[80.0, 160.0], [176.0, 165.0], [175.0, 182.0], [79.0, 178.0]], ('Server:Rub1', 0.9106394052505493)], [[[337.0, 166.0], [399.0, 165.0], [399.0, 183.0], [338.0, 184.0]], ('11:04 AM', 0.9020830988883972)], [[[81.0, 179.0], [222.0, 184.0], [222.0, 201.0], [80.0, 196.0]], ('TO GO:Ching Chong', 0.8669957518577576)], [[[79.0, 196.0], [284.0, 203.0], [283.0, 223.0], [78.0, 216.0]], ('Customer Name: Ching Chong', 0.9435145854949951)], [[[180.0, 257.0], [314.0, 256.0], [315.0, 273.0], [180.0, 274.0]], ('==2nd Course ==', 0.8771762251853943)], [[[81.0, 293.0], [194.0, 296.0], [193.0, 313.0], [80.0, 310.0]], ('1 Steak & Eggs', 0.89860600233078)], [[[366.0, 290.0], [406.0, 290.0], [406.0, 309.0], [366.0, 309.0]], ('16.00', 0.9961625933647156)], [[[81.0, 331.0], [154.0, 331.0], [154.0, 348.0], [81.0, 348.0]], ('Sub-total', 0.9603007435798645)], [[[368.0, 327.0], [407.0, 327.0], [407.0, 345.0], [368.0, 345.0]], ('16.00', 0.9945322275161743)], [[[81.0, 350.0], [155.0, 350.0], [155.0, 368.0], [81.0, 368.0]], ('Sa les Tax', 0.9077216982841492)], [[[374.0, 345.0], [408.0, 345.0], [408.0, 364.0], [374.0, 364.0]], ('1.42', 0.9896742105484009)], [[[81.0, 369.0], [125.0, 369.0], [125.0, 388.0], [81.0, 388.0]], ('TOTAL', 0.9977008700370789)], [[[369.0, 364.0], [408.0, 364.0], [408.0, 383.0], [369.0, 383.0]], ('17.42', 0.9948920011520386)], [[[79.0, 405.0], [147.0, 403.0], [148.0, 424.0], [80.0, 426.0]], ('PAYMENTS', 0.9943183660507202)], [[[78.0, 427.0], [179.0, 425.0], [180.0, 444.0], [79.0, 447.0]], ('Cash Payment', 0.9750351905822754)], [[[369.0, 421.0], [411.0, 421.0], [411.0, 439.0], [369.0, 439.0]], ('20.00', 0.9957243800163269)], [[[78.0, 446.0], [132.0, 446.0], [132.0, 466.0], [78.0, 466.0]], ('CHANGE', 0.9978646636009216)], [[[373.0, 438.0], [413.0, 438.0], [413.0, 459.0], [373.0, 459.0]], ('2.58', 0.9942039251327515)], [[[78.0, 486.0], [195.0, 482.0], [196.0, 502.0], [79.0, 506.0]], ('TOTAL PAYMENTS', 0.9710321426391602)], [[[374.0, 477.0], [415.0, 477.0], [415.0, 496.0], [374.0, 496.0]], ('17.42', 0.9870971441268921)], [[[79.0, 506.0], [164.0, 503.0], [165.0, 522.0], [80.0, 526.0]], ('TOTAL TIPS', 0.9632652401924133)], [[[381.0, 497.0], [417.0, 497.0], [417.0, 516.0], [381.0, 516.0]], ('0.00', 0.9910659790039062)], [[[383.0, 536.0], [420.0, 536.0], [420.0, 555.0], [383.0, 555.0]], ('0.00', 0.9961722493171692)], [[[77.0, 547.0], [171.0, 544.0], [172.0, 564.0], [78.0, 566.0]], ('Ba lance Due', 0.9078118801116943)], [[[193.0, 604.0], [315.0, 598.0], [316.0, 618.0], [194.0, 625.0]], ('Suggested Tips:', 0.943086564540863)], [[[215.0, 623.0], [298.0, 620.0], [299.0, 639.0], [216.0, 643.0]], ('18%=2.88', 0.9601062536239624)], [[[215.0, 644.0], [297.0, 639.0], [298.0, 660.0], [216.0, 665.0]], ('20%=3.20', 0.976561427116394)], [[[215.0, 665.0], [299.0, 659.0], [301.0, 683.0], [216.0, 689.0]], ('22%=3.52', 0.9716464281082153)]]	{"store_name": "CornerstoneCafe", "store_addr": "17AvenueB NewYork,NY10009", "telephone": "212.228.1260", "date": "8/16/17", "time": "11:04AM", "subtotal": "16.00", "tax": "1.42", "total": "17.42", "ignore": "", "tips": "0.00 18%=2.88 20%=3.20 22%=3.52", "line_items": [{"item_key": "", "item_name": "Steak&Eggs", "item_value": "16.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[51.0, 38.0], [112.0, 34.0], [113.0, 48.0], [52.0, 53.0]], ('Gaucho Gri11', 0.8426622748374939)], [[[51.0, 49.0], [141.0, 45.0], [141.0, 58.0], [51.0, 62.0]], ('One Nor th Broadway', 0.9173851013183594)], [[[51.0, 62.0], [159.0, 55.0], [160.0, 68.0], [51.0, 75.0]], ('White Plains NY 10601', 0.9119056463241577)], [[[51.0, 73.0], [142.0, 67.0], [142.0, 81.0], [51.0, 87.0]], ('Tel.914)437-9966', 0.9588662385940552)], [[[51.0, 84.0], [116.0, 80.0], [116.0, 94.0], [51.0, 98.0]], ('Order 84017', 0.9370462894439697)], [[[51.0, 93.0], [206.0, 86.0], [207.0, 103.0], [51.0, 110.0]], ('10/16/15g32PHCheck 81055', 0.9207289814949036)], [[[51.0, 106.0], [226.0, 100.0], [227.0, 114.0], [51.0, 120.0]], ('Table 10 Cust.3 Server 7 Facundo', 0.9289724826812744)], [[[47.0, 147.0], [121.0, 146.0], [121.0, 160.0], [47.0, 161.0]], ('1 TUNA CEVICHE', 0.9228458404541016)], [[[214.0, 145.0], [245.0, 145.0], [245.0, 159.0], [214.0, 159.0]], ('16.00', 0.9822627902030945)], [[[46.0, 160.0], [123.0, 159.0], [123.0, 173.0], [46.0, 174.0]], ('1 Caesar Salad', 0.9594794511795044)], [[[215.0, 157.0], [245.0, 157.0], [245.0, 171.0], [215.0, 171.0]], ('10.00', 0.9879922866821289)], [[[46.0, 173.0], [126.0, 171.0], [126.0, 184.0], [46.0, 186.0]], ('1Surf and Turf', 0.9349719285964966)], [[[216.0, 170.0], [245.0, 170.0], [245.0, 181.0], [216.0, 181.0]], ('46.00', 0.9828157424926758)], [[[48.0, 186.0], [106.0, 186.0], [106.0, 197.0], [48.0, 197.0]], ('1 Churrasco', 0.9506604671478271)], [[[216.0, 182.0], [245.0, 182.0], [245.0, 193.0], [216.0, 193.0]], ('32.00', 0.993564248085022)], [[[48.0, 198.0], [109.0, 198.0], [109.0, 209.0], [48.0, 209.0]], ('1Parrillada', 0.911022961139679)], [[[216.0, 193.0], [247.0, 193.0], [247.0, 207.0], [216.0, 207.0]], ('38.00', 0.9956242442131042)], [[[46.0, 210.0], [130.0, 209.0], [130.0, 220.0], [46.0, 221.0]], ('1 Side Asparagus', 0.932970404624939)], [[[221.0, 206.0], [246.0, 206.0], [246.0, 218.0], [221.0, 218.0]], ("00'6", 0.8685131072998047)], [[[45.0, 222.0], [127.0, 222.0], [127.0, 235.0], [45.0, 235.0]], ('1 Potato Kedges', 0.8841454386711121)], [[[223.0, 219.0], [247.0, 219.0], [247.0, 231.0], [223.0, 231.0]], ('7.00', 0.9931596517562866)], [[[44.0, 235.0], [110.0, 233.0], [111.0, 247.0], [44.0, 249.0]], ('1 POLENTA SP', 0.9268040060997009)], [[[218.0, 231.0], [248.0, 231.0], [248.0, 245.0], [218.0, 245.0]], ('14.00', 0.9956089854240417)], [[[42.0, 248.0], [120.0, 246.0], [120.0, 259.0], [42.0, 261.0]], ('1 Creme Brulee', 0.9290065765380859)], [[[223.0, 243.0], [249.0, 243.0], [249.0, 258.0], [223.0, 258.0]], ('8.00', 0.991849422454834)], [[[44.0, 261.0], [93.0, 261.0], [93.0, 272.0], [44.0, 272.0]], ('1Sorbets', 0.9907511472702026)], [[[224.0, 258.0], [248.0, 258.0], [248.0, 270.0], [224.0, 270.0]], ('8.00', 0.9928992986679077)], [[[42.0, 274.0], [97.0, 274.0], [97.0, 285.0], [42.0, 285.0]], ('2.Iced Tea', 0.8944042325019836)], [[[225.0, 271.0], [249.0, 271.0], [249.0, 283.0], [225.0, 283.0]], ('8.00', 0.995644211769104)], [[[40.0, 286.0], [124.0, 285.0], [124.0, 299.0], [40.0, 300.0]], ('1 Saratoga Flat', 0.9509606957435608)], [[[224.0, 283.0], [251.0, 283.0], [251.0, 298.0], [224.0, 298.0]], ('009', 0.9733633995056152)], [[[39.0, 300.0], [111.0, 298.0], [112.0, 312.0], [40.0, 315.0]], ('2 CAB SAUV GL', 0.8985872864723206)], [[[219.0, 297.0], [251.0, 297.0], [251.0, 311.0], [219.0, 311.0]], ('24.00', 0.9952160716056824)], [[[37.0, 314.0], [119.0, 314.0], [119.0, 327.0], [37.0, 327.0]], ('2 Dirty Gaucho', 0.9126990437507629)], [[[219.0, 310.0], [252.0, 310.0], [252.0, 324.0], [219.0, 324.0]], ('24.00', 0.9950358271598816)], [[[144.0, 336.0], [189.0, 336.0], [189.0, 351.0], [144.0, 351.0]], ('Taxable:', 0.9797918796539307)], [[[215.0, 336.0], [252.0, 336.0], [252.0, 352.0], [215.0, 352.0]], ('250.00', 0.987621009349823)], [[[133.0, 364.0], [189.0, 364.0], [189.0, 378.0], [133.0, 378.0]], ('Sub-total:', 0.9754096865653992)], [[[215.0, 364.0], [252.0, 364.0], [252.0, 379.0], [215.0, 379.0]], ('250.00', 0.9875981211662292)], [[[165.0, 377.0], [190.0, 377.0], [190.0, 392.0], [165.0, 392.0]], ('Tax:', 0.9755575060844421)], [[[219.0, 378.0], [252.0, 378.0], [252.0, 392.0], [219.0, 392.0]], ('20.94', 0.9922984838485718)], [[[77.0, 405.0], [186.0, 403.0], [186.0, 416.0], [77.0, 418.0]], ('Total Due:', 0.9132803082466125)], [[[194.0, 405.0], [259.0, 405.0], [259.0, 416.0], [194.0, 416.0]], ('270.94', 0.9938318729400635)]]	{"store_name": "GauchoGrill", "store_addr": "OneNorthBroadway WhitePlainsNY10601", "telephone": "Tel,(914)437-9966", "date": "10/16/15", "time": "9:32PM", "subtotal": "250.00 250.00", "tax": "20.94", "total": "270.94", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "TUNACEVICHE", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CaesarSalad", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SurfandTurf", "item_value": "46.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Churrasco", "item_value": "32.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Parrillada", "item_value": "38.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SideAsparagus", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PotatoKedges", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "POLENTASP", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CremeBrulee", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Sorbets", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "IcedTea", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SaratogaFlat", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CABSAUVGL", "item_value": "24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DirtyGaucho", "item_value": "24.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[129.0, 120.0], [232.0, 120.0], [232.0, 137.0], [129.0, 137.0]], ('Jesame', 0.8565182685852051)], [[[24.0, 153.0], [317.0, 153.0], [317.0, 170.0], [24.0, 170.0]], ('51QUAI DE UALMY-75010 PARIS', 0.921696126461029)], [[[65.0, 173.0], [274.0, 172.0], [274.0, 190.0], [65.0, 191.0]], ('TEL:01.42.49.03.21', 0.9708882570266724)], [[[23.0, 205.0], [79.0, 205.0], [79.0, 226.0], [23.0, 226.0]], ('TABLE', 0.9958997964859009)], [[[40.0, 227.0], [188.0, 225.0], [189.0, 241.0], [40.0, 243.0]], ('2 COUVERT ALEXANDRE', 0.9325998425483704)], [[[48.0, 269.0], [154.0, 269.0], [154.0, 286.0], [48.0, 286.0]], ('1 SOUPE DU JOUR', 0.909747838973999)], [[[280.0, 268.0], [312.0, 268.0], [312.0, 284.0], [280.0, 284.0]], ('5.00', 0.9971411824226379)], [[[47.0, 286.0], [121.0, 286.0], [121.0, 303.0], [47.0, 303.0]], ('1TIRAMISU', 0.9600003361701965)], [[[280.0, 285.0], [314.0, 285.0], [314.0, 304.0], [280.0, 304.0]], ('5.00', 0.9960269331932068)], [[[47.0, 306.0], [216.0, 304.0], [216.0, 321.0], [48.0, 323.0]], ('1 BAGUETTE LEGUME/CHEURE', 0.9530364871025085)], [[[281.0, 305.0], [312.0, 305.0], [312.0, 321.0], [281.0, 321.0]], ('6.50', 0.99144446849823)], [[[48.0, 323.0], [88.0, 323.0], [88.0, 341.0], [48.0, 341.0]], ('1THE', 0.9914351105690002)], [[[280.0, 321.0], [314.0, 321.0], [314.0, 340.0], [280.0, 340.0]], ('3.70', 0.9953221678733826)], [[[49.0, 341.0], [136.0, 341.0], [136.0, 358.0], [49.0, 358.0]], ('1 SMOOTHIE B', 0.8901750445365906)], [[[282.0, 341.0], [313.0, 341.0], [313.0, 357.0], [282.0, 357.0]], ('4.50', 0.9945535063743591)], [[[155.0, 388.0], [176.0, 388.0], [176.0, 407.0], [155.0, 407.0]], ('HT', 0.9628626108169556)], [[[219.0, 387.0], [246.0, 387.0], [246.0, 407.0], [219.0, 407.0]], ('TUA', 0.9454191327095032)], [[[286.0, 387.0], [314.0, 387.0], [314.0, 407.0], [286.0, 407.0]], ('ITC', 0.9225413799285889)], [[[23.0, 408.0], [89.0, 408.0], [89.0, 425.0], [23.0, 425.0]], ('TUA 19.67.', 0.8902285695075989)], [[[137.0, 407.0], [178.0, 407.0], [178.0, 426.0], [137.0, 426.0]], ('20.65', 0.9920580983161926)], [[[214.0, 408.0], [245.0, 408.0], [245.0, 424.0], [214.0, 424.0]], ('4.05', 0.9943749904632568)], [[[275.0, 406.0], [314.0, 406.0], [314.0, 425.0], [275.0, 425.0]], ('24.70', 0.9933339953422546)], [[[26.0, 454.0], [124.0, 456.0], [124.0, 477.0], [25.0, 475.0]], ('TOTAL', 0.9980853796005249)], [[[225.0, 456.0], [324.0, 454.0], [325.0, 475.0], [225.0, 477.0]], ('24.70', 0.9955436587333679)], [[[24.0, 489.0], [218.0, 488.0], [218.0, 505.0], [24.0, 506.0]], ('VENDREDI26-09-200817:03:45', 0.9535165429115295)], [[[23.0, 508.0], [304.0, 506.0], [305.0, 523.0], [23.0, 525.0]], ('CLe 11-SerV.10-CAISSE1-N0TE 010151/1', 0.9165375828742981)], [[[94.0, 537.0], [237.0, 537.0], [237.0, 554.0], [94.0, 554.0]], ('MERCI DE VOTRE UISITE', 0.9174702167510986)], [[[132.0, 556.0], [198.0, 556.0], [198.0, 573.0], [132.0, 573.0]], ('A BIENTOT', 0.9328042268753052)], [[[120.0, 574.0], [212.0, 574.0], [212.0, 591.0], [120.0, 591.0]], ('SARL DLM&CO', 0.9584333300590515)], [[[92.0, 592.0], [238.0, 591.0], [238.0, 608.0], [92.0, 609.0]], ('RCS PARIS 490456100', 0.9479156136512756)]]	{"store_name": "", "store_addr": "51QUAIDEUALMY-75010PARIS", "telephone": "01.42.49.03.21", "date": "26-09-2008", "time": "17:03:45", "subtotal": "20.65", "tax": "4.05", "total": "24.70 24.70", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SOUPEDUJOUR", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TIRAMISU", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BAGUETTELEGUME/CHEURE", "item_value": "6.50", "item_quantity": "1"}, {"item_key": "", "item_name": "THE", "item_value": "3.70", "item_quantity": "1"}, {"item_key": "", "item_name": "SMOOTHIEB", "item_value": "4.50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[300.0, 49.0], [537.0, 53.0], [536.0, 120.0], [299.0, 116.0]], ('STARLES', 0.8476967811584473)], [[[231.0, 176.0], [277.0, 181.0], [275.0, 199.0], [229.0, 194.0]], ('LOW', 0.9330378174781799)], [[[296.0, 188.0], [374.0, 188.0], [374.0, 206.0], [296.0, 206.0]], ('nlees', 0.6172131896018982)], [[[446.0, 223.0], [603.0, 236.0], [601.0, 261.0], [444.0, 248.0]], ('Brooks Blvd', 0.9204407334327698)], [[[447.0, 252.0], [556.0, 260.0], [554.0, 281.0], [446.0, 273.0]], ('QK 73000', 0.6176955103874207)], [[[367.0, 281.0], [556.0, 293.0], [554.0, 320.0], [365.0, 308.0]], ('405354-8009', 0.9910526275634766)], [[[160.0, 291.0], [226.0, 298.0], [222.0, 332.0], [157.0, 325.0]], ('SALE', 0.9986527562141418)], [[[491.0, 322.0], [744.0, 327.0], [744.0, 355.0], [490.0, 350.0]], ('1538530 100174971', 0.9669821262359619)], [[[489.0, 350.0], [752.0, 353.0], [752.0, 387.0], [489.0, 383.0]], ('1136 11/21/1412:03', 0.9224851131439209)], [[[158.0, 363.0], [208.0, 366.0], [207.0, 397.0], [156.0, 394.0]], ('QTY', 0.9971742630004883)], [[[196.0, 367.0], [266.0, 371.0], [264.0, 404.0], [194.0, 400.0]], ('(SKU', 0.9716305732727051)], [[[683.0, 385.0], [758.0, 388.0], [757.0, 417.0], [682.0, 414.0]], ('PRICE', 0.9979149103164673)], [[[154.0, 474.0], [169.0, 474.0], [169.0, 500.0], [154.0, 500.0]], ('1', 0.9284651875495911)], [[[213.0, 476.0], [509.0, 480.0], [509.0, 515.0], [213.0, 511.0]], ('LOGITECH C920 WERCAM', 0.9435218572616577)], [[[210.0, 513.0], [391.0, 520.0], [390.0, 548.0], [209.0, 541.0]], ('097855074355', 0.9980556964874268)], [[[688.0, 511.0], [763.0, 511.0], [763.0, 540.0], [688.0, 540.0]], ('74.99', 0.9696647524833679)], [[[149.0, 544.0], [270.0, 551.0], [268.0, 584.0], [147.0, 577.0]], ('SUBTOTAL', 0.9963750839233398)], [[[687.0, 542.0], [764.0, 545.0], [763.0, 577.0], [686.0, 574.0]], ('74.99', 0.970982551574707)], [[[206.0, 625.0], [479.0, 618.0], [480.0, 652.0], [207.0, 659.0]], ('StandardTax 8.85%', 0.9450879096984863)], [[[695.0, 616.0], [763.0, 616.0], [763.0, 650.0], [695.0, 650.0]], ('6.63', 0.9865965247154236)], [[[139.0, 694.0], [219.0, 694.0], [219.0, 735.0], [139.0, 735.0]], ('TOTAL', 0.942265510559082)], [[[669.0, 689.0], [764.0, 692.0], [763.0, 724.0], [668.0, 722.0]], ('$81.62', 0.9941732883453369)]]	{"store_name": "STAPLES", "store_addr": "1701GarthBrooksBlvd. Yukon,OK73099", "telephone": "(405)354-8009", "date": "11/21/14", "time": "12:03", "subtotal": "74.99", "tax": "6.63", "total": "$81.62", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "LOGITECHC920WEBEAM", "item_value": "74.99", "item_quantity": "1"}, {"item_key": "SKU", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[181.0, 263.0], [291.0, 274.0], [288.0, 299.0], [178.0, 288.0]], ('2004-10-31', 0.9907621145248413)], [[[519.0, 302.0], [585.0, 312.0], [581.0, 338.0], [515.0, 328.0]], ('21PM', 0.9436794519424438)], [[[287.0, 343.0], [489.0, 364.0], [487.0, 386.0], [285.0, 364.0]], ('YOUR QUEST NUMBER IS', 0.925524115562439)], [[[368.0, 374.0], [412.0, 378.0], [410.0, 402.0], [366.0, 397.0]], ('86', 0.7846053838729858)], [[[203.0, 404.0], [544.0, 434.0], [542.0, 455.0], [201.0, 425.0]], ('IN-N-OUT BURGER LAS VEGAS EASTERN', 0.9453833699226379)], [[[170.0, 424.0], [279.0, 434.0], [277.0, 455.0], [168.0, 445.0]], ('2004-10-31', 0.9861383438110352)], [[[332.0, 458.0], [434.0, 467.0], [432.0, 489.0], [330.0, 481.0]], ('1651598', 0.9501791000366211)], [[[510.0, 451.0], [578.0, 457.0], [575.0, 481.0], [508.0, 474.0]], ('S:21PM', 0.7989653944969177)], [[[166.0, 490.0], [296.0, 500.0], [295.0, 521.0], [164.0, 511.0]], ('Cashier: SAM', 0.8580707907676697)], [[[165.0, 510.0], [400.0, 527.0], [398.0, 553.0], [163.0, 536.0]], ('GUEST#9S', 0.894220232963562)], [[[204.0, 558.0], [496.0, 578.0], [494.0, 602.0], [202.0, 583.0]], ('Counter-Eat In', 0.9543333053588867)], [[[191.0, 598.0], [253.0, 604.0], [250.0, 628.0], [188.0, 621.0]], ('Db1Db1', 0.8602356910705566)], [[[159.0, 615.0], [328.0, 632.0], [325.0, 658.0], [156.0, 640.0]], ('98 Meat Pty XChz', 0.8848272562026978)], [[[525.0, 617.0], [568.0, 620.0], [566.0, 645.0], [523.0, 642.0]], ('2.65', 0.9790086150169373)], [[[515.0, 641.0], [567.0, 641.0], [567.0, 665.0], [515.0, 665.0]], ('88.20', 0.9279840588569641)], [[[159.0, 655.0], [303.0, 673.0], [300.0, 695.0], [156.0, 678.0]], ('Countar-Eat In', 0.939923882484436)], [[[160.0, 678.0], [251.0, 690.0], [248.0, 709.0], [157.0, 697.0]], ('TAX7.50%', 0.9431078433990479)], [[[513.0, 682.0], [563.0, 682.0], [563.0, 705.0], [513.0, 705.0]], ('90.85', 0.9782005548477173)], [[[158.0, 697.0], [261.0, 711.0], [258.0, 733.0], [155.0, 718.0]], ('Amount Due', 0.9386264085769653)], [[[517.0, 701.0], [560.0, 704.0], [559.0, 726.0], [516.0, 723.0]], ('6.81', 0.9678705930709839)], [[[507.0, 722.0], [560.0, 722.0], [560.0, 746.0], [507.0, 746.0]], ('97.66', 0.9303702116012573)], [[[156.0, 734.0], [268.0, 751.0], [265.0, 772.0], [153.0, 755.0]], ('CASH TENDER', 0.9630529880523682)], [[[157.0, 754.0], [216.0, 766.0], [212.0, 785.0], [153.0, 773.0]], ('Change', 0.9939408898353577)], [[[495.0, 763.0], [555.0, 763.0], [555.0, 785.0], [495.0, 785.0]], ('$97.66', 0.956461489200592)], [[[511.0, 782.0], [554.0, 782.0], [554.0, 805.0], [511.0, 805.0]], ('$.00', 0.9869614839553833)], [[[156.0, 805.0], [252.0, 824.0], [248.0, 846.0], [151.0, 828.0]], ('2004-10-31', 0.9861798286437988)], [[[478.0, 839.0], [547.0, 839.0], [547.0, 863.0], [478.0, 863.0]], ('S:21PM', 0.8325832486152649)], [[[251.0, 878.0], [442.0, 898.0], [439.0, 923.0], [248.0, 904.0]], ('THANK YOU!', 0.9393250346183777)]]	{"store_name": "IN-N-OUTBURGERLASVEGASEASTERN", "store_addr": "", "telephone": "", "date": "2004-10-31 2004-10-31 2004-10-31", "time": "8:21PM 8:21PM 8:21PM", "subtotal": "90.85", "tax": "6.81", "total": "$97.66 97.66", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DblDbl", "item_value": "88.20", "item_quantity": "1"}, {"item_key": "", "item_name": "98MeatPtyXChz", "item_value": "2.65", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[98.0, 31.0], [169.0, 31.0], [169.0, 49.0], [98.0, 49.0]], ('POTAMOS', 0.9956597089767456)], [[[49.0, 59.0], [239.0, 50.0], [239.0, 70.0], [50.0, 79.0]], ('SEA FOOD RESTAURANT', 0.959327220916748)], [[[58.0, 82.0], [232.0, 73.0], [233.0, 87.0], [59.0, 96.0]], ('POTAMOS LIOPETRIOY-TEL99658243', 0.8857108950614929)], [[[33.0, 108.0], [122.0, 103.0], [123.0, 117.0], [34.0, 122.0]], ('Cashier Cashier', 0.9189078211784363)], [[[33.0, 120.0], [134.0, 114.0], [135.0, 128.0], [34.0, 134.0]], ('VATNo10246938', 0.976520836353302)], [[[32.0, 132.0], [222.0, 123.0], [223.0, 138.0], [33.0, 146.0]], ('Date 05/04/2015 13:33:23 Ticket:0', 0.9315755367279053)], [[[117.0, 155.0], [197.0, 150.0], [198.0, 165.0], [118.0, 169.0]], ('Table Statement', 0.9571926593780518)], [[[34.0, 172.0], [90.0, 170.0], [90.0, 184.0], [35.0, 186.0]], ('TABLE54', 0.9826126098632812)], [[[36.0, 200.0], [60.0, 200.0], [60.0, 212.0], [36.0, 212.0]], ('Iten', 0.9517667293548584)], [[[127.0, 194.0], [232.0, 188.0], [233.0, 205.0], [128.0, 211.0]], ('Qty/gr Price Total', 0.9422128200531006)], [[[33.0, 226.0], [118.0, 222.0], [118.0, 236.0], [34.0, 240.0]], ('Fresh Fish 250g', 0.9400847554206848)], [[[153.0, 224.0], [161.0, 224.0], [161.0, 232.0], [153.0, 232.0]], ('1', 0.8325712084770203)], [[[173.0, 219.0], [205.0, 219.0], [205.0, 233.0], [173.0, 233.0]], ('14.50', 0.9819774627685547)], [[[208.0, 218.0], [240.0, 218.0], [240.0, 232.0], [208.0, 232.0]], ('14.50', 0.9916743040084839)], [[[34.0, 240.0], [128.0, 237.0], [129.0, 250.0], [35.0, 253.0]], ('Fresh Kalanari La', 0.882917582988739)], [[[155.0, 236.0], [162.0, 238.0], [160.0, 246.0], [153.0, 245.0]], ('1', 0.9116385579109192)], [[[175.0, 233.0], [207.0, 233.0], [207.0, 247.0], [175.0, 247.0]], ('15.90', 0.992832362651825)], [[[205.0, 232.0], [240.0, 230.0], [241.0, 245.0], [206.0, 247.0]], ('15.90', 0.9930597543716431)], [[[35.0, 254.0], [130.0, 250.0], [131.0, 264.0], [36.0, 268.0]], ('Cyprlot Village S', 0.890173614025116)], [[[154.0, 251.0], [161.0, 251.0], [161.0, 260.0], [154.0, 260.0]], ('1', 0.9469514489173889)], [[[179.0, 248.0], [205.0, 248.0], [205.0, 261.0], [179.0, 261.0]], ('6.50', 0.9597790837287903)], [[[214.0, 245.0], [242.0, 245.0], [242.0, 260.0], [214.0, 260.0]], ('6.50', 0.9851880073547363)], [[[37.0, 267.0], [74.0, 267.0], [74.0, 281.0], [37.0, 281.0]], ('Tahini', 0.9898075461387634)], [[[154.0, 264.0], [162.0, 264.0], [162.0, 274.0], [154.0, 274.0]], ('1', 0.9577341675758362)], [[[181.0, 262.0], [205.0, 262.0], [205.0, 274.0], [181.0, 274.0]], ('2.00', 0.9773128032684326)], [[[217.0, 260.0], [242.0, 260.0], [242.0, 272.0], [217.0, 272.0]], ('2.00', 0.9970548152923584)], [[[35.0, 283.0], [81.0, 279.0], [82.0, 294.0], [36.0, 298.0]], ('Keo 63c', 0.9060169458389282)], [[[181.0, 276.0], [208.0, 276.0], [208.0, 289.0], [181.0, 289.0]], ('3.50', 0.9957854747772217)], [[[215.0, 274.0], [243.0, 271.0], [244.0, 286.0], [216.0, 289.0]], ('3.50', 0.9939796924591064)], [[[36.0, 325.0], [116.0, 321.0], [116.0, 336.0], [37.0, 340.0]], ('Gross Amount', 0.9487481117248535)], [[[178.0, 318.0], [210.0, 318.0], [210.0, 333.0], [178.0, 333.0]], ('42.40', 0.9934171438217163)], [[[35.0, 341.0], [132.0, 336.0], [133.0, 350.0], [36.0, 355.0]], ('Discount Amount', 0.950260579586029)], [[[178.0, 334.0], [205.0, 334.0], [205.0, 350.0], [178.0, 350.0]], ('0.00', 0.9958739280700684)], [[[37.0, 368.0], [194.0, 365.0], [194.0, 382.0], [38.0, 385.0]], ('TOTAL AMOUNT :', 0.9059892296791077)], [[[228.0, 364.0], [288.0, 361.0], [288.0, 379.0], [229.0, 381.0]], ('42.40', 0.9980677366256714)], [[[35.0, 401.0], [168.0, 398.0], [168.0, 414.0], [36.0, 417.0]], ('VAT Amount Inc.3.50', 0.9452869296073914)]]	{"store_name": "POTAMOS SEAFOODRESTAURANT", "store_addr": "", "telephone": "89658243", "date": "05/04/2015", "time": "13:33:23", "subtotal": "42.40", "tax": "3.50", "total": "42.40", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FreshFish250g", "item_value": "14.50", "item_quantity": "1"}, {"item_key": "", "item_name": "FreshKalamariLa", "item_value": "15.90", "item_quantity": "1"}, {"item_key": "", "item_name": "CyprlotVillageS", "item_value": "6.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Tahini", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Keo63cl", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "Item", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[309.0, 90.0], [602.0, 48.0], [606.0, 74.0], [313.0, 115.0]], ('Order No:36070100007639', 0.9449208378791809)], [[[413.0, 100.0], [553.0, 81.0], [557.0, 105.0], [417.0, 124.0]], ('FS Dine-In', 0.940289318561554)], [[[112.0, 118.0], [289.0, 93.0], [293.0, 115.0], [115.0, 141.0]], ('Date:20/02/2009', 0.9799237847328186)], [[[311.0, 113.0], [365.0, 108.0], [367.0, 132.0], [314.0, 137.0]], ('Type', 0.9969573020935059)], [[[412.0, 125.0], [503.0, 112.0], [507.0, 139.0], [416.0, 152.0]], ('070/01', 0.9968647360801697)], [[[111.0, 141.0], [229.0, 124.0], [232.0, 146.0], [114.0, 163.0]], ('Time:19:49', 0.9449478387832642)], [[[312.0, 137.0], [379.0, 129.0], [382.0, 153.0], [315.0, 161.0]], ('Table', 0.9963958859443665)], [[[464.0, 168.0], [509.0, 164.0], [511.0, 189.0], [466.0, 194.0]], ('Qty', 0.9979386329650879)], [[[532.0, 159.0], [617.0, 146.0], [621.0, 172.0], [536.0, 185.0]], ('Amount', 0.9986189007759094)], [[[372.0, 178.0], [447.0, 171.0], [449.0, 199.0], [375.0, 206.0]], ('Price', 0.9988350868225098)], [[[525.0, 187.0], [620.0, 174.0], [624.0, 201.0], [529.0, 213.0]], ('W.Tax', 0.9578343629837036)], [[[102.0, 216.0], [152.0, 209.0], [156.0, 235.0], [105.0, 242.0]], ('Item', 0.9966391324996948)], [[[503.0, 246.0], [520.0, 246.0], [520.0, 268.0], [503.0, 268.0]], ('4', 0.99913090467453)], [[[540.0, 240.0], [630.0, 228.0], [633.0, 254.0], [543.0, 266.0]], ('34.444', 0.9970407485961914)], [[[402.0, 256.0], [475.0, 248.0], [479.0, 275.0], [406.0, 284.0]], ('7.900', 0.9961897730827332)], [[[503.0, 276.0], [518.0, 274.0], [521.0, 294.0], [507.0, 296.0]], ('1', 0.9831479787826538)], [[[558.0, 267.0], [634.0, 257.0], [638.0, 285.0], [562.0, 294.0]], ('1.526', 0.995467483997345)], [[[96.0, 293.0], [296.0, 270.0], [299.0, 299.0], [100.0, 322.0]], ('NON-VEG.MEALn', 0.9863863587379456)], [[[404.0, 285.0], [478.0, 276.0], [481.0, 304.0], [408.0, 312.0]], ('1.400', 0.9955108761787415)], [[[506.0, 305.0], [524.0, 305.0], [524.0, 329.0], [506.0, 329.0]], ('1', 0.9857390522956848)], [[[562.0, 296.0], [637.0, 287.0], [641.0, 315.0], [566.0, 324.0]], ('1.308', 0.9959255456924438)], [[[93.0, 322.0], [283.0, 299.0], [286.0, 328.0], [96.0, 351.0]], ('ORANGE JUICE(N)', 0.9296797513961792)], [[[406.0, 314.0], [479.0, 306.0], [482.0, 334.0], [409.0, 342.0]], ('1.200', 0.9963377118110657)], [[[564.0, 327.0], [642.0, 319.0], [645.0, 347.0], [567.0, 355.0]], ('0.872', 0.9957968592643738)], [[[508.0, 337.0], [526.0, 337.0], [526.0, 359.0], [508.0, 359.0]], ('1', 0.9899488687515259)], [[[88.0, 352.0], [296.0, 327.0], [299.0, 356.0], [92.0, 381.0]], ('Orange Cooler(R)', 0.9101788997650146)], [[[404.0, 347.0], [480.0, 337.0], [484.0, 365.0], [408.0, 374.0]], ('0.800', 0.9949641227722168)], [[[565.0, 359.0], [644.0, 350.0], [648.0, 380.0], [569.0, 389.0]], ('0.981', 0.9969927072525024)], [[[406.0, 378.0], [484.0, 370.0], [487.0, 398.0], [409.0, 406.0]], ('0.900', 0.9974384307861328)], [[[513.0, 369.0], [528.0, 369.0], [528.0, 391.0], [513.0, 391.0]], ('1', 0.9840410947799683)], [[[87.0, 382.0], [362.0, 351.0], [366.0, 379.0], [90.0, 410.0]], ('MINERAL WATER (LARGE)', 0.9310653209686279)], [[[86.0, 413.0], [363.0, 384.0], [365.0, 411.0], [89.0, 439.0]], ('AREATED DRINREGULAR)', 0.9558147192001343)], [[[557.0, 426.0], [653.0, 417.0], [656.0, 447.0], [560.0, 456.0]], ('39.131', 0.9929187297821045)], [[[295.0, 453.0], [425.0, 441.0], [428.0, 471.0], [298.0, 483.0]], ('Sub Total', 0.901340901851654)], [[[576.0, 460.0], [659.0, 451.0], [662.0, 482.0], [579.0, 490.0]], ('3.130', 0.995942234992981)], [[[211.0, 496.0], [499.0, 470.0], [502.0, 499.0], [214.0, 526.0]], ('Service Charge 8%', 0.9599194526672363)], [[[567.0, 531.0], [669.0, 522.0], [672.0, 556.0], [570.0, 565.0]], ('42.261', 0.9927797913551331)], [[[248.0, 560.0], [505.0, 535.0], [509.0, 572.0], [252.0, 596.0]], ('Total Amount', 0.9416696429252625)], [[[591.0, 606.0], [677.0, 599.0], [680.0, 633.0], [594.0, 640.0]], ('1.436', 0.9854157567024231)], [[[191.0, 637.0], [460.0, 619.0], [462.0, 648.0], [193.0, 666.0]], ('Luxury Tax4.00%', 0.9637025594711304)], [[[595.0, 644.0], [681.0, 637.0], [684.0, 672.0], [598.0, 679.0]], ('1.795', 0.994213879108429)], [[[146.0, 675.0], [463.0, 655.0], [465.0, 687.0], [148.0, 707.0]], ('Municipa1 Tax 5.00%)', 0.9147835969924927)], [[[54.0, 752.0], [308.0, 744.0], [309.0, 776.0], [55.0, 784.0]], ('Processed By:amit', 0.9556799530982971)], [[[96.0, 828.0], [623.0, 810.0], [624.0, 845.0], [97.0, 863.0]], ('Thank You Please Visit us again!', 0.9371123313903809)], [[[64.0, 868.0], [682.0, 849.0], [683.0, 888.0], [65.0, 907.0]], ('The Most Delicious Kababs of the World', 0.9374366402626038)], [[[244.0, 908.0], [475.0, 903.0], [476.0, 936.0], [245.0, 941.0]], ('Tel24478373', 0.9786603450775146)]]	{"store_name": "", "store_addr": "", "telephone": "24478373", "date": "20/02/2009", "time": "19:49", "subtotal": "39.131", "tax": "1.436 1.795", "total": "42.261", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "NON-VEG.MEAL(n)", "item_value": "34.444", "item_quantity": "1"}, {"item_key": "", "item_name": "ORANGEJUICE(N)", "item_value": "1.526", "item_quantity": "1"}, {"item_key": "", "item_name": "OrangeCooler(R)", "item_value": "1.308", "item_quantity": "1"}, {"item_key": "", "item_name": "MINERALWATER(LARGE)", "item_value": "0.872", "item_quantity": "1"}, {"item_key": "", "item_name": "AREATEDDRIN(REGULAR)", "item_value": "0.981", "item_quantity": "1"}, {"item_key": "Item", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[79.0, 12.0], [165.0, 11.0], [165.0, 24.0], [79.0, 25.0]], ('Welcome to Shel', 0.8207018375396729)], [[[51.0, 25.0], [193.0, 23.0], [193.0, 37.0], [51.0, 39.0]], ('PACKARDS SHELL', 0.9690424799919128)], [[[45.0, 38.0], [199.0, 36.0], [199.0, 50.0], [45.0, 52.0]], ('2417LEBANON RD', 0.9566498398780823)], [[[35.0, 51.0], [214.0, 47.0], [214.0, 62.0], [35.0, 67.0]], ('NASHVILLE TN 37214', 0.9533360004425049)], [[[92.0, 64.0], [151.0, 64.0], [151.0, 74.0], [92.0, 74.0]], ('12405756003', 0.997775137424469)], [[[60.0, 75.0], [170.0, 74.0], [170.0, 88.0], [61.0, 89.0]], ('SHELL OIL PRODUCTS US', 0.9303873777389526)], [[[59.0, 89.0], [152.0, 87.0], [152.0, 100.0], [60.0, 102.0]], ('2417 LEBANON PIKE', 0.9431161284446716)], [[[63.0, 101.0], [123.0, 101.0], [123.0, 111.0], [63.0, 111.0]], ('NASHVILLE', 0.9904364347457886)], [[[129.0, 100.0], [177.0, 100.0], [177.0, 110.0], [129.0, 110.0]], ('TN37214', 0.9556565880775452)], [[[139.0, 135.0], [157.0, 135.0], [157.0, 147.0], [139.0, 147.0]], ('Qty', 0.9843060374259949)], [[[183.0, 134.0], [216.0, 134.0], [216.0, 147.0], [183.0, 147.0]], ('Amount', 0.9862553477287292)], [[[14.0, 159.0], [60.0, 157.0], [61.0, 171.0], [15.0, 173.0]], ('TLABOR', 0.950340747833252)], [[[150.0, 159.0], [158.0, 159.0], [158.0, 169.0], [150.0, 169.0]], ('1', 0.9049459099769592)], [[[189.0, 158.0], [216.0, 158.0], [216.0, 169.0], [189.0, 169.0]], ('15.00', 0.9728164672851562)], [[[17.0, 173.0], [59.0, 173.0], [59.0, 184.0], [17.0, 184.0]], ('TLABOR', 0.893578290939331)], [[[151.0, 171.0], [159.0, 171.0], [159.0, 181.0], [151.0, 181.0]], ('1', 0.8613272309303284)], [[[191.0, 170.0], [219.0, 170.0], [219.0, 183.0], [191.0, 183.0]], ('15.00', 0.9957224130630493)], [[[111.0, 195.0], [155.0, 195.0], [155.0, 209.0], [111.0, 209.0]], ('Subtotal', 0.9934743642807007)], [[[191.0, 194.0], [221.0, 191.0], [222.0, 206.0], [192.0, 208.0]], ('30.00', 0.9936396479606628)], [[[138.0, 208.0], [158.0, 210.0], [156.0, 223.0], [136.0, 220.0]], ('Tax', 0.9958375096321106)], [[[198.0, 208.0], [223.0, 208.0], [223.0, 220.0], [198.0, 220.0]], ('2.78', 0.9932146072387695)], [[[70.0, 223.0], [122.0, 223.0], [122.0, 236.0], [70.0, 236.0]], ('TOTAL', 0.9984592199325562)], [[[172.0, 221.0], [226.0, 219.0], [227.0, 233.0], [172.0, 236.0]], ('32.78', 0.9950404167175293)], [[[133.0, 234.0], [175.0, 234.0], [175.0, 248.0], [133.0, 248.0]], ('CASH$', 0.9796889424324036)], [[[193.0, 234.0], [225.0, 231.0], [226.0, 246.0], [194.0, 248.0]], ('35.00', 0.9579893350601196)]]	{"store_name": "PACKARDSSHELL", "store_addr": "2417LEBANONRD NASHVILLETN37214 2417LEBANONPIKE NASHVILLETN37214", "telephone": "", "date": "", "time": "", "subtotal": "30.00", "tax": "2.78", "total": "32.78", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "LABOR", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LABOR", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "Descrlption", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[97.0, 5.0], [152.0, 3.0], [152.0, 17.0], [97.0, 19.0]], ('Reading', 0.9933283925056458)], [[[160.0, 2.0], [192.0, 0.0], [193.0, 10.0], [161.0, 14.0]], ('Ful7', 0.7286837100982666)], [[[60.0, 31.0], [213.0, 18.0], [214.0, 32.0], [61.0, 45.0]], ('YOUR VEHICLE CHARGES', 0.9629659652709961)], [[[288.0, 38.0], [330.0, 34.0], [332.0, 49.0], [290.0, 53.0]], ('60.00', 0.9135521650314331)], [[[89.0, 54.0], [132.0, 50.0], [133.0, 64.0], [90.0, 68.0]], ('4DYe', 0.835298478603363)], [[[129.0, 50.0], [185.0, 45.0], [186.0, 60.0], [130.0, 65.0]], ('1500', 0.9930301904678345)], [[[290.0, 53.0], [333.0, 49.0], [335.0, 64.0], [292.0, 68.0]], ('60.00', 0.9945567846298218)], [[[61.0, 69.0], [228.0, 57.0], [229.0, 71.0], [62.0, 82.0]], ('YOUR TIME AND MILEAGE', 0.9390931725502014)], [[[60.0, 93.0], [194.0, 86.0], [195.0, 100.0], [61.0, 107.0]], ('YOUR TAXABLE FEES', 0.959749698638916)], [[[294.0, 107.0], [336.0, 105.0], [337.0, 120.0], [295.0, 123.0]], ('26.68', 0.9258982539176941)], [[[60.0, 120.0], [157.0, 115.0], [157.0, 129.0], [61.0, 134.0]], ('11118FEE', 0.904957115650177)], [[[294.0, 122.0], [338.0, 118.0], [340.0, 136.0], [296.0, 140.0]], ('61.02', 0.9898840188980103)], [[[59.0, 135.0], [172.0, 128.0], [173.0, 142.0], [60.0, 149.0]], ('FUEL PURCH OPT', 0.9351534843444824)], [[[289.0, 137.0], [338.0, 134.0], [338.0, 149.0], [290.0, 151.0]], ('111.96', 0.9023767113685608)], [[[60.0, 149.0], [206.0, 141.0], [207.0, 155.0], [61.0, 162.0]], ('LOSS DAMAGE WAIVER', 0.9618257880210876)], [[[202.0, 155.0], [260.0, 152.0], [261.0, 167.0], [203.0, 170.0]], ('6.00/DY', 0.9831333160400391)], [[[296.0, 152.0], [337.0, 149.0], [338.0, 164.0], [297.0, 166.0]], ('24.00', 0.8974319696426392)], [[[62.0, 163.0], [181.0, 157.0], [182.0, 171.0], [63.0, 177.0]], ('CUST FAC CHARGE', 0.9440656304359436)], [[[202.0, 171.0], [261.0, 168.0], [262.0, 183.0], [203.0, 186.0]], ('0.60/DY', 0.9043170809745789)], [[[303.0, 165.0], [337.0, 163.0], [338.0, 178.0], [304.0, 180.0]], ('2.40', 0.9462101459503174)], [[[63.0, 178.0], [183.0, 172.0], [184.0, 186.0], [64.0, 192.0]], ('ENERGY RECOVERY', 0.9638627171516418)], [[[181.0, 187.0], [238.0, 184.0], [239.0, 197.0], [181.0, 201.0]], ('1.19/DY', 0.9166690111160278)], [[[306.0, 179.0], [340.0, 179.0], [340.0, 194.0], [306.0, 194.0]], ('4.76', 0.976333498954773)], [[[64.0, 193.0], [161.0, 188.0], [161.0, 201.0], [65.0, 207.0]], ('MTNC FAC FEE', 0.9364107251167297)], [[[67.0, 220.0], [169.0, 215.0], [169.0, 229.0], [68.0, 234.0]], ('YOUR SUBTOTAL', 0.9761218428611755)], [[[69.0, 233.0], [177.0, 230.0], [177.0, 244.0], [69.0, 247.0]], ('TAXABLE SUBTOT', 0.9678896069526672)], [[[294.0, 225.0], [343.0, 222.0], [343.0, 237.0], [295.0, 239.0]], ('29082', 0.9976731538772583)], [[[303.0, 238.0], [343.0, 235.0], [344.0, 252.0], [304.0, 254.0]], ('44.50', 0.9226078987121582)], [[[68.0, 248.0], [155.0, 246.0], [155.0, 260.0], [68.0, 262.0]], ('TAX15.300%', 0.9665328860282898)], [[[70.0, 279.0], [243.0, 273.0], [243.0, 287.0], [71.0, 293.0]], ('YOUR NON TAXABLE ITEMS', 0.9406448602676392)], [[[161.0, 291.0], [221.0, 286.0], [222.0, 301.0], [162.0, 306.0]], ('3.25', 0.8701987266540527)], [[[311.0, 282.0], [346.0, 279.0], [347.0, 295.0], [312.0, 298.0]], ('9.45', 0.981580376625061)], [[[68.0, 294.0], [167.0, 291.0], [167.0, 304.0], [69.0, 308.0]], ('COUNTY SURCH', 0.9537050127983093)], [[[297.0, 312.0], [346.0, 308.0], [347.0, 323.0], [298.0, 327.0]], ('344.77', 0.9892023205757141)], [[[71.0, 322.0], [175.0, 319.0], [175.0, 334.0], [71.0, 337.0]], ('TOTAL CHARGES', 0.9623585343360901)], [[[72.0, 336.0], [160.0, 336.0], [160.0, 347.0], [72.0, 347.0]], ('PREPAYMENTS', 0.9911617040634155)], [[[297.0, 327.0], [345.0, 322.0], [346.0, 337.0], [299.0, 341.0]], ('116.91', 0.9965314269065857)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "290.82", "tax": "44.50", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MTNCFACFEE1.19/DY", "item_value": "4.76", "item_quantity": "1"}, {"item_key": "", "item_name": "ENERGYRECOVERY0.60/DY", "item_value": "2.40", "item_quantity": "1"}, {"item_key": "", "item_name": "CUSTFACCHARGE6.00/DY", "item_value": "24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LOSSDAMAGEWAIVER", "item_value": "111.96", "item_quantity": "1"}, {"item_key": "", "item_name": "FUELPURCHOPT", "item_value": "61.02", "item_quantity": "1"}, {"item_key": "", "item_name": "**11.11%FEE", "item_value": "26.68", "item_quantity": "1"}, {"item_key": "", "item_name": "YOURTIMEANDMILEAGE:", "item_value": "60.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "60.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[2781.0, 1093.0], [3832.0, 1053.0], [3837.0, 1197.0], [2786.0, 1238.0]], ('More saving', 0.9746381640434265)], [[[2731.0, 1249.0], [3796.0, 1229.0], [3798.0, 1355.0], [2734.0, 1375.0]], ('More doing.', 0.9135381579399109)], [[[2574.0, 1301.0], [2778.0, 1285.0], [2784.0, 1360.0], [2580.0, 1376.0]], ('R', 0.9356209635734558)], [[[2402.0, 1442.0], [3128.0, 1463.0], [3125.0, 1551.0], [2399.0, 1530.0]], ('75MYSTIC AVE.', 0.9289225935935974)], [[[1669.0, 1605.0], [2696.0, 1639.0], [2693.0, 1727.0], [1666.0, 1693.0]], ('26670000881243', 0.996798038482666)], [[[2753.0, 1630.0], [3836.0, 1670.0], [3833.0, 1758.0], [2750.0, 1718.0]], ('03/30/1305:00PM', 0.9687233567237854)], [[[1656.0, 1687.0], [2915.0, 1714.0], [2913.0, 1814.0], [1654.0, 1788.0]], ('CASHIER ERICK -EJS2421', 0.9627792239189148)], [[[1668.0, 1875.0], [3128.0, 1915.0], [3126.0, 2003.0], [1666.0, 1963.0]], ('038728635181 PRECSCRDVR <A', 0.9495169520378113)], [[[3497.0, 1926.0], [3773.0, 1926.0], [3773.0, 2014.0], [3497.0, 2014.0]], ('16.97', 0.997658371925354)], [[[1687.0, 2045.0], [3121.0, 2078.0], [3120.0, 2166.0], [1685.0, 2133.0]], ('037103144331 S0LDERKITA', 0.9600667357444763)], [[[3489.0, 2097.0], [3769.0, 2082.0], [3774.0, 2170.0], [3494.0, 2185.0]], ('31.97', 0.9972694516181946)], [[[1850.0, 2133.0], [3779.0, 2172.0], [3778.0, 2260.0], [1848.0, 2221.0]], ('WELLER 100/14OW UNVRSL S0LDERING GUN', 0.9192603230476379)], [[[2607.0, 2315.0], [3014.0, 2315.0], [3014.0, 2384.0], [2607.0, 2384.0]], ('SUBTOTAL', 0.9976664781570435)], [[[3494.0, 2314.0], [3780.0, 2329.0], [3776.0, 2417.0], [3489.0, 2402.0]], ('48.94', 0.9976733922958374)], [[[2607.0, 2378.0], [3089.0, 2378.0], [3089.0, 2466.0], [2607.0, 2466.0]], ('SALESTAX', 0.9932636618614197)], [[[3532.0, 2383.0], [3775.0, 2399.0], [3769.0, 2487.0], [3526.0, 2471.0]], ('3.06', 0.9925270080566406)], [[[2610.0, 2433.0], [2872.0, 2448.0], [2867.0, 2536.0], [2605.0, 2521.0]], ('TOTAL', 0.9981401562690735)], [[[3447.0, 2460.0], [3779.0, 2460.0], [3779.0, 2548.0], [3447.0, 2548.0]], ('$52.00', 0.9968773722648621)], [[[2619.0, 2523.0], [2851.0, 2523.0], [2851.0, 2592.0], [2619.0, 2592.0]], ('CASH', 0.995742678642273)], [[[3497.0, 2535.0], [3773.0, 2535.0], [3773.0, 2604.0], [3497.0, 2604.0]], ('52.00', 0.9969319105148315)], [[[1988.0, 2986.0], [3497.0, 3013.0], [3496.0, 3113.0], [1986.0, 3087.0]], ('2667088124303/30/20134396', 0.9910040497779846)], [[[2069.0, 3181.0], [3391.0, 3207.0], [3389.0, 3314.0], [2067.0, 3287.0]], ('RETURN POLICY DEFINITIONS', 0.9680992364883423)], [[[1913.0, 3281.0], [2414.0, 3295.0], [2411.0, 3389.0], [1910.0, 3375.0]], ('POLICY ID', 0.9609904885292053)], [[[2381.0, 3301.0], [2764.0, 3301.0], [2764.0, 3388.0], [2381.0, 3388.0]], ('DAYS', 0.9670437574386597)], [[[2884.0, 3306.0], [3805.0, 3326.0], [3803.0, 3414.0], [2882.0, 3394.0]], ('POLICY EXPIRES ON', 0.9462833404541016)], [[[2124.0, 3401.0], [2193.0, 3401.0], [2193.0, 3458.0], [2124.0, 3458.0]], ('1', 0.9725853800773621)], [[[2544.0, 3395.0], [2657.0, 3395.0], [2657.0, 3476.0], [2544.0, 3476.0]], ('90', 0.9951624870300293)], [[[3065.0, 3407.0], [3604.0, 3414.0], [3603.0, 3502.0], [3064.0, 3495.0]], ('06/28/2013', 0.9976029396057129)], [[[1812.0, 3463.0], [3711.0, 3496.0], [3709.0, 3602.0], [1810.0, 3570.0]], ('THE HOME DEPOT RESERVES THE RIGHT TO', 0.943476676940918)], [[[1793.0, 3557.0], [3698.0, 3590.0], [3696.0, 3697.0], [1792.0, 3664.0]], ('LIMIT/DENY RETURNS. PLEASE SEE THE', 0.9280478954315186)], [[[1894.0, 3645.0], [3598.0, 3684.0], [3596.0, 3785.0], [1892.0, 3745.0]], ('RETURN POLICY SIGN IN STORES FOR', 0.9421802759170532)], [[[2516.0, 3751.0], [2947.0, 3766.0], [2943.0, 3879.0], [2512.0, 3864.0]], ('DETAILS.', 0.9942488670349121)], [[[5872.0, 3803.0], [6003.0, 3803.0], [6003.0, 3903.0], [5872.0, 3903.0]], ('WA', 0.9953789710998535)], [[[5546.0, 3884.0], [6010.0, 3884.0], [6010.0, 3997.0], [5546.0, 3997.0]], ('04/14/20', 0.9933735728263855)], [[[1980.0, 3934.0], [2538.0, 3934.0], [2538.0, 4015.0], [1980.0, 4015.0]], ('BUY ONL TNE', 0.8979617953300476)]]	{"store_name": "THE THEHOMEDEPOT DEPOT", "store_addr": "75MYSTICAVE. SOMERVILLE,MA02145", "telephone": "(617)623-0001", "date": "03/30/13 06/28/2013", "time": "05:00PM", "subtotal": "48.94", "tax": "3.06", "total": "$52.00 52.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "038728635181PRECSCRDVR<A>", "item_value": "16.97", "item_quantity": "1"}, {"item_key": "", "item_name": "GENERALTOOLS18PCPRECSCRWDRVRSET", "item_value": "31.97", "item_quantity": "1"}, {"item_key": "", "item_name": "037103144331SOLDERKIT<A>", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "WELLER100/140WUNVRSLSOLDERINGGUN", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[179.0, 80.0], [371.0, 87.0], [369.0, 118.0], [178.0, 111.0]], ('Cook Out', 0.9085245728492737)], [[[33.0, 148.0], [147.0, 148.0], [147.0, 177.0], [33.0, 177.0]], ('Station 2', 0.9583607912063599)], [[[31.0, 180.0], [76.0, 180.0], [76.0, 214.0], [31.0, 214.0]], ('THU', 0.9981173872947693)], [[[242.0, 184.0], [330.0, 184.0], [330.0, 219.0], [242.0, 219.0]], ('9/11/14', 0.9980746507644653)], [[[442.0, 177.0], [522.0, 175.0], [523.0, 209.0], [443.0, 212.0]], ('6:31pm', 0.9599988460540771)], [[[62.0, 250.0], [268.0, 257.0], [267.0, 286.0], [61.0, 279.0]], ('1 Big Double Tray', 0.9417588710784912)], [[[430.0, 247.0], [487.0, 244.0], [488.0, 277.0], [432.0, 280.0]], ('3.20', 0.9922509789466858)], [[[97.0, 285.0], [176.0, 288.0], [175.0, 318.0], [96.0, 315.0]], ('Cheese', 0.9975995421409607)], [[[433.0, 281.0], [488.0, 281.0], [488.0, 314.0], [433.0, 314.0]], ('0.40', 0.9952324032783508)], [[[98.0, 318.0], [223.0, 322.0], [222.0, 354.0], [97.0, 351.0]], ('Everything', 0.9982431530952454)], [[[99.0, 354.0], [176.0, 354.0], [176.0, 384.0], [99.0, 384.0]], ('Tomato', 0.9980490803718567)], [[[434.0, 349.0], [490.0, 349.0], [490.0, 381.0], [434.0, 381.0]], ('0.10', 0.9935241937637329)], [[[100.0, 389.0], [189.0, 389.0], [189.0, 419.0], [100.0, 419.0]], ('W/Fries', 0.9842063784599304)], [[[101.0, 422.0], [248.0, 424.0], [248.0, 453.0], [101.0, 451.0]], ('W/Hush Pups', 0.9583076238632202)], [[[102.0, 459.0], [249.0, 459.0], [249.0, 488.0], [102.0, 488.0]], ('*Fancy Shake', 0.9652025103569031)], [[[435.0, 450.0], [491.0, 447.0], [493.0, 481.0], [437.0, 484.0]], ('2.79', 0.9917888045310974)], [[[113.0, 493.0], [251.0, 490.0], [252.0, 520.0], [114.0, 522.0]], ('Banana Pudd', 0.9424536228179932)], [[[68.0, 527.0], [273.0, 525.0], [274.0, 554.0], [68.0, 556.0]], ('1 Big Double Tray', 0.9438109397888184)], [[[438.0, 519.0], [493.0, 519.0], [493.0, 551.0], [438.0, 551.0]], ('3.20', 0.990868866443634)], [[[103.0, 560.0], [181.0, 560.0], [181.0, 591.0], [103.0, 591.0]], ('Cheese', 0.9980030059814453)], [[[439.0, 553.0], [494.0, 553.0], [494.0, 584.0], [439.0, 584.0]], ('0.40', 0.9894260764122009)], [[[102.0, 592.0], [157.0, 595.0], [156.0, 626.0], [100.0, 623.0]], ('Mayo', 0.9973172545433044)], [[[103.0, 628.0], [192.0, 628.0], [192.0, 657.0], [103.0, 657.0]], ('Ketchup', 0.9940846562385559)], [[[104.0, 661.0], [193.0, 661.0], [193.0, 691.0], [104.0, 691.0]], ('Pickles', 0.9942861795425415)], [[[105.0, 696.0], [194.0, 696.0], [194.0, 725.0], [105.0, 725.0]], ('Lettuce', 0.9963665008544922)], [[[105.0, 730.0], [195.0, 730.0], [195.0, 760.0], [105.0, 760.0]], ('W/Fries', 0.9853960275650024)], [[[106.0, 764.0], [243.0, 764.0], [243.0, 793.0], [106.0, 793.0]], ('W/Corn Dog', 0.9635035395622253)], [[[105.0, 800.0], [268.0, 793.0], [270.0, 826.0], [106.0, 833.0]], ('Lrg Diet Coke', 0.9669101238250732)], [[[445.0, 792.0], [501.0, 792.0], [501.0, 824.0], [445.0, 824.0]], ('1.79', 0.9948684573173523)], [[[92.0, 868.0], [182.0, 864.0], [184.0, 897.0], [93.0, 901.0]], ('Sub/Tt1', 0.9928454160690308)], [[[436.0, 862.0], [501.0, 862.0], [501.0, 894.0], [436.0, 894.0]], ('11.88', 0.9954761266708374)], [[[94.0, 904.0], [137.0, 904.0], [137.0, 935.0], [94.0, 935.0]], ('Tax', 0.9963966012001038)], [[[447.0, 898.0], [503.0, 898.0], [503.0, 929.0], [447.0, 929.0]], ('0.95', 0.9905153512954712)], [[[393.0, 931.0], [513.0, 935.0], [512.0, 967.0], [392.0, 963.0]], ('12.83', 0.998785674571991)], [[[44.0, 941.0], [166.0, 936.0], [167.0, 968.0], [45.0, 973.0]], ('Total', 0.9970934987068176)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "9/11/14", "time": "6:31pm", "subtotal": "11.88", "tax": "0.95", "total": "12.83", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BigDoubleTray", "item_value": "3.20", "item_quantity": "1"}, {"item_key": "", "item_name": "Cheese", "item_value": "0.40", "item_quantity": "1"}, {"item_key": "", "item_name": "Everything", "item_value": "0.10", "item_quantity": "1"}, {"item_key": "", "item_name": "Tomato", "item_value": "2.79", "item_quantity": "1"}, {"item_key": "", "item_name": "W/Fries", "item_value": "3.20", "item_quantity": "1"}, {"item_key": "", "item_name": "W/HushPups", "item_value": "0.40", "item_quantity": "1"}, {"item_key": "", "item_name": "*FancyShake", "item_value": "1.79", "item_quantity": "1"}, {"item_key": "", "item_name": "BananaPudd", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "BigDoubleTray", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Cheese", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Mayo", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Ketchup", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Pickles", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Lettuce", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "W/Fries", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "W/CornDog", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "LrgDietCoke", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[149.0, 68.0], [454.0, 71.0], [453.0, 123.0], [148.0, 119.0]], ('Walgreens', 0.8730807304382324)], [[[153.0, 150.0], [299.0, 150.0], [299.0, 170.0], [153.0, 170.0]], ('to serve you today.', 0.9397717714309692)], [[[167.0, 175.0], [193.0, 175.0], [193.0, 196.0], [167.0, 196.0]], ('207', 0.9988832473754883)], [[[269.0, 177.0], [311.0, 177.0], [311.0, 196.0], [269.0, 196.0]], ('10', 0.9852871298789978)], [[[302.0, 178.0], [438.0, 178.0], [438.0, 198.0], [302.0, 198.0]], ('921100178003', 0.9560710787773132)], [[[182.0, 205.0], [407.0, 206.0], [407.0, 226.0], [181.0, 225.0]], ('RFN#0017-8039-2114-0903-2020', 0.9804922342300415)], [[[172.0, 235.0], [334.0, 235.0], [334.0, 252.0], [172.0, 252.0]], ('MALG BIG ROLL 4 RL 1A', 0.8777758479118347)], [[[365.0, 236.0], [440.0, 231.0], [441.0, 251.0], [367.0, 256.0]], ('2.00SALE', 0.9846605062484741)], [[[191.0, 249.0], [257.0, 251.0], [257.0, 269.0], [190.0, 267.0]], ('SUBTOTAL', 0.994665801525116)], [[[368.0, 250.0], [403.0, 250.0], [403.0, 269.0], [368.0, 269.0]], ('2.00', 0.9953255653381348)], [[[176.0, 275.0], [321.0, 278.0], [321.0, 299.0], [175.0, 296.0]], ('A=10.25%SALES TAX', 0.930410623550415)], [[[366.0, 273.0], [406.0, 273.0], [406.0, 316.0], [366.0, 316.0]], ('2.21', 0.7744188904762268)], [[[193.0, 293.0], [237.0, 293.0], [237.0, 312.0], [193.0, 312.0]], ('TOTAL', 0.9965106248855591)], [[[261.0, 320.0], [301.0, 320.0], [301.0, 342.0], [261.0, 342.0]], ('CASH', 0.9904533624649048)], [[[371.0, 316.0], [405.0, 320.0], [403.0, 340.0], [369.0, 337.0]], ('3.00', 0.9894891977310181)], [[[192.0, 337.0], [243.0, 335.0], [244.0, 354.0], [193.0, 356.0]], ('CHANGE', 0.9970912933349609)], [[[379.0, 335.0], [402.0, 333.0], [404.0, 351.0], [381.0, 353.0]], ('.79', 0.9668693542480469)], [[[171.0, 365.0], [346.0, 362.0], [346.0, 380.0], [172.0, 383.0]], ('WAG ADVERTISED SAVINGS', 0.9494997262954712)], [[[171.0, 395.0], [324.0, 390.0], [324.0, 410.0], [172.0, 415.0]], ('YOUR TOTALSAVINGS', 0.9424780607223511)], [[[156.0, 469.0], [402.0, 464.0], [402.0, 485.0], [157.0, 489.0]], ('740 W Diversey Pkwy Chicago,IL', 0.9061492085456848)], [[[156.0, 488.0], [335.0, 482.0], [335.0, 501.0], [157.0, 506.0]], ('STORE773929-1755', 0.9735627770423889)], [[[270.0, 527.0], [346.0, 525.0], [346.0, 545.0], [271.0, 547.0]], ('THANK YOU', 0.9491899013519287)], [[[198.0, 563.0], [417.0, 555.0], [418.0, 572.0], [199.0, 580.0]], ("CAN'TFIND IT IN THE STORE?", 0.9174061417579651)], [[[155.0, 580.0], [454.0, 567.0], [455.0, 587.0], [156.0, 600.0]], ('WALGREENS.COM HAS THOUSANOS OF ONLINE', 0.9435927867889404)], [[[173.0, 595.0], [439.0, 585.0], [440.0, 605.0], [174.0, 615.0]], ('EXCLUSIVE ITEMS EASY RX ORDERING', 0.9431154727935791)], [[[181.0, 613.0], [432.0, 602.0], [433.0, 619.0], [182.0, 630.0]], ('WITH FREE SHIPPING AND CUSTOMER', 0.9420809149742126)], [[[247.0, 625.0], [383.0, 619.0], [384.0, 639.0], [248.0, 645.0]], ('PRODUCT REVIEWS.', 0.9700311422348022)], [[[166.0, 661.0], [449.0, 646.0], [450.0, 664.0], [167.0, 679.0]], ('WALGREENS PRESCRIPTION SAVINGS CLUB', 0.9649580717086792)], [[[190.0, 677.0], [426.0, 663.0], [427.0, 682.0], [191.0, 695.0]], ('SAVE ON OVER 5OOO BRAND NAME', 0.9209311604499817)], [[[208.0, 693.0], [397.0, 681.0], [398.0, 698.0], [209.0, 710.0]], ('ANE GENERIC MEDICATIONS', 0.9309009909629822)], [[[217.0, 723.0], [402.0, 709.0], [403.0, 726.0], [218.0, 740.0]], ('PLUS.OVER 400 GENERICS', 0.9267881512641907)], [[[218.0, 739.0], [402.0, 725.0], [403.0, 743.0], [219.0, 757.0]], ('FCR LESS THAN $1 A WEEK', 0.9020057916641235)], [[[208.0, 755.0], [404.0, 739.0], [405.0, 760.0], [210.0, 776.0]], ('SEE PHARMACY FOR DETAILS', 0.9570133090019226)], [[[372.0, 771.0], [439.0, 765.0], [441.0, 787.0], [374.0, 793.0]], ('10:21PM', 0.9333768486976624)], [[[185.0, 781.0], [305.0, 778.0], [305.0, 802.0], [186.0, 804.0]], ('MARCH202009', 0.9940237402915955)]]	{"store_name": "Walgreens", "store_addr": "740WDiverseyPkwyChicago,IL", "telephone": "(773)929-1755", "date": "MARCH202009", "time": "10:21PM", "subtotal": "2.00", "tax": ".21", "total": "2.21", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "WALGBIGROLL4RL1A", "item_value": "2.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[556.0, 60.0], [1024.0, 60.0], [1024.0, 93.0], [556.0, 93.0]], ('eileenelena.blogspot.com', 0.9970453381538391)], [[[352.0, 170.0], [681.0, 179.0], [679.0, 224.0], [351.0, 215.0]], ('BUA THAI CUISINE BISTRO', 0.9646466374397278)], [[[383.0, 205.0], [669.0, 212.0], [667.0, 252.0], [381.0, 245.0]], ('NO70GJALAN SS21/62', 0.9230568408966064)], [[[425.0, 240.0], [628.0, 249.0], [626.0, 279.0], [424.0, 270.0]], ('DAMASARA UTAMA', 0.9693352580070496)], [[[236.0, 306.0], [446.0, 319.0], [442.0, 373.0], [232.0, 359.0]], ('Table 7', 0.9243168234825134)], [[[231.0, 386.0], [480.0, 399.0], [478.0, 432.0], [230.0, 419.0]], ('Check#100759', 0.9933730959892273)], [[[615.0, 405.0], [753.0, 387.0], [758.0, 423.0], [620.0, 441.0]], ('Paxs3', 0.9895535707473755)], [[[229.0, 421.0], [657.0, 437.0], [655.0, 472.0], [228.0, 456.0]], ('Date07-03-2014 19:17:56', 0.9413300156593323)], [[[228.0, 455.0], [466.0, 464.0], [464.0, 497.0], [226.0, 488.0]], ('Cashier:ESTHER', 0.960732638835907)], [[[304.0, 521.0], [694.0, 527.0], [693.0, 567.0], [303.0, 562.0]], ('D1 Khoo Neeo Mamuang ', 0.9545081257820129)], [[[759.0, 512.0], [843.0, 499.0], [849.0, 535.0], [765.0, 548.0]], ('12.00', 0.9959665536880493)], [[[230.0, 527.0], [247.0, 527.0], [247.0, 552.0], [230.0, 552.0]], ('1', 0.9885187745094299)], [[[225.0, 555.0], [247.0, 555.0], [247.0, 583.0], [225.0, 583.0]], ('1', 0.9917957186698914)], [[[306.0, 555.0], [650.0, 565.0], [649.0, 599.0], [305.0, 588.0]], ('M2 Green Curry', 0.93497234582901)], [[[765.0, 546.0], [845.0, 535.0], [849.0, 567.0], [769.0, 578.0]], ('16.00', 0.9958089590072632)], [[[223.0, 585.0], [245.0, 585.0], [245.0, 615.0], [223.0, 615.0]], ('3', 0.9986724853515625)], [[[777.0, 576.0], [850.0, 565.0], [855.0, 597.0], [782.0, 608.0]], ('7.50', 0.9973819255828857)], [[[306.0, 586.0], [652.0, 597.0], [650.0, 632.0], [305.0, 621.0]], ('M24 Jasmine Rice', 0.9536813497543335)], [[[769.0, 606.0], [855.0, 597.0], [859.0, 634.0], [773.0, 643.0]], ('16.00', 0.9968900680541992)], [[[223.0, 617.0], [244.0, 617.0], [244.0, 647.0], [223.0, 647.0]], ('1', 0.9878275394439697)], [[[304.0, 620.0], [594.0, 629.0], [592.0, 662.0], [303.0, 653.0]], ('M4 Tom Yum', 0.8650494813919067)], [[[222.0, 650.0], [242.0, 650.0], [242.0, 683.0], [222.0, 683.0]], ('1', 0.9683620929718018)], [[[306.0, 653.0], [686.0, 662.0], [685.0, 697.0], [305.0, 688.0]], ('N24 Be lacan Kangkung', 0.9106349349021912)], [[[759.0, 644.0], [843.0, 632.0], [848.0, 664.0], [764.0, 676.0]], ('10.00', 0.9966737031936646)], [[[789.0, 671.0], [865.0, 662.0], [869.0, 699.0], [794.0, 708.0]], ('8.00', 0.9980911016464233)], [[[222.0, 688.0], [242.0, 688.0], [242.0, 717.0], [222.0, 717.0]], ('1', 0.9906410574913025)], [[[306.0, 688.0], [674.0, 697.0], [673.0, 730.0], [305.0, 721.0]], ('N6 Thai Omelet t', 0.9122563600540161)], [[[782.0, 741.0], [873.0, 730.0], [878.0, 769.0], [787.0, 780.0]], ('69.50', 0.995159924030304)], [[[217.0, 755.0], [391.0, 759.0], [390.0, 794.0], [216.0, 790.0]], ('Subtotal:', 0.9576559066772461)], [[[802.0, 774.0], [877.0, 767.0], [881.0, 807.0], [805.0, 814.0]], ('6.95', 0.9957190752029419)], [[[215.0, 793.0], [535.0, 799.0], [535.0, 834.0], [215.0, 828.0]], ('Serv.Charge 10%', 0.957185685634613)], [[[212.0, 866.0], [420.0, 870.0], [418.0, 937.0], [211.0, 933.0]], ('TOTAL:', 0.9764092564582825)], [[[710.0, 859.0], [888.0, 841.0], [895.0, 915.0], [718.0, 932.0]], ('76.45', 0.9948997497558594)], [[[203.0, 974.0], [373.0, 970.0], [374.0, 1011.0], [204.0, 1015.0]], ('Closed:1', 0.9593176245689392)], [[[539.0, 972.0], [866.0, 951.0], [868.0, 992.0], [542.0, 1014.0]], ('07-03-2014 20:09:10', 0.9455710053443909)], [[[203.0, 1015.0], [479.0, 1011.0], [479.0, 1052.0], [203.0, 1055.0]], ('Server:ESTHER', 0.9588750600814819)], [[[819.0, 1073.0], [918.0, 1066.0], [921.0, 1111.0], [822.0, 1118.0]], ('80.00', 0.9957572817802429)], [[[199.0, 1100.0], [317.0, 1100.0], [317.0, 1143.0], [199.0, 1143.0]], ('CASH:', 0.9160931706428528)], [[[840.0, 1116.0], [925.0, 1111.0], [928.0, 1156.0], [842.0, 1161.0]], ('3.55', 0.9938181638717651)], [[[194.0, 1146.0], [352.0, 1139.0], [353.0, 1186.0], [196.0, 1192.0]], ('CHANGE:', 0.9591735005378723)], [[[386.0, 1277.0], [735.0, 1263.0], [737.0, 1306.0], [388.0, 1321.0]], ('* Thank You **', 0.9659130573272705)], [[[422.0, 1327.0], [740.0, 1315.0], [742.0, 1355.0], [424.0, 1367.0]], ('Please Come Again', 0.9574835300445557)]]	{"store_name": "BUATHAICUISINEBISTRO", "store_addr": "NO:70G,JALANSS21/62 DAMASARAUTAMA 47400PETALINGJAYASELANGOR", "telephone": "", "date": "07-03-2014 07-03-2014", "time": "20:09:10", "subtotal": "69.50", "tax": "", "total": "76.45", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "D1KhooNeeoMamuang", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "M2GreenCurry", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "M24JasmineRice", "item_value": "7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "M4TomYum", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "N24BelacanKangkung", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "N6ThaiOmelet", "item_value": "8.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[206.0, 0.0], [300.0, 2.0], [300.0, 17.0], [206.0, 15.0]], ('03446920285', 0.9923353791236877)], [[[123.0, 29.0], [214.0, 29.0], [214.0, 43.0], [123.0, 43.0]], ('10100 THOMAS.D', 0.8819077610969543)], [[[106.0, 58.0], [160.0, 58.0], [160.0, 75.0], [106.0, 75.0]], ('Tb133/1', 0.9319154024124146)], [[[209.0, 57.0], [274.0, 59.0], [274.0, 78.0], [209.0, 75.0]], ('Chk 8377', 0.9280365109443665)], [[[349.0, 63.0], [406.0, 67.0], [405.0, 86.0], [348.0, 82.0]], ('Gst 4', 0.9299958944320679)], [[[185.0, 73.0], [293.0, 78.0], [292.0, 96.0], [185.0, 91.0]], ('31Jan18 18:45', 0.9393905997276306)], [[[105.0, 105.0], [277.0, 113.0], [277.0, 130.0], [104.0, 122.0]], ('2 Endless Choice @ 12.99', 0.899233877658844)], [[[101.0, 122.0], [228.0, 129.0], [227.0, 146.0], [100.0, 139.0]], ('9 RF Endless Choic', 0.9449692964553833)], [[[325.0, 113.0], [372.0, 117.0], [371.0, 136.0], [323.0, 132.0]], ('25.98', 0.9880857467651367)], [[[98.0, 139.0], [187.0, 145.0], [186.0, 162.0], [97.0, 156.0]], ('1 12oz Ribeye', 0.9290161728858948)], [[[328.0, 133.0], [369.0, 137.0], [367.0, 156.0], [326.0, 152.0]], ('0.00', 0.9947534203529358)], [[[93.0, 155.0], [163.0, 161.0], [162.0, 179.0], [92.0, 173.0]], ('1 NY Strip', 0.9357336759567261)], [[[318.0, 152.0], [366.0, 156.0], [365.0, 174.0], [317.0, 170.0]], ('18.99', 0.9950429201126099)], [[[114.0, 173.0], [201.0, 181.0], [200.0, 199.0], [112.0, 191.0]], ('Sa1 LF Balsm', 0.8306231498718262)], [[[315.0, 171.0], [363.0, 175.0], [362.0, 194.0], [314.0, 190.0]], ('16.99', 0.9928339719772339)], [[[84.0, 189.0], [244.0, 206.0], [242.0, 224.0], [82.0, 206.0]], ('3 ULT LongIs1 T@ 8.60', 0.8761699199676514)], [[[78.0, 206.0], [257.0, 229.0], [255.0, 247.0], [76.0, 224.0]], ('2 ULT Mojita Luk7 @9.60', 0.8820934891700745)], [[[307.0, 210.0], [359.0, 217.0], [356.0, 239.0], [304.0, 232.0]], ('25.80', 0.9927865862846375)], [[[58.0, 241.0], [149.0, 255.0], [146.0, 273.0], [55.0, 259.0]], ('20:57 Balance', 0.9343448281288147)], [[[306.0, 232.0], [356.0, 238.0], [354.0, 260.0], [304.0, 255.0]], ('19.20', 0.9880377650260925)], [[[243.0, 268.0], [347.0, 282.0], [344.0, 303.0], [240.0, 289.0]], ('106.96', 0.9915642738342285)], [[[106.0, 316.0], [269.0, 345.0], [265.0, 364.0], [103.0, 335.0]], ('1932008377657', 0.9940778017044067)], [[[51.0, 359.0], [320.0, 419.0], [315.0, 440.0], [46.0, 380.0]], ('DOWNLOAD TGI FRIDAYS UK APP ', 0.9307423233985901)], [[[56.0, 383.0], [250.0, 427.0], [246.0, 448.0], [51.0, 404.0]], ('OPEN YOUR APP AND SCAN', 0.9474567174911499)], [[[32.0, 401.0], [150.0, 427.0], [146.0, 447.0], [27.0, 421.0]], ('BARCODE TO PIA', 0.8895769715309143)], [[[49.0, 435.0], [70.0, 435.0], [70.0, 446.0], [49.0, 446.0]], ('MA7', 0.7965468764305115)]]	{"store_name": "", "store_addr": "", "telephone": "03446920285", "date": "31Jan'18", "time": "20:57", "subtotal": "", "tax": "", "total": "106.96", "ignore": "1932008377657 ", "tips": "", "line_items": [{"item_key": "", "item_name": "[email protected]", "item_value": "25.98", "item_quantity": "1"}, {"item_key": "", "item_name": "RFEndlessChoic", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "12ozRibeye", "item_value": "18.99", "item_quantity": "1"}, {"item_key": "", "item_name": "NYStrip", "item_value": "16.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SalLFBalsm", "item_value": "25.80", "item_quantity": "1"}, {"item_key": "", "item_name": "[email protected]", "item_value": "19.20", "item_quantity": "1"}, {"item_key": "", "item_name": "[email protected]", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[9.0, 15.0], [310.0, 25.0], [309.0, 46.0], [8.0, 36.0]], ('CAJA:CAJA 1FACTURADOR:JOSE', 0.9422460198402405)], [[[9.0, 36.0], [261.0, 45.0], [261.0, 70.0], [8.0, 60.0]], ('FECHA:03-05-2018 08:13PM', 0.9470136761665344)], [[[35.0, 87.0], [181.0, 90.0], [181.0, 114.0], [35.0, 111.0]], ('NT.DESCRIPCION', 0.9807314872741699)], [[[277.0, 95.0], [387.0, 98.0], [386.0, 122.0], [276.0, 119.0]], ('MONTO TOTAL', 0.9709929823875427)], [[[65.0, 138.0], [258.0, 146.0], [258.0, 167.0], [64.0, 159.0]], ('JUGO NARANJA 2PINOS', 0.9462340474128723)], [[[308.0, 146.0], [407.0, 150.0], [406.0, 172.0], [307.0, 169.0]], ('1,050.00G', 0.9395392537117004)], [[[6.0, 165.0], [53.0, 165.0], [53.0, 184.0], [6.0, 184.0]], ('1.00', 0.9778167605400085)], [[[61.0, 163.0], [138.0, 167.0], [137.0, 189.0], [60.0, 186.0]], ('MANZANA', 0.9963268637657166)], [[[326.0, 171.0], [407.0, 175.0], [406.0, 197.0], [325.0, 194.0]], ('700.00 G', 0.9288986325263977)], [[[4.0, 186.0], [247.0, 194.0], [247.0, 218.0], [3.0, 210.0]], ('1.00 NABISCO CHIPS AHOY', 0.943996250629425)], [[[324.0, 197.0], [408.0, 199.0], [407.0, 219.0], [323.0, 217.0]], ('950.00 G', 0.9216246008872986)], [[[2.0, 213.0], [54.0, 213.0], [54.0, 235.0], [2.0, 235.0]], ('1.00', 0.9953069686889648)], [[[62.0, 215.0], [256.0, 220.0], [256.0, 241.0], [61.0, 236.0]], ('QUEQUE JUNIOR VAINI', 0.9629510641098022)], [[[304.0, 220.0], [410.0, 222.0], [410.0, 243.0], [303.0, 241.0]], ('1325.00G', 0.9917463064193726)], [[[0.0, 263.0], [102.0, 266.0], [101.0, 287.0], [0.0, 284.0]], ('DESCUENTO:', 0.98467618227005)], [[[363.0, 270.0], [409.0, 270.0], [409.0, 293.0], [363.0, 293.0]], ('0.00', 0.9959661960601807)], [[[0.0, 287.0], [102.0, 292.0], [101.0, 316.0], [0.0, 311.0]], ('IMPUESTOS:', 0.9910845756530762)], [[[347.0, 296.0], [407.0, 296.0], [407.0, 318.0], [347.0, 318.0]], ('463.05', 0.9849802851676941)], [[[0.0, 313.0], [60.0, 316.0], [59.0, 341.0], [0.0, 338.0]], ('TOTAL:', 0.9792703986167908)], [[[254.0, 320.0], [336.0, 320.0], [336.0, 345.0], [254.0, 345.0]], ('4,025.00', 0.9224183559417725)], [[[0.0, 339.0], [141.0, 346.0], [140.0, 370.0], [0.0, 363.0]], ('AGO EFECTIVO:', 0.9451709389686584)], [[[315.0, 347.0], [409.0, 347.0], [409.0, 371.0], [315.0, 371.0]], ('10,000.00', 0.9693429470062256)], [[[0.0, 369.0], [66.0, 369.0], [66.0, 394.0], [0.0, 394.0]], ('UELTO:', 0.974693775177002)], [[[322.0, 371.0], [409.0, 374.0], [408.0, 398.0], [321.0, 396.0]], ('5,975.00', 0.9758642911911011)], [[[12.0, 423.0], [412.0, 426.0], [412.0, 447.0], [12.0, 444.0]], ('G=GRAVADOE=EXENTO*=PROMOCION', 0.9789283871650696)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "03-05-2018", "time": "0.8:13PM", "subtotal": "", "tax": "", "total": "4,025.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "JUGONARANJA2PINOS", "item_value": "1,050.00G", "item_quantity": "1"}, {"item_key": "", "item_name": "MANZANA", "item_value": "700.00G", "item_quantity": "1"}, {"item_key": "", "item_name": "NABISCOCHIPSAHOY", "item_value": "950.00G", "item_quantity": "1"}, {"item_key": "", "item_name": "QUEQUEJUNIORVAINI", "item_value": "1,325.00G", "item_quantity": "1"}, {"item_key": "DESCRIPCION", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[130.0, 53.0], [286.0, 53.0], [286.0, 68.0], [130.0, 68.0]], ('WELCOME TO', 0.9530064463615417)], [[[127.0, 69.0], [271.0, 68.0], [271.0, 82.0], [127.0, 83.0]], ('OUR STOFE', 0.913189172744751)], [[[126.0, 84.0], [351.0, 82.0], [351.0, 97.0], [126.0, 99.0]], ('T242223147-001LUK0IL69709', 0.8954443335533142)], [[[125.0, 100.0], [271.0, 100.0], [271.0, 114.0], [125.0, 114.0]], ('152E MAPLE AVENUE', 0.8586983680725098)], [[[123.0, 117.0], [203.0, 117.0], [203.0, 130.0], [123.0, 130.0]], ('.ANGHORNE', 0.9289067387580872)], [[[224.0, 117.0], [295.0, 117.0], [295.0, 128.0], [224.0, 128.0]], ('19047', 0.9739724397659302)], [[[117.0, 131.0], [443.0, 120.0], [444.0, 152.0], [119.0, 163.0]], ('Date Canceled on him', 0.8613764047622681)], [[[138.0, 165.0], [192.0, 168.0], [191.0, 186.0], [137.0, 184.0]], ('Descr.', 0.8655684590339661)], [[[301.0, 163.0], [332.0, 163.0], [332.0, 183.0], [301.0, 183.0]], ('cty', 0.9853780269622803)], [[[406.0, 162.0], [460.0, 158.0], [461.0, 176.0], [407.0, 180.0]], ('anount', 0.9381413459777832)], [[[175.0, 202.0], [347.0, 197.0], [348.0, 218.0], [175.0, 222.0]], ('REFUN', 0.9851910471916199)], [[[348.0, 199.0], [376.0, 199.0], [376.0, 216.0], [348.0, 216.0]], ('D', 0.9093088507652283)], [[[321.0, 219.0], [338.0, 219.0], [338.0, 237.0], [321.0, 237.0]], ('1', 0.9577897191047668)], [[[422.0, 215.0], [470.0, 215.0], [470.0, 233.0], [422.0, 233.0]], ('-3.59', 0.9589484930038452)], [[[103.0, 225.0], [278.0, 221.0], [278.0, 238.0], [104.0, 243.0]], ('TR TROJAN ULTRA THN', 0.8822923898696899)], [[[266.0, 260.0], [350.0, 259.0], [350.0, 277.0], [266.0, 278.0]], ('Sub Total', 0.9354442954063416)], [[[426.0, 256.0], [476.0, 256.0], [476.0, 274.0], [426.0, 274.0]], ('-3.59', 0.9593093991279602)], [[[322.0, 278.0], [357.0, 281.0], [355.0, 300.0], [320.0, 297.0]], ('Tax', 0.9906720519065857)], [[[429.0, 277.0], [478.0, 277.0], [478.0, 297.0], [429.0, 297.0]], ('202-', 0.5999295711517334)], [[[209.0, 304.0], [305.0, 302.0], [306.0, 322.0], [210.0, 325.0]], ('TOTAL', 0.9965916872024536)], [[[389.0, 300.0], [478.0, 300.0], [478.0, 318.0], [389.0, 318.0]], ('-3.81', 0.8969243168830872)], [[[314.0, 324.0], [389.0, 321.0], [389.0, 343.0], [314.0, 345.0]], ('CASH $', 0.928617000579834)], [[[432.0, 322.0], [486.0, 322.0], [486.0, 343.0], [432.0, 343.0]], ('138-', 0.611090362071991)], [[[84.0, 355.0], [365.0, 347.0], [366.0, 368.0], [85.0, 375.0]], ('THANK YOU PLE4SE COME AGAIN!', 0.8763952851295471)], [[[102.0, 379.0], [361.0, 373.0], [362.0, 393.0], [103.0, 400.0]], ('EG# 0003 CS002 DF01', 0.8552777171134949)], [[[374.0, 372.0], [491.0, 370.0], [492.0, 390.0], [374.0, 393.0]], ('TRAN#33469', 0.9807333946228027)], [[[98.0, 406.0], [285.0, 400.0], [286.0, 421.0], [99.0, 427.0]], ('03/22/15 03:31:25', 0.9401340484619141)], [[[399.0, 398.0], [494.0, 395.0], [495.0, 417.0], [399.0, 419.0]], ('ST#69709', 0.9852680563926697)]]	{"store_name": "", "store_addr": "152EMAPLEAVENUE LANGHORNE", "telephone": "42223147-001", "date": "03/22/15", "time": "09:31:25", "subtotal": "-3.59", "tax": "-0.22", "total": "-3.81", "ignore": " ", "tips": "", "line_items": [{"item_key": "Descr.", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[167.0, 13.0], [355.0, 21.0], [354.0, 43.0], [166.0, 35.0]], ('Haveli Restaurant', 0.9706242680549622)], [[[161.0, 37.0], [367.0, 45.0], [366.0, 67.0], [160.0, 59.0]], ('1900 Canterbury Red', 0.9436774253845215)], [[[178.0, 60.0], [346.0, 67.0], [346.0, 88.0], [177.0, 81.0]], ('SacramentoCA', 0.9950563311576843)], [[[161.0, 80.0], [364.0, 89.0], [363.0, 111.0], [160.0, 102.0]], ('United States,95815', 0.9507940411567688)], [[[175.0, 103.0], [347.0, 112.0], [346.0, 130.0], [174.0, 122.0]], ('Tel916-333-1186', 0.9891363978385925)], [[[113.0, 123.0], [410.0, 134.0], [410.0, 155.0], [112.0, 145.0]], ('PrintedJuly 9,2016 at9:43 PM', 0.9183717370033264)], [[[41.0, 171.0], [256.0, 171.0], [256.0, 193.0], [41.0, 193.0]], ('July 9,2016 at 9:43 PM', 0.8857638835906982)], [[[365.0, 177.0], [487.0, 180.0], [486.0, 202.0], [364.0, 199.0]], ('Order#976', 0.9815697073936462)], [[[40.0, 190.0], [310.0, 197.0], [310.0, 222.0], [39.0, 215.0]], ('TableF3Family)6 guests', 0.9593288898468018)], [[[374.0, 202.0], [486.0, 205.0], [485.0, 227.0], [374.0, 224.0]], ('Waiter:Adil', 0.9457917809486389)], [[[40.0, 215.0], [287.0, 221.0], [287.0, 245.0], [39.0, 239.0]], ('Sales Tax#R0123456789', 0.9810614585876465)], [[[37.0, 270.0], [86.0, 270.0], [86.0, 290.0], [37.0, 290.0]], ('Lassi', 0.9963825941085815)], [[[422.0, 279.0], [477.0, 279.0], [477.0, 302.0], [422.0, 302.0]], ('$2.99', 0.9475284814834595)], [[[55.0, 289.0], [203.0, 296.0], [202.0, 318.0], [54.0, 311.0]], ('+$2.99Mango', 0.9912742376327515)], [[[37.0, 311.0], [88.0, 315.0], [87.0, 335.0], [36.0, 331.0]], ('Soda', 0.9980681538581848)], [[[418.0, 322.0], [473.0, 322.0], [473.0, 345.0], [418.0, 345.0]], ('$1.99', 0.9979329109191895)], [[[37.0, 333.0], [198.0, 339.0], [197.0, 360.0], [36.0, 354.0]], ('Tandoori Paratha', 0.9594455361366272)], [[[416.0, 342.0], [472.0, 345.0], [471.0, 367.0], [415.0, 364.0]], ('$2.99', 0.9970258474349976)], [[[39.0, 357.0], [266.0, 364.0], [265.0, 381.0], [38.0, 375.0]], ('2 x Butter Tandoori Naan', 0.9091010093688965)], [[[415.0, 363.0], [471.0, 366.0], [470.0, 388.0], [414.0, 385.0]], ('$3.00', 0.9973535537719727)], [[[39.0, 378.0], [270.0, 385.0], [269.0, 402.0], [38.0, 396.0]], ('2 x Chicken Tikka Masala', 0.924678385257721)], [[[403.0, 385.0], [468.0, 388.0], [467.0, 408.0], [403.0, 405.0]], ('$19.98', 0.9972192645072937)], [[[41.0, 399.0], [182.0, 402.0], [182.0, 421.0], [40.0, 418.0]], ('Chicken Karahi', 0.9667752385139465)], [[[402.0, 404.0], [467.0, 406.0], [466.0, 428.0], [402.0, 426.0]], ('$18.99', 0.9947289824485779)], [[[60.0, 422.0], [204.0, 422.0], [204.0, 440.0], [60.0, 440.0]], ('+$18.99HALF', 0.9885416626930237)], [[[41.0, 438.0], [350.0, 445.0], [350.0, 466.0], [40.0, 459.0]], ('Haveli Mix GrillPlater (tamily Style', 0.928238034248352)], [[[399.0, 445.0], [482.0, 447.0], [481.0, 469.0], [399.0, 466.0]], ('$39.99', 0.996246337890625)], [[[42.0, 458.0], [196.0, 461.0], [196.0, 482.0], [41.0, 480.0]], ('ChiekerrSamosa', 0.8577000498771667)], [[[411.0, 466.0], [474.0, 469.0], [474.0, 489.0], [410.0, 486.0]], ('$4-99', 0.9002026319503784)], [[[43.0, 482.0], [142.0, 479.0], [143.0, 498.0], [44.0, 501.0]], ('Soda Retill', 0.8626890182495117)], [[[409.0, 485.0], [466.0, 488.0], [465.0, 510.0], [408.0, 507.0]], ('$0.99', 0.9942606687545776)], [[[59.0, 502.0], [187.0, 500.0], [187.0, 519.0], [59.0, 521.0]], ('+$0.99Adult', 0.9757022261619568)], [[[47.0, 522.0], [127.0, 521.0], [127.0, 540.0], [48.0, 541.0]], ('2xPaan', 0.9337955117225647)], [[[408.0, 525.0], [465.0, 529.0], [464.0, 550.0], [407.0, 546.0]], ('$4.00', 0.9933207631111145)], [[[272.0, 561.0], [364.0, 568.0], [362.0, 590.0], [270.0, 583.0]], ('Food Total', 0.9687797427177429)], [[[396.0, 568.0], [463.0, 573.0], [462.0, 596.0], [394.0, 591.0]], ('$99.91', 0.9944820404052734)], [[[279.0, 604.0], [364.0, 610.0], [363.0, 632.0], [277.0, 626.0]], ('Sub Total', 0.937758207321167)], [[[397.0, 612.0], [460.0, 617.0], [459.0, 639.0], [395.0, 634.0]], ('$99.91', 0.9966051578521729)], [[[277.0, 626.0], [363.0, 633.0], [362.0, 651.0], [275.0, 644.0]], ('Sales Tax', 0.9476029276847839)], [[[406.0, 633.0], [462.0, 637.0], [461.0, 659.0], [404.0, 655.0]], ('$8.49', 0.9933540225028992)], [[[314.0, 667.0], [365.0, 671.0], [363.0, 694.0], [312.0, 690.0]], ('Total', 0.9976956248283386)], [[[383.0, 672.0], [461.0, 679.0], [460.0, 700.0], [382.0, 694.0]], ('$108.40', 0.9952674508094788)], [[[203.0, 718.0], [297.0, 724.0], [296.0, 746.0], [202.0, 740.0]], ('Thank You', 0.9797855019569397)], [[[162.0, 737.0], [338.0, 747.0], [337.0, 769.0], [161.0, 759.0]], ('Please Come Again!', 0.9436449408531189)], [[[202.0, 775.0], [295.0, 781.0], [294.0, 801.0], [201.0, 795.0]], ('Tip Guide', 0.9456815719604492)], [[[75.0, 789.0], [170.0, 794.0], [169.0, 813.0], [74.0, 808.0]], ('10%=$9.99', 0.9857281446456909)], [[[190.0, 792.0], [429.0, 810.0], [428.0, 831.0], [189.0, 813.0]], ('15%=$14.9920%=$19.98', 0.9384223818778992)], [[[83.0, 821.0], [420.0, 846.0], [418.0, 868.0], [81.0, 843.0]], ('Printed trom iPad using TouchBistro Pro', 0.9200976490974426)]]	{"store_name": "HaveliRestaurant 1900CanterburyRed", "store_addr": "Sacramento,CA UnitedStates,95815", "telephone": "916-333-1186", "date": "July9,2016at July9,2016", "time": "at9:43PM 9:43PM", "subtotal": "$99.91", "tax": "$8.49", "total": "", "ignore": "", "tips": "10%=$9.99 15%=$14.99 20%=$19.98", "line_items": [{"item_key": "", "item_name": "Lassi", "item_value": "$2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "+$2.99:Mango", "item_value": "$1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Soda", "item_value": "$2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "TandooriParaiha", "item_value": "$3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ButterTandooriNaan", "item_value": "$19.98", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenTikkaMasala", "item_value": "$18.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenKarahi", "item_value": "$39.99", "item_quantity": "1"}, {"item_key": "", "item_name": "HaveliMixGrilLPlater(familyStyle)", "item_value": "$4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenSamosa", "item_value": "$0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SodaRefill", "item_value": "$4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Paan", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[96.0, 45.0], [142.0, 45.0], [142.0, 52.0], [96.0, 52.0]], ('75', 0.7759039402008057)], [[[90.0, 64.0], [150.0, 64.0], [150.0, 75.0], [90.0, 75.0]], ('ORDER26', 0.9843870997428894)], [[[93.0, 78.0], [158.0, 77.0], [158.0, 88.0], [93.0, 89.0]], ('DRIVE THRU', 0.9390928149223328)], [[[108.0, 150.0], [123.0, 150.0], [123.0, 157.0], [108.0, 157.0]], ('HANG', 0.8145048022270203)], [[[107.0, 221.0], [134.0, 221.0], [134.0, 228.0], [107.0, 228.0]], ('339499', 0.7389931082725525)], [[[122.0, 234.0], [161.0, 232.0], [161.0, 240.0], [122.0, 242.0]], ('YOUR REDUPO', 0.6861485838890076)]]	{"store_name": "BURGER KING", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "0.01", "tax": "0.98", "total": "10.05 10.05 10.05", "ignore": " ", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[7.0, 41.0], [516.0, 41.0], [516.0, 65.0], [7.0, 65.0]], ("There goes my N24,300..and I'm not even full", 0.920510470867157)], [[[178.0, 159.0], [298.0, 158.0], [299.0, 172.0], [178.0, 173.0]], ('The westin Detroit', 0.8930079340934753)], [[[172.0, 172.0], [305.0, 172.0], [305.0, 186.0], [172.0, 186.0]], ('Metropolitan Airport', 0.9420719146728516)], [[[197.0, 183.0], [276.0, 185.0], [276.0, 199.0], [196.0, 198.0]], ('Reflectlons', 0.9314895868301392)], [[[158.0, 196.0], [315.0, 196.0], [315.0, 213.0], [158.0, 213.0]], ('2501 wor ldgateway Place', 0.9274616837501526)], [[[177.0, 211.0], [295.0, 211.0], [295.0, 226.0], [177.0, 226.0]], ('Detroit,MI48242', 0.9293262958526611)], [[[198.0, 224.0], [282.0, 225.0], [282.0, 239.0], [198.0, 238.0]], ('734-229-6782', 0.9935675263404846)], [[[99.0, 236.0], [208.0, 237.0], [208.0, 255.0], [99.0, 254.0]], ('914150028M1les', 0.9370794296264648)], [[[97.0, 267.0], [163.0, 267.0], [163.0, 282.0], [97.0, 282.0]], ('CHK24207', 0.9954453706741333)], [[[203.0, 266.0], [263.0, 266.0], [263.0, 280.0], [203.0, 280.0]], ('TBL14/1', 0.9401217699050903)], [[[178.0, 280.0], [305.0, 280.0], [305.0, 295.0], [178.0, 295.0]], ('10/23/2016 8:57PM', 0.95351243019104)], [[[101.0, 309.0], [220.0, 309.0], [220.0, 323.0], [101.0, 323.0]], ('1Tomatoe Bisque', 0.9503785967826843)], [[[334.0, 306.0], [367.0, 306.0], [367.0, 322.0], [334.0, 322.0]], ('9.00', 0.9906342029571533)], [[[99.0, 323.0], [228.0, 323.0], [228.0, 336.0], [99.0, 336.0]], ('1 Seafood Ciopino', 0.909425675868988)], [[[330.0, 319.0], [369.0, 319.0], [369.0, 334.0], [330.0, 334.0]], ('42.00', 0.993932843208313)], [[[109.0, 345.0], [172.0, 345.0], [172.0, 360.0], [109.0, 360.0]], ('Subtotal', 0.9945958852767944)], [[[325.0, 345.0], [372.0, 345.0], [372.0, 361.0], [325.0, 361.0]], ('$51.00', 0.9973060488700867)], [[[108.0, 362.0], [150.0, 362.0], [150.0, 377.0], [108.0, 377.0]], ('Taxes', 0.997675895690918)], [[[334.0, 361.0], [373.0, 361.0], [373.0, 376.0], [334.0, 376.0]], ('$3.06', 0.9978949427604675)], [[[85.0, 380.0], [162.0, 380.0], [162.0, 397.0], [85.0, 397.0]], ('Total', 0.9971140623092651)], [[[175.0, 377.0], [227.0, 380.0], [226.0, 398.0], [174.0, 396.0]], ('Due', 0.9977026581764221)], [[[303.0, 376.0], [396.0, 376.0], [396.0, 394.0], [303.0, 394.0]], ('$54.06', 0.9935610294342041)], [[[120.0, 435.0], [194.0, 435.0], [194.0, 454.0], [120.0, 454.0]], ('GRATUITY:', 0.988530158996582)], [[[124.0, 472.0], [179.0, 472.0], [179.0, 494.0], [124.0, 494.0]], ('TOTAL:', 0.9876847863197327)], [[[123.0, 514.0], [176.0, 514.0], [176.0, 527.0], [123.0, 527.0]], ('ROOM#', 0.8419734835624695)]]	{"store_name": "ThewestinDetroit MetropolitanAirport Reflections", "store_addr": "2501worldoatewayPlace Detroit,MI48242", "telephone": "734-229-6782", "date": "10/23/2016", "time": "8:57PM", "subtotal": "$51.00", "tax": "$3.06", "total": "$54.06", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "TomatoeBisque", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SeafoodCiopino", "item_value": "42.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[106.0, 90.0], [151.0, 90.0], [151.0, 101.0], [106.0, 101.0]], ('BUVETTE', 0.9909158945083618)], [[[60.0, 101.0], [195.0, 101.0], [195.0, 116.0], [60.0, 116.0]], ('LESCLAVETS', 0.9962312579154968)], [[[86.0, 113.0], [172.0, 115.0], [171.0, 129.0], [86.0, 128.0]], ('1874CHAMPERY', 0.9929900169372559)], [[[11.0, 163.0], [44.0, 163.0], [44.0, 178.0], [11.0, 178.0]], ('#0001', 0.9969269633293152)], [[[86.0, 163.0], [140.0, 165.0], [139.0, 180.0], [85.0, 178.0]], ('Caisse 1', 0.951462984085083)], [[[175.0, 166.0], [239.0, 166.0], [239.0, 177.0], [175.0, 177.0]], ('06-03-2015', 0.9898855090141296)], [[[28.0, 187.0], [77.0, 189.0], [76.0, 204.0], [27.0, 202.0]], ('FACTURE', 0.9925301671028137)], [[[186.0, 187.0], [223.0, 187.0], [223.0, 205.0], [186.0, 205.0]], ('10514', 0.996684193611145)], [[[87.0, 214.0], [164.0, 214.0], [164.0, 228.0], [87.0, 228.0]], ('Table 140', 0.8672198057174683)], [[[12.0, 239.0], [76.0, 239.0], [76.0, 250.0], [12.0, 250.0]], ('2MIJOTER', 0.9055486917495728)], [[[200.0, 238.0], [244.0, 238.0], [244.0, 252.0], [200.0, 252.0]], ('56.00', 0.9915692210197449)], [[[10.0, 249.0], [100.0, 250.0], [100.0, 264.0], [10.0, 263.0]], ('2TARTIFLETTE', 0.9786407947540283)], [[[200.0, 252.0], [241.0, 252.0], [241.0, 263.0], [200.0, 263.0]], ('58.00', 0.9265139102935791)], [[[10.0, 262.0], [77.0, 264.0], [76.0, 278.0], [10.0, 276.0]], ('Sous tota', 0.9413295388221741)], [[[194.0, 263.0], [242.0, 263.0], [242.0, 277.0], [194.0, 277.0]], ('+114.00', 0.9560471773147583)], [[[11.0, 276.0], [59.0, 276.0], [59.0, 290.0], [11.0, 290.0]], ('TVA8%', 0.9197620153427124)], [[[205.0, 276.0], [241.0, 276.0], [241.0, 290.0], [205.0, 290.0]], ('8.44', 0.9825214147567749)], [[[11.0, 301.0], [95.0, 301.0], [95.0, 326.0], [11.0, 326.0]], ('TOTAL ESPECES', 0.9105957746505737)], [[[150.0, 303.0], [239.0, 303.0], [239.0, 324.0], [150.0, 324.0]], ('114.00', 0.9919753074645996)], [[[18.0, 328.0], [33.0, 328.0], [33.0, 339.0], [18.0, 339.0]], ('E', 0.9814081788063049)], [[[194.0, 325.0], [240.0, 325.0], [240.0, 341.0], [194.0, 341.0]], ('114.00', 0.9211521744728088)], [[[12.0, 339.0], [94.0, 339.0], [94.0, 353.0], [12.0, 353.0]], ('Total en Euro', 0.9189832210540771)], [[[194.0, 339.0], [241.0, 339.0], [241.0, 353.0], [194.0, 353.0]], ('*114.00', 0.9348068237304688)], [[[12.0, 364.0], [201.0, 364.0], [201.0, 377.0], [12.0, 377.0]], ('TVANOCHE-252.314.760INCLUSE', 0.959421694278717)], [[[11.0, 388.0], [239.0, 388.0], [239.0, 402.0], [11.0, 402.0]], ('NOUS VOUS REMERCIONS DE VOTRE VISITE', 0.9472261071205139)], [[[112.0, 403.0], [153.0, 403.0], [153.0, 414.0], [112.0, 414.0]], ('ADRIEN', 0.9978756904602051)], [[[10.0, 425.0], [40.0, 425.0], [40.0, 441.0], [10.0, 441.0]], ('AD-2', 0.9881017208099365)], [[[98.0, 425.0], [153.0, 425.0], [153.0, 442.0], [98.0, 442.0]], ('00022973', 0.9968981146812439)], [[[205.0, 424.0], [242.0, 424.0], [242.0, 442.0], [205.0, 442.0]], ('13:50', 0.9639362096786499)]]	{"store_name": "BUVETTE LESCLAVETS", "store_addr": "", "telephone": "", "date": "06-03-2015", "time": "13:50", "subtotal": "114.00", "tax": "8.44", "total": "114.00 114.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "MIJOTER", "item_value": "56.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TARTIFLETTE", "item_value": "58.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[113.0, 35.0], [191.0, 39.0], [190.0, 58.0], [112.0, 53.0]], ('Bo1lyuood', 0.8266568183898926)], [[[79.0, 51.0], [226.0, 60.0], [225.0, 77.0], [78.0, 68.0]], ('Indian Restaurant', 0.9708404541015625)], [[[74.0, 68.0], [232.0, 77.0], [231.0, 91.0], [74.0, 82.0]], ('Lange Leidsedwarsstraat 108', 0.9722045063972473)], [[[104.0, 81.0], [205.0, 88.0], [204.0, 102.0], [103.0, 95.0]], ('1017 NN Amsterdam', 0.9518009424209595)], [[[27.0, 102.0], [89.0, 106.0], [88.0, 123.0], [26.0, 119.0]], ('Tafel #14', 0.9004914164543152)], [[[24.0, 144.0], [83.0, 148.0], [82.0, 163.0], [23.0, 159.0]], ('1 x Lassi', 0.879514217376709)], [[[22.0, 157.0], [133.0, 162.0], [132.0, 179.0], [21.0, 175.0]], ('1x Jupiler Large', 0.9198848605155945)], [[[250.0, 154.0], [278.0, 154.0], [278.0, 169.0], [250.0, 169.0]], ('3,50', 0.9529327154159546)], [[[19.0, 176.0], [88.0, 176.0], [88.0, 190.0], [19.0, 190.0]], ('1x Goa CT', 0.8465367555618286)], [[[251.0, 167.0], [279.0, 167.0], [279.0, 182.0], [251.0, 182.0]], ('5,50', 0.9510563611984253)], [[[17.0, 189.0], [151.0, 192.0], [151.0, 206.0], [17.0, 203.0]], ('1x Chicken Vinda loo', 0.9240297079086304)], [[[251.0, 181.0], [280.0, 181.0], [280.0, 196.0], [251.0, 196.0]], ('8,50', 0.9454993009567261)], [[[17.0, 204.0], [119.0, 207.0], [119.0, 221.0], [16.0, 218.0]], ('1 x Fish Madras', 0.9127030968666077)], [[[249.0, 195.0], [281.0, 195.0], [281.0, 210.0], [249.0, 210.0]], ('17,00', 0.9591799974441528)], [[[15.0, 217.0], [73.0, 220.0], [72.0, 237.0], [14.0, 234.0]], ('1x Naan', 0.9109949469566345)], [[[250.0, 209.0], [284.0, 209.0], [284.0, 224.0], [250.0, 224.0]], ('18,00', 0.9442577362060547)], [[[256.0, 224.0], [286.0, 224.0], [286.0, 240.0], [256.0, 240.0]], ('2,50', 0.9776391386985779)], [[[10.0, 251.0], [74.0, 251.0], [74.0, 273.0], [10.0, 273.0]], ('Totaal', 0.9919144511222839)], [[[232.0, 253.0], [285.0, 253.0], [285.0, 275.0], [232.0, 275.0]], ('55,00', 0.9230951070785522)], [[[5.0, 272.0], [67.0, 274.0], [67.0, 293.0], [5.0, 290.0]], ('Btw laag', 0.934314489364624)], [[[221.0, 274.0], [253.0, 274.0], [253.0, 293.0], [221.0, 293.0]], ('2,32', 0.974960446357727)], [[[3.0, 290.0], [66.0, 292.0], [65.0, 311.0], [3.0, 308.0]], ('Btw hoog', 0.9447531700134277)], [[[222.0, 291.0], [254.0, 291.0], [254.0, 310.0], [222.0, 310.0]], ('2,43', 0.9165631532669067)], [[[2.0, 311.0], [81.0, 311.0], [81.0, 332.0], [2.0, 332.0]], ('Contant', 0.9984679222106934)], [[[236.0, 308.0], [293.0, 308.0], [293.0, 333.0], [236.0, 333.0]], ('55,00', 0.948040783405304)], [[[0.0, 336.0], [192.0, 334.0], [192.0, 353.0], [0.0, 354.0]], ('20:13 22/03/17 1 Bo11ywood', 0.9053432941436768)], [[[293.0, 335.0], [304.0, 332.0], [308.0, 350.0], [298.0, 353.0]], ('5', 0.9505439400672913)], [[[0.0, 357.0], [53.0, 357.0], [53.0, 375.0], [0.0, 375.0]], ('assa 1', 0.9155405163764954)], [[[78.0, 395.0], [231.0, 395.0], [231.0, 412.0], [78.0, 412.0]], ('Bedankt en tot ziens', 0.9281948208808899)], [[[34.0, 417.0], [270.0, 413.0], [270.0, 433.0], [35.0, 437.0]], ('U bent geho lpen door Bollywood', 0.9272559285163879)]]	{"store_name": "Bollywood IndianRestaurant", "store_addr": "LangeLeidsedwarsstraat108 1017NNAmsterdam", "telephone": "", "date": "22/03/17", "time": "20:13", "subtotal": "55,00", "tax": "2,32 2,43", "total": "55,00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Lassi", "item_value": "3,50", "item_quantity": "1"}, {"item_key": "", "item_name": "JupilerLarge", "item_value": "5,50", "item_quantity": "1"}, {"item_key": "", "item_name": "GoaCT", "item_value": "8,50", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenVindaloo", "item_value": "17,00", "item_quantity": "1"}, {"item_key": "", "item_name": "FishMadras", "item_value": "18,00", "item_quantity": "1"}, {"item_key": "", "item_name": "Naan", "item_value": "2,50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[45.0, 159.0], [164.0, 159.0], [164.0, 169.0], [45.0, 169.0]], ('DARTMOUTH SDOKSTORE.INC', 0.8893064260482788)], [[[54.0, 168.0], [153.0, 168.0], [153.0, 181.0], [54.0, 181.0]], ('33 SQUTH MAIN STREET', 0.8725981712341309)], [[[59.0, 178.0], [150.0, 178.0], [150.0, 190.0], [59.0, 190.0]], ('HANOVER.H03755', 0.8712593913078308)], [[[73.0, 188.0], [134.0, 188.0], [134.0, 199.0], [73.0, 199.0]], ('603-643-3616', 0.9767718315124512)], [[[16.0, 207.0], [35.0, 207.0], [35.0, 219.0], [16.0, 219.0]], ('QTY', 0.9191052913665771)], [[[63.0, 207.0], [100.0, 207.0], [100.0, 218.0], [63.0, 218.0]], ('PRODUCT', 0.9159135818481445)], [[[134.0, 206.0], [157.0, 206.0], [157.0, 218.0], [134.0, 218.0]], ('DEPT', 0.9797099828720093)], [[[173.0, 205.0], [200.0, 208.0], [199.0, 219.0], [171.0, 217.0]], ('PRICE', 0.9873625040054321)], [[[126.0, 227.0], [157.0, 227.0], [157.0, 238.0], [126.0, 238.0]], ('213100', 0.9968400001525879)], [[[168.0, 226.0], [197.0, 228.0], [196.0, 239.0], [167.0, 237.0]], ('35.00', 0.9612592458724976)], [[[186.0, 220.0], [197.0, 220.0], [197.0, 227.0], [186.0, 227.0]], ('.', 0.566850483417511)], [[[29.0, 230.0], [35.0, 230.0], [35.0, 235.0], [29.0, 235.0]], ('1', 0.6359492540359497)], [[[55.0, 238.0], [119.0, 238.0], [119.0, 248.0], [55.0, 248.0]], ('5XY DISCOUNT', 0.8547922968864441)], [[[173.0, 238.0], [199.0, 238.0], [199.0, 249.0], [173.0, 249.0]], ('1.75-', 0.963353157043457)], [[[44.0, 248.0], [77.0, 248.0], [77.0, 259.0], [44.0, 259.0]], ('MARDEN', 0.9118674397468567)], [[[126.0, 248.0], [157.0, 248.0], [157.0, 259.0], [126.0, 259.0]], ('022400', 0.9972384572029114)], [[[172.0, 248.0], [197.0, 248.0], [197.0, 259.0], [172.0, 259.0]], ('2.00', 0.9846110939979553)], [[[44.0, 267.0], [156.0, 267.0], [156.0, 277.0], [44.0, 277.0]], ('INSPECTOR GENERAL022400', 0.9488697052001953)], [[[174.0, 267.0], [197.0, 267.0], [197.0, 278.0], [174.0, 278.0]], ('1.50', 0.9880188703536987)], [[[177.0, 258.0], [198.0, 258.0], [198.0, 268.0], [177.0, 268.0]], ('.0-', 0.5419985055923462)], [[[55.0, 277.0], [119.0, 277.0], [119.0, 287.0], [55.0, 287.0]], ('52Y DISCOUNT', 0.877885103225708)], [[[125.0, 286.0], [158.0, 286.0], [158.0, 297.0], [125.0, 297.0]], ('210900', 0.9915148615837097)], [[[178.0, 277.0], [198.0, 277.0], [198.0, 288.0], [178.0, 288.0]], ('.07-', 0.909235954284668)], [[[44.0, 287.0], [120.0, 287.0], [120.0, 297.0], [44.0, 297.0]], ('HEPOLOS HOUNDS', 0.937783420085907)], [[[166.0, 287.0], [197.0, 287.0], [197.0, 298.0], [166.0, 298.0]], ('30.00', 0.9886838793754578)], [[[55.0, 297.0], [119.0, 297.0], [119.0, 307.0], [55.0, 307.0]], ('5ZY DISCOUNT', 0.8944252133369446)], [[[173.0, 297.0], [199.0, 297.0], [199.0, 308.0], [173.0, 308.0]], ('1.50-', 0.956200122833252)], [[[55.0, 315.0], [107.0, 315.0], [107.0, 326.0], [55.0, 326.0]], ('TOTAL SALE', 0.9258516430854797)], [[[165.0, 316.0], [197.0, 316.0], [197.0, 327.0], [165.0, 327.0]], ('$68.50', 0.9690486788749695)], [[[15.0, 332.0], [48.0, 335.0], [47.0, 349.0], [14.0, 346.0]], ('53811', 0.9766522645950317)], [[[62.0, 326.0], [108.0, 326.0], [108.0, 337.0], [62.0, 337.0]], ('*DISCOUNT', 0.9112484455108643)], [[[166.0, 325.0], [199.0, 325.0], [199.0, 338.0], [166.0, 338.0]], ('$3.42-', 0.9165587425231934)], [[[54.0, 336.0], [97.0, 336.0], [97.0, 346.0], [54.0, 346.0]], ('NET SALE', 0.9161324501037598)], [[[165.0, 337.0], [197.0, 337.0], [197.0, 347.0], [165.0, 347.0]], ('8059', 0.5435192584991455)], [[[54.0, 365.0], [119.0, 365.0], [119.0, 376.0], [54.0, 376.0]], ('CHARGE AMOUNT', 0.9114910960197449)], [[[162.0, 364.0], [197.0, 364.0], [197.0, 378.0], [162.0, 378.0]], ('$65.08', 0.8951206803321838)], [[[17.0, 401.0], [156.0, 401.0], [156.0, 417.0], [17.0, 417.0]], ('CUSTONERS SINATUREEUIRED', 0.8802316784858704)], [[[68.0, 414.0], [142.0, 418.0], [142.0, 434.0], [67.0, 431.0]], ('nllu', 0.6215284466743469)], [[[36.0, 474.0], [96.0, 474.0], [96.0, 485.0], [36.0, 485.0]], ('R3BOX176', 0.8311859369277954)], [[[37.0, 481.0], [83.0, 484.0], [82.0, 495.0], [36.0, 492.0]], ('CORNISH', 0.8695715665817261)], [[[36.0, 492.0], [143.0, 492.0], [143.0, 505.0], [36.0, 505.0]], ('ACCOLNT NUMBER 79730', 0.8779587745666504)], [[[35.0, 511.0], [202.0, 512.0], [202.0, 525.0], [35.0, 524.0]], ('0000102-000.FRF1/05/012:58PH', 0.8919917345046997)], [[[17.0, 531.0], [127.0, 531.0], [127.0, 544.0], [17.0, 544.0]], ('SALINGERJD&COLLEEN', 0.9074223637580872)], [[[45.0, 562.0], [179.0, 562.0], [179.0, 572.0], [45.0, 572.0]], ('THANK YOU EOR YOUR PATRONAGE', 0.9068983197212219)]]	{"store_name": "DARTMOUTHBOOKSTORE,INC.", "store_addr": "HANOVER,NH03755", "telephone": "603-643-3616", "date": "1/05/01", "time": "2:58PM", "subtotal": "$68.50", "tax": "", "total": "$65.05", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "TIEPOLOSHOUNDS", "item_value": "35.00", "item_quantity": "1"}, {"item_key": "", "item_name": "INSPECTORGENERAL022400", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WARDEN", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "WARTOBEWON", "item_value": "30.00", "item_quantity": "1"}, {"item_key": "PRODUGT", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[83.0, 26.0], [217.0, 23.0], [218.0, 51.0], [84.0, 54.0]], ('OTARGET', 0.9855726361274719)], [[[121.0, 49.0], [215.0, 49.0], [215.0, 62.0], [121.0, 62.0]], ('EXPECT MOREPAY LESS', 0.8983247876167297)], [[[51.0, 74.0], [246.0, 73.0], [246.0, 87.0], [51.0, 88.0]], ('DENVERSTAPCETON303-209-8720', 0.9537413120269775)], [[[41.0, 86.0], [268.0, 84.0], [268.0, 98.0], [41.0, 101.0]], ('02/26/2016C4:53PMEXPIRES05/26/16', 0.9545338153839111)], [[[15.0, 145.0], [63.0, 142.0], [64.0, 157.0], [16.0, 159.0]], ('GROCERY', 0.9893539547920227)], [[[16.0, 157.0], [74.0, 153.0], [75.0, 168.0], [17.0, 171.0]], ('261011398', 0.99653160572052)], [[[113.0, 155.0], [184.0, 153.0], [185.0, 167.0], [114.0, 169.0]], ('ARNLO OROWH', 0.8492589592933655)], [[[198.0, 155.0], [215.0, 155.0], [215.0, 167.0], [198.0, 167.0]], ('FN', 0.9582525491714478)], [[[234.0, 154.0], [269.0, 151.0], [270.0, 167.0], [235.0, 170.0]], ('$2.99', 0.9913870096206665)], [[[15.0, 167.0], [74.0, 165.0], [74.0, 179.0], [16.0, 181.0]], ('271300822', 0.9970601201057434)], [[[115.0, 168.0], [178.0, 168.0], [178.0, 179.0], [115.0, 179.0]], ('DR PER TEN', 0.8998554944992065)], [[[199.0, 166.0], [215.0, 166.0], [215.0, 179.0], [199.0, 179.0]], ('FC', 0.9946248531341553)], [[[15.0, 179.0], [74.0, 177.0], [74.0, 191.0], [16.0, 193.0]], ('284120059', 0.9971261620521545)], [[[112.0, 176.0], [178.0, 178.0], [178.0, 192.0], [111.0, 190.0]], ('MP BUTTER', 0.9288413524627686)], [[[197.0, 176.0], [221.0, 176.0], [221.0, 191.0], [197.0, 191.0]], ('FN', 0.959438681602478)], [[[106.0, 189.0], [216.0, 188.0], [216.0, 202.0], [106.0, 203.0]], ('Car twheel 5% off', 0.8835645914077759)], [[[209.0, 185.0], [247.0, 187.0], [246.0, 202.0], [208.0, 200.0]], ('$3.42', 0.9899967312812805)], [[[14.0, 201.0], [74.0, 199.0], [74.0, 213.0], [15.0, 215.0]], ('284120059', 0.9949358701705933)], [[[114.0, 201.0], [178.0, 201.0], [178.0, 212.0], [114.0, 212.0]], ('MP BUTTER', 0.9391776323318481)], [[[198.0, 200.0], [216.0, 200.0], [216.0, 212.0], [198.0, 212.0]], ('FN', 0.9190114736557007)], [[[234.0, 198.0], [271.0, 198.0], [271.0, 213.0], [234.0, 213.0]], ('$3.24', 0.988261878490448)], [[[106.0, 211.0], [247.0, 209.0], [247.0, 223.0], [106.0, 225.0]], ('Cartwhee5% off $3.42', 0.916694164276123)], [[[17.0, 223.0], [68.0, 223.0], [68.0, 234.0], [17.0, 234.0]], ('10177957', 0.9960669279098511)], [[[107.0, 222.0], [191.0, 222.0], [191.0, 235.0], [107.0, 235.0]], ('TARGET COUPON', 0.9579149484634399)], [[[235.0, 220.0], [273.0, 220.0], [273.0, 235.0], [235.0, 235.0]], ('$0.05', 0.9781632423400879)], [[[17.0, 235.0], [67.0, 235.0], [67.0, 246.0], [17.0, 246.0]], ('10177957', 0.9974617958068848)], [[[107.0, 233.0], [190.0, 233.0], [190.0, 246.0], [107.0, 246.0]], ('TARGET COUPON', 0.9456826448440552)], [[[235.0, 230.0], [275.0, 230.0], [275.0, 248.0], [235.0, 248.0]], ('-500$', 0.7261855006217957)], [[[17.0, 246.0], [67.0, 246.0], [67.0, 257.0], [17.0, 257.0]], ('10177957', 0.9980446100234985)], [[[108.0, 244.0], [190.0, 243.0], [191.0, 257.0], [108.0, 258.0]], ('TARGET COUPON', 0.9525629878044128)], [[[236.0, 242.0], [275.0, 242.0], [275.0, 257.0], [236.0, 257.0]], ('$0.05-', 0.9804331660270691)], [[[164.0, 267.0], [212.0, 267.0], [212.0, 278.0], [164.0, 278.0]], ('SUBTOTAL', 0.9945372343063354)], [[[231.0, 266.0], [271.0, 266.0], [271.0, 280.0], [231.0, 280.0]], ('$14.31', 0.9929082989692688)], [[[27.0, 278.0], [170.0, 278.0], [170.0, 291.0], [27.0, 291.0]], ('C=C0TAX2.9000% on', 0.8890641331672668)], [[[181.0, 277.0], [217.0, 277.0], [217.0, 291.0], [181.0, 291.0]], ('$4.84', 0.9722841382026672)], [[[234.0, 277.0], [272.0, 277.0], [272.0, 291.0], [234.0, 291.0]], ('$0.14', 0.987535834312439)], [[[183.0, 288.0], [216.0, 288.0], [216.0, 302.0], [183.0, 302.0]], ('TOTAL', 0.9976040124893188)], [[[231.0, 288.0], [272.0, 288.0], [272.0, 302.0], [231.0, 302.0]], ('$14.45', 0.9924376010894775)], [[[72.0, 311.0], [215.0, 311.0], [215.0, 325.0], [72.0, 325.0]], ('3202 GIFT CARD PAYMENT', 0.8943790793418884)], [[[231.0, 311.0], [272.0, 308.0], [273.0, 323.0], [232.0, 326.0]], ('$14.45', 0.9843717217445374)], [[[71.0, 324.0], [215.0, 321.0], [216.0, 335.0], [71.0, 337.0]], ('3202 GIFT CARD BALANCE', 0.9271015524864197)], [[[236.0, 322.0], [279.0, 322.0], [279.0, 336.0], [236.0, 336.0]], ('$10.55', 0.9198393821716309)]]	{"store_name": "TARGET", "store_addr": "", "telephone": "DENVERSTAPLETON-303-209-8720", "date": "02/26/2016", "time": "04:53PM", "subtotal": "$14.31", "tax": "$0.14", "total": "$14.45", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ARNLDOROWH", "item_value": "$3.24", "item_quantity": "1"}, {"item_key": "", "item_name": "DRPERTEN", "item_value": "$3.24", "item_quantity": "1"}, {"item_key": "", "item_name": "MPBUTTER", "item_value": "$4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "MPBUTTER", "item_value": "$2.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[37.0, 0.0], [100.0, 3.0], [100.0, 13.0], [36.0, 10.0]], ('ste:01/3/2c10', 0.5030362606048584)], [[[133.0, 1.0], [185.0, 0.0], [186.0, 9.0], [133.0, 11.0]], ('0114:21:54', 0.7783154249191284)], [[[64.0, 32.0], [109.0, 32.0], [109.0, 42.0], [64.0, 42.0]], ('Seicyetimn', 0.5153267979621887)], [[[148.0, 26.0], [186.0, 29.0], [185.0, 40.0], [147.0, 37.0]], ('EXLPY', 0.5554924011230469)], [[[31.0, 47.0], [91.0, 47.0], [91.0, 57.0], [31.0, 57.0]], ('OFFICER S HOLE', 0.7014471292495728)], [[[170.0, 43.0], [191.0, 43.0], [191.0, 54.0], [170.0, 54.0]], ('850', 0.920717179775238)], [[[29.0, 56.0], [95.0, 53.0], [96.0, 63.0], [29.0, 66.0]], ('Pull Cart aenta', 0.7155449986457825)], [[[172.0, 54.0], [190.0, 54.0], [190.0, 62.0], [172.0, 62.0]], ('3.00', 0.8886205554008484)], [[[25.0, 90.0], [52.0, 90.0], [52.0, 100.0], [25.0, 100.0]], ('Rept#', 0.9015830159187317)], [[[52.0, 86.0], [140.0, 88.0], [139.0, 102.0], [51.0, 100.0]], ('135219-1ote1', 0.642397940158844)], [[[93.0, 97.0], [139.0, 100.0], [138.0, 112.0], [93.0, 109.0]], ('Salec Tx', 0.7998618483543396)], [[[171.0, 89.0], [197.0, 89.0], [197.0, 102.0], [171.0, 102.0]], ('11.50', 0.965008556842804)], [[[95.0, 106.0], [140.0, 108.0], [139.0, 122.0], [94.0, 120.0]], ('Total D', 0.8180360198020935)], [[[173.0, 99.0], [198.0, 99.0], [198.0, 110.0], [173.0, 110.0]], ('0.00', 0.9240440130233765)], [[[172.0, 109.0], [199.0, 109.0], [199.0, 122.0], [172.0, 122.0]], ('11.50', 0.9683621525764465)], [[[93.0, 127.0], [138.0, 129.0], [137.0, 143.0], [93.0, 141.0]], ('Tot Paid:', 0.8656639456748962)], [[[174.0, 130.0], [201.0, 130.0], [201.0, 143.0], [174.0, 143.0]], ('11.50', 0.9890688061714172)], [[[22.0, 164.0], [77.0, 164.0], [77.0, 175.0], [22.0, 175.0]], ('Payment of', 0.9127523303031921)], [[[106.0, 163.0], [135.0, 163.0], [135.0, 177.0], [106.0, 177.0]], ('11.50', 0.9762765765190125)], [[[16.0, 187.0], [157.0, 186.0], [158.0, 200.0], [16.0, 201.0]], ('THANK YOU FOR YOUR PATRONAGEI', 0.8958945870399475)], [[[14.0, 200.0], [142.0, 200.0], [142.0, 213.0], [14.0, 213.0]], ('PLEASE KEEP YOUR RECEIPT.', 0.9439027905464172)], [[[13.0, 212.0], [175.0, 212.0], [175.0, 225.0], [13.0, 225.0]], ("A CUSTOMER'S ORIGINAL RECEIPT IS", 0.9300075769424438)], [[[13.0, 227.0], [184.0, 227.0], [184.0, 237.0], [13.0, 237.0]], ('REQUTRED FOR ALL PRCDCT WARRANTY.', 0.8687222599983215)], [[[10.0, 239.0], [162.0, 239.0], [162.0, 252.0], [10.0, 252.0]], ('REFUND AND RAINCHECK REQUESTS', 0.9396154880523682)], [[[9.0, 266.0], [182.0, 266.0], [182.0, 279.0], [9.0, 279.0]], ('AWASE MEADONS PRD SHOP645-3110', 0.9000250697135925)], [[[8.0, 281.0], [168.0, 281.0], [168.0, 294.0], [8.0, 294.0]], ('NINE ATW.MCCSOKINAWA.COM', 0.9434516429901123)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "11.50", "tax": "8.00", "total": "11.50", "ignore": " ", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[119.0, 73.0], [216.0, 70.0], [216.0, 87.0], [119.0, 91.0]], ("CHRISTOPHER'SS", 0.9315272569656372)], [[[138.0, 83.0], [197.0, 83.0], [197.0, 93.0], [138.0, 93.0]], ('CAKESHOP', 0.9906128644943237)], [[[94.0, 96.0], [235.0, 92.0], [235.0, 109.0], [94.0, 113.0]], ('WED0CTOBER 11.2017', 0.8325977921485901)], [[[42.0, 112.0], [236.0, 108.0], [236.0, 125.0], [42.0, 129.0]], ('CHECK177492', 0.8875402212142944)], [[[97.0, 127.0], [231.0, 124.0], [232.0, 142.0], [97.0, 144.0]], ('DUPLICATE', 0.9898078441619873)], [[[46.0, 161.0], [212.0, 159.0], [212.0, 176.0], [46.0, 178.0]], ('Caramel Noutel la Pce', 0.8678498864173889)], [[[256.0, 160.0], [293.0, 160.0], [293.0, 175.0], [256.0, 175.0]], ('5.40', 0.9905725717544556)], [[[59.0, 180.0], [84.0, 180.0], [84.0, 195.0], [59.0, 195.0]], ('GST', 0.985325038433075)], [[[255.0, 177.0], [294.0, 177.0], [294.0, 195.0], [255.0, 195.0]], ('0.49', 0.9928504824638367)], [[[39.0, 197.0], [104.0, 197.0], [104.0, 214.0], [39.0, 214.0]], ('TOTAI', 0.8671984672546387)], [[[219.0, 195.0], [287.0, 195.0], [287.0, 213.0], [219.0, 213.0]], ('5.40', 0.8851138353347778)], [[[109.0, 234.0], [220.0, 234.0], [220.0, 251.0], [109.0, 251.0]], ('Miranda', 0.9909192323684692)], [[[121.0, 252.0], [208.0, 254.0], [207.0, 271.0], [121.0, 269.0]], ('Lunch', 0.927149772644043)], [[[60.0, 271.0], [99.0, 273.0], [98.0, 289.0], [59.0, 286.0]], ('Time:', 0.8006488084793091)], [[[107.0, 269.0], [151.0, 272.0], [150.0, 290.0], [106.0, 287.0]], ('13:43', 0.9574529528617859)], [[[186.0, 272.0], [273.0, 274.0], [272.0, 291.0], [185.0, 289.0]], ('1CUSTOMER', 0.9862319231033325)], [[[58.0, 312.0], [263.0, 317.0], [263.0, 334.0], [58.0, 329.0]], ('lotal is inclusive of GS', 0.9026422500610352)], [[[75.0, 330.0], [240.0, 336.0], [240.0, 356.0], [75.0, 350.0]], ('ABN79513 410024', 0.9486796855926514)], [[[75.0, 374.0], [251.0, 382.0], [250.0, 402.0], [75.0, 394.0]], ('YOU HAVE BEEN SERVED', 0.9252727627754211)], [[[113.0, 398.0], [208.0, 405.0], [206.0, 426.0], [112.0, 419.0]], ('BYJames', 0.9667378664016724)]]	{"store_name": "CHRISTOPHER'S CAKESHOP", "store_addr": "", "telephone": "", "date": "WEDOCTOBER11,2017", "time": "13:43", "subtotal": "", "tax": "0.49", "total": "5.40", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CaramelNoulellaPce", "item_value": "5.40", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[78.0, 65.0], [305.0, 63.0], [305.0, 90.0], [78.0, 92.0]], ('Le Louis Philippe', 0.9257205128669739)], [[[107.0, 102.0], [274.0, 96.0], [275.0, 112.0], [108.0, 118.0]], ('66 quai de It lotel de Ville', 0.7566571235656738)], [[[149.0, 117.0], [234.0, 115.0], [234.0, 130.0], [149.0, 131.0]], ('75004Paris', 0.9765203595161438)], [[[127.0, 136.0], [254.0, 134.0], [255.0, 148.0], [127.0, 150.0]], ('T0149799949', 0.910800039768219)], [[[137.0, 183.0], [261.0, 182.0], [261.0, 196.0], [137.0, 197.0]], ('RCS PARIS 91B 12403', 0.9075534343719482)], [[[121.0, 195.0], [272.0, 194.0], [272.0, 208.0], [121.0, 209.0]], ('SIRET383 146008 00016', 0.9453209638595581)], [[[87.0, 219.0], [119.0, 219.0], [119.0, 233.0], [87.0, 233.0]], ('#0001', 0.9814671277999878)], [[[157.0, 220.0], [206.0, 220.0], [206.0, 231.0], [157.0, 231.0]], ('Caisse 1', 0.8693929314613342)], [[[240.0, 217.0], [302.0, 217.0], [302.0, 231.0], [240.0, 231.0]], ('19-05-2017', 0.9866974949836731)], [[[168.0, 241.0], [217.0, 241.0], [217.0, 255.0], [168.0, 255.0]], ('NOTE', 0.9979904294013977)], [[[153.0, 263.0], [229.0, 263.0], [229.0, 277.0], [153.0, 277.0]], ('TABLE No38', 0.9201132655143738)], [[[91.0, 285.0], [159.0, 287.0], [158.0, 301.0], [90.0, 299.0]], ('1PLAT SEUL', 0.8713700175285339)], [[[264.0, 287.0], [303.0, 287.0], [303.0, 301.0], [264.0, 301.0]], ('+12.50', 0.9254152178764343)], [[[90.0, 299.0], [153.0, 299.0], [153.0, 310.0], [90.0, 310.0]], ('Sous total', 0.927223801612854)], [[[264.0, 296.0], [304.0, 299.0], [303.0, 313.0], [263.0, 310.0]], ('12.50', 0.8801577687263489)], [[[89.0, 307.0], [160.0, 310.0], [160.0, 324.0], [88.0, 321.0]], ('H.I.10.00%', 0.8307998776435852)], [[[264.0, 309.0], [303.0, 309.0], [303.0, 324.0], [264.0, 324.0]], ('11.36', 0.9038520455360413)], [[[91.0, 319.0], [152.0, 322.0], [151.0, 336.0], [90.0, 333.0]], ('TVA10.00%', 0.8874913454055786)], [[[269.0, 322.0], [304.0, 322.0], [304.0, 336.0], [269.0, 336.0]], ('1.14', 0.9627656936645508)], [[[91.0, 333.0], [184.0, 333.0], [184.0, 348.0], [91.0, 348.0]], ('TOTAL TIC 10.00%', 0.8364734649658203)], [[[265.0, 334.0], [304.0, 334.0], [304.0, 349.0], [265.0, 349.0]], ('+12.50', 0.9729625582695007)], [[[91.0, 357.0], [201.0, 360.0], [200.0, 381.0], [91.0, 379.0]], ('TOTAL EURO', 0.955533504486084)], [[[228.0, 360.0], [305.0, 360.0], [305.0, 384.0], [228.0, 384.0]], ('*12.50', 0.9920074343681335)], [[[89.0, 391.0], [304.0, 395.0], [304.0, 409.0], [88.0, 405.0]], ('Nous vous remerclons de votre visi te', 0.906496524810791)], [[[89.0, 403.0], [305.0, 408.0], [305.0, 422.0], [88.0, 417.0]], ('e1 vous souhaltons une bonne journee', 0.8921944499015808)], [[[89.0, 421.0], [118.0, 424.0], [116.0, 439.0], [88.0, 437.0]], ('BOSS', 0.9955503940582275)]]	{"store_name": "LeLouisPhilippe", "store_addr": "66quaideI'HloteldeVille 75004Paris", "telephone": "0449799949", "date": "19-05-2017", "time": "", "subtotal": "12.50", "tax": "1.14", "total": "12.50", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PLATSEUL", "item_value": "12.50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[89.0, 61.0], [245.0, 58.0], [245.0, 71.0], [89.0, 74.0]], ('KiYdare Village Outiet Shocping', 0.7499785423278809)], [[[140.0, 72.0], [199.0, 72.0], [199.0, 83.0], [140.0, 83.0]], ('Nurney Road', 0.8828697204589844)], [[[135.0, 91.0], [207.0, 94.0], [206.0, 107.0], [134.0, 104.0]], ('County Kifdare', 0.9084485769271851)], [[[139.0, 82.0], [203.0, 82.0], [203.0, 93.0], [139.0, 93.0]], ('Kirdare Town', 0.7613838315010071)], [[[94.0, 117.0], [240.0, 117.0], [240.0, 130.0], [94.0, 130.0]], ('kldareiepa.oquotidien.co.', 0.7715217471122742)], [[[103.0, 130.0], [231.0, 130.0], [231.0, 143.0], [103.0, 143.0]], ('www.epainquotidien.co.uk', 0.8007246851921082)], [[[63.0, 151.0], [128.0, 153.0], [127.0, 167.0], [62.0, 165.0]], ('Server-Iwona', 0.8906154632568359)], [[[63.0, 164.0], [153.0, 165.0], [153.0, 179.0], [62.0, 178.0]], ('29/10/1605:08', 0.9454867839813232)], [[[63.0, 176.0], [123.0, 178.0], [123.0, 190.0], [62.0, 188.0]], ('Tabe No:56', 0.7474674582481384)], [[[164.0, 177.0], [219.0, 177.0], [219.0, 191.0], [164.0, 191.0]], ('Covers:2', 0.9177395105361938)], [[[71.0, 200.0], [188.0, 202.0], [188.0, 215.0], [71.0, 213.0]], ('1Chick+Vea Meatba ls', 0.8413344621658325)], [[[244.0, 200.0], [279.0, 200.0], [279.0, 214.0], [244.0, 214.0]], ('15.96', 0.875386118888855)], [[[73.0, 212.0], [188.0, 213.0], [188.0, 227.0], [73.0, 226.0]], ('12 Courses For 14.95', 0.9177203178405762)], [[[245.0, 213.0], [280.0, 213.0], [280.0, 227.0], [245.0, 227.0]], ('14.95', 0.8843227624893188)], [[[86.0, 228.0], [186.0, 228.0], [186.0, 238.0], [86.0, 238.0]], ('Chicken Brioche Bun', 0.9271141886711121)], [[[85.0, 239.0], [178.0, 239.0], [178.0, 252.0], [85.0, 252.0]], ('Grandsa Apple Pie', 0.8909249305725098)], [[[71.0, 250.0], [159.0, 251.0], [158.0, 265.0], [71.0, 264.0]], ('1 Reg Cappuccino', 0.8722205758094788)], [[[250.0, 250.0], [282.0, 250.0], [282.0, 264.0], [250.0, 264.0]], ('3.00', 0.9765608310699463)], [[[70.0, 262.0], [137.0, 264.0], [137.0, 278.0], [70.0, 276.0]], ('Flat hite', 0.8848860263824463)], [[[251.0, 263.0], [282.0, 263.0], [282.0, 278.0], [251.0, 278.0]], ('3.25', 0.9854755401611328)], [[[101.0, 290.0], [161.0, 288.0], [161.0, 302.0], [101.0, 305.0]], ('Opt Svc Ch', 0.8847914934158325)], [[[247.0, 287.0], [280.0, 290.0], [279.0, 305.0], [245.0, 302.0]], ('3.72', 0.9847874641418457)], [[[122.0, 302.0], [162.0, 302.0], [162.0, 316.0], [122.0, 316.0]], ('Aet.Due', 0.86873859167099)], [[[212.0, 301.0], [277.0, 303.0], [276.0, 318.0], [211.0, 315.0]], ('40.87', 0.9961903691291809)], [[[96.0, 328.0], [158.0, 328.0], [158.0, 343.0], [96.0, 343.0]], ('VAT Include', 0.941654622554779)], [[[249.0, 327.0], [281.0, 330.0], [280.0, 345.0], [247.0, 342.0]], ('3.42', 0.9844471216201782)], [[[85.0, 355.0], [255.0, 357.0], [254.0, 371.0], [84.0, 369.0]], ('Service charge is discretionary', 0.9473258256912231)], [[[89.0, 383.0], [250.0, 384.0], [250.0, 398.0], [89.0, 397.0]], ('Includes VAT at current rates', 0.9499472379684448)], [[[84.0, 411.0], [259.0, 411.0], [259.0, 425.0], [84.0, 425.0]], ('VAT No337458HInv No131366', 0.8928722143173218)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "29/10/16", "time": "05:08pm", "subtotal": "\u20ac40.87", "tax": "\u20ac3.42", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "FlatWhite", "item_value": "\u20ac3.25", "item_quantity": "1"}, {"item_key": "", "item_name": "RegCappuccino", "item_value": "\u20ac3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenBriocheBun", "item_value": "\u20ac14.85", "item_quantity": "1"}, {"item_key": "", "item_name": "2CoursesFor\u20ac14.85", "item_value": "\u20ac15.96", "item_quantity": "1"}, {"item_key": "", "item_name": "Chick*VealMeatballs", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[96.0, 0.0], [150.0, 0.0], [150.0, 8.0], [96.0, 10.0]], ('ANNAS', 0.8975386619567871)], [[[78.0, 10.0], [223.0, 0.0], [224.0, 14.0], [79.0, 24.0]], ('Kulinarische & florist ische', 0.9379106760025024)], [[[113.0, 18.0], [186.0, 14.0], [187.0, 27.0], [114.0, 31.0]], ('Spezialitaten', 0.9834632277488708)], [[[73.0, 44.0], [236.0, 31.0], [237.0, 45.0], [74.0, 58.0]], ('Ko1w1t2strae 83-10435 Berlin', 0.8875115513801575)], [[[92.0, 55.0], [209.0, 46.0], [210.0, 59.0], [93.0, 68.0]], ('Tel.:030-4404 8749', 0.9031784534454346)], [[[92.0, 67.0], [213.0, 57.0], [214.0, 71.0], [93.0, 81.0]], ('ww.cafe-anna-blume.de', 0.9292519688606262)], [[[101.0, 78.0], [204.0, 70.0], [205.0, 84.0], [101.0, 92.0]], ('St.Nr.31/229/63767', 0.9838213324546814)], [[[95.0, 102.0], [204.0, 95.0], [205.0, 108.0], [96.0, 115.0]], ('TIP IS NOT INCLUDED', 0.9213246703147888)], [[[35.0, 141.0], [146.0, 135.0], [146.0, 149.0], [36.0, 155.0]], ('Tisch #120', 0.9263148307800293)], [[[30.0, 179.0], [96.0, 177.0], [96.0, 191.0], [30.0, 193.0]], ('2x4.20', 0.8005865216255188)], [[[218.0, 184.0], [281.0, 179.0], [283.0, 197.0], [219.0, 202.0]], ('8.40B', 0.9248549342155457)], [[[30.0, 194.0], [164.0, 189.0], [164.0, 202.0], [30.0, 207.0]], ('0,21 Orangensaft frisch', 0.9362204074859619)], [[[28.0, 206.0], [169.0, 203.0], [169.0, 217.0], [28.0, 220.0]], ('2Pers.VEGETAR.mit Lachs', 0.9536415338516235)], [[[214.0, 201.0], [251.0, 199.0], [252.0, 213.0], [215.0, 215.0]], ('22,50', 0.8643207550048828)], [[[255.0, 198.0], [281.0, 195.0], [283.0, 210.0], [256.0, 213.0]], ('eB', 0.69037926197052)], [[[27.0, 221.0], [134.0, 219.0], [135.0, 233.0], [27.0, 235.0]], ('Espresso Macchiato', 0.9771063327789307)], [[[221.0, 215.0], [257.0, 215.0], [257.0, 230.0], [221.0, 230.0]], ('2,50', 0.9023712277412415)], [[[251.0, 213.0], [282.0, 211.0], [284.0, 226.0], [252.0, 228.0]], ('EB', 0.6568636894226074)], [[[26.0, 235.0], [87.0, 235.0], [87.0, 249.0], [26.0, 249.0]], ('Cappuccino', 0.9939098358154297)], [[[221.0, 228.0], [285.0, 225.0], [285.0, 243.0], [221.0, 246.0]], ('2.90B', 0.8736494183540344)], [[[25.0, 263.0], [82.0, 263.0], [82.0, 277.0], [25.0, 277.0]], ('Total', 0.9979874491691589)], [[[166.0, 261.0], [232.0, 259.0], [233.0, 276.0], [166.0, 278.0]], ('36,30', 0.9610193371772766)], [[[258.0, 261.0], [272.0, 261.0], [272.0, 274.0], [258.0, 274.0]], ('E', 0.6250276565551758)], [[[23.0, 280.0], [88.0, 280.0], [88.0, 291.0], [23.0, 291.0]], ('Nettoumsatz', 0.9801747798919678)], [[[177.0, 275.0], [235.0, 274.0], [235.0, 292.0], [177.0, 293.0]], ('30.50', 0.9489514231681824)], [[[19.0, 294.0], [71.0, 294.0], [71.0, 308.0], [19.0, 308.0]], ('Mwst 19%', 0.9107459783554077)], [[[185.0, 292.0], [217.0, 292.0], [217.0, 307.0], [185.0, 307.0]], ('5,80', 0.8728879690170288)], [[[278.0, 292.0], [288.0, 292.0], [288.0, 307.0], [278.0, 307.0]], ('8', 0.5141404271125793)], [[[16.0, 308.0], [58.0, 308.0], [58.0, 336.0], [16.0, 336.0]], ('BAR', 0.9978554248809814)], [[[167.0, 309.0], [233.0, 309.0], [233.0, 335.0], [167.0, 335.0]], ('36,30', 0.8986390233039856)], [[[17.0, 334.0], [203.0, 334.0], [203.0, 352.0], [17.0, 352.0]], ('12:09 4.7.2015 36 Bediener 36', 0.9383074045181274)], [[[42.0, 383.0], [257.0, 390.0], [256.0, 407.0], [41.0, 400.0]], ('Oh Du, Geliebte meiner 27 Sinne,', 0.9030665159225464)], [[[60.0, 401.0], [237.0, 408.0], [237.0, 425.0], [59.0, 418.0]], ('ich liebe Dir! DuDeiner', 0.9147706031799316)], [[[91.0, 420.0], [142.0, 423.0], [141.0, 440.0], [90.0, 437.0]], ('Dich...', 0.9404042959213257)]]	{"store_name": "", "store_addr": "", "telephone": "030-44048749", "date": "4.7.2015", "time": "12:09", "subtotal": "30,50\u20ac", "tax": "5,80\u20ac", "total": "36,30\u20ac 36,30", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "0,21Orangensaftfrisch", "item_value": "8,40\u20ac", "item_quantity": "1"}, {"item_key": "", "item_name": "2Pers.VEGETAR.mitLachs", "item_value": "22,50\u20ac", "item_quantity": "1"}, {"item_key": "", "item_name": "EspressoMacchiato", "item_value": "2,50\u20ac", "item_quantity": "1"}, {"item_key": "", "item_name": "Cappuccino", "item_value": "2,90\u20ac", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[30.0, 28.0], [316.0, 36.0], [314.0, 88.0], [28.0, 80.0]], ('algreens', 0.9743994474411011)], [[[44.0, 98.0], [297.0, 96.0], [297.0, 113.0], [44.0, 115.0]], ('#09890 1 MILLARD FARMER IND BLVD', 0.9282287359237671)], [[[108.0, 114.0], [235.0, 114.0], [235.0, 131.0], [108.0, 131.0]], ('NEWNANGA 30263', 0.9614245295524597)], [[[126.0, 131.0], [218.0, 131.0], [218.0, 145.0], [126.0, 145.0]], ('770-251-6778', 0.9947512745857239)], [[[6.0, 159.0], [36.0, 159.0], [36.0, 179.0], [6.0, 179.0]], ('200', 0.9991286396980286)], [[[87.0, 160.0], [141.0, 160.0], [141.0, 177.0], [87.0, 177.0]], ('8200', 0.9922090768814087)], [[[138.0, 160.0], [327.0, 158.0], [327.0, 174.0], [138.0, 176.0]], ('002106/16/2017.2:48PM', 0.9556291699409485)], [[[8.0, 190.0], [137.0, 189.0], [137.0, 206.0], [8.0, 207.0]], ('AMAZON GIFT CARD', 0.961330771446228)], [[[238.0, 189.0], [264.0, 187.0], [266.0, 204.0], [240.0, 206.0]], ('N/D', 0.8559799194335938)], [[[40.0, 205.0], [168.0, 204.0], [168.0, 221.0], [40.0, 222.0]], ('6219871884888973', 0.9980899095535278)], [[[239.0, 202.0], [288.0, 202.0], [288.0, 220.0], [239.0, 220.0]], ('250.00', 0.9942031502723694)], [[[41.0, 234.0], [84.0, 234.0], [84.0, 252.0], [41.0, 252.0]], ('TOTAL', 0.9982735514640808)], [[[239.0, 231.0], [287.0, 231.0], [287.0, 249.0], [239.0, 249.0]], ('250.00', 0.9950504899024963)], [[[41.0, 249.0], [81.0, 249.0], [81.0, 267.0], [41.0, 267.0]], ('CASH', 0.9939109086990356)], [[[239.0, 245.0], [287.0, 245.0], [287.0, 263.0], [239.0, 263.0]], ('250.00', 0.9958537220954895)], [[[40.0, 264.0], [93.0, 263.0], [93.0, 281.0], [40.0, 282.0]], ('CHANGE', 0.9976527094841003)], [[[261.0, 261.0], [286.0, 261.0], [286.0, 277.0], [261.0, 277.0]], ('.00', 0.983623206615448)], [[[13.0, 306.0], [278.0, 301.0], [278.0, 318.0], [14.0, 323.0]], ('THANK YOU FOR SHOPPING AT WALGREENS', 0.9591970443725586)], [[[15.0, 347.0], [271.0, 344.0], [271.0, 362.0], [15.0, 365.0]], ('ON THOUSANDS OF ITEMS IN-STORE AND', 0.9496588110923767)], [[[16.0, 362.0], [270.0, 358.0], [270.0, 375.0], [17.0, 379.0]], ('ONLINE? SEE OUR WEEKLY AD FOR MORE', 0.9245353937149048)], [[[17.0, 376.0], [261.0, 373.0], [261.0, 390.0], [18.0, 393.0]], ('INFORMATION.ITEMS CHANGE WEEKLY.', 0.9406219720840454)], [[[18.0, 391.0], [263.0, 388.0], [263.0, 402.0], [19.0, 405.0]], ('RESTRICTIONS APPLY. FOR TERMS AND', 0.944939911365509)], [[[19.0, 403.0], [309.0, 402.0], [309.0, 419.0], [19.0, 420.0]], ('CONDITIONS,VISIT WALGREENS.COM/BALANCE', 0.969024658203125)], [[[72.0, 431.0], [284.0, 429.0], [284.0, 443.0], [72.0, 445.0]], ('RFN#0989-0218-2005-1706-1603', 0.9772035479545593)]]	{"store_name": "Walgieewl", "store_addr": "#098901MILLARDFARMERINDBLVD NEWNAN,GA30263", "telephone": "770-251-6778", "date": "06/16/2017", "time": "2:48PM", "subtotal": "", "tax": "", "total": "250.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "AMAZONGIFTCARD", "item_value": "250.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[234.0, 104.0], [353.0, 104.0], [353.0, 128.0], [234.0, 128.0]], ('Berghotel', 0.8937879204750061)], [[[195.0, 124.0], [404.0, 129.0], [403.0, 156.0], [194.0, 151.0]], ('Grosse Sche idegg', 0.9504832029342651)], [[[222.0, 152.0], [362.0, 153.0], [362.0, 171.0], [222.0, 170.0]], ('3818 Grinde lwa ld', 0.9134951829910278)], [[[220.0, 174.0], [362.0, 176.0], [362.0, 196.0], [220.0, 194.0]], ('Fami lie R.Muller', 0.9316641688346863)], [[[91.0, 225.0], [205.0, 225.0], [205.0, 242.0], [91.0, 242.0]], ('Rech.Nr.4572', 0.9861432909965515)], [[[300.0, 223.0], [464.0, 224.0], [464.0, 244.0], [300.0, 243.0]], ('30.07.2007/13:29:17', 0.9590697884559631)], [[[90.0, 245.0], [121.0, 250.0], [119.0, 271.0], [87.0, 266.0]], ('Bar', 0.9964438080787659)], [[[359.0, 248.0], [411.0, 248.0], [411.0, 269.0], [359.0, 269.0]], ('Tisch', 0.9930049180984497)], [[[425.0, 248.0], [466.0, 248.0], [466.0, 270.0], [425.0, 270.0]], ('7/01', 0.9983065128326416)], [[[101.0, 299.0], [250.0, 299.0], [250.0, 316.0], [101.0, 316.0]], ('2xLatte Macchiato', 0.9657064080238342)], [[[272.0, 300.0], [285.0, 300.0], [285.0, 316.0], [272.0, 316.0]], ('a', 0.9693455696105957)], [[[307.0, 297.0], [347.0, 297.0], [347.0, 316.0], [307.0, 316.0]], ('4.50', 0.9947030544281006)], [[[359.0, 297.0], [389.0, 297.0], [389.0, 317.0], [359.0, 317.0]], ('CHF', 0.9863286018371582)], [[[419.0, 298.0], [458.0, 298.0], [458.0, 317.0], [419.0, 317.0]], ('9.00', 0.997186541557312)], [[[101.0, 320.0], [163.0, 320.0], [163.0, 341.0], [101.0, 341.0]], ('1xGloki', 0.8187413215637207)], [[[307.0, 321.0], [347.0, 321.0], [347.0, 340.0], [307.0, 340.0]], ('5.00', 0.9971721172332764)], [[[360.0, 321.0], [389.0, 321.0], [389.0, 341.0], [360.0, 341.0]], ('CHF', 0.9955637454986572)], [[[418.0, 320.0], [459.0, 320.0], [459.0, 342.0], [418.0, 342.0]], ('5.00', 0.9963948130607605)], [[[102.0, 344.0], [259.0, 344.0], [259.0, 364.0], [102.0, 364.0]], ('1xSchweinschnitzel', 0.9862968921661377)], [[[274.0, 347.0], [286.0, 347.0], [286.0, 361.0], [274.0, 361.0]], ('a', 0.7938348054885864)], [[[300.0, 345.0], [347.0, 345.0], [347.0, 363.0], [300.0, 363.0]], ('22.00', 0.9968379735946655)], [[[360.0, 344.0], [390.0, 344.0], [390.0, 364.0], [360.0, 364.0]], ('CHF', 0.9901722073554993)], [[[413.0, 345.0], [459.0, 345.0], [459.0, 364.0], [413.0, 364.0]], ('22.00', 0.9965327382087708)], [[[101.0, 368.0], [215.0, 368.0], [215.0, 388.0], [101.0, 388.0]], ('1xChasspatzli', 0.9862572550773621)], [[[274.0, 369.0], [286.0, 369.0], [286.0, 386.0], [274.0, 386.0]], ('a', 0.8457468152046204)], [[[302.0, 368.0], [348.0, 368.0], [348.0, 387.0], [302.0, 387.0]], ('18.50', 0.9966177940368652)], [[[361.0, 368.0], [390.0, 368.0], [390.0, 387.0], [361.0, 387.0]], ('CHF', 0.9896111488342285)], [[[414.0, 365.0], [460.0, 367.0], [459.0, 389.0], [413.0, 387.0]], ('18.50', 0.9954078793525696)], [[[204.0, 419.0], [269.0, 419.0], [269.0, 440.0], [204.0, 440.0]], ('Total:', 0.9488648772239685)], [[[301.0, 418.0], [331.0, 418.0], [331.0, 439.0], [301.0, 439.0]], ('CHF', 0.9717171788215637)], [[[377.0, 414.0], [447.0, 414.0], [447.0, 440.0], [377.0, 440.0]], ('54.50', 0.9774214625358582)], [[[91.0, 468.0], [227.0, 468.0], [227.0, 485.0], [91.0, 485.0]], ('Inc1.7.6% MwSt', 0.9020240902900696)], [[[249.0, 467.0], [337.0, 467.0], [337.0, 485.0], [249.0, 485.0]], ('54.50CHF', 0.9936510324478149)], [[[369.0, 465.0], [411.0, 465.0], [411.0, 487.0], [369.0, 487.0]], ('3.85', 0.9959360361099243)], [[[89.0, 517.0], [366.0, 516.0], [366.0, 536.0], [89.0, 537.0]], ('Entspricht in Euro 36.33 EUR', 0.9466509819030762)], [[[91.0, 544.0], [294.0, 544.0], [294.0, 561.0], [91.0, 561.0]], ('Es bediente Sie: Ursula', 0.937096893787384)], [[[222.0, 591.0], [376.0, 590.0], [376.0, 610.0], [222.0, 611.0]], ('MwSt Nr.430 234', 0.9331084489822388)], [[[206.0, 616.0], [376.0, 616.0], [376.0, 636.0], [206.0, 636.0]], ('Tel.:033 8536716', 0.9329394102096558)], [[[204.0, 641.0], [376.0, 639.0], [376.0, 659.0], [204.0, 661.0]], ('Fax.:0338536719', 0.9555892944335938)], [[[115.0, 665.0], [419.0, 664.0], [419.0, 685.0], [116.0, 686.0]], ('E-mail: grossescheidegg@b luewin.ch', 0.9550746083259583)]]	{"store_name": "Berghotel GrosseScheidegg", "store_addr": "3818Grindelwald FamilieR.Muller", "telephone": "0338536716", "date": "30.07.2007/", "time": "13:29:17", "subtotal": "", "tax": "3.85", "total": "54.50", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "LatteMacchiato", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Gloki", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Schweinschnitzel", "item_value": "22.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Ch\u00e4ssp\u00e4tzli", "item_value": "18.50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[76.0, 44.0], [707.0, 68.0], [702.0, 205.0], [71.0, 182.0]], ('MEGA', 0.9888670444488525)], [[[349.0, 221.0], [506.0, 224.0], [505.0, 254.0], [348.0, 250.0]], ('SUC.COZUMEL', 0.9608343243598938)], [[[243.0, 252.0], [612.0, 259.0], [612.0, 289.0], [242.0, 281.0]], ('Av.Rafael E.Melgar No.799', 0.9418073892593384)], [[[250.0, 286.0], [605.0, 291.0], [604.0, 317.0], [250.0, 311.0]], ('Esq. Andres Q Roo Calle 11', 0.8551773428916931)], [[[334.0, 318.0], [522.0, 322.0], [521.0, 348.0], [334.0, 343.0]], ('Colonia Centro', 0.9752019047737122)], [[[234.0, 345.0], [619.0, 353.0], [618.0, 382.0], [234.0, 374.0]], ('Cozume1 Quintana Roo CP 77600', 0.9299951195716858)], [[[170.0, 375.0], [676.0, 386.0], [675.0, 412.0], [169.0, 401.0]], ('Tiendas Comercial Mexicana S.A. de C.V', 0.9272009134292603)], [[[161.0, 406.0], [690.0, 418.0], [689.0, 444.0], [160.0, 432.0]], ('Av.Revolucion # 780 Mod 2 Co1.San Juan', 0.8798508644104004)], [[[298.0, 439.0], [551.0, 444.0], [550.0, 473.0], [297.0, 468.0]], ('Mexico DFCP 03730', 0.9334389567375183)], [[[318.0, 471.0], [529.0, 476.0], [529.0, 503.0], [318.0, 498.0]], ('RFC TCM951030A17', 0.9727445840835571)], [[[117.0, 497.0], [729.0, 509.0], [728.0, 541.0], [116.0, 529.0]], ('Regimen de las personas morales titulo Il LISR', 0.9443597197532654)], [[[454.0, 565.0], [539.0, 565.0], [539.0, 596.0], [454.0, 596.0]], ('PRECIO', 0.9955809712409973)], [[[572.0, 569.0], [656.0, 569.0], [656.0, 599.0], [572.0, 599.0]], ('PRECIO', 0.9963386654853821)], [[[55.0, 590.0], [282.0, 594.0], [282.0, 621.0], [55.0, 616.0]], ('CANT SKU ARTICULO', 0.9475445747375488)], [[[453.0, 596.0], [551.0, 599.0], [550.0, 629.0], [452.0, 626.0]], ('REGULAR', 0.9976139068603516)], [[[570.0, 598.0], [657.0, 602.0], [655.0, 633.0], [568.0, 629.0]], ('OFERTA', 0.9976019859313965)], [[[705.0, 602.0], [770.0, 602.0], [770.0, 634.0], [705.0, 634.0]], ('TOTAL', 0.9937238693237305)], [[[92.0, 623.0], [427.0, 628.0], [426.0, 654.0], [91.0, 648.0]], ('1812BIOTRUE 300ML BAUSC', 0.9245800375938416)], [[[451.0, 629.0], [534.0, 629.0], [534.0, 659.0], [451.0, 659.0]], ('107.90', 0.9956448674201965)], [[[705.0, 634.0], [788.0, 634.0], [788.0, 665.0], [705.0, 665.0]], ('107.90', 0.9933019280433655)], [[[93.0, 654.0], [426.0, 662.0], [425.0, 687.0], [92.0, 679.0]], ('1799 BI0TRUE 60ML BAUSCH', 0.8962112069129944)], [[[463.0, 658.0], [535.0, 661.0], [534.0, 692.0], [462.0, 689.0]], ('47.40', 0.9935866594314575)], [[[714.0, 666.0], [785.0, 666.0], [785.0, 697.0], [714.0, 697.0]], ('47.40', 0.9940716624259949)], [[[92.0, 686.0], [426.0, 692.0], [425.0, 718.0], [91.0, 711.0]], ('1247 AGUA OXIGENADA 4801', 0.9027325510978699)], [[[463.0, 692.0], [534.0, 692.0], [534.0, 723.0], [463.0, 723.0]], ('11.90', 0.9975067973136902)], [[[715.0, 696.0], [786.0, 699.0], [785.0, 731.0], [714.0, 728.0]], ('11.90', 0.9958913922309875)], [[[32.0, 745.0], [223.0, 749.0], [223.0, 783.0], [31.0, 780.0]], ('IVA 16%23.06', 0.9583661556243896)], [[[556.0, 783.0], [655.0, 789.0], [653.0, 824.0], [554.0, 819.0]], ('TOTAL$', 0.9893540740013123)], [[[701.0, 788.0], [787.0, 791.0], [786.0, 826.0], [700.0, 823.0]], ('167.20', 0.9929206371307373)], [[[541.0, 850.0], [649.0, 850.0], [649.0, 881.0], [541.0, 881.0]], ('EFECTIVO', 0.9972172975540161)], [[[699.0, 853.0], [784.0, 856.0], [783.0, 887.0], [698.0, 884.0]], ('200.00', 0.9957897067070007)], [[[566.0, 883.0], [649.0, 883.0], [649.0, 914.0], [566.0, 914.0]], ('CAMBIO', 0.9929194450378418)], [[[711.0, 885.0], [784.0, 888.0], [782.0, 920.0], [710.0, 917.0]], ('32.80', 0.9972845315933228)], [[[150.0, 936.0], [642.0, 947.0], [642.0, 975.0], [150.0, 964.0]], ('OBTUVISTE EN MONEDER.O NARANJA PAYBACK', 0.927383303642273)]]	{"store_name": "MEGA", "store_addr": "Av.RafaelE.MelgarNO.799 Esq.AndresQ.RooCalle11 ColoniaCentro CozumelQuintanaRooCP77600 TiendasComercialMexicanaS.A.deC.V. Av.Revolucion#780Mod2Col.SanJuan MexicoDF,CP03730", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "23.06", "total": "167.20", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "812BIOTRUE300MLBAUSC", "item_value": "107.90", "item_quantity": "1"}, {"item_key": "", "item_name": "799BIORUE60MLBAUSCH", "item_value": "47.40", "item_quantity": "1"}, {"item_key": "", "item_name": "247AGUAOXIGENADA480M", "item_value": "11.90", "item_quantity": "1"}, {"item_key": "CANTSKUARTICULO", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[172.0, 62.0], [452.0, 59.0], [452.0, 86.0], [172.0, 89.0]], ('Starbucks Coffee', 0.9836205840110779)], [[[66.0, 93.0], [563.0, 86.0], [564.0, 119.0], [67.0, 126.0]], ('Raleigh Marriott City Center', 0.9612197279930115)], [[[202.0, 122.0], [400.0, 122.0], [400.0, 149.0], [202.0, 149.0]], ('Raleigh, NC', 0.924340009689331)], [[[27.0, 189.0], [195.0, 183.0], [196.0, 212.0], [27.0, 218.0]], ('4021 CHINA', 0.9506648182868958)], [[[16.0, 255.0], [399.0, 250.0], [400.0, 276.0], [16.0, 282.0]], ('CHK464331DEC11', 0.9875622987747192)], [[[441.0, 252.0], [556.0, 252.0], [556.0, 280.0], [441.0, 280.0]], ('6:56PM', 0.9469356536865234)], [[[50.0, 354.0], [322.0, 354.0], [322.0, 384.0], [50.0, 384.0]], ('1 G Decaf /Week', 0.9012888669967651)], [[[483.0, 352.0], [563.0, 352.0], [563.0, 388.0], [483.0, 388.0]], ('1.95', 0.9979308843612671)], [[[79.0, 424.0], [226.0, 424.0], [226.0, 455.0], [79.0, 455.0]], ('Subtotal', 0.9958031177520752)], [[[484.0, 427.0], [564.0, 427.0], [564.0, 460.0], [484.0, 460.0]], ('1.95', 0.9963855743408203)], [[[77.0, 459.0], [133.0, 462.0], [131.0, 494.0], [75.0, 491.0]], ('Tax', 0.9949231147766113)], [[[483.0, 465.0], [564.0, 465.0], [564.0, 497.0], [483.0, 497.0]], ('0.15', 0.9966856241226196)], [[[75.0, 495.0], [264.0, 497.0], [264.0, 528.0], [74.0, 526.0]], ('Total Paid', 0.9596844911575317)], [[[482.0, 500.0], [564.0, 503.0], [563.0, 535.0], [481.0, 532.0]], ('2.10', 0.9966765642166138)], [[[75.0, 530.0], [151.0, 530.0], [151.0, 563.0], [75.0, 563.0]], ('Cash', 0.9970619678497314)], [[[463.0, 537.0], [563.0, 539.0], [562.0, 571.0], [462.0, 569.0]], ('20.00', 0.9984302520751953)], [[[72.0, 566.0], [264.0, 570.0], [263.0, 604.0], [71.0, 600.0]], ('Change Due', 0.9772871136665344)], [[[465.0, 573.0], [563.0, 575.0], [562.0, 608.0], [464.0, 606.0]], ('17.90', 0.9982171058654785)]]	{"store_name": "StarbucksCoffee", "store_addr": "Raleigh,NC RaleighMarriottCityCenter", "telephone": "", "date": "31DEC'11", "time": "6:56PM", "subtotal": "1.95", "tax": "0.15", "total": "2.10", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "GDecaf/Week", "item_value": "1.95", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[82.0, 24.0], [254.0, 28.0], [254.0, 45.0], [82.0, 40.0]], ('Subway#2457-0 Phone 858-668-7300', 0.9346955418586731)], [[[119.0, 39.0], [222.0, 40.0], [221.0, 53.0], [119.0, 52.0]], ('12624 Poway rd A#14', 0.9086655974388123)], [[[59.0, 61.0], [275.0, 65.0], [275.0, 79.0], [59.0, 75.0]], ('Served byRobertJr 3/21/2016 6:49:00 pm', 0.9005261659622192)], [[[125.0, 52.0], [216.0, 52.0], [216.0, 65.0], [125.0, 65.0]], ('Poway.CA92064', 0.9397678375244141)], [[[103.0, 75.0], [234.0, 77.0], [234.0, 91.0], [103.0, 89.0]], ('Term I0-Trans# 1/A-57332', 0.9110249876976013)], [[[51.0, 99.0], [126.0, 101.0], [125.0, 115.0], [50.0, 113.0]], ('Qty Size Item', 0.9234252572059631)], [[[240.0, 100.0], [271.0, 103.0], [270.0, 117.0], [239.0, 114.0]], ('Price', 0.9959176182746887)], [[[62.0, 127.0], [71.0, 127.0], [71.0, 138.0], [62.0, 138.0]], ('1', 0.9729934930801392)], [[[102.0, 127.0], [207.0, 127.0], [207.0, 140.0], [102.0, 140.0]], ('21oz Fountain Drink', 0.9024986624717712)], [[[247.0, 126.0], [273.0, 126.0], [273.0, 140.0], [247.0, 140.0]], ('1.75', 0.9894400835037231)], [[[62.0, 140.0], [70.0, 140.0], [70.0, 150.0], [62.0, 150.0]], ('1', 0.9037578701972961)], [[[100.0, 139.0], [274.0, 138.0], [274.0, 152.0], [100.0, 153.0]], ('Manager Mea1 100x Off Menu 0.00', 0.8981419205665588)], [[[81.0, 151.0], [165.0, 152.0], [165.0, 166.0], [81.0, 165.0]], ('6-Turkey Sub', 0.9587270617485046)], [[[249.0, 152.0], [275.0, 152.0], [275.0, 164.0], [249.0, 164.0]], ('0.00', 0.9966983795166016)], [[[62.0, 169.0], [69.0, 169.0], [69.0, 176.0], [62.0, 176.0]], ('1', 0.7550140023231506)], [[[98.0, 166.0], [186.0, 166.0], [186.0, 180.0], [98.0, 180.0]], ('SOTD 6in Turkey', 0.9339139461517334)], [[[249.0, 163.0], [277.0, 163.0], [277.0, 178.0], [249.0, 178.0]], ('3.50', 0.9951720833778381)], [[[61.0, 181.0], [69.0, 181.0], [69.0, 190.0], [61.0, 190.0]], ('1', 0.8956060409545898)], [[[79.0, 178.0], [165.0, 179.0], [165.0, 193.0], [79.0, 192.0]], ('6-Turkey Sub', 0.9189801216125488)], [[[47.0, 207.0], [102.0, 207.0], [102.0, 220.0], [47.0, 220.0]], ('Sub Total', 0.8729310631752014)], [[[252.0, 204.0], [280.0, 204.0], [280.0, 219.0], [252.0, 219.0]], ('5.25', 0.8941855430603027)], [[[47.0, 221.0], [130.0, 221.0], [130.0, 235.0], [47.0, 235.0]], ('Taxable Amount', 0.9606942534446716)], [[[254.0, 218.0], [281.0, 218.0], [281.0, 233.0], [254.0, 233.0]], ('1.75', 0.9918782711029053)], [[[45.0, 235.0], [130.0, 235.0], [130.0, 249.0], [45.0, 249.0]], ('Sa les Tax 8%', 0.8829169869422913)], [[[255.0, 232.0], [282.0, 232.0], [282.0, 247.0], [255.0, 247.0]], ('0.14', 0.9935351610183716)], [[[46.0, 250.0], [140.0, 250.0], [140.0, 264.0], [46.0, 264.0]], ('Total Take Out', 0.8812311887741089)], [[[255.0, 247.0], [283.0, 247.0], [283.0, 262.0], [255.0, 262.0]], ('5.39', 0.9099531173706055)], [[[44.0, 265.0], [72.0, 265.0], [72.0, 280.0], [44.0, 280.0]], ('Cash', 0.9846378564834595)], [[[256.0, 262.0], [284.0, 262.0], [284.0, 277.0], [256.0, 277.0]], ('5.50', 0.996207594871521)], [[[44.0, 281.0], [82.0, 281.0], [82.0, 295.0], [44.0, 295.0]], ('Change', 0.9971240162849426)], [[[257.0, 277.0], [285.0, 277.0], [285.0, 292.0], [257.0, 292.0]], ('0.11', 0.9946627616882324)], [[[41.0, 294.0], [298.0, 292.0], [299.0, 308.0], [42.0, 310.0]], ("Consider us for your next football party's", 0.9326929450035095)], [[[47.0, 312.0], [202.0, 309.0], [202.0, 323.0], [48.0, 326.0]], ('catering needs. 668-7300', 0.9589689373970032)]]	{"store_name": "Subway#2457-0phone858-668-7300", "store_addr": "Poway,CA,92064 12624PowayrdA#14", "telephone": "668-7300", "date": "3/21/2016", "time": "", "subtotal": "5.25", "tax": "0.14", "total": "5.39", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "6\"-TurkeySub", "item_value": "1.75", "item_quantity": "1"}, {"item_key": "", "item_name": "SOTD6inTurkey", "item_value": "0.00\\", "item_quantity": "1"}, {"item_key": "", "item_name": "6\"-TurkeySub", "item_value": "0.00\\", "item_quantity": "1"}, {"item_key": "", "item_name": "ManagerMeal100%OffMenu", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "2lozFounttainDrink", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[78.0, 10.0], [225.0, 0.0], [227.0, 14.0], [79.0, 27.0]], ('VEST CHESTER.PA 19382', 0.9021620750427246)], [[[93.0, 1.0], [128.0, 1.0], [128.0, 11.0], [93.0, 11.0]], ('601', 0.7229421734809875)], [[[102.0, 23.0], [198.0, 15.0], [199.0, 29.0], [104.0, 37.0]], ('618431-7922', 0.94122314453125)], [[[58.0, 51.0], [152.0, 47.0], [152.0, 61.0], [59.0, 64.0]], ('2/07/2013 Thu', 0.885508120059967)], [[[210.0, 42.0], [269.0, 38.0], [270.0, 52.0], [211.0, 56.0]], ('11:49AM', 0.9396911263465881)], [[[57.0, 64.0], [147.0, 61.0], [147.0, 75.0], [58.0, 78.0]], ('CREETER:Auto', 0.9512030482292175)], [[[190.0, 59.0], [269.0, 52.0], [270.0, 66.0], [192.0, 73.0]], ('CTN:692969', 0.9341999888420105)], [[[55.0, 75.0], [159.0, 74.0], [159.0, 89.0], [55.0, 90.0]], ('Wash Code 15269', 0.9182320833206177)], [[[55.0, 87.0], [127.0, 90.0], [126.0, 105.0], [54.0, 102.0]], ('Machine:1', 0.9766104221343994)], [[[53.0, 110.0], [107.0, 114.0], [106.0, 131.0], [52.0, 127.0]], ('$7Wash', 0.9574706554412842)], [[[232.0, 111.0], [268.0, 111.0], [268.0, 125.0], [232.0, 125.0]], ('7.00', 0.8233869075775146)], [[[51.0, 140.0], [118.0, 144.0], [117.0, 157.0], [50.0, 154.0]], ('SUB TOTAL', 0.966907262802124)], [[[234.0, 136.0], [268.0, 139.0], [267.0, 154.0], [233.0, 151.0]], ('7.00', 0.9759434461593628)], [[[51.0, 156.0], [119.0, 156.0], [119.0, 170.0], [51.0, 170.0]], ('SALES TAX', 0.9678204655647278)], [[[235.0, 153.0], [269.0, 153.0], [269.0, 167.0], [235.0, 167.0]], ('8.80', 0.6578881144523621)], [[[49.0, 184.0], [88.0, 184.0], [88.0, 199.0], [49.0, 199.0]], ('TOTAL', 0.9984821081161499)], [[[236.0, 180.0], [271.0, 182.0], [270.0, 197.0], [235.0, 194.0]], ('7.00', 0.9807329773902893)], [[[46.0, 214.0], [159.0, 214.0], [159.0, 227.0], [46.0, 227.0]], ('AMOUNT TENDERED', 0.9615185856819153)], [[[237.0, 212.0], [272.0, 212.0], [272.0, 226.0], [237.0, 226.0]], ('7.00', 0.796663761138916)], [[[46.0, 230.0], [92.0, 230.0], [92.0, 241.0], [46.0, 241.0]], ('CHANGE', 0.9801904559135437)], [[[239.0, 227.0], [272.0, 227.0], [272.0, 242.0], [239.0, 242.0]], ('0.00', 0.913219153881073)], [[[44.0, 260.0], [218.0, 260.0], [218.0, 274.0], [44.0, 274.0]], ('PAYMENT METHOD: Uisa/MC', 0.9293441772460938)], [[[42.0, 293.0], [98.0, 293.0], [98.0, 306.0], [42.0, 306.0]], ('Account', 0.9975523352622986)], [[[126.0, 292.0], [263.0, 290.0], [263.0, 303.0], [127.0, 306.0]], ('886XXXXXXXXXXXXX', 0.6054514646530151)], [[[39.0, 310.0], [105.0, 306.0], [106.0, 323.0], [40.0, 327.0]], ('Approval', 0.9384819269180298)], [[[125.0, 309.0], [188.0, 306.0], [189.0, 320.0], [126.0, 322.0]], ('316102', 0.9169846177101135)]]	{"store_name": "", "store_addr": "WESTCHESTER,PA19382", "telephone": "(610)431-7922", "date": "02/07/2013", "time": "11:49AM", "subtotal": "7.00", "tax": "0.00", "total": "7.00 7.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "S7Wash", "item_value": "7.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[181.0, 8.0], [383.0, 15.0], [382.0, 36.0], [180.0, 29.0]], ('WITHIN THE NEXT 3 DAYS', 0.9384599328041077)], [[[213.0, 0.0], [424.0, 0.0], [424.0, 12.0], [213.0, 12.0]], ('WW.PFCHANGSFEEDBACK.CUM', 0.892871081829071)], [[[179.0, 67.0], [487.0, 82.0], [486.0, 107.0], [178.0, 92.0]], ('HH Kend Jackson Chard G1 2 @7.00', 0.9562555551528931)], [[[179.0, 89.0], [434.0, 104.0], [433.0, 125.0], [178.0, 111.0]], ('Mumm Napa Brut Bt (2 @12.00', 0.9410699009895325)], [[[511.0, 82.0], [558.0, 82.0], [558.0, 101.0], [511.0, 101.0]], ('14.00', 0.9935376048088074)], [[[180.0, 110.0], [347.0, 122.0], [345.0, 141.0], [179.0, 129.0]], ('Fried Rice Chicken', 0.9657071232795715)], [[[510.0, 103.0], [558.0, 100.0], [560.0, 119.0], [511.0, 123.0]], ('24.00', 0.996617317199707)], [[[178.0, 130.0], [330.0, 140.0], [328.0, 161.0], [176.0, 151.0]], ('Kung Pao Shrimp', 0.9530381560325623)], [[[518.0, 122.0], [561.0, 118.0], [563.0, 137.0], [520.0, 141.0]], ('9.75', 0.9975614547729492)], [[[177.0, 151.0], [313.0, 159.0], [311.0, 181.0], [175.0, 173.0]], ('Changs Chicken', 0.963668942451477)], [[[514.0, 142.0], [563.0, 136.0], [566.0, 155.0], [516.0, 161.0]], ('17.50', 0.9958667755126953)], [[[515.0, 160.0], [565.0, 153.0], [568.0, 173.0], [518.0, 180.0]], ('15.50', 0.9957868456840515)], [[[175.0, 173.0], [409.0, 176.0], [409.0, 197.0], [175.0, 194.0]], ('Handmade Pork Dumpling4)', 0.9306139945983887)], [[[523.0, 177.0], [566.0, 173.0], [569.0, 194.0], [525.0, 198.0]], ('5.95', 0.9958145618438721)], [[[175.0, 194.0], [309.0, 196.0], [309.0, 217.0], [175.0, 214.0]], ('Mongolian Beef', 0.9620350003242493)], [[[520.0, 197.0], [569.0, 193.0], [571.0, 215.0], [522.0, 219.0]], ('16.50', 0.9950485229492188)], [[[174.0, 256.0], [356.0, 256.0], [356.0, 274.0], [174.0, 274.0]], ('ENTER SURVEY CODE:', 0.9264675974845886)], [[[175.0, 301.0], [382.0, 301.0], [382.0, 319.0], [175.0, 319.0]], ('670278050090112', 0.9973425269126892)], [[[171.0, 347.0], [329.0, 346.0], [329.0, 365.0], [172.0, 366.0]], ('VALIDATION CODE:', 0.9669711589813232)], [[[169.0, 369.0], [565.0, 367.0], [565.0, 387.0], [169.0, 390.0]], ('REDEEM WITHIN 30 DAYS AT ANY P.F.CHANGS', 0.9307194948196411)], [[[168.0, 394.0], [518.0, 393.0], [518.0, 414.0], [168.0, 415.0]], ('ONE COUPON PER VISIT.NO CASH VALUE', 0.9431782960891724)], [[[167.0, 417.0], [562.0, 416.0], [563.0, 436.0], [167.0, 438.0]], ('CANNOT BE COMBINED WITH ANY OTHER OFFER.', 0.9276406168937683)], [[[168.0, 444.0], [498.0, 444.0], [498.0, 458.0], [168.0, 458.0]], ('********************************', 0.934989333152771)], [[[162.0, 511.0], [250.0, 514.0], [249.0, 537.0], [162.0, 534.0]], ('Subtotal', 0.9935134053230286)], [[[535.0, 509.0], [598.0, 509.0], [598.0, 532.0], [535.0, 532.0]], ('103.20', 0.9943897724151611)], [[[161.0, 537.0], [200.0, 540.0], [198.0, 564.0], [159.0, 561.0]], ('Tax', 0.9965116381645203)], [[[553.0, 534.0], [600.0, 534.0], [600.0, 557.0], [553.0, 557.0]], ('9.80', 0.9922838807106018)], [[[159.0, 589.0], [217.0, 589.0], [217.0, 615.0], [159.0, 615.0]], ('Total', 0.992840588092804)], [[[538.0, 586.0], [604.0, 583.0], [605.0, 609.0], [539.0, 612.0]], ('113.00', 0.997044563293457)], [[[159.0, 645.0], [395.0, 645.0], [395.0, 666.0], [159.0, 666.0]], ('Balance Due', 0.9388862252235413)], [[[482.0, 639.0], [607.0, 636.0], [607.0, 661.0], [483.0, 664.0]], ('113.00', 0.9988732933998108)], [[[268.0, 698.0], [486.0, 697.0], [486.0, 719.0], [269.0, 720.0]], ('For Your Convenience', 0.9744994044303894)], [[[226.0, 728.0], [538.0, 721.0], [538.0, 745.0], [226.0, 752.0]], ('15%$5.7018%$6.84', 0.9862098097801208)], [[[222.0, 759.0], [541.0, 750.0], [541.0, 774.0], [223.0, 783.0]], ('20%$7.6022%$8.36', 0.9903390407562256)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "103.20", "tax": "9.80", "total": "113.00", "ignore": " ", "tips": "($5.70) ($6.84) ($7.60) ($8.36)", "line_items": [{"item_key": "", "item_name": "HHKendJacksonChardGl", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MummNapaBrutBt", "item_value": "24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FriedRiceChicken", "item_value": "9.75", "item_quantity": "1"}, {"item_key": "", "item_name": "KungPaoShrimp*", "item_value": "17.50", "item_quantity": "1"}, {"item_key": "", "item_name": "ChangsChicken", "item_value": "15.50", "item_quantity": "1"}, {"item_key": "", "item_name": "HandmadePorkDumpling(4)", "item_value": "5.95", "item_quantity": "1"}, {"item_key": "", "item_name": "MongolianBeef", "item_value": "16.50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[94.0, 51.0], [224.0, 53.0], [224.0, 70.0], [94.0, 68.0]], ('Vasanta Bhavan', 0.9709464907646179)], [[[84.0, 80.0], [235.0, 80.0], [235.0, 94.0], [84.0, 94.0]], ('Vegetarian Familly Restaurant', 0.9328874349594116)], [[[134.0, 71.0], [188.0, 71.0], [188.0, 82.0], [134.0, 82.0]], ('Since 1974', 0.9540057182312012)], [[[69.0, 93.0], [258.0, 93.0], [258.0, 107.0], [69.0, 107.0]], ('No.19/1Horton PlaceColombo-07-Sri Lanka', 0.9138740301132202)], [[[93.0, 108.0], [233.0, 106.0], [233.0, 121.0], [93.0, 122.0]], ('Ho1L112665598766300387', 0.8964797854423523)], [[[60.0, 134.0], [191.0, 136.0], [191.0, 150.0], [59.0, 148.0]], ('Invoice NoH00000245', 0.9374063611030579)], [[[60.0, 149.0], [248.0, 149.0], [248.0, 163.0], [60.0, 163.0]], ('Date2S/02/2017Time18:45:42PM', 0.9426483511924744)], [[[61.0, 162.0], [178.0, 163.0], [178.0, 177.0], [60.0, 176.0]], ('Table:TAKE AWA /shashi', 0.9019342064857483)], [[[63.0, 177.0], [142.0, 179.0], [142.0, 190.0], [62.0, 188.0]], ('Customer Name:', 0.9517043232917786)], [[[62.0, 192.0], [87.0, 192.0], [87.0, 203.0], [62.0, 203.0]], ('Item', 0.9606476426124573)], [[[181.0, 191.0], [201.0, 191.0], [201.0, 203.0], [181.0, 203.0]], ('Qty', 0.9944355487823486)], [[[220.0, 190.0], [259.0, 190.0], [259.0, 201.0], [220.0, 201.0]], ('Amount', 0.9985100626945496)], [[[64.0, 207.0], [109.0, 207.0], [109.0, 218.0], [64.0, 218.0]], ('Veg sotthu', 0.7709460854530334)], [[[233.0, 205.0], [260.0, 205.0], [260.0, 216.0], [233.0, 216.0]], ('300.00', 0.969304621219635)], [[[64.0, 217.0], [142.0, 216.0], [142.0, 227.0], [64.0, 228.0]], ('StingHoppe Byen', 0.7664147019386292)], [[[233.0, 215.0], [260.0, 215.0], [260.0, 226.0], [233.0, 226.0]], ('35000', 0.6323069334030151)], [[[65.0, 227.0], [139.0, 226.0], [139.0, 237.0], [65.0, 238.0]], ('Llundhu Vada Eah', 0.6579774618148804)], [[[236.0, 226.0], [260.0, 226.0], [260.0, 237.0], [236.0, 237.0]], ('75.00', 0.9884247779846191)], [[[66.0, 238.0], [118.0, 238.0], [118.0, 248.0], [66.0, 248.0]], ('Pannerkofto', 0.7601109147071838)], [[[233.0, 236.0], [261.0, 236.0], [261.0, 247.0], [233.0, 247.0]], ('490.00', 0.9707508087158203)], [[[65.0, 249.0], [88.0, 249.0], [88.0, 260.0], [65.0, 260.0]], ('Neen', 0.8396168947219849)], [[[234.0, 247.0], [261.0, 247.0], [261.0, 258.0], [234.0, 258.0]], ('150.00', 0.9834986329078674)], [[[62.0, 260.0], [87.0, 260.0], [87.0, 271.0], [62.0, 271.0]], ('Total', 0.9982113838195801)], [[[223.0, 258.0], [259.0, 258.0], [259.0, 269.0], [223.0, 269.0]], ('1,365.00', 0.978068470954895)], [[[62.0, 269.0], [125.0, 267.0], [125.0, 281.0], [63.0, 283.0]], ('Service Charge', 0.9499713778495789)], [[[238.0, 268.0], [259.0, 268.0], [259.0, 280.0], [238.0, 280.0]], ('0.00', 0.995510458946228)], [[[64.0, 283.0], [84.0, 283.0], [84.0, 295.0], [64.0, 295.0]], ('VAT', 0.9951688647270203)], [[[239.0, 281.0], [260.0, 281.0], [260.0, 292.0], [239.0, 292.0]], ('0.00', 0.9916858077049255)], [[[63.0, 292.0], [84.0, 292.0], [84.0, 303.0], [63.0, 303.0]], ('TDL', 0.9898317456245422)], [[[64.0, 301.0], [84.0, 301.0], [84.0, 312.0], [64.0, 312.0]], ('NBT', 0.9909800887107849)], [[[239.0, 292.0], [261.0, 292.0], [261.0, 303.0], [239.0, 303.0]], ('0.00', 0.9940323233604431)], [[[238.0, 308.0], [260.0, 308.0], [260.0, 319.0], [238.0, 319.0]], ('0.00', 0.9931007623672485)], [[[239.0, 300.0], [260.0, 300.0], [260.0, 311.0], [239.0, 311.0]], ('0.00', 0.990565836429596)], [[[60.0, 311.0], [142.0, 306.0], [142.0, 319.0], [61.0, 324.0]], ('Discount Amount', 0.9810290932655334)], [[[62.0, 321.0], [107.0, 318.0], [108.0, 331.0], [63.0, 334.0]], ('Net Totai', 0.8984462022781372)], [[[220.0, 320.0], [259.0, 320.0], [259.0, 331.0], [220.0, 331.0]], ('1,365.00', 0.9375005960464478)], [[[64.0, 330.0], [122.0, 330.0], [122.0, 342.0], [64.0, 342.0]], ('Paid Amount', 0.9651256799697876)], [[[220.0, 330.0], [259.0, 330.0], [259.0, 341.0], [220.0, 341.0]], ('2,000.00', 0.9585721492767334)], [[[64.0, 341.0], [102.0, 341.0], [102.0, 352.0], [64.0, 352.0]], ('Balance', 0.9938623309135437)], [[[223.0, 338.0], [259.0, 338.0], [259.0, 349.0], [223.0, 349.0]], ('-635.00', 0.931135356426239)], [[[65.0, 353.0], [117.0, 349.0], [117.0, 360.0], [66.0, 364.0]], ('No ofitems', 0.9116784334182739)], [[[205.0, 361.0], [258.0, 358.0], [259.0, 372.0], [206.0, 375.0]], ('1,365.00', 0.9669530391693115)], [[[116.0, 373.0], [207.0, 375.0], [207.0, 386.0], [116.0, 384.0]], ('Thark You Came Again', 0.8973310589790344)], [[[112.0, 384.0], [215.0, 384.0], [215.0, 394.0], [112.0, 394.0]], ('Software by www.ims.lk', 0.9481247067451477)], [[[124.0, 395.0], [204.0, 395.0], [204.0, 408.0], [124.0, 408.0]], ('Tel:0115-747072', 0.949494481086731)]]	{"store_name": "VasantaBhavan VegetarianFamilyRestaurant", "store_addr": "No.19/1,HortonPlace,Colombo-07.SriLanka", "telephone": "Hotline:112665598/766300387 0115-747072", "date": "25/02/2017", "time": "18:45:42PM", "subtotal": "1,365.00", "tax": "0.00 0.00 0.00", "total": "1,365.00 1,365.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "Item", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[128.0, 243.0], [803.0, 243.0], [803.0, 365.0], [128.0, 365.0]], ('SAFEWAY', 0.997339129447937)], [[[1023.0, 353.0], [1064.0, 353.0], [1064.0, 382.0], [1023.0, 382.0]], ('TM', 0.9900665283203125)], [[[104.0, 428.0], [593.0, 428.0], [593.0, 467.0], [104.0, 467.0]], ('STORE MGR JIM BROWN', 0.9409721493721008)], [[[775.0, 427.0], [1081.0, 416.0], [1083.0, 455.0], [777.0, 465.0]], ('480-755-1844', 0.9825380444526672)], [[[181.0, 478.0], [978.0, 470.0], [979.0, 515.0], [181.0, 523.0]], ('THANK YOU FOR SHOPPING WITH US!', 0.9335387349128723)], [[[387.0, 680.0], [767.0, 677.0], [767.0, 722.0], [387.0, 725.0]], ('MISCELLANEOUS', 0.9979867339134216)], [[[978.0, 773.0], [1101.0, 773.0], [1101.0, 822.0], [978.0, 822.0]], ('5.95', 0.9960858225822449)], [[[14.0, 788.0], [84.0, 788.0], [84.0, 835.0], [14.0, 835.0]], ('MR', 0.9965468645095825)], [[[267.0, 787.0], [678.0, 783.0], [679.0, 823.0], [268.0, 827.0]], ('PROCESSING FEE', 0.9618257880210876)], [[[267.0, 838.0], [770.0, 833.0], [771.0, 873.0], [268.0, 878.0]], ('MASTERCARD100.00', 0.9250469207763672)], [[[924.0, 829.0], [1099.0, 825.0], [1100.0, 866.0], [925.0, 870.0]], ('100.00', 0.9924664497375488)], [[[14.0, 840.0], [82.0, 840.0], [82.0, 887.0], [14.0, 887.0]], ('MR', 0.9965218305587769)], [[[710.0, 886.0], [798.0, 881.0], [800.0, 924.0], [712.0, 929.0]], ('BAL', 0.9982314109802246)], [[[923.0, 877.0], [1102.0, 871.0], [1103.0, 918.0], [925.0, 924.0]], ('105.95', 0.9975120425224304)], [[[266.0, 888.0], [360.0, 888.0], [360.0, 933.0], [266.0, 933.0]], ('TAX', 0.9980265498161316)], [[[562.0, 887.0], [661.0, 887.0], [661.0, 930.0], [562.0, 930.0]], ('.00', 0.9665420055389404)], [[[116.0, 897.0], [234.0, 897.0], [234.0, 932.0], [116.0, 932.0]], ('**', 0.6731789112091064)], [[[923.0, 930.0], [1103.0, 925.0], [1105.0, 971.0], [925.0, 977.0]], ('105.95', 0.9956760406494141)], [[[17.0, 943.0], [82.0, 943.0], [82.0, 992.0], [17.0, 992.0]], ('VF', 0.981203556060791)], [[[266.0, 942.0], [566.0, 938.0], [566.0, 983.0], [266.0, 987.0]], ('DEBIT CARD', 0.9536160230636597)], [[[1024.0, 1033.0], [1110.0, 1033.0], [1110.0, 1082.0], [1024.0, 1082.0]], ('.00', 0.9938512444496155)], [[[269.0, 1048.0], [445.0, 1048.0], [445.0, 1088.0], [269.0, 1088.0]], ('CHANGE', 0.9985247254371643)], [[[58.0, 1105.0], [983.0, 1088.0], [984.0, 1128.0], [58.0, 1145.0]], ('7/21/1107:4515350700607469', 0.9902052283287048)], [[[179.0, 1309.0], [1048.0, 1293.0], [1049.0, 1338.0], [180.0, 1354.0]], ('YOUR CASHIER TODAY WAS BONNIE', 0.9689953923225403)], [[[878.0, 1448.0], [1004.0, 1448.0], [1004.0, 1503.0], [878.0, 1503.0]], ('3926', 0.9987157583236694)], [[[262.0, 1462.0], [365.0, 1462.0], [365.0, 1518.0], [262.0, 1518.0]], ('DAN', 0.9981358647346497)]]	{"store_name": "SAFEWAY", "store_addr": "", "telephone": "480-755-1844", "date": "7/21/11", "time": "07:45", "subtotal": "", "tax": "", "total": "105.95", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PROCESSINGFEE", "item_value": "5.95", "item_quantity": "1"}, {"item_key": "", "item_name": "MASTERCARD", "item_value": "100.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[675.0, 115.0], [1353.0, 123.0], [1352.0, 191.0], [674.0, 183.0]], ('SHELL CANADA PRODUCTS', 0.9598120450973511)], [[[516.0, 176.0], [1503.0, 198.0], [1501.0, 276.0], [514.0, 254.0]], ('4191 NORTH ROAD & LOUGHEED HWY', 0.9318885803222656)], [[[701.0, 258.0], [1319.0, 280.0], [1316.0, 348.0], [698.0, 326.0]], ('BURNABYBC V3J 1S3', 0.9504357576370239)], [[[808.0, 343.0], [1256.0, 358.0], [1254.0, 426.0], [806.0, 411.0]], ('604421-4630', 0.9936363697052002)], [[[406.0, 414.0], [1403.0, 450.0], [1398.0, 559.0], [402.0, 522.0]], (' VOID TICKET', 0.9316170811653137)], [[[1418.0, 458.0], [1629.0, 467.0], [1625.0, 548.0], [1414.0, 540.0]], ('', 0.9044899940490723)], [[[385.0, 533.0], [877.0, 555.0], [874.0, 623.0], [381.0, 601.0]], ('Tax Description', 0.979168176651001)], [[[1267.0, 559.0], [1386.0, 570.0], [1379.0, 648.0], [1260.0, 637.0]], ('Qty', 0.9982876777648926)], [[[1457.0, 571.0], [1655.0, 571.0], [1655.0, 646.0], [1457.0, 646.0]], ('Amount', 0.9986936450004578)], [[[389.0, 704.0], [421.0, 704.0], [421.0, 748.0], [389.0, 748.0]], ('F', 0.804537296295166)], [[[503.0, 696.0], [940.0, 715.0], [937.0, 786.0], [500.0, 767.0]], ('Prepay:Bronze', 0.9682886600494385)], [[[1022.0, 717.0], [1196.0, 717.0], [1196.0, 792.0], [1022.0, 792.0]], ('No.5', 0.8762573003768921)], [[[1460.0, 721.0], [1662.0, 721.0], [1662.0, 796.0], [1460.0, 796.0]], ('$40.00', 0.9754099249839783)], [[[464.0, 774.0], [940.0, 793.0], [937.0, 864.0], [462.0, 846.0]], ('ON-SITE CUBES', 0.9355124235153198)], [[[1484.0, 804.0], [1660.0, 794.0], [1663.0, 866.0], [1487.0, 875.0]], ('$2.39', 0.9882763028144836)], [[[513.0, 856.0], [1037.0, 875.0], [1034.0, 946.0], [510.0, 927.0]], ('ARCTIC 12KG BULK', 0.8760693073272705)], [[[1488.0, 877.0], [1680.0, 877.0], [1680.0, 949.0], [1488.0, 949.0]], ('$85990', 0.6287472248077393)], [[[513.0, 934.0], [818.0, 946.0], [815.0, 1017.0], [510.0, 1006.0]], ('AIR MILES', 0.9404892325401306)], [[[1307.0, 959.0], [1349.0, 959.0], [1349.0, 1017.0], [1307.0, 1017.0]], ('1', 0.9910197854042053)], [[[1488.0, 952.0], [1662.0, 952.0], [1662.0, 1027.0], [1488.0, 1027.0]], ('$0.00', 0.9979314804077148)], [[[1061.0, 1108.0], [1339.0, 1108.0], [1339.0, 1170.0], [1061.0, 1170.0]], ('Sub Total', 0.9462997913360596)], [[[1452.0, 1103.0], [1656.0, 1094.0], [1660.0, 1169.0], [1456.0, 1177.0]], ('$51.38', 0.9915716648101807)], [[[481.0, 1166.0], [755.0, 1174.0], [753.0, 1248.0], [479.0, 1240.0]], ('5.0%GST', 0.99139004945755)], [[[838.0, 1175.0], [1041.0, 1188.0], [1036.0, 1259.0], [833.0, 1246.0]], ('tax on', 0.9658980965614319)], [[[1179.0, 1183.0], [1339.0, 1183.0], [1339.0, 1248.0], [1179.0, 1248.0]], ('$0.00', 0.9957579374313354)], [[[1488.0, 1183.0], [1655.0, 1183.0], [1655.0, 1248.0], [1488.0, 1248.0]], ('$0.00', 0.9978688955307007)], [[[487.0, 1251.0], [755.0, 1251.0], [755.0, 1323.0], [487.0, 1323.0]], ('7.0%PST', 0.976676881313324)], [[[836.0, 1257.0], [1037.0, 1266.0], [1034.0, 1327.0], [834.0, 1318.0]], ('tax on', 0.9652853608131409)], [[[1179.0, 1261.0], [1342.0, 1261.0], [1342.0, 1326.0], [1179.0, 1326.0]], ('$0.00', 0.8175514936447144)], [[[1485.0, 1258.0], [1655.0, 1258.0], [1655.0, 1323.0], [1485.0, 1323.0]], ('$0.00', 0.9743208885192871)], [[[1033.0, 1336.0], [1335.0, 1336.0], [1335.0, 1397.0], [1033.0, 1397.0]], ('TOTAL', 0.9977113604545593)], [[[1448.0, 1328.0], [1662.0, 1314.0], [1667.0, 1399.0], [1454.0, 1412.0]], ('$518', 0.697528064250946)], [[[403.0, 1635.0], [692.0, 1635.0], [692.0, 1697.0], [403.0, 1697.0]], ('AIR MILES', 0.9728467464447021)], [[[400.0, 1710.0], [1088.0, 1710.0], [1088.0, 1778.0], [400.0, 1778.0]], ('CardNumXXXXXXX0552', 0.93848717212677)], [[[403.0, 1785.0], [904.0, 1785.0], [904.0, 1853.0], [403.0, 1853.0]], ('Termina1:01291', 0.9533929824829102)], [[[403.0, 1867.0], [1585.0, 1860.0], [1586.0, 1921.0], [404.0, 1928.0]], ('Approva1 : 201137347010017070210052555', 0.9605884552001953)], [[[932.0, 2156.0], [1033.0, 2156.0], [1033.0, 2227.0], [932.0, 2227.0]], ('GST', 0.996435821056366)], [[[1203.0, 2152.0], [1349.0, 2152.0], [1349.0, 2230.0], [1203.0, 2230.0]], ('5.0%', 0.9912056922912598)], [[[403.0, 2162.0], [817.0, 2162.0], [817.0, 2230.0], [403.0, 2230.0]], ('Fuel Includes', 0.975795328617096)], [[[1485.0, 2156.0], [1659.0, 2156.0], [1659.0, 2230.0], [1485.0, 2230.0]], ('$1.90', 0.9924647212028503)], [[[396.0, 2238.0], [816.0, 2230.0], [818.0, 2301.0], [397.0, 2309.0]], ('Fuel Includes', 0.9348729848861694)], [[[928.0, 2234.0], [1033.0, 2234.0], [1033.0, 2302.0], [928.0, 2302.0]], ('PST', 0.9958691596984863)], [[[1203.0, 2230.0], [1349.0, 2230.0], [1349.0, 2305.0], [1203.0, 2305.0]], ('7.0%', 0.9923418760299683)], [[[1485.0, 2234.0], [1659.0, 2234.0], [1659.0, 2309.0], [1485.0, 2309.0]], ('$0.00', 0.9975131154060364)], [[[407.0, 2390.0], [1617.0, 2390.0], [1617.0, 2448.0], [407.0, 2448.0]], ('******* YOUR OPINION COUNTS ******', 0.9483489990234375)], [[[501.0, 2465.0], [1558.0, 2468.0], [1558.0, 2530.0], [501.0, 2526.0]], ('Tel1 us about your recent visit at', 0.9364560842514038)], [[[716.0, 2536.0], [1346.0, 2536.0], [1346.0, 2604.0], [716.0, 2604.0]], ('www.shell.ca/opinion', 0.9622365236282349)], [[[400.0, 2611.0], [1662.0, 2611.0], [1662.0, 2689.0], [400.0, 2689.0]], ('and you could win a $500 She11 Gift Card', 0.939527153968811)], [[[751.0, 2696.0], [1280.0, 2696.0], [1280.0, 2754.0], [751.0, 2754.0]], ('Receipt Required', 0.976847231388092)], [[[872.0, 2840.0], [1160.0, 2832.0], [1162.0, 2903.0], [874.0, 2911.0]], ('THANK YOU', 0.9653590321540833)], [[[623.0, 2910.0], [1405.0, 2917.0], [1404.0, 2989.0], [622.0, 2982.0]], ('Questions? 1-800-661-1600', 0.970883846282959)], [[[390.0, 3056.0], [1631.0, 3067.0], [1630.0, 3159.0], [389.0, 3148.0]], ('REG1CSH:POS1POS 1 TRAN:5658512', 0.9225683808326721)], [[[396.0, 3146.0], [1007.0, 3131.0], [1009.0, 3212.0], [398.0, 3227.0]], ('7/2/201718:09:12', 0.9569827914237976)], [[[1271.0, 3148.0], [1593.0, 3159.0], [1591.0, 3234.0], [1268.0, 3222.0]], ('STC01291', 0.9824926853179932)]]	{"store_name": "SHELLCANADAPRODUCTS", "store_addr": "BURNABY,BCV3J1S3 4191NORTHROAD(&LOUGHEEDHWY", "telephone": "(604)421-4630", "date": "7/2/2017", "time": "18:09:12", "subtotal": "$51.38", "tax": "$1.90 $0.00 $0.00 $0.00", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Prepay:Bronze", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ON-SITECUBES", "item_value": "$2.39", "item_quantity": "1"}, {"item_key": "", "item_name": "ARCTIC12KGBULK", "item_value": "$40.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AIRMILES", "item_value": "", "item_quantity": ""}, {"item_key": "Description", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[376.0, 341.0], [1016.0, 223.0], [1029.0, 291.0], [389.0, 408.0]], ('Minneapolis Airport', 0.9864675402641296)], [[[1288.0, 469.0], [1483.0, 433.0], [1498.0, 509.0], [1302.0, 544.0]], ('G592', 0.5139710903167725)], [[[97.0, 547.0], [513.0, 471.0], [527.0, 547.0], [112.0, 623.0]], ('1021 Kasey K', 0.9416261315345764)], [[[637.0, 603.0], [923.0, 547.0], [937.0, 615.0], [650.0, 671.0]], ('Chk 4624', 0.9526379108428955)], [[[76.0, 706.0], [361.0, 658.0], [375.0, 736.0], [89.0, 784.0]], ('Tb135/1', 0.9880720973014832)], [[[518.0, 709.0], [1077.0, 599.0], [1090.0, 666.0], [532.0, 776.0]], ("Apr25'13 01:35PM", 0.9215347170829773)], [[[750.0, 827.0], [904.0, 802.0], [916.0, 872.0], [762.0, 897.0]], ('In', 0.9987471103668213)], [[[1295.0, 874.0], [1488.0, 838.0], [1504.0, 919.0], [1311.0, 955.0]], ('17.99', 0.9956210851669312)], [[[255.0, 930.0], [689.0, 844.0], [703.0, 911.0], [268.0, 997.0]], ('Dining', 0.9986286163330078)], [[[1315.0, 960.0], [1510.0, 922.0], [1527.0, 1001.0], [1331.0, 1039.0]], ('16.00', 0.9945448637008667)], [[[268.0, 1006.0], [634.0, 936.0], [648.0, 1008.0], [282.0, 1078.0]], ('5373900003', 0.999477744102478)], [[[212.0, 1106.0], [754.0, 997.0], [769.0, 1070.0], [228.0, 1179.0]], ('1 Klinker Brick', 0.9361851811408997)], [[[1362.0, 1127.0], [1560.0, 1089.0], [1576.0, 1171.0], [1378.0, 1209.0]], ('16.00', 0.9968733787536621)], [[[223.0, 1192.0], [740.0, 1089.0], [756.0, 1162.0], [239.0, 1265.0]], ('1 Five Cheeses', 0.952938973903656)], [[[1385.0, 1214.0], [1583.0, 1179.0], [1597.0, 1260.0], [1399.0, 1295.0]], ('17.99', 0.9862731099128723)], [[[1439.0, 1297.0], [1608.0, 1264.0], [1624.0, 1346.0], [1456.0, 1379.0]], ('2.92', 0.992089569568634)], [[[317.0, 1347.0], [692.0, 1272.0], [709.0, 1356.0], [334.0, 1431.0]], ('Food Total', 0.9721261262893677)], [[[1239.0, 1425.0], [1615.0, 1356.0], [1633.0, 1450.0], [1257.0, 1520.0]], ('36.91', 0.996251106262207)], [[[328.0, 1443.0], [706.0, 1367.0], [723.0, 1443.0], [344.0, 1520.0]], ('Wine Total', 0.9598655700683594)], [[[345.0, 1534.0], [692.0, 1458.0], [711.0, 1541.0], [364.0, 1617.0]], ('Tax Total', 0.9469431638717651)], [[[209.0, 1662.0], [862.0, 1526.0], [878.0, 1602.0], [225.0, 1738.0]], ('02:03PM Tota1 Due', 0.9426278471946716)], [[[759.0, 1841.0], [1188.0, 1747.0], [1207.0, 1831.0], [778.0, 1925.0]], ('THANK YOU', 0.9615342617034912)], [[[532.0, 1994.0], [1091.0, 1865.0], [1112.0, 1956.0], [554.0, 2085.0]], ('PLEASE PAY YO', 0.8988665342330933)], [[[894.0, 2106.0], [1053.0, 1970.0], [1411.0, 2376.0], [1251.0, 2512.0]], ('TARGET', 0.9356339573860168)]]	{"store_name": "SUROYK'S", "store_addr": "MinneapolisAirport", "telephone": "", "date": "Apr25'13", "time": "01:35PM", "subtotal": "", "tax": "2.92", "total": "36.91", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "FiveCheeses", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KlinkerBrick", "item_value": "17.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[57.0, 24.0], [166.0, 39.0], [163.0, 60.0], [54.0, 45.0]], ('Dine-In', 0.992136538028717)], [[[58.0, 46.0], [106.0, 51.0], [104.0, 70.0], [56.0, 65.0]], ('#A3', 0.9982789158821106)], [[[124.0, 75.0], [296.0, 82.0], [295.0, 100.0], [123.0, 93.0]], ('Lao Shangra1 Restaurant', 0.9113746881484985)], [[[124.0, 94.0], [303.0, 100.0], [302.0, 117.0], [123.0, 111.0]], ('2163 S.China Place.iF', 0.8829458355903625)], [[[153.0, 114.0], [275.0, 117.0], [274.0, 135.0], [153.0, 132.0]], ('Chicago,IL 60616', 0.900676429271698)], [[[76.0, 126.0], [341.0, 133.0], [340.0, 157.0], [75.0, 150.0]], ('Phone312)808-0830 Fax312)808-0380', 0.9281320571899414)], [[[137.0, 167.0], [281.0, 170.0], [280.0, 190.0], [137.0, 187.0]], (' Reprint 1', 0.8709734678268433)], [[[53.0, 186.0], [193.0, 189.0], [193.0, 207.0], [52.0, 204.0]], ('Date:0ct20.2014', 0.8982009887695312)], [[[233.0, 189.0], [332.0, 189.0], [332.0, 206.0], [233.0, 206.0]], ('T1me:02:45PM', 0.8398047089576721)], [[[52.0, 206.0], [134.0, 206.0], [134.0, 223.0], [52.0, 223.0]], ('ServerTY', 0.9762248396873474)], [[[233.0, 208.0], [312.0, 208.0], [312.0, 225.0], [233.0, 225.0]], ('Guest2', 0.8535494208335876)], [[[51.0, 225.0], [140.0, 225.0], [140.0, 243.0], [51.0, 243.0]], ('B111:50572', 0.9044988751411438)], [[[233.0, 226.0], [318.0, 226.0], [318.0, 243.0], [233.0, 243.0]], ('TableA3', 0.9276388883590698)], [[[63.0, 262.0], [76.0, 269.0], [69.0, 281.0], [56.0, 274.0]], ('2', 0.5044258832931519)], [[[90.0, 262.0], [191.0, 262.0], [191.0, 279.0], [90.0, 279.0]], ('Xfao Long Bao', 0.8521400094032288)], [[[330.0, 262.0], [372.0, 262.0], [372.0, 281.0], [330.0, 281.0]], ('11.90', 0.9743688702583313)], [[[61.0, 285.0], [70.0, 285.0], [70.0, 296.0], [61.0, 296.0]], ('1', 0.9056611657142639)], [[[89.0, 280.0], [211.0, 279.0], [211.0, 296.0], [90.0, 297.0]], ('Pot Stickers (6)', 0.8922828435897827)], [[[335.0, 278.0], [373.0, 278.0], [373.0, 301.0], [335.0, 301.0]], ('550', 0.7412624359130859)], [[[61.0, 304.0], [69.0, 304.0], [69.0, 314.0], [61.0, 314.0]], ('1', 0.9442794919013977)], [[[90.0, 298.0], [241.0, 298.0], [241.0, 315.0], [90.0, 315.0]], ('Shangha1 Dump1ing6', 0.9005007147789001)], [[[335.0, 297.0], [374.0, 297.0], [374.0, 320.0], [335.0, 320.0]], ('5.50', 0.9934380054473877)], [[[89.0, 317.0], [220.0, 316.0], [220.0, 334.0], [90.0, 336.0]], ('Scalfon Pan Cake', 0.9011443853378296)], [[[336.0, 315.0], [374.0, 315.0], [374.0, 339.0], [336.0, 339.0]], ('5.50', 0.9902594685554504)], [[[120.0, 352.0], [183.0, 352.0], [183.0, 373.0], [120.0, 373.0]], ('Subtotal', 0.9929972290992737)], [[[331.0, 356.0], [374.0, 356.0], [374.0, 375.0], [331.0, 375.0]], ('28.40', 0.8793213963508606)], [[[121.0, 373.0], [148.0, 373.0], [148.0, 391.0], [121.0, 391.0]], ('Tax', 0.9694223403930664)], [[[335.0, 374.0], [376.0, 374.0], [376.0, 397.0], [335.0, 397.0]], ('3.15', 0.9900961518287659)], [[[47.0, 416.0], [126.0, 406.0], [131.0, 439.0], [51.0, 449.0]], ('Total', 0.9916278719902039)], [[[290.0, 409.0], [377.0, 414.0], [374.0, 449.0], [288.0, 444.0]], ('31.55', 0.9163652658462524)]]	{"store_name": "LaoShangHaiRestaurant", "store_addr": "Chicago,IL60616 2163S,ChinaPlace,1F", "telephone": "(312)808-0830", "date": "Oct20,2014", "time": "02:45PM", "subtotal": "28.40", "tax": "3.15", "total": "31.55", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ScallionPanCake", "item_value": "5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "ShanghaiDumpling(6)", "item_value": "5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "PotStickers(6)", "item_value": "5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "XiaoLongBao", "item_value": "11.90", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[74.0, 13.0], [177.0, 18.0], [176.0, 31.0], [73.0, 27.0]], ('e16564844001-Fax', 0.8467651605606079)], [[[77.0, 5.0], [172.0, 8.0], [172.0, 21.0], [77.0, 17.0]], ('02-K1SIAPRE789096', 0.7452649474143982)], [[[30.0, 30.0], [112.0, 34.0], [111.0, 48.0], [29.0, 44.0]], ('Loc/Mach P0501', 0.6390878558158875)], [[[31.0, 41.0], [98.0, 45.0], [97.0, 58.0], [30.0, 53.0]], ('Receipts030240', 0.7535650134086609)], [[[31.0, 52.0], [70.0, 54.0], [69.0, 65.0], [30.0, 62.0]], ('User:AMY', 0.8138160705566406)], [[[31.0, 59.0], [112.0, 64.0], [111.0, 76.0], [30.0, 72.0]], ('14/2/20159:41:12P', 0.8576697707176208)], [[[32.0, 70.0], [69.0, 74.0], [68.0, 84.0], [31.0, 81.0]], ('Oustoner:', 0.8249515295028687)], [[[33.0, 87.0], [69.0, 90.0], [68.0, 102.0], [32.0, 98.0]], ('DESC/COOE', 0.9153226017951965)], [[[151.0, 93.0], [184.0, 95.0], [183.0, 107.0], [150.0, 104.0]], ('AMCUNTSS', 0.6229450702667236)], [[[32.0, 103.0], [66.0, 107.0], [64.0, 120.0], [31.0, 117.0]], ('GIRL', 0.8266494870185852)], [[[30.0, 114.0], [62.0, 114.0], [62.0, 125.0], [30.0, 125.0]], ('C0101001', 0.6852197647094727)], [[[161.0, 119.0], [184.0, 121.0], [183.0, 133.0], [160.0, 130.0]], ('10.00', 0.8515739440917969)], [[[25.0, 136.0], [47.0, 139.0], [46.0, 151.0], [24.0, 148.0]], ('TOTAL', 0.9183138012886047)], [[[24.0, 147.0], [57.0, 150.0], [56.0, 160.0], [23.0, 158.0]], ('SUSTOTAL', 0.8391456604003906)], [[[160.0, 144.0], [184.0, 147.0], [183.0, 159.0], [159.0, 156.0]], ('10.00', 0.986040472984314)], [[[23.0, 157.0], [60.0, 159.0], [59.0, 171.0], [22.0, 169.0]], ('TOTAL CUE', 0.7509958148002625)], [[[160.0, 154.0], [184.0, 157.0], [183.0, 168.0], [159.0, 166.0]], ('10.00', 0.964724063873291)], [[[159.0, 164.0], [184.0, 166.0], [183.0, 178.0], [158.0, 175.0]], ('10.00', 0.9613867998123169)], [[[21.0, 185.0], [105.0, 191.0], [104.0, 204.0], [20.0, 199.0]], ('UTAKMEROF', 0.6093910336494446)], [[[22.0, 178.0], [40.0, 178.0], [40.0, 188.0], [22.0, 188.0]], ('Cash', 0.9903886318206787)], [[[22.0, 197.0], [84.0, 201.0], [83.0, 212.0], [21.0, 208.0]], ('SALESPERONCNICO', 0.7746161818504333)], [[[171.0, 188.0], [183.0, 188.0], [183.0, 196.0], [171.0, 196.0]], ('10.', 0.8774194717407227)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "14/2/2015", "time": "9:41:12PM", "subtotal": "10.00", "tax": "", "total": "10.00 10.00 10", "ignore": " ", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[110.0, 55.0], [189.0, 55.0], [189.0, 69.0], [110.0, 69.0]], ('The Saxon Hotel', 0.927749514579773)], [[[135.0, 70.0], [166.0, 70.0], [166.0, 85.0], [135.0, 85.0]], ('Qunu', 0.9686132669448853)], [[[88.0, 80.0], [159.0, 85.0], [158.0, 102.0], [87.0, 97.0]], ('1000057 Mpum1', 0.8499187231063843)], [[[78.0, 107.0], [105.0, 111.0], [103.0, 127.0], [76.0, 123.0]], ('8/1', 0.9919821619987488)], [[[196.0, 109.0], [229.0, 109.0], [229.0, 125.0], [196.0, 125.0]], ('GST2', 0.986098051071167)], [[[130.0, 121.0], [175.0, 124.0], [175.0, 141.0], [129.0, 138.0]], ('4629', 0.9781925678253174)], [[[123.0, 136.0], [182.0, 139.0], [182.0, 153.0], [122.0, 151.0]], ('MR JOUBERT', 0.9266063570976257)], [[[113.0, 151.0], [192.0, 152.0], [191.0, 166.0], [113.0, 165.0]], ('20SEP15 11:50', 0.9203917980194092)], [[[80.0, 178.0], [168.0, 178.0], [168.0, 192.0], [80.0, 192.0]], ('2 San Pe1leg 750', 0.8822561502456665)], [[[194.0, 176.0], [231.0, 179.0], [230.0, 194.0], [193.0, 192.0]], ('150.00', 0.9934417605400085)], [[[80.0, 190.0], [179.0, 192.0], [179.0, 205.0], [79.0, 203.0]], ('1 GLS Oak Va11 CHA', 0.8654571771621704)], [[[198.0, 192.0], [230.0, 192.0], [230.0, 206.0], [198.0, 206.0]], ('95.00', 0.996917724609375)], [[[80.0, 205.0], [142.0, 205.0], [142.0, 219.0], [80.0, 219.0]], ('1 Earl Grey', 0.8538360595703125)], [[[198.0, 205.0], [230.0, 205.0], [230.0, 219.0], [198.0, 219.0]], ('22.00', 0.9956928491592407)], [[[79.0, 217.0], [168.0, 218.0], [167.0, 232.0], [78.0, 231.0]], ('3 Cappucino Foan', 0.9258356094360352)], [[[198.0, 218.0], [230.0, 218.0], [230.0, 233.0], [198.0, 233.0]], ('84.00', 0.9943413734436035)], [[[80.0, 230.0], [168.0, 231.0], [167.0, 245.0], [79.0, 244.0]], ('1 GLS Jordan CAB', 0.9284438490867615)], [[[194.0, 232.0], [230.0, 232.0], [230.0, 247.0], [194.0, 247.0]], ('115.00', 0.9931511282920837)], [[[80.0, 243.0], [157.0, 245.0], [157.0, 259.0], [79.0, 257.0]], ('1 GLS Fox Rose', 0.9065655469894409)], [[[193.0, 246.0], [230.0, 246.0], [230.0, 260.0], [193.0, 260.0]], ('165.00', 0.9956555366516113)], [[[79.0, 256.0], [161.0, 258.0], [161.0, 272.0], [78.0, 270.0]], ('2 Brunch Buffet', 0.9172019958496094)], [[[192.0, 259.0], [230.0, 259.0], [230.0, 274.0], [192.0, 274.0]], ('900.00', 0.9958586692810059)], [[[79.0, 269.0], [156.0, 273.0], [156.0, 288.0], [78.0, 283.0]], ('1 Salmon Trout', 0.9210658669471741)], [[[203.0, 273.0], [230.0, 273.0], [230.0, 288.0], [203.0, 288.0]], ('0.00', 0.996310830116272)], [[[80.0, 283.0], [171.0, 287.0], [170.0, 302.0], [79.0, 297.0]], ('1 Carving Trolley', 0.9178404211997986)], [[[91.0, 296.0], [114.0, 299.0], [113.0, 314.0], [90.0, 311.0]], ('Food', 0.9968120455741882)], [[[203.0, 287.0], [230.0, 287.0], [230.0, 302.0], [203.0, 302.0]], ('0.00', 0.9957263469696045)], [[[194.0, 299.0], [230.0, 302.0], [229.0, 317.0], [193.0, 314.0]], ('106.00', 0.9914327263832092)], [[[89.0, 310.0], [135.0, 313.0], [135.0, 327.0], [88.0, 324.0]], ('Beverage', 0.9955586194992065)], [[[193.0, 312.0], [231.0, 315.0], [230.0, 330.0], [192.0, 327.0]], ('525.00', 0.9875061511993408)], [[[88.0, 323.0], [127.0, 326.0], [126.0, 341.0], [87.0, 338.0]], ('Brunch', 0.9927492141723633)], [[[192.0, 325.0], [230.0, 328.0], [229.0, 343.0], [191.0, 340.0]], ('900.00', 0.9940844178199768)], [[[67.0, 337.0], [156.0, 340.0], [156.0, 354.0], [67.0, 351.0]], ('13:37 Amount Due', 0.9337669014930725)], [[[182.0, 339.0], [230.0, 343.0], [229.0, 358.0], [181.0, 354.0]], ('R1531.00', 0.9948347806930542)], [[[66.0, 351.0], [151.0, 354.0], [151.0, 369.0], [66.0, 367.0]], ('188.02VAT 14%', 0.9394633769989014)], [[[192.0, 353.0], [237.0, 357.0], [235.0, 375.0], [191.0, 371.0]], ('1531.00', 0.9932433366775513)], [[[62.0, 382.0], [84.0, 382.0], [84.0, 398.0], [62.0, 398.0]], ('Tip', 0.9951983094215393)], [[[149.0, 374.0], [227.0, 380.0], [226.0, 402.0], [148.0, 396.0]], ('00', 0.7854372262954712)], [[[56.0, 408.0], [89.0, 411.0], [87.0, 429.0], [54.0, 426.0]], ('Total', 0.9895985722541809)]]	{"store_name": "TheSaxonHotel", "store_addr": "", "telephone": "", "date": "20SEP'15", "time": "11:50 13:37", "subtotal": "", "tax": "188.02", "total": "R1531.00 1531.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SanPelleg750", "item_value": "150.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GLSDakVallCHA", "item_value": "95.00", "item_quantity": "1"}, {"item_key": "", "item_name": "EarlGrey", "item_value": "22.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CappucinoFoam", "item_value": "84.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GLSJordanCAB", "item_value": "115.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GLSFoxRose", "item_value": "165.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BrunchBuffet", "item_value": "900.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SalmonTrout", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CarvingTrolley", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "106.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "525.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "900.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[200.0, 37.0], [344.0, 39.0], [344.0, 53.0], [200.0, 50.0]], ('Baby Sumo Sushi & Steakhouse', 0.9400575757026672)], [[[226.0, 51.0], [320.0, 51.0], [320.0, 63.0], [226.0, 63.0]], ('792 Zion Park Blvd', 0.9022597074508667)], [[[215.0, 63.0], [323.0, 63.0], [323.0, 77.0], [215.0, 77.0]], ('Springdale,UT 84767', 0.9303537607192993)], [[[223.0, 77.0], [313.0, 76.0], [313.0, 90.0], [224.0, 91.0]], ('ph435233-2103', 0.9895707368850708)], [[[213.0, 119.0], [328.0, 119.0], [328.0, 133.0], [213.0, 133.0]], ('babysumospringdale.com', 0.9681856036186218)], [[[203.0, 144.0], [337.0, 147.0], [336.0, 161.0], [203.0, 157.0]], ('TABLE:Dine In 9-1 Guest', 0.9369686841964722)], [[[212.0, 157.0], [322.0, 161.0], [321.0, 175.0], [211.0, 171.0]], ('Your Server was Lynda', 0.9583072662353516)], [[[217.0, 170.0], [321.0, 175.0], [320.0, 188.0], [216.0, 184.0]], ('7/23/2016 9:16:37PM', 0.9385421872138977)], [[[216.0, 185.0], [316.0, 188.0], [315.0, 202.0], [215.0, 199.0]], ('Sequence 0000025', 0.9591842889785767)], [[[230.0, 199.0], [298.0, 202.0], [298.0, 216.0], [229.0, 213.0]], ('ID0059331', 0.9923790693283081)], [[[159.0, 214.0], [183.0, 214.0], [183.0, 229.0], [159.0, 229.0]], ('ITEN', 0.5730595588684082)], [[[322.0, 215.0], [377.0, 215.0], [377.0, 232.0], [322.0, 232.0]], ('QTY PRICE', 0.944275438785553)], [[[159.0, 242.0], [198.0, 242.0], [198.0, 256.0], [159.0, 256.0]], ('Edanane', 0.9719141721725464)], [[[156.0, 253.0], [232.0, 255.0], [231.0, 272.0], [156.0, 269.0]], ('Steak/Shrimp', 0.9824655055999756)], [[[327.0, 247.0], [346.0, 247.0], [346.0, 258.0], [327.0, 258.0]], ('1', 0.9060457348823547)], [[[343.0, 246.0], [376.0, 246.0], [376.0, 260.0], [343.0, 260.0]], ('$4.95', 0.9916833639144897)], [[[324.0, 259.0], [377.0, 259.0], [377.0, 276.0], [324.0, 276.0]], ('1$20.95', 0.989488422870636)], [[[177.0, 270.0], [215.0, 270.0], [215.0, 283.0], [177.0, 283.0]], ('Medium', 0.9609796404838562)], [[[158.0, 284.0], [235.0, 284.0], [235.0, 298.0], [158.0, 298.0]], ('Jalapeno Popper', 0.9540848135948181)], [[[156.0, 296.0], [226.0, 298.0], [225.0, 312.0], [156.0, 310.0]], ('Sake Salmon', 0.8976629376411438)], [[[341.0, 288.0], [376.0, 288.0], [376.0, 302.0], [341.0, 302.0]], ('$10.50', 0.9910468459129333)], [[[345.0, 301.0], [376.0, 301.0], [376.0, 316.0], [345.0, 316.0]], ('$5.50', 0.9952957034111023)], [[[156.0, 312.0], [246.0, 312.0], [246.0, 326.0], [156.0, 326.0]], ('Spicy Yellow Tail', 0.9036546945571899)], [[[178.0, 325.0], [311.0, 328.0], [310.0, 342.0], [178.0, 339.0]], ('Sushi Mods * HANDROLL', 0.8946701884269714)], [[[346.0, 316.0], [376.0, 316.0], [376.0, 331.0], [346.0, 331.0]], ('$9.50', 0.9956949353218079)], [[[178.0, 340.0], [276.0, 342.0], [276.0, 356.0], [178.0, 354.0]], ('Sushi Mods ADD-S', 0.9310667514801025)], [[[344.0, 344.0], [374.0, 344.0], [374.0, 359.0], [344.0, 359.0]], ('$1.00', 0.9967576265335083)], [[[154.0, 355.0], [219.0, 355.0], [219.0, 369.0], [154.0, 369.0]], ('Rainbow Ro11', 0.9011399745941162)], [[[278.0, 356.0], [333.0, 358.0], [332.0, 372.0], [278.0, 369.0]], ('28$12.95', 0.9238537549972534)], [[[328.0, 358.0], [373.0, 358.0], [373.0, 372.0], [328.0, 372.0]], ('$25.90', 0.9726836681365967)], [[[232.0, 370.0], [275.0, 370.0], [275.0, 384.0], [232.0, 384.0]], ('Subtotal', 0.9928007125854492)], [[[340.0, 372.0], [373.0, 372.0], [373.0, 386.0], [340.0, 386.0]], ('$78.30', 0.946219265460968)], [[[231.0, 382.0], [291.0, 386.0], [291.0, 401.0], [230.0, 397.0]], ('Total Taxes', 0.9422925710678101)], [[[344.0, 386.0], [374.0, 386.0], [374.0, 400.0], [344.0, 400.0]], ('$6.77', 0.9936596155166626)], [[[228.0, 410.0], [290.0, 412.0], [290.0, 429.0], [227.0, 427.0]], ('Grand Total', 0.953363835811615)], [[[340.0, 413.0], [374.0, 413.0], [374.0, 428.0], [340.0, 428.0]], ('$85.07', 0.9928916096687317)], [[[152.0, 424.0], [233.0, 426.0], [232.0, 441.0], [152.0, 439.0]], ('Credit Purchase', 0.9722471833229065)]]	{"store_name": "BabySumoSushi&Steakhouse", "store_addr": "792ZionParkBlvd Springdale,UT84767", "telephone": "(435)233-2103", "date": "7/23/2016", "time": "9:16:37PM", "subtotal": "$78.30", "tax": "$6.77", "total": "$85.07", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Edamame", "item_value": "$4.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Steak/Shrimp", "item_value": "$20.95", "item_quantity": "1"}, {"item_key": "", "item_name": "-Medium", "item_value": "$10.50", "item_quantity": "1"}, {"item_key": "", "item_name": "JalapenoPopper", "item_value": "$1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Sake(Salmon)", "item_value": "$25.90", "item_quantity": "1"}, {"item_key": "", "item_name": "SpicyYellowTail", "item_value": "$5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "-SushiModsHANDROLL", "item_value": "$9.50", "item_quantity": "1"}, {"item_key": "", "item_name": "-SushiModsADD-S", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "RainbowRoll", "item_value": "", "item_quantity": ""}, {"item_key": "ITEM", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[97.0, 142.0], [414.0, 142.0], [414.0, 163.0], [97.0, 163.0]], ('Hong Kong Supermarket Elmhurst', 0.91855788230896)], [[[175.0, 163.0], [342.0, 168.0], [342.0, 190.0], [174.0, 185.0]], ('82-02 45th Ave.', 0.9294655323028564)], [[[175.0, 191.0], [345.0, 191.0], [345.0, 212.0], [175.0, 212.0]], ('ElmhurstNY 11373', 0.8972762823104858)], [[[195.0, 215.0], [326.0, 215.0], [326.0, 237.0], [195.0, 237.0]], ('718651-3838', 0.9731878042221069)], [[[57.0, 266.0], [454.0, 266.0], [454.0, 284.0], [57.0, 284.0]], ('Station 03 234341393958 Cashier # 1401', 0.9313023090362549)], [[[55.0, 288.0], [245.0, 288.0], [245.0, 309.0], [55.0, 309.0]], ('02/21/200916:15:49', 0.9655147194862366)], [[[52.0, 337.0], [125.0, 337.0], [125.0, 359.0], [52.0, 359.0]], ('137807', 0.9958226680755615)], [[[165.0, 339.0], [323.0, 339.0], [323.0, 357.0], [165.0, 357.0]], ('QUAKER QUICK OAI', 0.8750051259994507)], [[[372.0, 336.0], [428.0, 336.0], [428.0, 359.0], [372.0, 359.0]], ('$4.99', 0.9103041887283325)], [[[433.0, 337.0], [455.0, 337.0], [455.0, 357.0], [433.0, 357.0]], ('F', 0.9590476751327515)], [[[147.0, 363.0], [265.0, 363.0], [265.0, 384.0], [147.0, 384.0]], ('-L', 0.5691083669662476)], [[[51.0, 385.0], [126.0, 385.0], [126.0, 407.0], [51.0, 407.0]], ('205870', 0.9922541975975037)], [[[163.0, 387.0], [327.0, 387.0], [327.0, 409.0], [163.0, 409.0]], ('AROY-D COCONUT M', 0.9049407839775085)], [[[370.0, 386.0], [456.0, 383.0], [457.0, 406.0], [371.0, 410.0]], ('$1.78F', 0.9808540344238281)], [[[143.0, 409.0], [256.0, 412.0], [256.0, 434.0], [143.0, 432.0]], ('AROY-D', 0.9328461289405823)], [[[391.0, 411.0], [446.0, 411.0], [446.0, 434.0], [391.0, 434.0]], ('$17/2', 0.9964000582695007)], [[[145.0, 437.0], [246.0, 437.0], [246.0, 457.0], [145.0, 457.0]], ('$0.89 Each', 0.9519945383071899)], [[[51.0, 460.0], [126.0, 460.0], [126.0, 482.0], [51.0, 482.0]], ('136028', 0.9934903979301453)], [[[162.0, 462.0], [322.0, 462.0], [322.0, 480.0], [162.0, 480.0]], ('COCK FROZEN BAI', 0.9131308794021606)], [[[372.0, 460.0], [427.0, 460.0], [427.0, 482.0], [372.0, 482.0]], ('$0.99', 0.9955253601074219)], [[[434.0, 465.0], [450.0, 458.0], [457.0, 474.0], [441.0, 482.0]], ('F', 0.6126717329025269)], [[[164.0, 534.0], [307.0, 534.0], [307.0, 556.0], [164.0, 556.0]], ('Item Count4', 0.9265897274017334)], [[[183.0, 559.0], [344.0, 559.0], [344.0, 580.0], [183.0, 580.0]], ('Subtotal$7.76', 0.9582749605178833)], [[[231.0, 582.0], [345.0, 582.0], [345.0, 605.0], [231.0, 605.0]], ('Tax$0.00', 0.9718214273452759)], [[[212.0, 606.0], [345.0, 606.0], [345.0, 628.0], [212.0, 628.0]], ('Total$7.76', 0.9771134257316589)], [[[191.0, 633.0], [297.0, 633.0], [297.0, 654.0], [191.0, 654.0]], ('Payment', 0.9783902168273926)], [[[287.0, 631.0], [354.0, 631.0], [354.0, 654.0], [287.0, 654.0]], ('$20.00', 0.9863868355751038)], [[[152.0, 682.0], [295.0, 682.0], [295.0, 703.0], [152.0, 703.0]], ('Cash Change:', 0.9377341270446777)], [[[289.0, 681.0], [354.0, 681.0], [354.0, 703.0], [289.0, 703.0]], ('$12.24', 0.9894440174102783)], [[[203.0, 732.0], [301.0, 732.0], [301.0, 751.0], [203.0, 751.0]], ('No Refunds', 0.9237963557243347)], [[[113.0, 755.0], [401.0, 755.0], [401.0, 777.0], [113.0, 777.0]], ('Exchange or store credit only', 0.932975709438324)], [[[123.0, 782.0], [381.0, 782.0], [381.0, 800.0], [123.0, 800.0]], ('within7 days with receipt', 0.9328124523162842)], [[[142.0, 803.0], [370.0, 804.0], [370.0, 826.0], [142.0, 825.0]], ('Thank You For Shopping!', 0.9332216382026672)], [[[79.0, 854.0], [429.0, 853.0], [429.0, 871.0], [79.0, 873.0]], ('03234341393958', 0.9800087213516235)]]	{"store_name": "HongKongSupermarket(ELmhurst)", "store_addr": "82-0245thAve., Elmhurst,NY11373", "telephone": "(718)651-3838", "date": "02/21/2009", "time": "16:15:49", "subtotal": "$7.76", "tax": "$0.00", "total": "$7.76", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "QUAKERQUICKOAT", "item_value": "$4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "AROY-DCOCONUTM", "item_value": "$1.78", "item_quantity": "1"}, {"item_key": "", "item_name": "AROY-D", "item_value": "$0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "COCKFROZENBAIT", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[68.0, 3.0], [139.0, 0.0], [140.0, 10.0], [68.0, 13.0]], ('OSTRURYT', 0.5617733001708984)], [[[73.0, 11.0], [125.0, 7.0], [126.0, 18.0], [74.0, 22.0]], ('06810000081', 0.9472372531890869)], [[[73.0, 19.0], [132.0, 15.0], [133.0, 25.0], [74.0, 30.0]], ('Itex Riscount', 0.6693699359893799)], [[[161.0, 13.0], [186.0, 13.0], [186.0, 22.0], [161.0, 22.0]], ('$1.18', 0.9356632232666016)], [[[64.0, 37.0], [140.0, 30.0], [141.0, 41.0], [65.0, 48.0]], ('O STRRY TR', 0.6316778063774109)], [[[72.0, 28.0], [169.0, 19.0], [170.0, 30.0], [73.0, 39.0]], ('GuP Dcun40.00%', 0.6783395409584045)], [[[150.0, 31.0], [190.0, 31.0], [190.0, 41.0], [150.0, 41.0]], ('1296', 0.9782683849334717)], [[[210.0, 31.0], [248.0, 31.0], [248.0, 42.0], [210.0, 42.0]], ('$178G', 0.8462439775466919)], [[[69.0, 44.0], [125.0, 39.0], [126.0, 53.0], [70.0, 58.0]], ('06810000081', 0.9357916116714478)], [[[71.0, 55.0], [142.0, 49.0], [143.0, 60.0], [72.0, 66.0]], ('Iten Discount', 0.8616943955421448)], [[[160.0, 47.0], [188.0, 51.0], [187.0, 62.0], [159.0, 58.0]], ('$1.18', 0.8760079145431519)], [[[60.0, 72.0], [143.0, 67.0], [144.0, 80.0], [61.0, 85.0]], ('OSLIP BALM STRA', 0.8476294279098511)], [[[212.0, 70.0], [251.0, 70.0], [251.0, 81.0], [212.0, 81.0]], ('$0.876', 0.8384175300598145)], [[[67.0, 92.0], [145.0, 87.0], [146.0, 101.0], [68.0, 106.0]], ('Ifen Discount', 0.8734586238861084)], [[[162.0, 91.0], [189.0, 91.0], [189.0, 102.0], [162.0, 102.0]], ('890s', 0.8003351092338562)], [[[57.0, 126.0], [134.0, 119.0], [135.0, 132.0], [58.0, 139.0]], ('SUBTOTAL', 0.991692304611206)], [[[199.0, 121.0], [252.0, 118.0], [252.0, 132.0], [200.0, 135.0]], ('$4.43', 0.9821103811264038)], [[[56.0, 138.0], [95.0, 133.0], [96.0, 147.0], [58.0, 152.0]], ('GST', 0.9880868792533875)], [[[199.0, 132.0], [253.0, 129.0], [253.0, 143.0], [200.0, 146.0]], ('$0.22', 0.9665838479995728)], [[[56.0, 148.0], [106.0, 144.0], [107.0, 157.0], [57.0, 160.0]], ('TOTAL', 0.996065616607666)], [[[203.0, 143.0], [253.0, 143.0], [253.0, 154.0], [203.0, 154.0]], ('$4.65', 0.9799888730049133)], [[[55.0, 157.0], [104.0, 155.0], [105.0, 168.0], [56.0, 170.0]], ('DEBIT', 0.9732290506362915)], [[[203.0, 155.0], [254.0, 155.0], [254.0, 166.0], [203.0, 166.0]], ('$4.66', 0.8914734721183777)], [[[52.0, 168.0], [157.0, 166.0], [157.0, 180.0], [53.0, 182.0]], ('CHANGE DUE', 0.9549171328544617)], [[[202.0, 166.0], [256.0, 164.0], [256.0, 177.0], [203.0, 179.0]], ('$0.00', 0.9862555265426636)], [[[51.0, 193.0], [216.0, 190.0], [217.0, 204.0], [52.0, 207.0]], ('YOU SAVED$2.94', 0.9333781599998474)], [[[50.0, 220.0], [102.0, 220.0], [102.0, 231.0], [50.0, 231.0]], ('Itens3', 0.9243565201759338)], [[[47.0, 247.0], [276.0, 239.0], [276.0, 253.0], [48.0, 261.0]], ('SLIP392385TILL206/07/20181946:02', 0.9511369466781616)], [[[48.0, 262.0], [127.0, 262.0], [127.0, 272.0], [48.0, 272.0]], ('CASHIER: Sevas', 0.8336729407310486)], [[[108.0, 303.0], [210.0, 298.0], [211.0, 311.0], [108.0, 316.0]], ('TRANSACTION RECORD', 0.9576565623283386)], [[[104.0, 333.0], [212.0, 329.0], [213.0, 342.0], [104.0, 346.0]], ('Rexa Stare 7158', 0.8940956592559814)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "06/07/2018", "time": "19:46:02", "subtotal": "$4.43", "tax": "$0.22", "total": "$4.65 $4.65", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "COSLIPBALMSTRA", "item_value": "$1.78.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$0.87.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[85.0, 122.0], [284.0, 119.0], [284.0, 137.0], [86.0, 139.0]], ('82 Nguyen Thien Thuat St', 0.9261110424995422)], [[[107.0, 136.0], [259.0, 135.0], [259.0, 152.0], [107.0, 153.0]], ('Nha Trang,Vietnam', 0.9459424614906311)], [[[104.0, 151.0], [265.0, 149.0], [265.0, 163.0], [104.0, 165.0]], ('+840)583526776', 0.9623085260391235)], [[[71.0, 194.0], [297.0, 191.0], [297.0, 205.0], [71.0, 208.0]], ('Table 15 11/10/2013 17:30:15', 0.9398407936096191)], [[[69.0, 223.0], [192.0, 223.0], [192.0, 236.0], [69.0, 236.0]], ('Lamb Coco Curry', 0.956639289855957)], [[[208.0, 224.0], [218.0, 224.0], [218.0, 233.0], [208.0, 233.0]], ('1', 0.9773339629173279)], [[[231.0, 221.0], [318.0, 221.0], [318.0, 234.0], [231.0, 234.0]], ('105000 vnd', 0.9465872049331665)], [[[70.0, 235.0], [131.0, 237.0], [130.0, 251.0], [69.0, 249.0]], ('VN Rice', 0.92383873462677)], [[[207.0, 236.0], [219.0, 236.0], [219.0, 250.0], [207.0, 250.0]], ('1', 0.9808064699172974)], [[[241.0, 236.0], [317.0, 236.0], [317.0, 247.0], [241.0, 247.0]], ('12000 vnd', 0.9368512034416199)], [[[70.0, 251.0], [185.0, 251.0], [185.0, 265.0], [70.0, 265.0]], ('Goa Fish Curry', 0.9521065950393677)], [[[208.0, 251.0], [218.0, 251.0], [218.0, 262.0], [208.0, 262.0]], ('1', 0.9768210649490356)], [[[242.0, 251.0], [318.0, 251.0], [318.0, 262.0], [242.0, 262.0]], ('80000 vnd', 0.9307045340538025)], [[[70.0, 266.0], [195.0, 266.0], [195.0, 279.0], [70.0, 279.0]], ('Cheese&Garlic N', 0.9712377190589905)], [[[209.0, 265.0], [218.0, 265.0], [218.0, 277.0], [209.0, 277.0]], ('1', 0.9944301247596741)], [[[242.0, 265.0], [318.0, 265.0], [318.0, 276.0], [242.0, 276.0]], ('38000 vnd', 0.9297841191291809)], [[[70.0, 279.0], [113.0, 282.0], [112.0, 297.0], [69.0, 294.0]], ('Tiger', 0.9973365068435669)], [[[209.0, 280.0], [219.0, 280.0], [219.0, 291.0], [209.0, 291.0]], ('2', 0.9923191666603088)], [[[242.0, 280.0], [318.0, 280.0], [318.0, 291.0], [242.0, 291.0]], ('50000 vnd', 0.9212773442268372)], [[[70.0, 308.0], [146.0, 311.0], [145.0, 325.0], [69.0, 322.0]], ('Total net', 0.9844338893890381)], [[[233.0, 308.0], [320.0, 307.0], [320.0, 321.0], [233.0, 322.0]], ('285000 vnd', 0.9415868520736694)], [[[68.0, 354.0], [113.0, 354.0], [113.0, 369.0], [68.0, 369.0]], ('Total', 0.9970120191574097)], [[[235.0, 353.0], [320.0, 353.0], [320.0, 367.0], [235.0, 367.0]], ('285000 vnd', 0.9540418386459351)], [[[119.0, 383.0], [278.0, 381.0], [278.0, 395.0], [119.0, 397.0]], ('Thank you very much', 0.9257778525352478)]]	{"store_name": "", "store_addr": "82NguyonThienThuatst. NhaTrang,Vietnam", "telephone": "+84(0)583526776", "date": "11/10/2013", "time": "17:30:15", "subtotal": "285000vnd", "tax": "", "total": "285000vnd", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Tiger", "item_value": "105000vnd", "item_quantity": "1"}, {"item_key": "", "item_name": "Cheese&GarlicN", "item_value": "12000vnd", "item_quantity": "1"}, {"item_key": "", "item_name": "GoaFishCurry", "item_value": "80000vnd", "item_quantity": "1"}, {"item_key": "", "item_name": "VNRice", "item_value": "38000vnd", "item_quantity": "1"}, {"item_key": "", "item_name": "LambCocoCurry", "item_value": "50000vnd", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[107.0, 39.0], [227.0, 35.0], [228.0, 49.0], [108.0, 53.0]], ('GAYLORD PALMS', 0.946877121925354)], [[[67.0, 59.0], [124.0, 61.0], [124.0, 76.0], [66.0, 73.0]], ('9347Phuong', 0.9725608825683594)], [[[65.0, 85.0], [141.0, 85.0], [141.0, 98.0], [65.0, 98.0]], ('CHK2477', 0.9950389266014099)], [[[158.0, 84.0], [189.0, 84.0], [189.0, 98.0], [158.0, 98.0]], ('TBL', 0.9952501654624939)], [[[196.0, 85.0], [256.0, 85.0], [256.0, 96.0], [196.0, 96.0]], ('3349/1', 0.9883832335472107)], [[[206.0, 97.0], [239.0, 97.0], [239.0, 111.0], [206.0, 111.0]], ('GST', 0.9959027171134949)], [[[133.0, 110.0], [180.0, 110.0], [180.0, 122.0], [133.0, 122.0]], ('HONEYCUTT', 0.9940764904022217)], [[[113.0, 120.0], [200.0, 122.0], [200.0, 136.0], [113.0, 135.0]], ('21AUG165:49AM', 0.9673144817352295)], [[[71.0, 145.0], [137.0, 146.0], [137.0, 157.0], [71.0, 156.0]], ('1 ALL AMERICAN', 0.9393054246902466)], [[[81.0, 155.0], [169.0, 157.0], [169.0, 170.0], [81.0, 168.0]], ('IRD DELIVERY CHARGE', 0.9561617970466614)], [[[213.0, 146.0], [243.0, 146.0], [243.0, 160.0], [213.0, 160.0]], ('21.00', 0.9913650751113892)], [[[217.0, 158.0], [240.0, 158.0], [240.0, 170.0], [217.0, 170.0]], ('5.00', 0.9945135116577148)], [[[81.0, 186.0], [150.0, 188.0], [150.0, 202.0], [81.0, 200.0]], ('GRAT/SVC CHG', 0.939235508441925)], [[[83.0, 178.0], [104.0, 178.0], [104.0, 189.0], [83.0, 189.0]], ('FOOD', 0.8805080652236938)], [[[207.0, 178.0], [239.0, 178.0], [239.0, 192.0], [207.0, 192.0]], ('$21.00', 0.9883250594139099)], [[[81.0, 197.0], [153.0, 199.0], [152.0, 213.0], [81.0, 211.0]], ('21X IRD SVC CHG', 0.8704013824462891)], [[[82.0, 210.0], [105.0, 210.0], [105.0, 221.0], [82.0, 221.0]], ('TAX', 0.9884986877441406)], [[[213.0, 201.0], [238.0, 201.0], [238.0, 213.0], [213.0, 213.0]], ('$4.41', 0.9887545704841614)], [[[68.0, 219.0], [134.0, 221.0], [133.0, 235.0], [68.0, 233.0]], ('5:49AM', 0.9397756457328796)], [[[211.0, 211.0], [240.0, 211.0], [240.0, 225.0], [211.0, 225.0]], ('$2.13', 0.9862225651741028)], [[[104.0, 230.0], [251.0, 232.0], [251.0, 246.0], [104.0, 244.0]], ('TOTAL DUE $32.54', 0.9358496069908142)], [[[71.0, 252.0], [108.0, 252.0], [108.0, 262.0], [71.0, 262.0]], ('GRATUITY', 0.9769684076309204)], [[[73.0, 269.0], [97.0, 269.0], [97.0, 280.0], [73.0, 280.0]], ('TOTAL', 0.9967292547225952)], [[[76.0, 286.0], [125.0, 286.0], [125.0, 296.0], [76.0, 296.0]], ('ROOMNMBER', 0.8668902516365051)], [[[80.0, 299.0], [141.0, 299.0], [141.0, 309.0], [80.0, 309.0]], ('PRENT LAST NAME', 0.7522326707839966)], [[[81.0, 313.0], [120.0, 313.0], [120.0, 324.0], [81.0, 324.0]], ('SIGNATURE', 0.9740186333656311)], [[[100.0, 330.0], [219.0, 333.0], [219.0, 346.0], [100.0, 343.0]], ('Please call IRD at ext.61300', 0.8453517556190491)], [[[110.0, 341.0], [214.0, 344.0], [214.0, 354.0], [109.0, 352.0]], ('for table or tray resovai.', 0.7995795607566833)]]	{"store_name": "GAYLORDPALMS'", "store_addr": "", "telephone": "", "date": "21AUG'16", "time": "5:49AM 5:49AM", "subtotal": "", "tax": "$2.13", "total": "$32.54", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "IRDDELIVERYCHARGE", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ALLAMERICAN", "item_value": "21.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[102.0, 110.0], [245.0, 105.0], [245.0, 122.0], [103.0, 127.0]], ('ITALIAN GRILL.', 0.9294701814651489)], [[[110.0, 139.0], [223.0, 136.0], [223.0, 154.0], [110.0, 156.0]], ('Port St.Lucie,EL', 0.9038957357406616)], [[[122.0, 155.0], [211.0, 153.0], [212.0, 167.0], [123.0, 169.0]], ('772344-5897', 0.9933937191963196)], [[[42.0, 171.0], [96.0, 171.0], [96.0, 185.0], [42.0, 185.0]], ('0081', 0.9929763674736023)], [[[95.0, 169.0], [230.0, 166.0], [230.0, 180.0], [95.0, 183.0]], ('Table 53 #Party 2', 0.9108707308769226)], [[[41.0, 185.0], [91.0, 185.0], [91.0, 199.0], [41.0, 199.0]], ('DANNY ', 0.9207603931427002)], [[[114.0, 183.0], [276.0, 175.0], [277.0, 192.0], [114.0, 200.0]], ('SvrCk15 4:13p11/22/15', 0.945018470287323)], [[[264.0, 201.0], [300.0, 201.0], [300.0, 219.0], [264.0, 219.0]], ('13.99', 0.9872274398803711)], [[[39.0, 213.0], [152.0, 210.0], [152.0, 224.0], [39.0, 227.0]], ('T Grii led Chicken', 0.846904993057251)], [[[37.0, 227.0], [151.0, 227.0], [151.0, 240.0], [37.0, 240.0]], ('2 Chop Pork Chop,', 0.9161641001701355)], [[[42.0, 241.0], [160.0, 239.0], [160.0, 253.0], [42.0, 255.0]], ('2 chop gorgonzola', 0.932677149772644)], [[[265.0, 232.0], [302.0, 230.0], [303.0, 248.0], [266.0, 250.0]], ('17.49', 0.9926881790161133)], [[[37.0, 256.0], [167.0, 251.0], [168.0, 268.0], [38.0, 273.0]], ('COMP 6 PIPELINE 15%', 0.9230079650878906)], [[[267.0, 249.0], [303.0, 249.0], [303.0, 264.0], [267.0, 264.0]], ('-4.72', 0.9830033183097839)], [[[40.0, 289.0], [305.0, 279.0], [306.0, 293.0], [41.0, 304.0]], ('****************************************', 0.9695747494697571)], [[[97.0, 321.0], [247.0, 315.0], [247.0, 332.0], [98.0, 338.0]], ('We va lue your opinion.', 0.9310608506202698)], [[[51.0, 339.0], [284.0, 330.0], [285.0, 347.0], [51.0, 356.0]], ('Go to www.TellCarrabbas.com within', 0.9003565907478333)], [[[56.0, 356.0], [286.0, 347.0], [286.0, 365.0], [57.0, 373.0]], ('the next 3 days and tel1 us about', 0.9403541088104248)], [[[89.0, 372.0], [251.0, 367.0], [251.0, 385.0], [89.0, 389.0]], ('your dining experience', 0.9705502986907959)], [[[58.0, 403.0], [279.0, 401.0], [280.0, 421.0], [59.0, 423.0]], ('Enter for your chance to win a', 0.9522421360015869)], [[[40.0, 421.0], [295.0, 420.0], [295.0, 440.0], [40.0, 441.0]], ('$1o00 Grand Prize', 0.9415302276611328)]]	{"store_name": "CARRABBA\u2019S", "store_addr": "PortSt.Lucie,FL", "telephone": "(772)344-5897", "date": "11/22/15", "time": "4.13p", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "GrilleoChicken", "item_value": "13.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ChopPorkChop,", "item_value": "17.49", "item_quantity": "1"}, {"item_key": "", "item_name": "chopgorgonzola", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[420.0, 65.0], [627.0, 81.0], [623.0, 133.0], [416.0, 117.0]], ('WELCOME', 0.9899787306785583)], [[[225.0, 290.0], [569.0, 290.0], [569.0, 347.0], [225.0, 347.0]], ('NEW MILFORD', 0.9499372839927673)], [[[564.0, 303.0], [858.0, 267.0], [863.0, 307.0], [569.0, 343.0]], ('NJ07646', 0.8192488551139832)], [[[214.0, 457.0], [370.0, 448.0], [372.0, 488.0], [217.0, 497.0]], ('AUTH#', 0.9909561276435852)], [[[489.0, 457.0], [679.0, 449.0], [681.0, 496.0], [491.0, 504.0]], ('081010', 0.9550235867500305)], [[[270.0, 494.0], [399.0, 488.0], [401.0, 529.0], [272.0, 536.0]], ('VISA', 0.9924384355545044)], [[[238.0, 530.0], [685.0, 527.0], [685.0, 578.0], [239.0, 582.0]], ('ACCOUNT NUMBER', 0.9570579528808594)], [[[206.0, 577.0], [809.0, 568.0], [810.0, 618.0], [207.0, 627.0]], ('XXXXXXXXXXXX3547', 0.6693373918533325)], [[[682.0, 703.0], [788.0, 703.0], [788.0, 747.0], [682.0, 747.0]], ('$/G', 0.9675323963165283)], [[[202.0, 714.0], [580.0, 698.0], [582.0, 739.0], [204.0, 756.0]], ('PUMP PRODUCT', 0.9431411623954773)], [[[219.0, 756.0], [522.0, 743.0], [524.0, 799.0], [222.0, 812.0]], ('01UNLD', 0.9598598480224609)], [[[615.0, 749.0], [816.0, 743.0], [817.0, 790.0], [616.0, 795.0]], ('$0.349', 0.9584393501281738)], [[[521.0, 840.0], [848.0, 835.0], [849.0, 881.0], [522.0, 887.0]], ('FUELTOTAL', 0.9882904887199402)], [[[195.0, 856.0], [426.0, 844.0], [429.0, 889.0], [198.0, 901.0]], ('GALLONS', 0.9904929399490356)], [[[714.0, 883.0], [859.0, 883.0], [859.0, 930.0], [714.0, 930.0]], ('5.24', 0.9973271489143372)], [[[238.0, 899.0], [432.0, 891.0], [434.0, 938.0], [240.0, 946.0]], ('15.015', 0.9807546138763428)], [[[213.0, 1037.0], [565.0, 1023.0], [566.0, 1063.0], [214.0, 1077.0]], ('FRN REWARDS', 0.9572654366493225)], [[[216.0, 1086.0], [569.0, 1066.0], [572.0, 1106.0], [218.0, 1126.0]], ('LOYALTY ID#', 0.953621506690979)], [[[219.0, 1129.0], [824.0, 1104.0], [826.0, 1144.0], [221.0, 1169.0]], ('7257', 0.8245895504951477)], [[[224.0, 1222.0], [822.0, 1193.0], [824.0, 1238.0], [227.0, 1267.0]], ('BeginRwds $1.85/Ga', 0.9273320436477661)], [[[224.0, 1269.0], [827.0, 1243.0], [829.0, 1288.0], [226.0, 1314.0]], ('Rwds Used $1.85/Ga1', 0.8815223574638367)], [[[226.0, 1316.0], [612.0, 1299.0], [614.0, 1344.0], [228.0, 1361.0]], ('Fuel Rewards', 0.9063698649406433)], [[[226.0, 1366.0], [452.0, 1354.0], [454.0, 1399.0], [228.0, 1411.0]], ('Network', 0.9661540389060974)], [[[399.0, 1442.0], [683.0, 1438.0], [684.0, 1483.0], [399.0, 1487.0]], ('THANK YOU', 0.8981978297233582)], [[[337.0, 1495.0], [781.0, 1481.0], [783.0, 1526.0], [339.0, 1540.0]], ('COME BACKSOCN', 0.9305585622787476)]]	{"store_name": "", "store_addr": "720WESTRIVERRD NEWMILFORDNJ07646", "telephone": "", "date": "03/26/15", "time": "8:17PM", "subtotal": "", "tax": "", "total": "$5.24", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "UNLD", "item_value": "", "item_quantity": ""}, {"item_key": "PRODUCT", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[41.0, 168.0], [181.0, 179.0], [180.0, 199.0], [40.0, 189.0]], ('ARROYO CAR WASH', 0.9403693675994873)], [[[40.0, 188.0], [200.0, 196.0], [199.0, 221.0], [39.0, 213.0]], ('605 S ARROYO PKWY', 0.9185755848884583)], [[[40.0, 210.0], [209.0, 217.0], [208.0, 242.0], [39.0, 235.0]], ('PASADENA CA 91105', 0.9457567930221558)], [[[41.0, 233.0], [164.0, 240.0], [162.0, 261.0], [40.0, 254.0]], ('L306980098001', 0.9959771633148193)], [[[138.0, 303.0], [327.0, 298.0], [328.0, 317.0], [139.0, 322.0]], ('03/19/2017 130:38PM', 0.9581800699234009)], [[[81.0, 323.0], [393.0, 312.0], [394.0, 337.0], [82.0, 348.0]], ('Register1 Trans #:1954 0p ID2', 0.9437394738197327)], [[[139.0, 347.0], [329.0, 340.0], [330.0, 358.0], [140.0, 365.0]], ('Your cashier: Cashier', 0.9324994683265686)], [[[347.0, 377.0], [431.0, 373.0], [432.0, 394.0], [348.0, 399.0]], ('$4.99101', 0.9963865280151367)], [[[46.0, 390.0], [163.0, 387.0], [163.0, 409.0], [47.0, 412.0]], ('Taxable item', 0.9562680125236511)], [[[340.0, 401.0], [401.0, 395.0], [402.0, 417.0], [342.0, 422.0]], ('$22.99', 0.9282267093658447)], [[[410.0, 397.0], [433.0, 397.0], [433.0, 415.0], [410.0, 415.0]], ('99', 0.9961507320404053)], [[[46.0, 413.0], [145.0, 409.0], [146.0, 432.0], [47.0, 436.0]], ('Package #2', 0.9719675183296204)], [[[226.0, 450.0], [321.0, 444.0], [323.0, 466.0], [227.0, 472.0]], ('Subtotal=', 0.9848544597625732)], [[[343.0, 443.0], [401.0, 440.0], [402.0, 462.0], [344.0, 465.0]], ('$27.98', 0.9917497634887695)], [[[263.0, 471.0], [323.0, 467.0], [325.0, 489.0], [264.0, 493.0]], ('Tax=', 0.986897349357605)], [[[353.0, 465.0], [403.0, 462.0], [404.0, 484.0], [354.0, 487.0]], ('$0.45', 0.99253910779953)], [[[259.0, 515.0], [326.0, 510.0], [327.0, 529.0], [260.0, 534.0]], ('Total=', 0.9766455292701721)], [[[349.0, 510.0], [407.0, 506.0], [408.0, 526.0], [350.0, 530.0]], ('$28.43', 0.9938748478889465)], [[[364.0, 547.0], [416.0, 541.0], [418.0, 564.0], [366.0, 569.0]], ('$0.00', 0.9975861310958862)], [[[205.0, 560.0], [332.0, 549.0], [333.0, 570.0], [207.0, 581.0]], ('Change Due =', 0.9461383819580078)], [[[361.0, 591.0], [422.0, 586.0], [424.0, 609.0], [363.0, 614.0]], ('$28.43', 0.9296556115150452)], [[[48.0, 618.0], [102.0, 613.0], [104.0, 637.0], [50.0, 642.0]], ('Debit', 0.898643970489502)], [[[50.0, 668.0], [300.0, 646.0], [302.0, 667.0], [52.0, 689.0]], ('XXXX XXXX XXXX2609Debit', 0.8483656048774719)], [[[52.0, 694.0], [203.0, 680.0], [205.0, 700.0], [54.0, 715.0]], ('INVOICE:005077', 0.9524534344673157)], [[[53.0, 719.0], [166.0, 708.0], [168.0, 730.0], [55.0, 741.0]], ('AUTH 244380', 0.9525851607322693)], [[[54.0, 770.0], [260.0, 751.0], [262.0, 773.0], [56.0, 792.0]], ('POS Purchase/Capture', 0.9731985330581665)], [[[55.0, 797.0], [271.0, 775.0], [273.0, 797.0], [57.0, 819.0]], ('Sequence Number 43268', 0.9531763792037964)], [[[56.0, 824.0], [121.0, 816.0], [124.0, 839.0], [59.0, 847.0]], ('Swiped', 0.9970192313194275)], [[[57.0, 848.0], [226.0, 830.0], [228.0, 856.0], [59.0, 873.0]], ('APPROVED 244380', 0.9560955166816711)]]	{"store_name": "ARROYOCARWASH", "store_addr": "605SARROYOPKWY PASADENACA91105", "telephone": "", "date": "03/19/2017", "time": "1:30:38PM", "subtotal": "$27.98", "tax": "$0.45", "total": "$28.43", "ignore": "", "tips": "", "line_items": [{"item_key": "Taxableitem", "item_name": "", "item_value": "", "item_quantity": ""}, {"item_key": "Package#2", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[316.0, 59.0], [476.0, 61.0], [476.0, 93.0], [316.0, 91.0]], ("Caddy's at the Pointe", 0.9536688923835754)], [[[307.0, 95.0], [485.0, 95.0], [485.0, 112.0], [307.0, 112.0]], ('801 Riverside Drive East', 0.9647541046142578)], [[[354.0, 115.0], [443.0, 115.0], [443.0, 133.0], [354.0, 133.0]], ('727-360-4993', 0.9929471015930176)], [[[241.0, 180.0], [322.0, 180.0], [322.0, 197.0], [241.0, 197.0]], ('Guest Check', 0.9656313061714172)], [[[461.0, 176.0], [537.0, 176.0], [537.0, 196.0], [461.0, 196.0]], ('Party of 2', 0.9480085372924805)], [[[239.0, 201.0], [398.0, 198.0], [398.0, 219.0], [239.0, 222.0]], ('TableLOUNGEBLK FAM', 0.9499295353889465)], [[[432.0, 197.0], [537.0, 197.0], [537.0, 217.0], [432.0, 217.0]], ('Ticket16019', 0.9922945499420166)], [[[242.0, 224.0], [361.0, 224.0], [361.0, 241.0], [242.0, 241.0]], ('Employee:Keegan', 0.9550796747207642)], [[[475.0, 218.0], [536.0, 216.0], [537.0, 237.0], [476.0, 239.0]], ('CADDYS12', 0.995448112487793)], [[[242.0, 244.0], [305.0, 244.0], [305.0, 262.0], [242.0, 262.0]], ('09:08 PM', 0.8910748362541199)], [[[439.0, 239.0], [537.0, 237.0], [537.0, 257.0], [439.0, 260.0]], ('Date 04/08/18', 0.970581591129303)], [[[242.0, 264.0], [320.0, 261.0], [320.0, 281.0], [242.0, 283.0]], ('Seat 1>>', 0.8986483216285706)], [[[273.0, 282.0], [384.0, 282.0], [384.0, 302.0], [273.0, 302.0]], ('Tailgate Burger', 0.9575670957565308)], [[[504.0, 277.0], [538.0, 277.0], [538.0, 297.0], [504.0, 297.0]], ('8.95', 0.9935153722763062)], [[[245.0, 287.0], [253.0, 287.0], [253.0, 299.0], [245.0, 299.0]], ('1', 0.9285500049591064)], [[[243.0, 306.0], [255.0, 306.0], [255.0, 321.0], [243.0, 321.0]], ('1', 0.9883987307548523)], [[[275.0, 303.0], [364.0, 303.0], [364.0, 321.0], [275.0, 321.0]], ('Jerk Chicken', 0.9551840424537659)], [[[499.0, 298.0], [538.0, 296.0], [539.0, 316.0], [500.0, 318.0]], ('14.95', 0.9930775761604309)], [[[274.0, 324.0], [356.0, 324.0], [356.0, 341.0], [274.0, 341.0]], ('Sierra Mist', 0.9806609749794006)], [[[505.0, 319.0], [539.0, 319.0], [539.0, 338.0], [505.0, 338.0]], ('2.49', 0.9924829006195068)], [[[274.0, 344.0], [371.0, 342.0], [371.0, 360.0], [274.0, 362.0]], ('Fried Pickles', 0.9738122224807739)], [[[505.0, 339.0], [539.0, 339.0], [539.0, 358.0], [505.0, 358.0]], ('6.95', 0.9918822646141052)], [[[274.0, 364.0], [393.0, 362.0], [393.0, 382.0], [274.0, 384.0]], ('FRIED Shrimp App', 0.9639616012573242)], [[[506.0, 359.0], [540.0, 359.0], [540.0, 379.0], [506.0, 379.0]], ('9.95', 0.992159366607666)], [[[248.0, 369.0], [257.0, 369.0], [257.0, 381.0], [248.0, 381.0]], ('1', 0.9054282307624817)], [[[384.0, 401.0], [453.0, 401.0], [453.0, 421.0], [384.0, 421.0]], ('Sub Total', 0.9617714285850525)], [[[473.0, 406.0], [481.0, 406.0], [481.0, 416.0], [473.0, 416.0]], ('.', 0.5162675976753235)], [[[499.0, 401.0], [539.0, 398.0], [540.0, 417.0], [500.0, 420.0]], ('43.29', 0.995309054851532)], [[[386.0, 423.0], [463.0, 423.0], [463.0, 441.0], [386.0, 441.0]], ('Sales Tax', 0.9544262290000916)], [[[506.0, 420.0], [541.0, 420.0], [541.0, 440.0], [506.0, 440.0]], ('3.03', 0.9968454837799072)], [[[384.0, 443.0], [544.0, 441.0], [544.0, 476.0], [384.0, 478.0]], ('Check Total $ 46.32', 0.9266071319580078)], [[[366.0, 498.0], [442.0, 498.0], [442.0, 519.0], [366.0, 519.0]], ('Call us to', 0.9086655378341675)], [[[341.0, 521.0], [468.0, 521.0], [468.0, 541.0], [341.0, 541.0]], ('book your events', 0.9777188301086426)], [[[360.0, 544.0], [451.0, 544.0], [451.0, 562.0], [360.0, 562.0]], ('941-708-3777', 0.994944155216217)]]	{"store_name": "Caddy'satthePointe", "store_addr": "801RiversideDriveEast", "telephone": "941-708-3777 727-360-4993", "date": "04/08/18", "time": "09:08PM", "subtotal": "43.29", "tax": "3.03", "total": "$46.32", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FRIEDShrimpApp", "item_value": "9.95", "item_quantity": "1"}, {"item_key": "", "item_name": "FriedPickles", "item_value": "6.95", "item_quantity": "1"}, {"item_key": "", "item_name": "SierraMist", "item_value": "2.49", "item_quantity": "1"}, {"item_key": "", "item_name": "JerkChicken", "item_value": "14.95", "item_quantity": "1"}, {"item_key": "", "item_name": "TailgateBurger", "item_value": "8.95", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[171.0, 103.0], [271.0, 106.0], [271.0, 124.0], [171.0, 121.0]], ('SPEEDWAY', 0.9879244565963745)], [[[265.0, 109.0], [290.0, 109.0], [290.0, 120.0], [265.0, 120.0]], ('-', 0.7148268818855286)], [[[285.0, 105.0], [368.0, 107.0], [368.0, 125.0], [285.0, 123.0]], ('0007569', 0.9518203735351562)], [[[168.0, 123.0], [404.0, 127.0], [404.0, 147.0], [168.0, 143.0]], ('Palos Hill IL60465', 0.7993752956390381)], [[[169.0, 143.0], [334.0, 148.0], [334.0, 168.0], [169.0, 163.0]], ('TRAN#5516769', 0.9219525456428528)], [[[168.0, 166.0], [396.0, 168.0], [396.0, 186.0], [168.0, 184.0]], ('9/30/201710:53', 0.9784336090087891)], [[[162.0, 228.0], [264.0, 230.0], [264.0, 254.0], [162.0, 252.0]], ('Pump05', 0.987154483795166)], [[[163.0, 253.0], [359.0, 253.0], [359.0, 273.0], [163.0, 273.0]], ('Regular Unleaded', 0.9652298092842102)], [[[174.0, 276.0], [410.0, 276.0], [410.0, 296.0], [174.0, 296.0]], ('21.026$2.559/GAL', 0.9668354392051697)], [[[162.0, 298.0], [275.0, 300.0], [275.0, 320.0], [162.0, 318.0]], ('GAS TOTAL', 0.9475603103637695)], [[[335.0, 299.0], [412.0, 299.0], [412.0, 320.0], [335.0, 320.0]], ('$53.81', 0.9947383999824524)], [[[160.0, 343.0], [203.0, 345.0], [202.0, 367.0], [159.0, 365.0]], ('TAX', 0.9936572909355164)], [[[350.0, 346.0], [417.0, 346.0], [417.0, 368.0], [350.0, 368.0]], ('$0.00', 0.9972745180130005)], [[[158.0, 367.0], [417.0, 371.0], [417.0, 395.0], [158.0, 391.0]], ('TOTALsedconsumerc$53.81', 0.8761569261550903)], [[[158.0, 417.0], [225.0, 419.0], [224.0, 441.0], [157.0, 439.0]], ('Debit', 0.9973996877670288)], [[[155.0, 444.0], [287.0, 446.0], [287.0, 466.0], [155.0, 464.0]], ('Card Nun:', 0.8667151927947998)], [[[154.0, 471.0], [371.0, 472.0], [371.0, 492.0], [154.0, 491.0]], ('XXXXXXXXXXXX0656', 0.6971850395202637)], [[[153.0, 499.0], [264.0, 499.0], [264.0, 520.0], [153.0, 520.0]], ('TERM01', 0.995197594165802)], [[[151.0, 527.0], [337.0, 529.0], [337.0, 549.0], [151.0, 547.0]], ('TRANSTYPE:', 0.9608688354492188)], [[[330.0, 528.0], [431.0, 530.0], [431.0, 550.0], [330.0, 548.0]], ('CAPTURE', 0.9960141777992249)], [[[151.0, 558.0], [335.0, 558.0], [335.0, 578.0], [151.0, 578.0]], ('APPR#220493', 0.9867182374000549)], [[[149.0, 589.0], [394.0, 589.0], [394.0, 609.0], [149.0, 609.0]], ('ENTRY METHODICR', 0.9648382663726807)], [[[146.0, 650.0], [384.0, 650.0], [384.0, 670.0], [146.0, 670.0]], ('WWW.SPEEDWAY.COM', 0.9606472253799438)]]	{"store_name": "SPEEDWAY0007569", "store_addr": "PalosHillIL68465", "telephone": "", "date": "9/30/2017", "time": "10:53AM", "subtotal": "$53.81", "tax": "$0.00", "total": "$53.81", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "RegularUnleaded", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[220.0, 149.0], [558.0, 151.0], [558.0, 187.0], [219.0, 184.0]], ('HONEYMEE', 0.9829769134521484)], [[[303.0, 211.0], [476.0, 211.0], [476.0, 225.0], [303.0, 225.0]], ('IHE PREMIUM QUALITY', 0.8350262641906738)], [[[272.0, 232.0], [506.0, 232.0], [506.0, 247.0], [272.0, 247.0]], ('HAPPYBEE HAPPYMEE', 0.9647249579429626)], [[[332.0, 281.0], [447.0, 281.0], [447.0, 296.0], [332.0, 296.0]], ('IHEORIGINAI', 0.9035570621490479)], [[[271.0, 323.0], [510.0, 323.0], [510.0, 338.0], [271.0, 338.0]], ('WWW.HONEYMEE.COM', 0.992792010307312)], [[[268.0, 364.0], [505.0, 362.0], [505.0, 384.0], [269.0, 385.0]], ('HONEYMEEGARDENA', 0.9897278547286987)], [[[208.0, 393.0], [589.0, 394.0], [589.0, 416.0], [208.0, 415.0]], ('1548OSWESTEFIN AVE SUITE 108', 0.8942862153053284)], [[[284.0, 422.0], [497.0, 424.0], [496.0, 446.0], [283.0, 444.0]], ('GAADENA CA 90249', 0.9124126434326172)], [[[312.0, 453.0], [469.0, 453.0], [469.0, 474.0], [312.0, 474.0]], ('310-516-0122', 0.9798741340637207)], [[[233.0, 481.0], [547.0, 484.0], [546.0, 506.0], [233.0, 503.0]], ('http//www honeymee.com/', 0.9400588274002075)], [[[359.0, 543.0], [419.0, 546.0], [417.0, 590.0], [356.0, 587.0]], ('Sale', 0.9905393123626709)], [[[114.0, 618.0], [427.0, 621.0], [427.0, 643.0], [114.0, 640.0]], ('Rece1pt# 20160705-10090', 0.9563339352607727)], [[[467.0, 622.0], [669.0, 625.0], [669.0, 647.0], [466.0, 644.0]], ('Station ID :10', 0.8896604180335999)], [[[112.0, 646.0], [218.0, 648.0], [217.0, 673.0], [112.0, 671.0]], ('Take Out', 0.9371428489685059)], [[[518.0, 652.0], [669.0, 656.0], [668.0, 681.0], [517.0, 677.0]], ('Alba Mar ina', 0.9135339856147766)], [[[110.0, 708.0], [154.0, 708.0], [154.0, 732.0], [110.0, 732.0]], ('QTY', 0.9965744018554688)], [[[174.0, 709.0], [229.0, 709.0], [229.0, 732.0], [174.0, 732.0]], ('NAME', 0.9981208443641663)], [[[585.0, 715.0], [669.0, 718.0], [668.0, 743.0], [585.0, 740.0]], ('Amount', 0.9981415271759033)], [[[110.0, 771.0], [121.0, 771.0], [121.0, 790.0], [110.0, 790.0]], ('1', 0.8052119016647339)], [[[175.0, 771.0], [468.0, 775.0], [467.0, 797.0], [175.0, 793.0]], ("HONEY COOKIE'S N CREAM", 0.9269419312477112)], [[[612.0, 777.0], [673.0, 777.0], [673.0, 803.0], [612.0, 803.0]], ('5.00', 0.9927217364311218)], [[[105.0, 831.0], [229.0, 833.0], [229.0, 858.0], [104.0, 856.0]], ('Sub Total', 0.9338604807853699)], [[[614.0, 840.0], [677.0, 843.0], [676.0, 869.0], [613.0, 866.0]], ('5.00', 0.9953352212905884)], [[[104.0, 862.0], [173.0, 862.0], [173.0, 889.0], [104.0, 889.0]], ('TAX', 0.9928581118583679)], [[[615.0, 874.0], [676.0, 876.0], [675.0, 900.0], [614.0, 898.0]], ('0.00', 0.9865749478340149)], [[[105.0, 925.0], [244.0, 927.0], [244.0, 952.0], [104.0, 950.0]], ('Amount Due', 0.9716376066207886)], [[[614.0, 935.0], [678.0, 938.0], [677.0, 964.0], [613.0, 961.0]], ('5.00', 0.9954140186309814)]]	{"store_name": "HONEYMEE HAPPYBEE\u2605HAPPYMEE HONEYMEE(GARDENA)", "store_addr": "15480SWESTERNAVESUITE108 GARDENACA90249", "telephone": "310-516-0122", "date": "", "time": "", "subtotal": "5.00", "tax": "0.00", "total": "5.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "HIONEYCOOKIE'SNCREAM", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "NAME", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[383.0, 72.0], [774.0, 88.0], [769.0, 195.0], [379.0, 179.0]], ("Chili's", 0.9666975140571594)], [[[412.0, 191.0], [710.0, 202.0], [708.0, 256.0], [410.0, 244.0]], ('Grill & Bar', 0.8689137101173401)], [[[412.0, 258.0], [683.0, 267.0], [681.0, 326.0], [410.0, 316.0]], ('Silverlake', 0.9217777252197266)], [[[200.0, 328.0], [572.0, 339.0], [571.0, 385.0], [198.0, 375.0]], ('#015 AMANDAL', 0.9381141066551208)], [[[781.0, 331.0], [894.0, 336.0], [891.0, 399.0], [778.0, 394.0]], ('T073', 0.9700844287872314)], [[[203.0, 396.0], [652.0, 407.0], [651.0, 454.0], [202.0, 443.0]], ('04/14/1118:09:00', 0.9739468097686768)], [[[725.0, 408.0], [881.0, 408.0], [881.0, 457.0], [725.0, 457.0]], ('#00776', 0.9979580044746399)], [[[226.0, 461.0], [678.0, 465.0], [677.0, 559.0], [226.0, 555.0]], ('CHECK', 0.995130717754364)], [[[637.0, 478.0], [901.0, 478.0], [901.0, 560.0], [637.0, 560.0]], ('#0148', 0.9978280067443848)], [[[234.0, 620.0], [514.0, 616.0], [515.0, 657.0], [235.0, 660.0]], ('2BEVERAGE', 0.990976870059967)], [[[784.0, 617.0], [895.0, 617.0], [895.0, 660.0], [784.0, 660.0]], ('4.58', 0.9881352186203003)], [[[285.0, 668.0], [570.0, 665.0], [571.0, 705.0], [286.0, 709.0]], ('HH EGGROLL', 0.9654375910758972)], [[[793.0, 665.0], [905.0, 665.0], [905.0, 708.0], [793.0, 708.0]], ('4.99', 0.9933613538742065)], [[[280.0, 715.0], [692.0, 712.0], [693.0, 757.0], [280.0, 760.0]], ('HH BBWINGS X5', 0.9176855087280273)], [[[799.0, 711.0], [915.0, 715.0], [914.0, 759.0], [797.0, 755.0]], ('2.99', 0.994634747505188)], [[[276.0, 763.0], [608.0, 770.0], [607.0, 810.0], [275.0, 803.0]], ('DOUBLE TAKE', 0.9658727049827576)], [[[782.0, 763.0], [929.0, 767.0], [928.0, 815.0], [780.0, 811.0]], ('20.00', 0.9915636777877808)], [[[269.0, 815.0], [640.0, 822.0], [639.0, 874.0], [268.0, 866.0]], ('HH 1/2TX FF', 0.936842679977417)], [[[816.0, 822.0], [940.0, 822.0], [940.0, 877.0], [816.0, 877.0]], ('2.99', 0.9952532649040222)], [[[199.0, 883.0], [454.0, 887.0], [453.0, 947.0], [198.0, 943.0]], ('Subtotal', 0.992014467716217)], [[[794.0, 885.0], [948.0, 889.0], [946.0, 950.0], [792.0, 946.0]], ('35.55', 0.9932982325553894)], [[[162.0, 961.0], [457.0, 965.0], [456.0, 1024.0], [161.0, 1020.0]], ('Sales Tax', 0.9498167037963867)], [[[823.0, 963.0], [952.0, 963.0], [952.0, 1025.0], [823.0, 1025.0]], ('2.93', 0.997055172920227)], [[[160.0, 1043.0], [477.0, 1043.0], [477.0, 1165.0], [160.0, 1165.0]], ('TOTAL', 0.999112606048584)], [[[674.0, 1042.0], [983.0, 1042.0], [983.0, 1157.0], [674.0, 1157.0]], ('38.48', 0.9937704205513)], [[[353.0, 1255.0], [734.0, 1248.0], [735.0, 1311.0], [354.0, 1319.0]], ('THANK YOU!!!', 0.9592309594154358)], [[[142.0, 1340.0], [953.0, 1331.0], [954.0, 1400.0], [143.0, 1409.0]], ('We welcome your comments.', 0.948870837688446)], [[[317.0, 1424.0], [770.0, 1415.0], [771.0, 1483.0], [318.0, 1492.0]], ('(800)983-4637', 0.9345974326133728)], [[[312.0, 1507.0], [769.0, 1501.0], [769.0, 1551.0], [313.0, 1557.0]], ('www.chilis.com', 0.9879589676856995)]]	{"store_name": "Chili's", "store_addr": "Silverlake", "telephone": "(800)983-4637", "date": "04/14/11", "time": "18:09:00", "subtotal": "35.55", "tax": "2.93", "total": "38.48", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HH1/2TXFF", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "DOUBLETAKE", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HHBBWINGS", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "HHEGGROLL", "item_value": "4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BEVERAGE", "item_value": "4.58", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[333.0, 0.0], [609.0, 33.0], [606.0, 55.0], [330.0, 20.0]], ('at Mal OutletCA-ANF', 0.9038153290748596)], [[[442.0, 0.0], [502.0, 0.0], [501.0, 18.0], [441.0, 15.0]], ('9960', 0.8461153507232666)], [[[293.0, 17.0], [556.0, 55.0], [553.0, 77.0], [290.0, 39.0]], ('560 Great Mal Drive', 0.909542977809906)], [[[322.0, 49.0], [544.0, 84.0], [541.0, 106.0], [318.0, 71.0]], ('Milpitas CA 95035', 0.9059997200965881)], [[[350.0, 85.0], [509.0, 111.0], [505.0, 136.0], [346.0, 110.0]], ('408-262-6910', 0.993800699710846)], [[[87.0, 165.0], [142.0, 174.0], [136.0, 208.0], [82.0, 198.0]], ('Reg', 0.92154461145401)], [[[213.0, 182.0], [290.0, 193.0], [285.0, 225.0], [209.0, 214.0]], ('Trans', 0.9985979199409485)], [[[84.0, 211.0], [140.0, 215.0], [137.0, 248.0], [81.0, 243.0]], ('003', 0.9989311099052429)], [[[356.0, 204.0], [480.0, 221.0], [475.0, 250.0], [351.0, 233.0]], ('Date/Time', 0.9744693040847778)], [[[209.0, 222.0], [275.0, 230.0], [270.0, 266.0], [204.0, 257.0]], ('2587', 0.9992602467536926)], [[[350.0, 246.0], [561.0, 270.0], [557.0, 298.0], [347.0, 274.0]], ('2018-04-111918', 0.985023558139801)], [[[631.0, 243.0], [715.0, 254.0], [712.0, 280.0], [628.0, 269.0]], ('Cashier', 0.9960437417030334)], [[[618.0, 277.0], [713.0, 288.0], [710.0, 314.0], [615.0, 303.0]], ('02242236', 0.9967008829116821)], [[[445.0, 325.0], [648.0, 333.0], [646.0, 391.0], [443.0, 384.0]], ('102', 0.5270790457725525)], [[[71.0, 343.0], [477.0, 377.0], [475.0, 402.0], [69.0, 368.0]], ('630764849-SWEATSHIRTS $24.99', 0.9533969759941101)], [[[96.0, 388.0], [382.0, 408.0], [380.0, 433.0], [94.0, 413.0]], ('Trans Discount $7.49', 0.9641342163085938)], [[[630.0, 391.0], [712.0, 391.0], [712.0, 420.0], [630.0, 420.0]], ('$17.50', 0.9838948249816895)], [[[79.0, 428.0], [381.0, 445.0], [379.0, 470.0], [77.0, 453.0]], ('6318517762NDS $12.99', 0.9705273509025574)], [[[645.0, 459.0], [726.0, 464.0], [724.0, 491.0], [643.0, 486.0]], ('$9.09', 0.9921871423721313)], [[[93.0, 469.0], [378.0, 484.0], [376.0, 509.0], [91.0, 494.0]], ('Trans Discount $3.90', 0.974587082862854)], [[[75.0, 510.0], [376.0, 520.0], [375.0, 545.0], [74.0, 535.0]], ('6317689642NDS $15.99', 0.9575058221817017)], [[[416.0, 531.0], [567.0, 537.0], [566.0, 559.0], [415.0, 553.0]], ('02', 0.742141842842102)], [[[634.0, 532.0], [716.0, 532.0], [716.0, 558.0], [634.0, 558.0]], ('$11.19', 0.994692862033844)], [[[89.0, 553.0], [375.0, 560.0], [375.0, 585.0], [88.0, 578.0]], ('Trans Discount $4.80', 0.9636780619621277)], [[[71.0, 594.0], [401.0, 598.0], [400.0, 623.0], [70.0, 619.0]], ('626612092JEANS-$26.99', 0.9789985418319702)], [[[620.0, 606.0], [717.0, 606.0], [717.0, 632.0], [620.0, 632.0]], ('-$26.99', 0.9157834649085999)], [[[215.0, 679.0], [328.0, 679.0], [328.0, 704.0], [215.0, 704.0]], ('Subtotal', 0.9975202083587646)], [[[636.0, 683.0], [717.0, 683.0], [717.0, 709.0], [636.0, 709.0]], ('$10.79', 0.9952273368835449)], [[[213.0, 718.0], [342.0, 718.0], [342.0, 744.0], [213.0, 744.0]], ('Tax9.00%', 0.9919744729995728)], [[[649.0, 719.0], [717.0, 719.0], [717.0, 746.0], [649.0, 746.0]], ('$0.97', 0.9980373382568359)], [[[209.0, 799.0], [312.0, 799.0], [312.0, 829.0], [209.0, 829.0]], ('Charity', 0.9977279305458069)], [[[649.0, 796.0], [720.0, 796.0], [720.0, 826.0], [649.0, 826.0]], ('$0.24', 0.9923051595687866)], [[[205.0, 881.0], [280.0, 881.0], [280.0, 912.0], [205.0, 912.0]], ('Total', 0.9984673261642456)], [[[636.0, 879.0], [721.0, 875.0], [723.0, 905.0], [637.0, 909.0]], ('$12.00', 0.9962777495384216)], [[[200.0, 965.0], [265.0, 965.0], [265.0, 996.0], [200.0, 996.0]], ('VISA', 0.9986411929130554)], [[[635.0, 960.0], [717.0, 953.0], [720.0, 983.0], [638.0, 989.0]], ('$12.00', 0.9960384964942932)]]	{"store_name": "", "store_addr": "560GreatMallDrive MilpitasCA95035", "telephone": "408-262-6910", "date": "2018-04-11", "time": "19:18", "subtotal": "$10.79", "tax": "$0.97", "total": "$12.00 $12.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "630764849SWEATSHIRTS$24.99", "item_value": "$17.50", "item_quantity": "1"}, {"item_key": "", "item_name": "6318517762NDS$12.99", "item_value": "$9.09", "item_quantity": "1"}, {"item_key": "", "item_name": "6317689642NDS$15.99", "item_value": "$11.19", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[145.0, 63.0], [228.0, 65.0], [228.0, 78.0], [144.0, 76.0]], ('SHeetgreen.com', 0.9324348568916321)], [[[144.0, 73.0], [229.0, 76.0], [228.0, 90.0], [143.0, 87.0]], ('1065 5th St NW', 0.9015874266624451)], [[[140.0, 86.0], [228.0, 86.0], [228.0, 100.0], [140.0, 100.0]], ('Washington,DC', 0.9478800892829895)], [[[133.0, 98.0], [228.0, 98.0], [228.0, 111.0], [133.0, 111.0]], ('P202-289-4674', 0.9864991307258606)], [[[73.0, 124.0], [132.0, 127.0], [131.0, 144.0], [72.0, 141.0]], ('160 Kamica', 0.8874824643135071)], [[[68.0, 157.0], [115.0, 157.0], [115.0, 172.0], [68.0, 172.0]], ('Chk 1955', 0.943291187286377)], [[[162.0, 155.0], [264.0, 155.0], [264.0, 172.0], [162.0, 172.0]], ("May19'15 09:59P", 0.8962907195091248)], [[[256.0, 157.0], [312.0, 157.0], [312.0, 174.0], [256.0, 174.0]], ('Gst 0', 0.8594568967819214)], [[[79.0, 186.0], [152.0, 186.0], [152.0, 203.0], [79.0, 203.0]], ('1 KALE CAESAR', 0.9259634017944336)], [[[260.0, 188.0], [293.0, 188.0], [293.0, 207.0], [260.0, 207.0]], ('8.75', 0.9937248229980469)], [[[87.0, 202.0], [120.0, 202.0], [120.0, 217.0], [87.0, 217.0]], ('SALAD', 0.9978025555610657)], [[[97.0, 216.0], [162.0, 220.0], [162.0, 234.0], [97.0, 230.0]], ('chix-->seas', 0.9727436304092407)], [[[262.0, 216.0], [293.0, 219.0], [291.0, 239.0], [260.0, 236.0]], ('3.75', 0.9937079548835754)], [[[82.0, 229.0], [174.0, 235.0], [173.0, 249.0], [81.0, 244.0]], ('xxxxx9118', 0.6805493235588074)], [[[85.0, 244.0], [152.0, 249.0], [150.0, 265.0], [84.0, 261.0]], ('Master Card', 0.957308828830719)], [[[256.0, 250.0], [293.0, 252.0], [292.0, 271.0], [255.0, 269.0]], ('13.75', 0.979270339012146)], [[[88.0, 273.0], [134.0, 276.0], [133.0, 293.0], [87.0, 289.0]], ('Subtotal', 0.9739528894424438)], [[[87.0, 287.0], [140.0, 294.0], [138.0, 311.0], [84.0, 304.0]], ('Sales Tax', 0.938493013381958)], [[[256.0, 282.0], [294.0, 285.0], [293.0, 303.0], [255.0, 300.0]], ('12.50', 0.9931411743164062)], [[[85.0, 303.0], [131.0, 308.0], [129.0, 326.0], [83.0, 321.0]], ('Paynent', 0.9381675124168396)], [[[261.0, 301.0], [292.0, 301.0], [292.0, 319.0], [261.0, 319.0]], ('1.25', 0.9932540059089661)], [[[224.0, 316.0], [291.0, 319.0], [290.0, 336.0], [223.0, 334.0]], ('13.75', 0.9991467595100403)]]	{"store_name": "", "store_addr": "10655thStNW Washington,DC", "telephone": "202-289-4674", "date": "May19'15", "time": "09:59P", "subtotal": "12.50", "tax": "1.25", "total": "13.75", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "KALECAESAR", "item_value": "8.75", "item_quantity": "1"}, {"item_key": "", "item_name": "SALAD", "item_value": "3.75", "item_quantity": "1"}, {"item_key": "", "item_name": "chix-->seas", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[518.0, 9.0], [546.0, 6.0], [568.0, 208.0], [540.0, 211.0]], ('SEE BACK*520', 0.8337044715881348)], [[[185.0, 168.0], [478.0, 158.0], [479.0, 185.0], [186.0, 195.0]], ("Wendy's Restaurant #00009158", 0.9791950583457947)], [[[196.0, 192.0], [457.0, 184.0], [458.0, 209.0], [197.0, 217.0]], ('5555 Whitt lesey Pkwy B.11', 0.9256438612937927)], [[[238.0, 217.0], [428.0, 211.0], [429.0, 235.0], [238.0, 241.0]], ('Columbus,GA 31909', 0.9454073309898376)], [[[260.0, 240.0], [410.0, 237.0], [410.0, 261.0], [261.0, 264.0]], ('706)323-8254', 0.9534750580787659)], [[[549.0, 279.0], [577.0, 278.0], [580.0, 357.0], [551.0, 358.0]], ('SALAD', 0.9200285077095032)], [[[260.0, 289.0], [389.0, 287.0], [389.0, 311.0], [261.0, 313.0]], ('CHUBBY', 0.9965470433235168)], [[[103.0, 339.0], [230.0, 342.0], [229.0, 366.0], [103.0, 363.0]], ('Host:Ciara', 0.9442936182022095)], [[[457.0, 337.0], [560.0, 331.0], [561.0, 356.0], [459.0, 362.0]], ('07/14/201', 0.9948327541351318)], [[[493.0, 360.0], [559.0, 360.0], [559.0, 386.0], [493.0, 386.0]], ('9:02', 0.9390506744384766)], [[[103.0, 366.0], [176.0, 366.0], [176.0, 392.0], [103.0, 392.0]], ('CHUBBY', 0.9974973201751709)], [[[100.0, 423.0], [332.0, 419.0], [332.0, 447.0], [100.0, 450.0]], ('Order Type: DINE IN', 0.9404216408729553)], [[[96.0, 479.0], [162.0, 479.0], [162.0, 508.0], [96.0, 508.0]], ('COMBO', 0.9970388412475586)], [[[543.0, 473.0], [565.0, 473.0], [565.0, 497.0], [543.0, 497.0]], ('6.', 0.9892149567604065)], [[[107.0, 510.0], [265.0, 510.0], [265.0, 538.0], [107.0, 538.0]], ('Single Cheese', 0.9760802388191223)], [[[131.0, 541.0], [184.0, 541.0], [184.0, 568.0], [131.0, 568.0]], ('Only', 0.967664361000061)], [[[129.0, 570.0], [208.0, 570.0], [208.0, 599.0], [129.0, 599.0]], ('Pickle', 0.9956884980201721)], [[[104.0, 604.0], [242.0, 601.0], [243.0, 628.0], [104.0, 632.0]], ('Small Fries', 0.8864870667457581)], [[[105.0, 636.0], [276.0, 634.0], [276.0, 652.0], [105.0, 652.0]], ('SM Eruit Punch', 0.8906832337379456)]]	{"store_name": "Wendy'sRestaurant#00009158", "store_addr": "5555WhittleseyPkwyB.11 Columbus,GA31909", "telephone": "(706)323-8254", "date": "07/14/2016", "time": "9:02PM", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "COMBO", "item_value": "6.19", "item_quantity": "1"}, {"item_key": "", "item_name": "SingleCheese", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Pickle", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SmallFries", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[267.0, 35.0], [472.0, 33.0], [472.0, 50.0], [268.0, 52.0]], ('BIG BAZAAR FUTURE RETAIL LTD', 0.9512246251106262)], [[[273.0, 54.0], [466.0, 54.0], [466.0, 69.0], [273.0, 69.0]], ('BB-THANE-DAHISAR-THAKUR MALL', 0.9680041074752808)], [[[241.0, 71.0], [503.0, 71.0], [503.0, 85.0], [241.0, 85.0]], ('THAKUR SHOPING MALL,DAHISAR CHECK NAKA', 0.9435404539108276)], [[[327.0, 87.0], [416.0, 87.0], [416.0, 102.0], [327.0, 102.0]], ('THANE-401104', 0.9938206076622009)], [[[291.0, 101.0], [445.0, 102.0], [444.0, 119.0], [291.0, 118.0]], ('TEL NO.022-28284707', 0.9424971342086792)], [[[285.0, 120.0], [452.0, 120.0], [452.0, 134.0], [285.0, 134.0]], ('HELPLINE:1800 200 2255', 0.9282142519950867)], [[[228.0, 136.0], [511.0, 136.0], [511.0, 151.0], [228.0, 151.0]], ('VAT TIN27330828680VW.E.F.12.04.2011', 0.9559997320175171)], [[[267.0, 153.0], [477.0, 152.0], [477.0, 169.0], [268.0, 170.0]], ('CIN NO:L51909MH2007PLC268269', 0.9622909426689148)], [[[181.0, 184.0], [253.0, 187.0], [252.0, 205.0], [181.0, 203.0]], ('ITEM DESC', 0.9549386501312256)], [[[365.0, 189.0], [467.0, 189.0], [467.0, 206.0], [365.0, 206.0]], ('QTY DISC AMT', 0.9456701874732971)], [[[489.0, 188.0], [546.0, 188.0], [546.0, 206.0], [489.0, 206.0]], ('NET AMT', 0.9612703323364258)], [[[486.0, 221.0], [514.0, 224.0], [511.0, 245.0], [483.0, 241.0]], ('Rs.', 0.8427391648292542)], [[[169.0, 240.0], [389.0, 240.0], [389.0, 262.0], [169.0, 262.0]], ('SO CO0KI VNLLA 200G30', 0.8841475248336792)], [[[438.0, 240.0], [478.0, 240.0], [478.0, 263.0], [438.0, 263.0]], ('0.00', 0.9971295595169067)], [[[515.0, 241.0], [562.0, 241.0], [562.0, 264.0], [515.0, 264.0]], ('85.00', 0.9953360557556152)], [[[168.0, 263.0], [326.0, 266.0], [326.0, 283.0], [168.0, 280.0]], ('SPKMN BOTLLT.NA', 0.9515290856361389)], [[[438.0, 263.0], [479.0, 263.0], [479.0, 285.0], [438.0, 285.0]], ('0.00', 0.993209958076477)], [[[509.0, 264.0], [563.0, 264.0], [563.0, 286.0], [509.0, 286.0]], ('599.00', 0.996601402759552)], [[[165.0, 286.0], [326.0, 286.0], [326.0, 304.0], [165.0, 304.0]], ('SO COOKI VNLLA 200G', 0.9071246981620789)], [[[435.0, 287.0], [483.0, 287.0], [483.0, 307.0], [435.0, 307.0]], ('85.00-', 0.9521639943122864)], [[[526.0, 287.0], [567.0, 287.0], [567.0, 310.0], [526.0, 310.0]], ('0.00', 0.9954712390899658)], [[[163.0, 309.0], [337.0, 311.0], [337.0, 331.0], [163.0, 329.0]], ('JOCKEY-CT Mens Brief', 0.9516294598579407)], [[[441.0, 310.0], [482.0, 310.0], [482.0, 332.0], [441.0, 332.0]], ('0.00', 0.9964788556098938)], [[[513.0, 311.0], [569.0, 311.0], [569.0, 333.0], [513.0, 333.0]], ('378.00', 0.9975051879882812)], [[[161.0, 336.0], [326.0, 336.0], [326.0, 353.0], [161.0, 353.0]], ('LIJJAT MONG SP 200G', 0.8838292956352234)], [[[442.0, 334.0], [484.0, 334.0], [484.0, 357.0], [442.0, 357.0]], ('0.00', 0.9959489703178406)], [[[524.0, 336.0], [573.0, 336.0], [573.0, 358.0], [524.0, 358.0]], ('72.00', 0.9981706738471985)], [[[341.0, 349.0], [378.0, 349.0], [378.0, 373.0], [341.0, 373.0]], ('e', 0.5701306462287903)], [[[156.0, 359.0], [336.0, 356.0], [336.0, 377.0], [156.0, 381.0]], ('GODNIGHT ADV CARTRIG', 0.9632527232170105)], [[[445.0, 359.0], [487.0, 359.0], [487.0, 383.0], [445.0, 383.0]], ('0.00', 0.9955402612686157)], [[[521.0, 360.0], [576.0, 360.0], [576.0, 383.0], [521.0, 383.0]], ('128.00', 0.9971749186515808)]]	{"store_name": "BIGBAZAAR(FUTURERETAILLTD)", "store_addr": "BB-THANE-DAHISAR-THAKURMALL THAKURSHOPINGMALL,DAHISARCHECKNAKA THANE-401104", "telephone": "022-28284707", "date": "12.04.2011", "time": "", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SOCOOKIVNLLA200G", "item_value": "85.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SPKMNBOT,L,LT,NA", "item_value": "599.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SOCOOKIVNLL.A200G", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "JOCKEY-CTMensBrief", "item_value": "378.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LIJJATMONGSP200G", "item_value": "72.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GODNIGHTADVCARTRIG", "item_value": "128.00", "item_quantity": "1"}, {"item_key": "ITEMDESC", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[561.0, 367.0], [1165.0, 377.0], [1164.0, 441.0], [560.0, 430.0]], ('CREDIT CARD VOUCHER', 0.9420655965805054)], [[[633.0, 453.0], [1011.0, 460.0], [1010.0, 517.0], [632.0, 510.0]], ('ANY RESTAURANT', 0.9730195999145508)], [[[717.0, 539.0], [936.0, 539.0], [936.0, 597.0], [717.0, 597.0]], ('ANYWHERE', 0.9615892171859741)], [[[645.0, 616.0], [1005.0, 616.0], [1005.0, 680.0], [645.0, 680.0]], ('6969696969', 0.9929019808769226)], [[[329.0, 769.0], [454.0, 769.0], [454.0, 830.0], [329.0, 830.0]], ('DATE', 0.9977198839187622)], [[[1036.0, 782.0], [1318.0, 782.0], [1318.0, 836.0], [1036.0, 836.0]], ('02/02/2014', 0.9972307085990906)], [[[329.0, 849.0], [457.0, 849.0], [457.0, 909.0], [329.0, 909.0]], ('TIME', 0.9983829259872437)], [[[1168.0, 858.0], [1312.0, 858.0], [1312.0, 916.0], [1168.0, 916.0]], ('11:11', 0.9308870434761047)], [[[327.0, 928.0], [599.0, 939.0], [596.0, 996.0], [325.0, 985.0]], ('CARD TYPE', 0.9554851055145264)], [[[1246.0, 938.0], [1312.0, 938.0], [1312.0, 995.0], [1246.0, 995.0]], ('MC', 0.9950599074363708)], [[[329.0, 1011.0], [463.0, 1011.0], [463.0, 1072.0], [329.0, 1072.0]], ('ACCT:', 0.9102994203567505)], [[[789.0, 1021.0], [1305.0, 1021.0], [1305.0, 1075.0], [789.0, 1075.0]], ('XXXXXXXXXXXX1111', 0.9241067171096802)], [[[330.0, 1094.0], [598.0, 1101.0], [597.0, 1155.0], [328.0, 1148.0]], ('TRANS KEY', 0.9592339992523193)], [[[945.0, 1104.0], [1312.0, 1104.0], [1312.0, 1158.0], [945.0, 1158.0]], ('HYU8789798234', 0.9982405304908752)], [[[329.0, 1181.0], [595.0, 1181.0], [595.0, 1235.0], [329.0, 1235.0]], ('AUTH CODE', 0.9499852061271667)], [[[1168.0, 1184.0], [1312.0, 1184.0], [1312.0, 1241.0], [1168.0, 1241.0]], ('12345', 0.9984642267227173)], [[[326.0, 1257.0], [560.0, 1257.0], [560.0, 1315.0], [326.0, 1315.0]], ('EXP DATE', 0.9359277486801147)], [[[1161.0, 1263.0], [1312.0, 1263.0], [1312.0, 1321.0], [1161.0, 1321.0]], ('XX/XX', 0.8854972720146179)], [[[326.0, 1343.0], [479.0, 1343.0], [479.0, 1391.0], [326.0, 1391.0]], ('CHECK', 0.996684730052948)], [[[1190.0, 1343.0], [1309.0, 1343.0], [1309.0, 1401.0], [1190.0, 1401.0]], ('1111', 0.9975218176841736)], [[[326.0, 1420.0], [473.0, 1420.0], [473.0, 1477.0], [326.0, 1477.0]], ('TABLE', 0.9976904988288879)], [[[1164.0, 1419.0], [1306.0, 1427.0], [1303.0, 1488.0], [1160.0, 1479.0]], ('11/11', 0.9973911046981812)], [[[319.0, 1500.0], [507.0, 1500.0], [507.0, 1557.0], [319.0, 1557.0]], ('SERVER', 0.9965899586677551)], [[[1049.0, 1506.0], [1302.0, 1506.0], [1302.0, 1560.0], [1049.0, 1560.0]], ('34 MONIKA', 0.9368174076080322)], [[[317.0, 1659.0], [567.0, 1666.0], [566.0, 1723.0], [316.0, 1716.0]], ('Subtotal:', 0.9488335847854614)], [[[1077.0, 1669.0], [1302.0, 1669.0], [1302.0, 1726.0], [1077.0, 1726.0]], ('$1969.69', 0.9857333302497864)], [[[312.0, 1815.0], [564.0, 1826.0], [562.0, 1893.0], [309.0, 1882.0]], ('Gratuity:', 0.9385536909103394)], [[[313.0, 1997.0], [482.0, 1997.0], [482.0, 2055.0], [313.0, 2055.0]], ('Total:', 0.9788370132446289)], [[[304.0, 2253.0], [567.0, 2253.0], [567.0, 2310.0], [304.0, 2310.0]], ('Signature', 0.9964469075202942)], [[[612.0, 2670.0], [980.0, 2681.0], [979.0, 2745.0], [610.0, 2734.0]], ('Customer Copy', 0.9645434617996216)]]	{"store_name": "ANYRESTAURANT", "store_addr": "", "telephone": "(69)696960969", "date": "02/02/2014", "time": "11:11", "subtotal": "$1969.69", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[368.0, 26.0], [520.0, 38.0], [518.0, 61.0], [366.0, 49.0]], ('NASTKANDAR PELITA', 0.8515628576278687)], [[[360.0, 69.0], [514.0, 76.0], [513.0, 96.0], [359.0, 89.0]], ('COREGNO:481477-P', 0.9281443357467651)], [[[349.0, 87.0], [518.0, 97.0], [517.0, 117.0], [348.0, 107.0]], ('NO.113JALAN AMPANG', 0.955366849899292)], [[[356.0, 108.0], [500.0, 116.0], [499.0, 133.0], [355.0, 125.0]], ('50450 KUALA LUMPUR', 0.8832801580429077)], [[[329.0, 125.0], [519.0, 136.0], [518.0, 154.0], [328.0, 144.0]], ('GSTIDNO000038535168', 0.9525784850120544)], [[[346.0, 161.0], [476.0, 171.0], [474.0, 192.0], [344.0, 182.0]], ('GUEST CHECK BILL', 0.9182193875312805)], [[[314.0, 179.0], [389.0, 185.0], [388.0, 203.0], [313.0, 197.0]], ('DINE IN:', 0.8971471786499023)], [[[413.0, 186.0], [486.0, 192.0], [484.0, 214.0], [411.0, 208.0]], ('45/E17', 0.9425115585327148)], [[[261.0, 208.0], [395.0, 225.0], [392.0, 242.0], [258.0, 225.0]], ('NASI GRG KAMPUNG', 0.8638187050819397)], [[[252.0, 223.0], [335.0, 236.0], [332.0, 253.0], [249.0, 241.0]], ('AIR KOSONG', 0.8995236158370972)], [[[245.0, 238.0], [335.0, 254.0], [332.0, 271.0], [242.0, 256.0]], ('AYA GORENG', 0.9302315711975098)], [[[534.0, 233.0], [575.0, 236.0], [574.0, 260.0], [533.0, 257.0]], ('7.50', 0.9931842684745789)], [[[207.0, 253.0], [212.0, 253.0], [212.0, 260.0], [207.0, 260.0]], ('7', 0.5976719260215759)], [[[233.0, 253.0], [312.0, 267.0], [309.0, 285.0], [230.0, 270.0]], ('LIMAU AIS', 0.8859592080116272)], [[[529.0, 257.0], [571.0, 260.0], [570.0, 283.0], [528.0, 280.0]], ('0.30', 0.9739110469818115)], [[[226.0, 268.0], [303.0, 284.0], [299.0, 302.0], [222.0, 286.0]], ('BIHN GRG', 0.9081457257270813)], [[[217.0, 283.0], [296.0, 299.0], [292.0, 320.0], [213.0, 304.0]], ('MAGGI SUP', 0.8668928146362305)], [[[525.0, 279.0], [568.0, 283.0], [566.0, 305.0], [522.0, 301.0]], ('5.30', 0.9895639419555664)], [[[207.0, 299.0], [271.0, 315.0], [267.0, 333.0], [202.0, 317.0]], ('MEE GRG', 0.9309106469154358)], [[[513.0, 298.0], [564.0, 305.0], [561.0, 326.0], [510.0, 320.0]], ('10.00', 0.9892013669013977)], [[[199.0, 315.0], [278.0, 335.0], [273.0, 355.0], [194.0, 335.0]], ('TEH O AIS', 0.8832128047943115)], [[[513.0, 321.0], [558.0, 326.0], [555.0, 348.0], [510.0, 343.0]], ('5.30', 0.9948726296424866)], [[[187.0, 331.0], [320.0, 365.0], [314.0, 386.0], [181.0, 351.0]], ('MUNTAH CLEANING', 0.9347931742668152)], [[[177.0, 348.0], [259.0, 371.0], [253.0, 392.0], [171.0, 368.0]], ('MAG3I GRG', 0.9168999791145325)], [[[508.0, 340.0], [553.0, 348.0], [549.0, 371.0], [504.0, 363.0]], ('5.30', 0.9971024990081787)], [[[168.0, 366.0], [233.0, 383.0], [227.0, 405.0], [162.0, 388.0]], ('TEH AIS', 0.9353851079940796)], [[[501.0, 362.0], [547.0, 369.0], [544.0, 391.0], [498.0, 384.0]], ('6.80', 0.9946169257164001)], [[[124.0, 376.0], [135.0, 383.0], [127.0, 397.0], [116.0, 391.0]], ('1', 0.9382582902908325)], [[[154.0, 384.0], [266.0, 415.0], [260.0, 437.0], [148.0, 406.0]], ('MILO O PANAS', 0.8869476914405823)], [[[497.0, 383.0], [541.0, 390.0], [537.0, 412.0], [493.0, 405.0]], ('1.80', 0.9939936399459839)], [[[482.0, 401.0], [534.0, 412.0], [530.0, 433.0], [478.0, 423.0]], ('15.00', 0.990458607673645)], [[[106.0, 416.0], [235.0, 453.0], [228.0, 476.0], [99.0, 439.0]], ('Total Incl GST', 0.8722662925720215)], [[[475.0, 422.0], [528.0, 432.0], [524.0, 454.0], [471.0, 444.0]], ('10.60', 0.9936078190803528)], [[[101.0, 438.0], [235.0, 479.0], [228.0, 502.0], [94.0, 462.0]], ('Service Charge', 0.9629483222961426)], [[[474.0, 444.0], [522.0, 453.0], [518.0, 476.0], [470.0, 467.0]], ('2.40', 0.9968470931053162)], [[[88.0, 459.0], [162.0, 480.0], [155.0, 503.0], [81.0, 483.0]], ('GST6%', 0.9710351824760437)], [[[467.0, 466.0], [517.0, 476.0], [512.0, 499.0], [462.0, 488.0]], ('2.50', 0.9958995580673218)], [[[74.0, 482.0], [211.0, 522.0], [204.0, 546.0], [67.0, 505.0]], ('Round Adjustmt', 0.9696246981620789)], [[[372.0, 487.0], [400.0, 496.0], [392.0, 519.0], [365.0, 511.0]], ('RM', 0.9844357371330261)], [[[349.0, 509.0], [381.0, 516.0], [376.0, 539.0], [344.0, 532.0]], ('RM', 0.9898455142974854)], [[[434.0, 503.0], [491.0, 515.0], [485.0, 540.0], [428.0, 528.0]], ('72.80', 0.9849020838737488)], [[[49.0, 525.0], [137.0, 553.0], [129.0, 579.0], [41.0, 550.0]], ('Total Amt', 0.9017607569694519)], [[[342.0, 531.0], [372.0, 538.0], [366.0, 565.0], [336.0, 558.0]], ('RM', 0.9953023195266724)], [[[423.0, 529.0], [471.0, 538.0], [467.0, 561.0], [419.0, 551.0]], ('0.00', 0.8674687147140503)], [[[334.0, 557.0], [363.0, 564.0], [356.0, 591.0], [327.0, 584.0]], ('RM', 0.9909831881523132)], [[[414.0, 552.0], [465.0, 562.0], [461.0, 588.0], [409.0, 578.0]], ('4.12', 0.913761556148529)], [[[405.0, 579.0], [455.0, 583.0], [453.0, 599.0], [403.0, 599.0]], ('0.00', 0.9144230484962463)]]	{"store_name": "", "store_addr": "50450KUALALUMPUR NO.113,JALANAMPANG COREGNO:481477-P", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "4.12", "total": "72.80", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MILOOPANAS", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "TEHAIS", "item_value": "2.40", "item_quantity": "1"}, {"item_key": "", "item_name": "MAGGIGRG", "item_value": "10.60", "item_quantity": "1"}, {"item_key": "", "item_name": "MUNTAHCLEANING", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TEHOAIS", "item_value": "1.80", "item_quantity": "1"}, {"item_key": "", "item_name": "MEEGRG", "item_value": "6.80", "item_quantity": "1"}, {"item_key": "", "item_name": "MAGGISUP", "item_value": "5.30", "item_quantity": "1"}, {"item_key": "", "item_name": "BIHJNGRG", "item_value": "5.30", "item_quantity": "1"}, {"item_key": "", "item_name": "LIMAUAIS", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AYAMGORENG", "item_value": "5.30", "item_quantity": "1"}, {"item_key": "", "item_name": "AIRKOSONG", "item_value": "0.30", "item_quantity": "1"}, {"item_key": "", "item_name": "NASIGRGKAMPUNG", "item_value": "7.50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[122.0, 23.0], [197.0, 28.0], [196.0, 45.0], [121.0, 41.0]], ('JOANN', 0.9969955682754517)], [[[107.0, 39.0], [202.0, 47.0], [202.0, 58.0], [106.0, 50.0]], ('7177 AMADRPLAZA ROAD', 0.8087558746337891)], [[[117.0, 48.0], [191.0, 53.0], [190.0, 64.0], [116.0, 58.0]], ('DL6LINCA94568', 0.7950763702392578)], [[[126.0, 55.0], [182.0, 61.0], [181.0, 72.0], [125.0, 66.0]], ('925-833-1741', 0.8952704071998596)], [[[60.0, 65.0], [144.0, 72.0], [143.0, 84.0], [59.0, 78.0]], ('MOCA MCCALLS 17.95', 0.856940746307373)], [[[66.0, 82.0], [127.0, 86.0], [126.0, 97.0], [65.0, 93.0]], ('REDULAR PRICE', 0.8241013884544373)], [[[151.0, 73.0], [207.0, 78.0], [206.0, 88.0], [150.0, 83.0]], ('023795564168', 0.7615234851837158)], [[[57.0, 91.0], [141.0, 97.0], [140.0, 108.0], [56.0, 101.0]], ('MCCA MCCALLS 17.95', 0.9080683588981628)], [[[193.0, 92.0], [221.0, 94.0], [220.0, 105.0], [192.0, 102.0]], ('17.95', 0.8142117261886597)], [[[202.0, 87.0], [229.0, 87.0], [229.0, 97.0], [202.0, 97.0]], ('1.99', 0.9738729000091553)], [[[150.0, 97.0], [207.0, 102.0], [206.0, 113.0], [149.0, 108.0]], ('023795564212', 0.992622435092926)], [[[53.0, 116.0], [138.0, 123.0], [137.0, 134.0], [52.0, 127.0]], ('MCCA MCCALLS 19.95', 0.9280131459236145)], [[[62.0, 107.0], [124.0, 113.0], [123.0, 123.0], [61.0, 118.0]], ('REGULAR PRICE', 0.9468451738357544)], [[[196.0, 117.0], [223.0, 121.0], [222.0, 131.0], [195.0, 127.0]], ('17.95', 0.956084132194519)], [[[205.0, 109.0], [231.0, 113.0], [229.0, 123.0], [204.0, 120.0]], ('1.99', 0.9896301627159119)], [[[57.0, 132.0], [123.0, 138.0], [122.0, 151.0], [56.0, 145.0]], ('REGULAR PRICE', 0.9469248652458191)], [[[148.0, 124.0], [207.0, 128.0], [207.0, 138.0], [147.0, 134.0]], ('023795558167', 0.9697096347808838)], [[[49.0, 141.0], [136.0, 148.0], [135.0, 161.0], [48.0, 155.0]], ('MCCA MCCALLS 17.95', 0.9051914215087891)], [[[195.0, 144.0], [223.0, 147.0], [222.0, 158.0], [194.0, 155.0]], ('19.95', 0.989425003528595)], [[[205.0, 135.0], [231.0, 138.0], [230.0, 150.0], [204.0, 147.0]], ('1.99', 0.9340875148773193)], [[[145.0, 149.0], [208.0, 155.0], [207.0, 167.0], [144.0, 162.0]], ('023795562119', 0.9978293776512146)], [[[55.0, 160.0], [120.0, 165.0], [118.0, 178.0], [54.0, 173.0]], ('REGULAR PRICE', 0.9380048513412476)], [[[202.0, 162.0], [233.0, 166.0], [231.0, 179.0], [201.0, 175.0]], ('1.99', 0.973071813583374)], [[[42.0, 179.0], [82.0, 183.0], [81.0, 194.0], [41.0, 190.0]], ('SUBTOTAL', 0.9747071266174316)], [[[194.0, 172.0], [223.0, 175.0], [222.0, 187.0], [193.0, 183.0]], ('17.95', 0.9898239374160767)], [[[40.0, 188.0], [129.0, 196.0], [128.0, 209.0], [39.0, 202.0]], ('STATE TAX 6.500', 0.9162225127220154)], [[[38.0, 198.0], [132.0, 206.0], [131.0, 220.0], [37.0, 212.0]], ('COUNTY TAX2.500X', 0.8886406421661377)], [[[225.0, 193.0], [249.0, 193.0], [249.0, 211.0], [225.0, 211.0]], ('7.96', 0.9919222593307495)], [[[37.0, 209.0], [88.0, 213.0], [87.0, 226.0], [36.0, 221.0]], ('TOTAL', 0.997715950012207)], [[[223.0, 203.0], [249.0, 203.0], [249.0, 222.0], [223.0, 222.0]], ('0.52', 0.989099383354187)], [[[33.0, 219.0], [89.0, 224.0], [88.0, 237.0], [32.0, 232.0]], ('DEBIT CARD', 0.9175242185592651)], [[[225.0, 213.0], [249.0, 216.0], [249.0, 231.0], [223.0, 228.0]], ('0.20', 0.9891138076782227)], [[[31.0, 230.0], [119.0, 238.0], [117.0, 249.0], [30.0, 244.0]], ('XXXXX1165', 0.6318203806877136)], [[[226.0, 224.0], [249.0, 227.0], [249.0, 243.0], [224.0, 240.0]], ("89'8", 0.875285267829895)], [[[227.0, 236.0], [249.0, 239.0], [248.0, 249.0], [225.0, 248.0]], ('8.68', 0.8648528456687927)]]	{"store_name": "JOANN", "store_addr": "DUBLIN.CA94568", "telephone": "925-833-1741", "date": "", "time": "", "subtotal": "7.96", "tax": "0.20 0.52", "total": "8.68 8.68", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MCCAMCCALLS", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "MCCAMCCALLS", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "MCCAMCCALLS", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "MCCAMCCALLS", "item_value": "1.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[184.0, 130.0], [334.0, 125.0], [335.0, 164.0], [186.0, 169.0]], ('PIONNER', 0.9979206919670105)], [[[174.0, 197.0], [352.0, 189.0], [353.0, 211.0], [175.0, 219.0]], ('822 FRANKLIN AVE.', 0.9494814276695251)], [[[170.0, 223.0], [358.0, 214.0], [359.0, 236.0], [171.0, 245.0]], ('BROOKLYN NY.11225', 0.9511561393737793)], [[[171.0, 249.0], [359.0, 240.0], [360.0, 262.0], [172.0, 271.0]], ('TEL718-773-8448', 0.9886688590049744)], [[[118.0, 302.0], [415.0, 290.0], [416.0, 311.0], [119.0, 323.0]], ('Shop AtPIONNER SUPERMARKT', 0.9433994889259338)], [[[127.0, 328.0], [401.0, 317.0], [402.0, 339.0], [128.0, 350.0]], ('For Everyday $$ Savings $$', 0.9430252909660339)], [[[45.0, 382.0], [456.0, 363.0], [457.0, 388.0], [46.0, 407.0]], ('02/18/2011 6:47 pm Store 001 Reg 003', 0.9339966177940369)], [[[47.0, 409.0], [362.0, 394.0], [363.0, 415.0], [48.0, 429.0]], ('Cashier 991/TYANNATrx040260', 0.9717968702316284)], [[[372.0, 443.0], [431.0, 440.0], [432.0, 466.0], [373.0, 469.0]], ('12.99', 0.9951987266540527)], [[[69.0, 458.0], [177.0, 453.0], [178.0, 475.0], [70.0, 479.0]], ('LEFFE BEER', 0.9525896906852722)], [[[381.0, 469.0], [451.0, 464.0], [453.0, 489.0], [383.0, 494.0]], ('2.99F', 0.9905544519424438)], [[[69.0, 484.0], [301.0, 474.0], [302.0, 495.0], [70.0, 504.0]], ('KELLOGGS SPECILA K CHO', 0.957344651222229)], [[[375.0, 519.0], [434.0, 519.0], [434.0, 545.0], [375.0, 545.0]], ('15.98', 0.9963134527206421)], [[[49.0, 534.0], [136.0, 529.0], [137.0, 554.0], [51.0, 559.0]], ('Subtotal', 0.984020471572876)], [[[384.0, 546.0], [431.0, 543.0], [433.0, 569.0], [386.0, 571.0]], ('1.15', 0.8781730532646179)], [[[52.0, 562.0], [168.0, 556.0], [169.0, 578.0], [53.0, 584.0]], ('Tax8.875%', 0.9902623295783997)], [[[377.0, 596.0], [435.0, 593.0], [436.0, 619.0], [378.0, 622.0]], ('17.13', 0.9941039085388184)], [[[50.0, 609.0], [110.0, 606.0], [111.0, 633.0], [52.0, 636.0]], ('Total', 0.9906837344169617)], [[[377.0, 622.0], [436.0, 619.0], [437.0, 645.0], [378.0, 648.0]], ('20.13', 0.9951921701431274)], [[[51.0, 635.0], [102.0, 632.0], [103.0, 659.0], [53.0, 662.0]], ('CASH', 0.9975748062133789)], [[[347.0, 649.0], [434.0, 644.0], [435.0, 670.0], [348.0, 675.0]], ('3.00', 0.9986926317214966)], [[[56.0, 664.0], [264.0, 655.0], [265.0, 677.0], [57.0, 686.0]], ('Change Due', 0.9553731083869934)], [[[59.0, 739.0], [331.0, 727.0], [332.0, 751.0], [60.0, 763.0]], ('Item Count2', 0.9581906795501709)], [[[156.0, 787.0], [416.0, 778.0], [417.0, 799.0], [157.0, 808.0]], ('Thank you for shopping at', 0.9429716467857361)], [[[185.0, 812.0], [377.0, 804.0], [378.0, 825.0], [186.0, 833.0]], ('PIONNER SUPERMARKT', 0.9727216362953186)], [[[166.0, 838.0], [417.0, 828.0], [418.0, 850.0], [167.0, 860.0]], ('Open 8am-10pm everyday', 0.9433399438858032)], [[[149.0, 864.0], [430.0, 854.0], [431.0, 875.0], [150.0, 885.0]], ('100% Satisfaction Guarantee', 0.9658722281455994)], [[[185.0, 940.0], [391.0, 932.0], [393.0, 972.0], [187.0, 981.0]], ('Thank You', 0.9604977369308472)]]	{"store_name": "PIONNER", "store_addr": "822FRANKLINAVE. BROOKLYNNY.11225", "telephone": "TEL:718-773-8448", "date": "02/18/2011", "time": "6:47pm", "subtotal": "15.98", "tax": "1.15", "total": "17.13", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "LEFFEBEER", "item_value": "12.99", "item_quantity": "1"}, {"item_key": "", "item_name": "KELLOGGSSPECILAKCHO", "item_value": "2.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[307.0, 16.0], [517.0, 13.0], [517.0, 38.0], [308.0, 42.0]], ("Shangri-La's", 0.9745874404907227)], [[[296.0, 81.0], [529.0, 83.0], [529.0, 106.0], [296.0, 103.0]], ('Sultanate of Oman', 0.9260247945785522)], [[[372.0, 106.0], [609.0, 97.0], [610.0, 118.0], [373.0, 127.0]], ('Fax:24776677', 0.9223999381065369)], [[[356.0, 131.0], [449.0, 131.0], [449.0, 154.0], [356.0, 154.0]], ('Samba', 0.9678443670272827)], [[[257.0, 182.0], [583.0, 188.0], [582.0, 221.0], [256.0, 215.0]], ('<Guest Receipt>>', 0.9441121220588684)], [[[158.0, 225.0], [337.0, 222.0], [337.0, 256.0], [159.0, 259.0]], ('Table:51', 0.9167511463165283)], [[[390.0, 235.0], [630.0, 229.0], [631.0, 255.0], [391.0, 260.0]], ('Check:041078', 0.964754045009613)], [[[175.0, 262.0], [237.0, 258.0], [238.0, 280.0], [177.0, 284.0]], ('Date', 0.9960048198699951)], [[[172.0, 283.0], [405.0, 294.0], [404.0, 319.0], [171.0, 309.0]], ('Cashier: Nabeel', 0.9089998006820679)], [[[465.0, 297.0], [591.0, 297.0], [591.0, 319.0], [465.0, 319.0]], ('Cover:2', 0.9393904805183411)], [[[146.0, 343.0], [167.0, 343.0], [167.0, 369.0], [146.0, 369.0]], ('1', 0.8827780485153198)], [[[213.0, 341.0], [418.0, 353.0], [417.0, 376.0], [211.0, 363.0]], ('Tanuf 1500 ml', 0.8364425897598267)], [[[578.0, 353.0], [661.0, 353.0], [661.0, 380.0], [578.0, 380.0]], ('1.600', 0.9835814237594604)], [[[143.0, 372.0], [164.0, 372.0], [164.0, 398.0], [143.0, 398.0]], ('2', 0.9399107098579407)], [[[206.0, 369.0], [500.0, 386.0], [499.0, 410.0], [205.0, 393.0]], ('Dinner Buffet Adul', 0.9415198564529419)], [[[564.0, 382.0], [663.0, 384.0], [663.0, 411.0], [564.0, 408.0]], ('27.000', 0.983142614364624)], [[[301.0, 435.0], [471.0, 445.0], [469.0, 471.0], [299.0, 460.0]], ('Sub. Total', 0.9220746755599976)], [[[571.0, 450.0], [670.0, 450.0], [670.0, 476.0], [571.0, 476.0]], ('28.600', 0.9906073212623596)], [[[300.0, 467.0], [475.0, 479.0], [473.0, 505.0], [298.0, 492.0]], ('Sry Charge', 0.954027533531189)], [[[590.0, 483.0], [675.0, 483.0], [675.0, 510.0], [590.0, 510.0]], ('2.290', 0.992537796497345)], [[[385.0, 503.0], [475.0, 510.0], [473.0, 537.0], [382.0, 530.0]], ('M.Tax', 0.9741398692131042)], [[[595.0, 514.0], [681.0, 517.0], [680.0, 543.0], [594.0, 541.0]], ('1.430', 0.9924371838569641)], [[[371.0, 535.0], [479.0, 545.0], [476.0, 576.0], [368.0, 566.0]], ('T.Levy', 0.9492673277854919)], [[[601.0, 547.0], [686.0, 550.0], [686.0, 577.0], [600.0, 575.0]], ('1.140', 0.988228976726532)], [[[384.0, 611.0], [479.0, 616.0], [478.0, 648.0], [382.0, 643.0]], ('Total', 0.9835631251335144)], [[[590.0, 618.0], [698.0, 623.0], [696.0, 653.0], [589.0, 648.0]], ('33.460', 0.9806085228919983)], [[[107.0, 731.0], [423.0, 743.0], [421.0, 776.0], [105.0, 764.0]], ('[PAYMENT] :Cash', 0.8750196099281311)], [[[99.0, 777.0], [239.0, 783.0], [238.0, 818.0], [98.0, 811.0]], ('Amount:', 0.9504287838935852)], [[[602.0, 787.0], [718.0, 790.0], [717.0, 824.0], [601.0, 821.0]], ('33.460', 0.9819991588592529)], [[[97.0, 822.0], [217.0, 828.0], [215.0, 862.0], [95.0, 856.0]], ('Total:', 0.9920784831047058)], [[[602.0, 834.0], [720.0, 834.0], [720.0, 867.0], [602.0, 867.0]], ('33.460', 0.9937847256660461)], [[[95.0, 869.0], [221.0, 877.0], [219.0, 908.0], [93.0, 900.0]], ('Change', 0.9969296455383301)], [[[607.0, 880.0], [720.0, 880.0], [720.0, 911.0], [607.0, 911.0]], ('16.540', 0.9942588210105896)], [[[95.0, 948.0], [198.0, 954.0], [196.0, 985.0], [93.0, 979.0]], ('21:28', 0.9600979685783386)], [[[279.0, 958.0], [379.0, 961.0], [378.0, 992.0], [278.0, 988.0]], ('Thank', 0.9969476461410522)], [[[417.0, 960.0], [480.0, 963.0], [479.0, 996.0], [415.0, 993.0]], ('You', 0.9937553405761719)]]	{"store_name": "Shangri-La's", "store_addr": "SultanateofOman POBox644,Muscat,PostCode113,", "telephone": "24776666", "date": ":22Oct,09", "time": "21.28 20:33", "subtotal": "28.600", "tax": "1.140 1.430", "total": "33.460 33.460 33.460", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DinnerBuffetAdul", "item_value": "27.000", "item_quantity": "1"}, {"item_key": "", "item_name": "Tanuf1500ml", "item_value": "1.600", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[478.0, 93.0], [687.0, 97.0], [686.0, 157.0], [477.0, 153.0]], ('ALDI', 0.9210666418075562)], [[[480.0, 166.0], [715.0, 172.0], [713.0, 224.0], [479.0, 218.0]], ('Store #97', 0.9479694366455078)], [[[251.0, 231.0], [933.0, 242.0], [932.0, 294.0], [250.0, 283.0]], ('1111 Ferdon,Litchf ield, Il', 0.9091268181800842)], [[[302.0, 300.0], [881.0, 309.0], [881.0, 355.0], [301.0, 346.0]], ('Visit us at www.AlDl.us', 0.8673732876777649)], [[[70.0, 363.0], [803.0, 370.0], [803.0, 417.0], [70.0, 410.0]], ('Your cashier today was Stacie', 0.95108962059021)], [[[77.0, 428.0], [460.0, 428.0], [460.0, 478.0], [77.0, 478.0]], ('Spark1ing Apple', 0.913905143737793)], [[[871.0, 428.0], [978.0, 428.0], [978.0, 478.0], [871.0, 478.0]], ('2.29', 0.9875882863998413)], [[[1018.0, 435.0], [1070.0, 435.0], [1070.0, 478.0], [1018.0, 478.0]], ('F3', 0.9974309206008911)], [[[84.0, 492.0], [409.0, 492.0], [409.0, 532.0], [84.0, 532.0]], ('Hot Cocoa Mix', 0.9221889972686768)], [[[869.0, 488.0], [972.0, 488.0], [972.0, 538.0], [869.0, 538.0]], ('1.19', 0.9907771348953247)], [[[1014.0, 492.0], [1064.0, 492.0], [1064.0, 537.0], [1014.0, 537.0]], ('F3', 0.9986823201179504)], [[[92.0, 547.0], [527.0, 547.0], [527.0, 587.0], [92.0, 587.0]], ('Slcd Potatoes w/Sc', 0.9386413097381592)], [[[861.0, 545.0], [966.0, 545.0], [966.0, 593.0], [861.0, 593.0]], ('0.99', 0.9946739673614502)], [[[1007.0, 546.0], [1058.0, 551.0], [1053.0, 596.0], [1002.0, 591.0]], ('F3', 0.9979977607727051)], [[[97.0, 605.0], [482.0, 600.0], [483.0, 640.0], [98.0, 645.0]], ('Solid Choc Balls', 0.9105878472328186)], [[[861.0, 598.0], [962.0, 602.0], [960.0, 652.0], [858.0, 648.0]], ('1.99', 0.9671167135238647)], [[[997.0, 605.0], [1050.0, 605.0], [1050.0, 650.0], [997.0, 650.0]], ('F2', 0.9983689785003662)], [[[104.0, 658.0], [392.0, 658.0], [392.0, 698.0], [104.0, 698.0]], ('Pfeffernusse', 0.9907594323158264)], [[[859.0, 657.0], [955.0, 657.0], [955.0, 702.0], [859.0, 702.0]], ('1.29', 0.9902266263961792)], [[[990.0, 660.0], [1045.0, 660.0], [1045.0, 703.0], [990.0, 703.0]], ('F3', 0.9981133341789246)], [[[107.0, 714.0], [506.0, 705.0], [507.0, 745.0], [108.0, 754.0]], ('Holiday Tableware', 0.9534863829612732)], [[[847.0, 706.0], [952.0, 711.0], [950.0, 759.0], [845.0, 754.0]], ('0.99', 0.9955222010612488)], [[[989.0, 715.0], [1040.0, 715.0], [1040.0, 760.0], [989.0, 760.0]], ('N2', 0.9969967603683472)], [[[112.0, 762.0], [509.0, 753.0], [510.0, 798.0], [113.0, 807.0]], ('Holiday Tableware', 0.9557706117630005)], [[[844.0, 762.0], [948.0, 762.0], [948.0, 810.0], [844.0, 810.0]], ('0.99', 0.993028461933136)], [[[986.0, 762.0], [1036.0, 768.0], [1030.0, 815.0], [981.0, 809.0]], ('N2', 0.9967527389526367)], [[[121.0, 812.0], [398.0, 806.0], [399.0, 846.0], [122.0, 852.0]], ('Stuffing Mix', 0.9667853713035583)], [[[840.0, 815.0], [943.0, 815.0], [943.0, 863.0], [840.0, 863.0]], ('0.59', 0.9473662376403809)], [[[980.0, 820.0], [1030.0, 820.0], [1030.0, 865.0], [980.0, 865.0]], ('F3', 0.9983313083648682)], [[[126.0, 858.0], [441.0, 858.0], [441.0, 898.0], [126.0, 898.0]], ('Crescent Rol1s', 0.9337381720542908)], [[[840.0, 870.0], [938.0, 870.0], [938.0, 915.0], [840.0, 915.0]], ('0.99', 0.9977588653564453)], [[[975.0, 873.0], [1026.0, 873.0], [1026.0, 918.0], [975.0, 918.0]], ('F3', 0.9985145330429077)], [[[173.0, 905.0], [488.0, 914.0], [487.0, 954.0], [172.0, 945.0]], ('b Bone Tess Ham', 0.8954039812088013)], [[[839.0, 923.0], [936.0, 923.0], [936.0, 968.0], [839.0, 968.0]], ('6.49', 0.9751678109169006)], [[[973.0, 928.0], [1023.0, 928.0], [1023.0, 972.0], [973.0, 972.0]], ('F3', 0.9987213611602783)], [[[178.0, 958.0], [525.0, 969.0], [524.0, 1010.0], [177.0, 1000.0]], ('t Potato Patties', 0.9520496726036072)], [[[839.0, 977.0], [932.0, 977.0], [932.0, 1022.0], [839.0, 1022.0]], ('1.99', 0.9833870530128479)], [[[968.0, 982.0], [1019.0, 982.0], [1019.0, 1027.0], [968.0, 1027.0]], ('F3', 0.9991625547409058)], [[[154.0, 1011.0], [462.0, 1020.0], [461.0, 1065.0], [153.0, 1056.0]], ('ut Green Beans', 0.9406212568283081)], [[[834.0, 1028.0], [936.0, 1028.0], [936.0, 1077.0], [834.0, 1077.0]], ('0.48', 0.9588121175765991)], [[[966.0, 1037.0], [1018.0, 1037.0], [1018.0, 1080.0], [966.0, 1080.0]], ('F3', 0.9986366033554077)], [[[123.0, 1065.0], [396.0, 1070.0], [395.0, 1117.0], [122.0, 1111.0]], ('Cheese Bal1s', 0.8940970301628113)], [[[835.0, 1085.0], [932.0, 1085.0], [932.0, 1130.0], [835.0, 1130.0]], ('2.29', 0.9945997595787048)], [[[963.0, 1090.0], [1016.0, 1090.0], [1016.0, 1133.0], [963.0, 1133.0]], ('F3', 0.9983261823654175)], [[[120.0, 1125.0], [524.0, 1130.0], [523.0, 1175.0], [119.0, 1170.0]], ('Entertainment Crck', 0.9807679653167725)], [[[835.0, 1140.0], [932.0, 1140.0], [932.0, 1185.0], [835.0, 1185.0]], ('1.49', 0.9737290740013123)], [[[963.0, 1145.0], [1014.0, 1145.0], [1014.0, 1188.0], [963.0, 1188.0]], ('F3', 0.9980831742286682)], [[[113.0, 1180.0], [391.0, 1185.0], [390.0, 1232.0], [112.0, 1226.0]], ('Stuffing Mix', 0.974737823009491)], [[[830.0, 1191.0], [935.0, 1196.0], [933.0, 1244.0], [828.0, 1239.0]], ('0.59', 0.9728960990905762)], [[[958.0, 1200.0], [1014.0, 1200.0], [1014.0, 1243.0], [958.0, 1243.0]], ('F3', 0.9972096681594849)], [[[107.0, 1240.0], [293.0, 1240.0], [293.0, 1287.0], [107.0, 1287.0]], ('SUBTOTAL', 0.9968112707138062)], [[[811.0, 1248.0], [930.0, 1252.0], [928.0, 1302.0], [809.0, 1298.0]], ('24.64', 0.9918048977851868)], [[[99.0, 1297.0], [201.0, 1297.0], [201.0, 1347.0], [99.0, 1347.0]], ('3.97', 0.9984492659568787)], [[[289.0, 1298.0], [679.0, 1305.0], [678.0, 1352.0], [288.0, 1345.0]], ('2-Taxable @7.250%', 0.949002742767334)], [[[830.0, 1308.0], [931.0, 1308.0], [931.0, 1360.0], [830.0, 1360.0]], ('0.29', 0.985859751701355)], [[[95.0, 1357.0], [300.0, 1357.0], [300.0, 1408.0], [95.0, 1408.0]], ('20.67', 0.9913029670715332)], [[[280.0, 1361.0], [680.0, 1367.0], [680.0, 1412.0], [279.0, 1406.0]], ('3-Taxable @1.000%', 0.9456761479377747)], [[[832.0, 1364.0], [930.0, 1369.0], [927.0, 1421.0], [829.0, 1416.0]], ('0.21', 0.9815992712974548)], [[[93.0, 1418.0], [329.0, 1422.0], [328.0, 1470.0], [92.0, 1466.0]], ('AMOUNT DUE', 0.9685308337211609)], [[[813.0, 1423.0], [935.0, 1427.0], [933.0, 1482.0], [811.0, 1478.0]], ('25.14', 0.9920023083686829)], [[[91.0, 1478.0], [512.0, 1487.0], [511.0, 1539.0], [90.0, 1530.0]], ('TOTAL', 0.9932382702827454)], [[[793.0, 1485.0], [1016.0, 1489.0], [1015.0, 1542.0], [792.0, 1538.0]], ('25.14', 0.9968788027763367)], [[[84.0, 1540.0], [282.0, 1544.0], [280.0, 1597.0], [83.0, 1593.0]], ('15ITEMS', 0.9914379119873047)]]	{"store_name": "ALDI", "store_addr": "1111Ferdon,Litchfield,IL", "telephone": "", "date": "", "time": "", "subtotal": "24.64", "tax": "0.29 0.21", "total": "25.14 25.14", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SparklingApple", "item_value": "2.29", "item_quantity": "1"}, {"item_key": "", "item_name": "HotCocoa Mix", "item_value": "1.19", "item_quantity": "1"}, {"item_key": "", "item_name": "SlcdPotatoesw/Sc", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SolidChocBalls", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Pfeffernusse", "item_value": "1.29", "item_quantity": "1"}, {"item_key": "", "item_name": "HolidayTableware", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "HolidayTableware", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "StuffingMix", "item_value": "0.59", "item_quantity": "1"}, {"item_key": "", "item_name": "bBonelessHam", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "tPotatoPatties", "item_value": "6.49", "item_quantity": "1"}, {"item_key": "", "item_name": "utGreenBeans", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CheeseBalls", "item_value": "0.48", "item_quantity": "1"}, {"item_key": "", "item_name": "EntertainmentCrck", "item_value": "2.29", "item_quantity": "1"}, {"item_key": "", "item_name": "StuffingMix", "item_value": "1.49", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.59", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[198.0, 85.0], [568.0, 85.0], [568.0, 176.0], [198.0, 176.0]], ('ACarlsgr.', 0.7600901126861572)], [[[244.0, 230.0], [522.0, 210.0], [525.0, 242.0], [247.0, 262.0]], ('Restaurant 1101842', 0.9859930872917175)], [[[225.0, 298.0], [542.0, 274.0], [544.0, 310.0], [228.0, 333.0]], ('5550 Tinker Diagona1', 0.9244651794433594)], [[[237.0, 334.0], [528.0, 312.0], [530.0, 346.0], [239.0, 369.0]], ('De1 CityOK 73115', 0.905483067035675)], [[[506.0, 351.0], [676.0, 348.0], [677.0, 380.0], [507.0, 384.0]], ('7:26:28PM', 0.9033858776092529)], [[[39.0, 365.0], [185.0, 365.0], [185.0, 397.0], [39.0, 397.0]], ('2/27/2017', 0.9975595474243164)], [[[35.0, 404.0], [229.0, 402.0], [229.0, 431.0], [35.0, 433.0]], ('Order 651869', 0.9217187762260437)], [[[376.0, 398.0], [690.0, 390.0], [691.0, 420.0], [377.0, 427.0]], ('Cashier: MYKEISHA S', 0.9256349802017212)], [[[80.0, 478.0], [340.0, 475.0], [340.0, 506.0], [80.0, 509.0]], ('11/31b Low Carb', 0.9335347414016724)], [[[617.0, 470.0], [696.0, 466.0], [698.0, 501.0], [619.0, 505.0]], ('5.39', 0.9964312314987183)], [[[178.0, 518.0], [341.0, 518.0], [341.0, 547.0], [178.0, 547.0]], ('No R-Onion', 0.9320178031921387)], [[[609.0, 509.0], [686.0, 505.0], [688.0, 536.0], [611.0, 540.0]], ('0.00', 0.9963353872299194)], [[[615.0, 545.0], [695.0, 541.0], [696.0, 571.0], [617.0, 575.0]], ('0.00', 0.9949030876159668)], [[[176.0, 557.0], [291.0, 557.0], [291.0, 586.0], [176.0, 586.0]], ('No Mayo', 0.921818733215332)], [[[643.0, 580.0], [722.0, 576.0], [724.0, 612.0], [645.0, 616.0]], ('4.89', 0.9923653602600098)], [[[68.0, 597.0], [322.0, 588.0], [323.0, 617.0], [69.0, 626.0]], ('1 Santa Fe Sand', 0.9302015900611877)], [[[277.0, 664.0], [425.0, 664.0], [425.0, 697.0], [277.0, 697.0]], ('SubTotal', 0.9877188205718994)], [[[642.0, 664.0], [744.0, 664.0], [744.0, 701.0], [642.0, 701.0]], ('10.28', 0.9936076402664185)], [[[271.0, 706.0], [337.0, 706.0], [337.0, 748.0], [271.0, 748.0]], ('Tax', 0.9975352883338928)], [[[667.0, 709.0], [748.0, 706.0], [749.0, 746.0], [668.0, 748.0]], ('0.87', 0.993668258190155)], [[[265.0, 754.0], [372.0, 754.0], [372.0, 836.0], [265.0, 836.0]], ('Total', 0.9026215672492981)], [[[656.0, 755.0], [749.0, 755.0], [749.0, 838.0], [656.0, 838.0]], ('11.1', 0.9817866086959839)], [[[76.0, 835.0], [324.0, 842.0], [323.0, 883.0], [75.0, 876.0]], ('Credit Cards', 0.9828405976295471)], [[[475.0, 840.0], [588.0, 840.0], [588.0, 885.0], [475.0, 885.0]], ('11.15', 0.9963865280151367)], [[[259.0, 951.0], [488.0, 953.0], [488.0, 997.0], [259.0, 995.0]], ('Drive Thru', 0.9459705352783203)]]	{"store_name": "Restaurant1101842", "store_addr": "5550TinkerDiagonal DelCity,OK73115", "telephone": "", "date": "2/27/2017", "time": "7:26:28PM", "subtotal": "10.28", "tax": "0.87", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "1/3lbLowCarb", "item_value": "5.39", "item_quantity": "1"}, {"item_key": "", "item_name": "NoR-Onion", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NoMayo", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SantaFeSand", "item_value": "4.89", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[227.0, 0.0], [423.0, 0.0], [423.0, 101.0], [227.0, 101.0]], ('C+7', 0.8465568423271179)], [[[33.0, 142.0], [548.0, 158.0], [547.0, 188.0], [32.0, 172.0]], ('1ease ca11 985-210-7536 with COMMENTS!', 0.935177743434906)], [[[199.0, 181.0], [364.0, 186.0], [364.0, 213.0], [198.0, 207.0]], ('711 CANAL ST', 0.9403402209281921)], [[[212.0, 213.0], [363.0, 218.0], [363.0, 244.0], [212.0, 240.0]], ('NEW ORLEANS', 0.9710926413536072)], [[[263.0, 246.0], [298.0, 246.0], [298.0, 276.0], [263.0, 276.0]], ('LA', 0.9980365037918091)], [[[252.0, 277.0], [324.0, 279.0], [323.0, 308.0], [251.0, 305.0]], ('70130', 0.9993387460708618)], [[[145.0, 306.0], [426.0, 314.0], [425.0, 338.0], [144.0, 331.0]], ('!!!THANK YOU!!!', 0.8447725772857666)], [[[60.0, 338.0], [493.0, 346.0], [493.0, 370.0], [59.0, 362.0]], ('TEL#5045254560Store#10983', 0.958099365234375)], [[[26.0, 429.0], [87.0, 429.0], [87.0, 459.0], [26.0, 459.0]], ('S#2', 0.9964487552642822)], [[[267.0, 432.0], [545.0, 436.0], [545.0, 463.0], [267.0, 459.0]], ("Feb.14'13 Thu)20:06", 0.9080958366394043)], [[[30.0, 494.0], [197.0, 494.0], [197.0, 521.0], [30.0, 521.0]], ('KVS Order 45', 0.8041715621948242)], [[[28.0, 559.0], [127.0, 559.0], [127.0, 586.0], [28.0, 586.0]], ('TY ITEM', 0.9386542439460754)], [[[482.0, 556.0], [552.0, 556.0], [552.0, 584.0], [482.0, 584.0]], ('TOTAL', 0.998400092124939)], [[[28.0, 592.0], [292.0, 589.0], [292.0, 616.0], [28.0, 619.0]], ('60 MED FRENCH FRIES', 0.9390861988067627)], [[[483.0, 589.0], [552.0, 589.0], [552.0, 615.0], [483.0, 615.0]], ('95.40', 0.9960041046142578)], [[[31.0, 655.0], [123.0, 655.0], [123.0, 683.0], [31.0, 683.0]], ('ubtotal', 0.987431526184082)], [[[485.0, 651.0], [554.0, 651.0], [554.0, 679.0], [485.0, 679.0]], ('95.40', 0.9949496388435364)], [[[37.0, 685.0], [86.0, 688.0], [84.0, 719.0], [35.0, 716.0]], ('Tax', 0.9964783787727356)], [[[497.0, 682.0], [555.0, 682.0], [555.0, 712.0], [497.0, 712.0]], ('9.30', 0.9946225881576538)], [[[30.0, 749.0], [207.0, 749.0], [207.0, 775.0], [30.0, 775.0]], ('ake-Out Total', 0.9476627707481384)], [[[472.0, 744.0], [553.0, 741.0], [553.0, 770.0], [473.0, 773.0]], ('104.70', 0.9935986399650574)], [[[32.0, 806.0], [130.0, 808.0], [129.0, 836.0], [31.0, 833.0]], ('ashless', 0.9897700548171997)], [[[470.0, 803.0], [548.0, 800.0], [550.0, 824.0], [471.0, 828.0]], ('104.70', 0.9944230914115906)], [[[489.0, 828.0], [546.0, 825.0], [548.0, 850.0], [491.0, 853.0]], ('0.00', 0.9977408647537231)], [[[70.0, 838.0], [103.0, 841.0], [102.0, 860.0], [69.0, 857.0]], ('ge', 0.9143621921539307)]]	{"store_name": "", "store_addr": "711CANALST NEWORLEANS LA 70130", "telephone": "TEL#5045254560Store#10983", "date": "Feb.14'13(Thu)", "time": "20:06", "subtotal": "95.40", "tax": "9.30", "total": "104.70 104.70", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MEDFRENCHFRIES", "item_value": "95.40", "item_quantity": "1"}, {"item_key": "ITEM", "item_name": "", "item_value": "", "item_quantity": ""}]}