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GHOFRANEE
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Dataset_ocr_to_json

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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	[[[[168.0, 58.0], [442.0, 55.0], [442.0, 95.0], [168.0, 99.0]], ('ZARA', 0.9951443672180176)], [[[119.0, 160.0], [480.0, 155.0], [480.0, 176.0], [120.0, 181.0]], ('ZARA-OXFORD STREET 333-LONDON', 0.9272440671920776)], [[[497.0, 171.0], [557.0, 171.0], [557.0, 188.0], [497.0, 188.0]], ('Crunera', 0.6405268311500549)], [[[171.0, 181.0], [413.0, 178.0], [413.0, 198.0], [171.0, 201.0]], ('PHONE-+442075181550', 0.9805984497070312)], [[[444.0, 198.0], [505.0, 198.0], [505.0, 219.0], [444.0, 219.0]], ('69464', 0.9978371858596802)], [[[87.0, 204.0], [258.0, 200.0], [258.0, 221.0], [88.0, 225.0]], ('31/01/201814:52', 0.9736955761909485)], [[[87.0, 226.0], [238.0, 223.0], [238.0, 243.0], [88.0, 246.0]], ('321934467402', 0.9945821762084961)], [[[354.0, 220.0], [504.0, 216.0], [504.0, 237.0], [355.0, 241.0]], ('Trans:453955', 0.9526717662811279)], [[[88.0, 269.0], [177.0, 269.0], [177.0, 287.0], [88.0, 287.0]], ('SDVAT', 0.9742653965950012)], [[[182.0, 267.0], [232.0, 267.0], [232.0, 289.0], [182.0, 289.0]], ('CUN', 0.9914005398750305)], [[[269.0, 266.0], [325.0, 264.0], [326.0, 287.0], [270.0, 290.0]], ('PRICE', 0.9983648061752319)], [[[378.0, 264.0], [445.0, 264.0], [445.0, 286.0], [378.0, 286.0]], ('AMOUNT', 0.9964967370033264)], [[[89.0, 311.0], [201.0, 311.0], [201.0, 328.0], [89.0, 328.0]], ('RM2000S', 0.9911238551139832)], [[[291.0, 308.0], [347.0, 308.0], [347.0, 330.0], [291.0, 330.0]], ('14.99', 0.9946637153625488)], [[[420.0, 306.0], [504.0, 306.0], [504.0, 330.0], [420.0, 330.0]], ('14.99P', 0.9746890068054199)], [[[91.0, 331.0], [179.0, 334.0], [178.0, 352.0], [90.0, 349.0]], ('10001875', 0.9976029992103577)], [[[172.0, 332.0], [339.0, 332.0], [339.0, 350.0], [172.0, 350.0]], ('1247320220243', 0.996330976486206)], [[[354.0, 332.0], [478.0, 332.0], [478.0, 353.0], [354.0, 353.0]], ('SPORT SHOES', 0.9598011374473572)], [[[87.0, 373.0], [145.0, 373.0], [145.0, 395.0], [87.0, 395.0]], ('Total', 0.9969975352287292)], [[[260.0, 376.0], [273.0, 376.0], [273.0, 393.0], [260.0, 393.0]], ('1', 0.9252488613128662)], [[[419.0, 376.0], [478.0, 376.0], [478.0, 398.0], [419.0, 398.0]], ('14.99', 0.9950317144393921)], [[[100.0, 416.0], [283.0, 418.0], [283.0, 436.0], [99.0, 434.0]], ('Cred/Debit Online', 0.9766117334365845)], [[[311.0, 419.0], [324.0, 419.0], [324.0, 435.0], [311.0, 435.0]], ('f', 0.9871364831924438)], [[[418.0, 420.0], [476.0, 420.0], [476.0, 441.0], [418.0, 441.0]], ('14.99', 0.9910823702812195)], [[[271.0, 439.0], [316.0, 439.0], [316.0, 457.0], [271.0, 457.0]], ('SALE', 0.9990040063858032)], [[[91.0, 453.0], [218.0, 456.0], [218.0, 476.0], [90.0, 473.0]], ('Card Number', 0.9635957479476929)], [[[323.0, 460.0], [492.0, 462.0], [492.0, 479.0], [322.0, 477.0]], ('9********', 0.7058629989624023)], [[[93.0, 475.0], [177.0, 475.0], [177.0, 493.0], [93.0, 493.0]], ('Ent.Aut:', 0.9292100071907043)], [[[277.0, 518.0], [312.0, 518.0], [312.0, 538.0], [277.0, 538.0]], ('ICC', 0.9976415634155273)], [[[82.0, 553.0], [127.0, 553.0], [127.0, 576.0], [82.0, 576.0]], ('S/N:', 0.9423394203186035)], [[[408.0, 564.0], [496.0, 564.0], [496.0, 585.0], [408.0, 585.0]], ('60002501', 0.9977569580078125)], [[[81.0, 575.0], [259.0, 582.0], [259.0, 602.0], [80.0, 595.0]], ('Authorization N.', 0.9625411033630371)], [[[428.0, 583.0], [500.0, 586.0], [500.0, 608.0], [428.0, 605.0]], ('031850', 0.9977796673774719)], [[[77.0, 595.0], [174.0, 601.0], [173.0, 622.0], [76.0, 616.0]], ('STAN9031', 0.9961617588996887)], [[[405.0, 605.0], [500.0, 609.0], [500.0, 631.0], [405.0, 628.0]], ('B.C.ICC', 0.9471060633659363)], [[[73.0, 617.0], [156.0, 621.0], [155.0, 642.0], [72.0, 639.0]], ('A.I.I.C.', 0.922333836555481)], [[[373.0, 628.0], [498.0, 632.0], [498.0, 653.0], [372.0, 649.0]], ('10003826401', 0.9979772567749023)], [[[529.0, 624.0], [558.0, 624.0], [558.0, 643.0], [529.0, 643.0]], ('F9', 0.534864068031311)], [[[73.0, 639.0], [224.0, 646.0], [223.0, 668.0], [72.0, 661.0]], ('Date31/01/18', 0.9933716654777527)], [[[371.0, 651.0], [502.0, 654.0], [502.0, 678.0], [370.0, 675.0]], ('Time:14:52', 0.9115238189697266)], [[[68.0, 684.0], [143.0, 686.0], [142.0, 711.0], [67.0, 709.0]], ('Amount:', 0.9820228815078735)], [[[75.0, 709.0], [133.0, 713.0], [132.0, 732.0], [74.0, 728.0]], ('*', 0.7016708254814148)], [[[395.0, 700.0], [499.0, 700.0], [499.0, 717.0], [395.0, 717.0]], ('14.99GBP', 0.9830783009529114)], [[[164.0, 714.0], [486.0, 716.0], [486.0, 737.0], [164.0, 735.0]], ('THANKS FOR YOUR VISIT***', 0.8861726522445679)], [[[77.0, 754.0], [485.0, 756.0], [485.0, 781.0], [77.0, 778.0]], ('The last date for exchange or refund', 0.943252682685852)], [[[96.0, 783.0], [463.0, 783.0], [463.0, 804.0], [96.0, 804.0]], ('in accordance with our policy is', 0.9442469477653503)], [[[219.0, 808.0], [336.0, 808.0], [336.0, 829.0], [219.0, 829.0]], ('03/03/2018', 0.9985288381576538)]]	{"store_name": "ZARA", "store_addr": "ZARA-OXFORDSTREET333-LONDON", "telephone": "-+442075181550", "date": "31/01/2018 31/01/18", "time": "14:52 14:52", "subtotal": "", "tax": "", "total": "14.99 14.99", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SPORTSHOES", "item_value": "14.99", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "14.99P", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "14.99GBP", "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	[[[[178.0, 6.0], [288.0, 11.0], [287.0, 25.0], [178.0, 20.0]], ('7900 Norfolk Ave.', 0.9210296869277954)], [[[185.0, 0.0], [282.0, 0.0], [282.0, 13.0], [185.0, 9.0]], ('Bethesda #1065', 0.9556131958961487)], [[[170.0, 18.0], [296.0, 21.0], [296.0, 35.0], [170.0, 32.0]], ('Bethesda.MD.20814', 0.9492674469947815)], [[[195.0, 31.0], [277.0, 33.0], [277.0, 46.0], [195.0, 44.0]], ('301-652-1311', 0.9846741557121277)], [[[90.0, 63.0], [184.0, 65.0], [184.0, 79.0], [89.0, 77.0]], ('Server: Kelsey', 0.9175305962562561)], [[[315.0, 66.0], [384.0, 66.0], [384.0, 80.0], [315.0, 80.0]], ('12/05/2015', 0.9975830316543579)], [[[90.0, 76.0], [152.0, 76.0], [152.0, 90.0], [90.0, 90.0]], ('Table 3/1', 0.9274225234985352)], [[[88.0, 88.0], [151.0, 91.0], [150.0, 105.0], [87.0, 102.0]], ('Guests:1', 0.963394284248352)], [[[334.0, 79.0], [385.0, 79.0], [385.0, 93.0], [334.0, 93.0]], ('9:53PM', 0.9225978851318359)], [[[82.0, 123.0], [211.0, 125.0], [211.0, 142.0], [82.0, 141.0]], ('Order Type:Order', 0.9526947140693665)], [[[86.0, 114.0], [171.0, 114.0], [171.0, 127.0], [86.0, 127.0]], ('Reprint #1', 0.9417520761489868)], [[[82.0, 163.0], [148.0, 163.0], [148.0, 177.0], [82.0, 177.0]], ('Wheat Hse', 0.9494049549102783)], [[[360.0, 164.0], [393.0, 164.0], [393.0, 179.0], [360.0, 179.0]], ('5.25', 0.9941912889480591)], [[[94.0, 176.0], [196.0, 176.0], [196.0, 189.0], [94.0, 189.0]], ('Wheat Hs NONIC', 0.9705126881599426)], [[[79.0, 187.0], [195.0, 189.0], [195.0, 203.0], [78.0, 201.0]], ('Cod Fish & Chips', 0.9488326907157898)], [[[357.0, 190.0], [396.0, 190.0], [396.0, 205.0], [357.0, 205.0]], ('13.99', 0.9953464269638062)], [[[76.0, 200.0], [223.0, 202.0], [223.0, 216.0], [76.0, 214.0]], ('MJ Bourbon Pecan Pie', 0.9441853761672974)], [[[364.0, 203.0], [397.0, 203.0], [397.0, 218.0], [364.0, 218.0]], ('6.99', 0.9911710023880005)], [[[75.0, 213.0], [160.0, 215.0], [159.0, 228.0], [74.0, 226.0]], ('Red Ale Hse', 0.9470043778419495)], [[[87.0, 226.0], [208.0, 228.0], [208.0, 242.0], [86.0, 240.0]], ('Red Ale Hs NONIC', 0.9315545558929443)], [[[365.0, 217.0], [399.0, 217.0], [399.0, 231.0], [365.0, 231.0]], ('5.25', 0.9970672130584717)], [[[70.0, 239.0], [214.0, 242.0], [214.0, 256.0], [70.0, 253.0]], ("Maker's Mark Burger", 0.9374069571495056)], [[[83.0, 252.0], [163.0, 255.0], [162.0, 269.0], [82.0, 266.0]], ('Sub Caesar', 0.9660085439682007)], [[[362.0, 243.0], [402.0, 243.0], [402.0, 258.0], [362.0, 258.0]], ('10.99', 0.9964157342910767)], [[[370.0, 258.0], [404.0, 258.0], [404.0, 273.0], [370.0, 273.0]], ('1.95', 0.9954912066459656)], [[[65.0, 280.0], [197.0, 282.0], [197.0, 298.0], [65.0, 296.0]], ('Complete Subtotal', 0.9784815311431885)], [[[365.0, 283.0], [408.0, 286.0], [407.0, 304.0], [364.0, 301.0]], ('44.42', 0.9869316816329956)], [[[60.0, 311.0], [126.0, 311.0], [126.0, 328.0], [60.0, 328.0]], ('Subtotal', 0.996555507183075)], [[[369.0, 313.0], [413.0, 316.0], [412.0, 334.0], [368.0, 331.0]], ('44.42', 0.9915362596511841)], [[[58.0, 326.0], [87.0, 329.0], [85.0, 345.0], [57.0, 342.0]], ('Tax', 0.9959689974784851)], [[[380.0, 330.0], [414.0, 333.0], [413.0, 349.0], [378.0, 346.0]], ('2.99', 0.9972444772720337)], [[[54.0, 360.0], [97.0, 360.0], [97.0, 378.0], [54.0, 378.0]], ('Total', 0.9985721707344055)], [[[375.0, 360.0], [420.0, 363.0], [419.0, 382.0], [374.0, 379.0]], ('47.41', 0.9916666746139526)], [[[51.0, 396.0], [237.0, 396.0], [237.0, 413.0], [51.0, 413.0]], ('Balance Due', 0.9534797668457031)], [[[339.0, 397.0], [421.0, 397.0], [421.0, 415.0], [339.0, 415.0]], ('47.41', 0.9656578302383423)]]	{"store_name": "", "store_addr": "7900NorfolkAve. Bethesda,MD.20814", "telephone": "301-652-1311", "date": "12/05/2015", "time": "9:53PM", "subtotal": "44.42 44.42", "tax": "2.99", "total": "47.41 47.41", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "WheatHse", "item_value": "5.25", "item_quantity": "1"}, {"item_key": "", "item_name": "WheatHsNONIC", "item_value": "13.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CodFish&Chips", "item_value": "6.99", "item_quantity": "1"}, {"item_key": "", "item_name": "MJBourbonPecanPie", "item_value": "5.25", "item_quantity": "1"}, {"item_key": "", "item_name": "RedAleHse", "item_value": "10.99", "item_quantity": "1"}, {"item_key": "", "item_name": "RedAleHsNONIC", "item_value": "1.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Maker'sMarkBurger", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SubCaesar", "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	[[[[177.0, 138.0], [204.0, 138.0], [204.0, 150.0], [177.0, 150.0]], ('NIKE', 0.9961247444152832)], [[[166.0, 151.0], [209.0, 151.0], [209.0, 165.0], [166.0, 165.0]], ('Chicago', 0.9668081402778625)], [[[128.0, 167.0], [247.0, 163.0], [247.0, 177.0], [128.0, 181.0]], ('669 N Michigan fvenue', 0.8603999018669128)], [[[137.0, 181.0], [237.0, 177.0], [238.0, 190.0], [138.0, 195.0]], ('Chca90IL 60611', 0.8786300420761108)], [[[123.0, 195.0], [260.0, 190.0], [261.0, 203.0], [123.0, 208.0]], ('Teephone312642-6363', 0.8697725534439087)], [[[75.0, 252.0], [217.0, 248.0], [217.0, 262.0], [75.0, 266.0]], ('AIR JORDAN 1 REIRO HIGH O', 0.849536657333374)], [[[271.0, 245.0], [315.0, 245.0], [315.0, 260.0], [271.0, 260.0]], ('160.007', 0.9606457352638245)], [[[80.0, 267.0], [150.0, 265.0], [151.0, 278.0], [80.0, 280.0]], ('885259846414', 0.9949026107788086)], [[[74.0, 295.0], [121.0, 295.0], [121.0, 309.0], [74.0, 309.0]], ('Subtotal', 0.9789676666259766)], [[[273.0, 290.0], [317.0, 290.0], [317.0, 304.0], [273.0, 304.0]], ('$16000', 0.9649161696434021)], [[[74.0, 311.0], [93.0, 311.0], [93.0, 323.0], [74.0, 323.0]], ('Tax', 0.9927231669425964)], [[[285.0, 305.0], [318.0, 305.0], [318.0, 319.0], [285.0, 319.0]], ('14.80', 0.9705296754837036)], [[[73.0, 324.0], [104.0, 324.0], [104.0, 338.0], [73.0, 338.0]], ('Total', 0.9325881004333496)], [[[273.0, 320.0], [318.0, 320.0], [318.0, 334.0], [273.0, 334.0]], ('$174.80', 0.968553900718689)], [[[116.0, 353.0], [265.0, 351.0], [265.0, 364.0], [116.0, 366.0]], ('Number of Itess) Sold1', 0.8183833956718445)], [[[104.0, 368.0], [278.0, 366.0], [278.0, 380.0], [105.0, 382.0]], ('Nunber of Itens Returned0', 0.853175938129425)], [[[70.0, 399.0], [98.0, 399.0], [98.0, 414.0], [70.0, 414.0]], ('Cash', 0.9935792088508606)], [[[276.0, 396.0], [322.0, 396.0], [322.0, 410.0], [276.0, 410.0]], ('0008', 0.8798198699951172)], [[[70.0, 416.0], [138.0, 416.0], [138.0, 430.0], [70.0, 430.0]], ('Cash Change', 0.9685041904449463)], [[[288.0, 412.0], [322.0, 412.0], [322.0, 426.0], [288.0, 426.0]], ('$5.20', 0.9865542650222778)], [[[70.0, 461.0], [239.0, 459.0], [239.0, 473.0], [70.0, 475.0]], ('Store00060 Date: 5/30/2015', 0.9191910028457642)], [[[253.0, 459.0], [324.0, 457.0], [324.0, 471.0], [253.0, 473.0]], ('Tin1243', 0.8889535069465637)], [[[71.0, 476.0], [134.0, 476.0], [134.0, 489.0], [71.0, 489.0]], ('Op248712', 0.8979640007019043)], [[[169.0, 476.0], [221.0, 473.0], [222.0, 488.0], [169.0, 490.0]], ('Reg001', 0.9042908549308777)], [[[254.0, 474.0], [324.0, 473.0], [324.0, 487.0], [254.0, 488.0]], ('Tran 88466', 0.9080537557601929)]]	{"store_name": "NIKE", "store_addr": "Chicagyo Chicago,IL60611", "telephone": "(312)6426363", "date": "5/30/2015", "time": "12.43", "subtotal": "$160.00", "tax": "14.80", "total": "$174.80", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "AIRJORDAN1RETROHIGHD", "item_value": "160.00T", "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	[[[[218.0, 152.0], [501.0, 141.0], [502.0, 162.0], [219.0, 173.0]], ('Black Diamond Car Wash', 0.9400940537452698)], [[[267.0, 175.0], [448.0, 166.0], [449.0, 187.0], [268.0, 196.0]], ('1414 Hec1a Way', 0.9071769118309021)], [[[224.0, 205.0], [488.0, 189.0], [489.0, 210.0], [226.0, 225.0]], ('Louisvi1le, co 80027', 0.8485169410705566)], [[[277.0, 229.0], [437.0, 219.0], [438.0, 241.0], [278.0, 250.0]], ('303-666-6696', 0.9873589873313904)], [[[383.0, 283.0], [637.0, 268.0], [639.0, 290.0], [384.0, 305.0]], ('01/15/15,10:49AM', 0.946143388748169)], [[[89.0, 298.0], [257.0, 288.0], [258.0, 313.0], [91.0, 323.0]], ('WashCashier1,', 0.9803858399391174)], [[[382.0, 314.0], [640.0, 300.0], [642.0, 324.0], [383.0, 338.0]], ('Sale# 52882706688', 0.9647379517555237)], [[[88.0, 331.0], [297.0, 318.0], [299.0, 343.0], [89.0, 356.0]], ('Shift 1,Empl1,', 0.8934407830238342)], [[[552.0, 369.0], [633.0, 365.0], [634.0, 394.0], [554.0, 398.0]], ('29.95', 0.9962302446365356)], [[[165.0, 393.0], [410.0, 379.0], [412.0, 404.0], [166.0, 418.0]], ('1Express Wax Wash', 0.9469738006591797)], [[[570.0, 406.0], [634.0, 403.0], [635.0, 430.0], [571.0, 433.0]], ('3.00', 0.9978095293045044)], [[[165.0, 426.0], [440.0, 413.0], [441.0, 438.0], [166.0, 451.0]], ('1Mini/SUV-ExpWaxWsh', 0.9580535888671875)], [[[572.0, 442.0], [636.0, 439.0], [637.0, 467.0], [573.0, 470.0]], ('9.00', 0.9974038600921631)], [[[165.0, 462.0], [408.0, 452.0], [409.0, 477.0], [166.0, 487.0]], ('1 Seats Lthr/Viny', 0.9532103538513184)], [[[572.0, 478.0], [639.0, 476.0], [641.0, 506.0], [573.0, 509.0]], ('6.00', 0.9981330633163452)], [[[164.0, 494.0], [250.0, 494.0], [250.0, 523.0], [164.0, 523.0]], ('1 Rims', 0.9101694226264954)], [[[360.0, 560.0], [475.0, 557.0], [475.0, 585.0], [361.0, 588.0]], ('Subtotal', 0.9970721006393433)], [[[565.0, 554.0], [645.0, 554.0], [645.0, 582.0], [565.0, 582.0]], ('47.95', 0.9950147867202759)], [[[348.0, 598.0], [479.0, 596.0], [480.0, 621.0], [349.0, 623.0]], ('Sales Tax', 0.9502296447753906)], [[[577.0, 590.0], [646.0, 590.0], [646.0, 620.0], [577.0, 620.0]], ('0.00', 0.9981185793876648)], [[[405.0, 630.0], [480.0, 630.0], [480.0, 660.0], [405.0, 660.0]], ('Total', 0.9985074996948242)], [[[567.0, 628.0], [645.0, 628.0], [645.0, 655.0], [567.0, 655.0]], ('47.95', 0.9944790005683899)], [[[204.0, 703.0], [316.0, 701.0], [317.0, 727.0], [205.0, 729.0]], ('DISCOVER', 0.9980471134185791)], [[[565.0, 696.0], [645.0, 693.0], [646.0, 723.0], [566.0, 725.0]], ('47.95', 0.9955498576164246)], [[[108.0, 802.0], [649.0, 790.0], [650.0, 819.0], [109.0, 830.0]], ('Your wash service advisor was Owner#1.', 0.957575261592865)], [[[272.0, 866.0], [489.0, 856.0], [490.0, 882.0], [274.0, 892.0]], ('Car#328', 0.9855334162712097)]]	{"store_name": "BlackDiamondCarWash", "store_addr": "1414HeclaWay Louisville,CO80027", "telephone": "303-666-6696", "date": "01/15/15,", "time": "10:49AM", "subtotal": "47.95", "tax": "0.00", "total": "47.95", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ExpressWaxWash", "item_value": "29.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Mini/SUV-ExpWaxwsh", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SeatsLthr/Vinyl", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Rims", "item_value": "6.00", "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	[[[[47.0, 141.0], [261.0, 134.0], [261.0, 154.0], [47.0, 161.0]], ('Mitcheldean Garage', 0.9756412506103516)], [[[46.0, 165.0], [145.0, 160.0], [146.0, 182.0], [47.0, 186.0]], ('New Road', 0.9375303983688354)], [[[46.0, 188.0], [181.0, 184.0], [182.0, 205.0], [47.0, 209.0]], ('Mitcheldean', 0.9919674396514893)], [[[51.0, 212.0], [100.0, 212.0], [100.0, 231.0], [51.0, 231.0]], ('Glos', 0.8551656007766724)], [[[49.0, 235.0], [148.0, 230.0], [149.0, 252.0], [51.0, 257.0]], ('GL170BX', 0.9705438017845154)], [[[50.0, 282.0], [150.0, 279.0], [151.0, 300.0], [50.0, 303.0]], ('M4558', 0.9097765684127808)], [[[229.0, 275.0], [337.0, 273.0], [337.0, 293.0], [230.0, 295.0]], ('2628', 0.8705531358718872)], [[[53.0, 308.0], [208.0, 301.0], [208.0, 321.0], [53.0, 328.0]], ('CUSTOMERCOPY', 0.9932926297187805)], [[[55.0, 331.0], [324.0, 321.0], [324.0, 341.0], [55.0, 351.0]], ('This is not UAT receipt', 0.8809040188789368)], [[[53.0, 378.0], [107.0, 378.0], [107.0, 408.0], [53.0, 408.0]], ('Visa', 0.9394838213920593)], [[[57.0, 414.0], [270.0, 405.0], [270.0, 425.0], [57.0, 434.0]], ('AID:A0000000031010', 0.9531152248382568)], [[[57.0, 437.0], [306.0, 427.0], [307.0, 448.0], [57.0, 457.0]], ('CARD*********4152', 0.813122034072876)], [[[56.0, 461.0], [225.0, 455.0], [226.0, 475.0], [56.0, 481.0]], ('PAN Seq Nr 04', 0.8874568939208984)], [[[57.0, 483.0], [155.0, 481.0], [156.0, 502.0], [57.0, 505.0]], ('ICC SALE', 0.945982038974762)], [[[58.0, 508.0], [123.0, 508.0], [123.0, 539.0], [58.0, 539.0]], ('TOTAL', 0.9985679388046265)], [[[273.0, 502.0], [345.0, 497.0], [347.0, 527.0], [275.0, 532.0]], ('15.25', 0.9932095408439636)], [[[62.0, 567.0], [310.0, 558.0], [311.0, 578.0], [62.0, 588.0]], ('Customer PIN verified', 0.9405243396759033)], [[[63.0, 592.0], [309.0, 582.0], [310.0, 603.0], [64.0, 613.0]], ('Please retain receipt', 0.9259634613990784)], [[[63.0, 616.0], [253.0, 608.0], [254.0, 630.0], [64.0, 637.0]], ('for your records', 0.9532009363174438)], [[[99.0, 641.0], [300.0, 631.0], [301.0, 657.0], [100.0, 667.0]], ('Auth Code009969', 0.9640137553215027)], [[[265.0, 666.0], [349.0, 663.0], [350.0, 684.0], [266.0, 688.0]], ('T019082', 0.9792400002479553)], [[[65.0, 698.0], [163.0, 694.0], [164.0, 715.0], [66.0, 719.0]], ('13/06/15', 0.9897346496582031)], [[[218.0, 694.0], [349.0, 687.0], [350.0, 707.0], [219.0, 714.0]], ('14:12R7961', 0.9552336931228638)], [[[67.0, 719.0], [182.0, 719.0], [182.0, 739.0], [67.0, 739.0]], ('Thank You.', 0.8809579014778137)]]	{"store_name": "MitcheldeanGarage", "store_addr": "NewRoad Mitcheldean Glos GL170BX", "telephone": "", "date": "13/06/15", "time": "14:12", "subtotal": "", "tax": "", "total": "\uffe115.25", "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	[[[[78.0, 19.0], [321.0, 34.0], [319.0, 62.0], [76.0, 47.0]], ('Regning til', 0.9502565860748291)], [[[78.0, 42.0], [205.0, 54.0], [202.0, 77.0], [76.0, 66.0]], ('Bord nr.81', 0.9611675143241882)], [[[73.0, 88.0], [280.0, 99.0], [278.0, 123.0], [72.0, 113.0]], ('Middelhavet burger', 0.9721491932868958)], [[[466.0, 91.0], [525.0, 87.0], [526.0, 109.0], [468.0, 113.0]], ('99,00', 0.9197795987129211)], [[[74.0, 112.0], [127.0, 117.0], [125.0, 140.0], [71.0, 135.0]], ('Thor', 0.9978524446487427)], [[[470.0, 111.0], [529.0, 111.0], [529.0, 133.0], [470.0, 133.0]], ('99,00', 0.963593602180481)], [[[72.0, 136.0], [203.0, 141.0], [202.0, 168.0], [71.0, 163.0]], ('Juice,glas', 0.9498775601387024)], [[[473.0, 132.0], [532.0, 132.0], [532.0, 155.0], [473.0, 155.0]], ('29,00', 0.894263744354248)], [[[68.0, 161.0], [202.0, 164.0], [201.0, 190.0], [67.0, 186.0]], ('Pepsi 50 c1', 0.8755931854248047)], [[[474.0, 155.0], [536.0, 152.0], [537.0, 175.0], [475.0, 177.0]], ('39,00', 0.9339486956596375)], [[[481.0, 198.0], [544.0, 198.0], [544.0, 222.0], [481.0, 222.0]], ('36,69', 0.9353267550468445)], [[[66.0, 210.0], [215.0, 212.0], [215.0, 238.0], [65.0, 236.0]], ('Subtotal EUR', 0.9593955874443054)], [[[472.0, 224.0], [547.0, 220.0], [548.0, 244.0], [473.0, 248.0]], ('266,00', 0.9612334370613098)], [[[67.0, 239.0], [212.0, 239.0], [212.0, 261.0], [67.0, 261.0]], ('Subtotal DKK', 0.9383931756019592)], [[[408.0, 276.0], [552.0, 268.0], [554.0, 294.0], [409.0, 301.0]], ('200,00', 0.9428319931030273)], [[[61.0, 290.0], [231.0, 287.0], [231.0, 313.0], [61.0, 317.0]], ('Kontant', 0.9881359338760376)], [[[413.0, 302.0], [555.0, 295.0], [557.0, 321.0], [414.0, 328.0]], ('100,00', 0.9483479857444763)], [[[59.0, 316.0], [233.0, 312.0], [234.0, 341.0], [59.0, 345.0]], ('Kontant', 0.9893677830696106)], [[[435.0, 328.0], [560.0, 323.0], [561.0, 348.0], [436.0, 353.0]], ('3400', 0.9928507208824158)], [[[60.0, 346.0], [234.0, 342.0], [235.0, 369.0], [60.0, 372.0]], ('Tilbage', 0.9945201277732849)], [[[403.0, 386.0], [485.0, 386.0], [485.0, 410.0], [403.0, 410.0]], ('MOMS', 0.9904748201370239)], [[[475.0, 384.0], [595.0, 379.0], [596.0, 402.0], [476.0, 407.0]], ('Brutto om', 0.9453864693641663)], [[[52.0, 401.0], [136.0, 403.0], [135.0, 430.0], [51.0, 427.0]], ('%-Moms', 0.9720584750175476)], [[[196.0, 398.0], [314.0, 392.0], [316.0, 418.0], [197.0, 424.0]], ('Netto oms', 0.9578422904014587)], [[[364.0, 415.0], [434.0, 411.0], [436.0, 439.0], [366.0, 443.0]], ('53,20', 0.9382899403572083)], [[[494.0, 409.0], [575.0, 405.0], [576.0, 432.0], [495.0, 436.0]], ('266,00', 0.9605672955513)], [[[50.0, 431.0], [133.0, 431.0], [133.0, 458.0], [50.0, 458.0]], ('25.00%', 0.9981268048286438)], [[[206.0, 425.0], [289.0, 419.0], [291.0, 446.0], [208.0, 453.0]], ('212,80', 0.9445347785949707)], [[[406.0, 475.0], [529.0, 469.0], [531.0, 493.0], [408.0, 498.0]], ('Oper Term', 0.9454048871994019)], [[[141.0, 490.0], [375.0, 475.0], [377.0, 501.0], [143.0, 516.0]], ('Bon nr.Dato Tid', 0.947997510433197)], [[[141.0, 522.0], [532.0, 499.0], [534.0, 524.0], [143.0, 548.0]], ('211219 1607102046 53969 5021', 0.949748694896698)], [[[208.0, 584.0], [457.0, 568.0], [459.0, 597.0], [210.0, 613.0]], ('Regning nr.104187', 0.9708484411239624)], [[[208.0, 652.0], [477.0, 636.0], [478.0, 665.0], [210.0, 681.0]], ('De blev betjent af', 0.9480879902839661)], [[[251.0, 685.0], [425.0, 675.0], [427.0, 705.0], [253.0, 715.0]], ('Susanne Blak', 0.9559268951416016)], [[[209.0, 762.0], [491.0, 749.0], [492.0, 778.0], [210.0, 791.0]], ('Kob en stor popcorn', 0.9385244250297546)], [[[239.0, 798.0], [466.0, 786.0], [467.0, 815.0], [241.0, 828.0]], ('i Tivoligrillen', 0.956377387046814)], [[[147.0, 842.0], [571.0, 814.0], [573.0, 849.0], [149.0, 878.0]], ('Din priskr.20', 0.9626623392105103)], [[[212.0, 881.0], [483.0, 863.0], [485.0, 895.0], [214.0, 913.0]], ('Normalpris kr.35', 0.9499140977859497)], [[[38.0, 931.0], [660.0, 893.0], [662.0, 926.0], [40.0, 964.0]], ('Tilbuddet ga lder mod af levering af bonen', 0.9440355896949768)], [[[147.0, 970.0], [570.0, 941.0], [572.0, 973.0], [149.0, 1002.0]], ('og er kun gyldigt dags dato', 0.935589611530304)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "212,80", "tax": "53,20", "total": "266,00 266,00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Pepsi50cl", "item_value": "99,00", "item_quantity": "1"}, {"item_key": "", "item_name": "Juice,glas", "item_value": "99,00", "item_quantity": "1"}, {"item_key": "", "item_name": "Thor", "item_value": "29,00", "item_quantity": "1"}, {"item_key": "", "item_name": "Middelhavetburger", "item_value": "39,00", "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	[[[[130.0, 0.0], [316.0, 2.0], [316.0, 18.0], [130.0, 16.0]], ('26-26b Nguyen', 0.8055815100669861)], [[[47.0, 24.0], [213.0, 21.0], [214.0, 46.0], [47.0, 48.0]], ('107PHUNTPOS07', 0.9723988175392151)], [[[347.0, 20.0], [527.0, 20.0], [527.0, 42.0], [347.0, 42.0]], ('11125DIEMPHUC', 0.9842604398727417)], [[[43.0, 55.0], [188.0, 52.0], [189.0, 77.0], [44.0, 80.0]], ('Print Cnt1', 0.9627262949943542)], [[[347.0, 48.0], [528.0, 50.0], [528.0, 75.0], [346.0, 73.0]], ('11125DIEM PHUC', 0.9632371068000793)], [[[45.0, 115.0], [185.0, 109.0], [186.0, 134.0], [46.0, 139.0]], ('Check:327881', 0.9527896046638489)], [[[443.0, 109.0], [531.0, 109.0], [531.0, 134.0], [443.0, 134.0]], ('Cover:3', 0.9794931411743164)], [[[45.0, 144.0], [261.0, 140.0], [261.0, 163.0], [45.0, 168.0]], ('29 Apr 12 18:33:22', 0.8810851573944092)], [[[373.0, 141.0], [528.0, 141.0], [528.0, 163.0], [373.0, 163.0]], ('TABLE:106/1', 0.9469472765922546)], [[[77.0, 204.0], [322.0, 200.0], [323.0, 222.0], [78.0, 225.0]], ('PL_HALF&HALF PIZZA I', 0.9414790272712708)], [[[394.0, 199.0], [482.0, 199.0], [482.0, 225.0], [394.0, 225.0]], ('229,000', 0.944485604763031)], [[[95.0, 234.0], [323.0, 231.0], [324.0, 253.0], [95.0, 256.0]], ('1/2 PL_MEATLOVERS I', 0.9325926899909973)], [[[95.0, 265.0], [408.0, 262.0], [408.0, 282.0], [95.0, 285.0]], ('1/2 PL_CHICKEN BLACK PEP I', 0.9213507175445557)], [[[79.0, 294.0], [324.0, 292.0], [324.0, 314.0], [79.0, 315.0]], ('PR_HALF&HALF PIZZA I', 0.9420186281204224)], [[[395.0, 290.0], [481.0, 290.0], [481.0, 315.0], [395.0, 315.0]], ('149,000', 0.9603738188743591)], [[[96.0, 323.0], [288.0, 322.0], [288.0, 344.0], [96.0, 345.0]], ('1/2 PR_SUPREME I', 0.9408614039421082)], [[[97.0, 354.0], [408.0, 352.0], [408.0, 372.0], [97.0, 374.0]], ('1/2 PR_CHICKEN BLACK PEP I', 0.9289541244506836)], [[[49.0, 381.0], [66.0, 384.0], [62.0, 408.0], [45.0, 404.0]], ('2', 0.9750620722770691)], [[[83.0, 383.0], [346.0, 381.0], [346.0, 403.0], [83.0, 404.0]], ('GARLIC BREAD I @30000', 0.9014064073562622)], [[[406.0, 380.0], [481.0, 377.0], [482.0, 403.0], [407.0, 405.0]], ('60,000', 0.9594281315803528)], [[[49.0, 411.0], [64.0, 411.0], [64.0, 435.0], [49.0, 435.0]], ('1', 0.778511643409729)], [[[83.0, 412.0], [181.0, 412.0], [181.0, 434.0], [83.0, 434.0]], ('DASANI I', 0.9733595848083496)], [[[407.0, 409.0], [481.0, 409.0], [481.0, 435.0], [407.0, 435.0]], ('19,000', 0.9391375184059143)], [[[49.0, 441.0], [65.0, 441.0], [65.0, 464.0], [49.0, 464.0]], ('3', 0.996850311756134)], [[[83.0, 442.0], [265.0, 440.0], [265.0, 461.0], [84.0, 463.0]], ('NONLOCAL CUST I', 0.9359776377677917)], [[[466.0, 440.0], [482.0, 440.0], [482.0, 463.0], [466.0, 463.0]], ('0', 0.7633460760116577)], [[[49.0, 470.0], [65.0, 470.0], [65.0, 494.0], [49.0, 494.0]], ('2', 0.9853842854499817)], [[[83.0, 470.0], [481.0, 468.0], [481.0, 492.0], [83.0, 494.0]], ('COCA-COLA LIGHTCAN) I @25 50000', 0.9185940623283386)], [[[50.0, 501.0], [66.0, 501.0], [66.0, 522.0], [50.0, 522.0]], ('3', 0.9943367838859558)], [[[84.0, 501.0], [264.0, 501.0], [264.0, 523.0], [84.0, 523.0]], ('SPITE I@21,000', 0.9117791056632996)], [[[407.0, 498.0], [481.0, 498.0], [481.0, 524.0], [407.0, 524.0]], ('63,000', 0.9383280873298645)], [[[87.0, 559.0], [204.0, 559.0], [204.0, 581.0], [87.0, 581.0]], ('Sub Total', 0.9295552372932434)], [[[395.0, 557.0], [481.0, 557.0], [481.0, 582.0], [395.0, 582.0]], ('570.000', 0.9823365211486816)], [[[86.0, 588.0], [468.0, 588.0], [468.0, 612.0], [86.0, 612.0]], ('AmtDue:570.000', 0.9031041264533997)], [[[89.0, 618.0], [170.0, 618.0], [170.0, 639.0], [89.0, 639.0]], ('10%UAT', 0.9688119888305664)], [[[407.0, 618.0], [480.0, 618.0], [480.0, 640.0], [407.0, 640.0]], ('51.818', 0.9901120066642761)], [[[81.0, 647.0], [471.0, 647.0], [471.0, 668.0], [81.0, 668.0]], ('-11125ST0RED29Apr 12 19:32:45', 0.9142522215843201)], [[[242.0, 674.0], [352.0, 676.0], [351.0, 699.0], [241.0, 696.0]], ('Thank You', 0.9390625357627869)], [[[227.0, 705.0], [364.0, 705.0], [364.0, 719.0], [227.0, 719.0]], ('e Come Aoai', 0.6876887083053589)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "29Apr12 29Apr12", "time": "18:33:22 19:32:45", "subtotal": "570,000", "tax": "51,818", "total": "570,000", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PL_HALF&HALFPIZZAI", "item_value": "229,000", "item_quantity": "1"}, {"item_key": "", "item_name": "1/2PL_MEATLOVERSI", "item_value": "149,000", "item_quantity": "1"}, {"item_key": "", "item_name": "1/2PL_CHICKENBLACKPEPI", "item_value": "60,000", "item_quantity": "1"}, {"item_key": "", "item_name": "PR_HALF&HALFPIZZAI", "item_value": "19,000", "item_quantity": "1"}, {"item_key": "", "item_name": "1/2PR_SUPREMEI", "item_value": "0", "item_quantity": "1"}, {"item_key": "", "item_name": "1/2PR_CHICKENBLACKPEPI", "item_value": "50,000", "item_quantity": "1"}, {"item_key": "", "item_name": "GARLICBREADI@30,000", "item_value": "63,000", "item_quantity": "1"}, {"item_key": "", "item_name": "DASANII", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "NONLOCALCUSTI", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "COCA-COLALIGHT(CAN)I@25", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SPITEI@21,000", "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	[[[[119.0, 1.0], [206.0, 1.0], [206.0, 8.0], [119.0, 8.0]], ('Slh98p0re-04952', 0.7375015020370483)], [[[86.0, 19.0], [239.0, 18.0], [239.0, 35.0], [86.0, 36.0]], ('Reg/Gst Number:201128706C', 0.922884464263916)], [[[47.0, 61.0], [100.0, 61.0], [100.0, 75.0], [47.0, 75.0]], ('Slip', 0.8350544571876526)], [[[98.0, 62.0], [210.0, 62.0], [210.0, 76.0], [98.0, 76.0]], ('0000000T02000001977', 0.9834815859794617)], [[[49.0, 76.0], [119.0, 76.0], [119.0, 90.0], [49.0, 90.0]], ('StaffPol', 0.9359220266342163)], [[[191.0, 77.0], [290.0, 77.0], [290.0, 91.0], [191.0, 91.0]], ('Trans10106637', 0.984430730342865)], [[[49.0, 88.0], [216.0, 89.0], [215.0, 106.0], [49.0, 105.0]], ('Date11/05/12 9:05:39 PH', 0.9163345694541931)], [[[52.0, 116.0], [118.0, 116.0], [118.0, 132.0], [52.0, 132.0]], ('Table:10', 0.9283469915390015)], [[[75.0, 144.0], [132.0, 144.0], [132.0, 158.0], [75.0, 158.0]], ('COPYXX', 0.7920923233032227)], [[[53.0, 170.0], [116.0, 172.0], [115.0, 186.0], [52.0, 184.0]], ('Descr iption', 0.9329683780670166)], [[[222.0, 173.0], [258.0, 173.0], [258.0, 188.0], [222.0, 188.0]], ('Amount', 0.9780423641204834)], [[[53.0, 197.0], [122.0, 199.0], [121.0, 213.0], [52.0, 210.0]], ('PANNA BOTTLE', 0.9148743748664856)], [[[231.0, 199.0], [258.0, 199.0], [258.0, 215.0], [231.0, 215.0]], ('9.00', 0.9962043166160583)], [[[227.0, 213.0], [258.0, 213.0], [258.0, 227.0], [227.0, 227.0]], ('16.00', 0.9892339706420898)], [[[54.0, 225.0], [131.0, 225.0], [131.0, 239.0], [54.0, 239.0]], ('BIKINI SERVING', 0.9619235992431641)], [[[227.0, 226.0], [258.0, 226.0], [258.0, 241.0], [227.0, 241.0]], ('18.00', 0.9869931936264038)], [[[53.0, 240.0], [183.0, 240.0], [183.0, 253.0], [53.0, 253.0]], ('SUCKLING PIG TAPA SER', 0.9378103613853455)], [[[227.0, 240.0], [259.0, 240.0], [259.0, 255.0], [227.0, 255.0]], ('18.00', 0.9957798719406128)], [[[54.0, 253.0], [184.0, 253.0], [184.0, 266.0], [54.0, 266.0]], ('TASHANIAN TXULETA 2 SER', 0.8834927678108215)], [[[223.0, 254.0], [259.0, 254.0], [259.0, 268.0], [223.0, 268.0]], ('100.00', 0.9958097338676453)], [[[50.0, 267.0], [169.0, 268.0], [169.0, 282.0], [50.0, 281.0]], ('HASHED POTATO SERVING', 0.9338740110397339)], [[[228.0, 268.0], [259.0, 268.0], [259.0, 283.0], [228.0, 283.0]], ('10.00', 0.9943544268608093)], [[[52.0, 280.0], [154.0, 281.0], [154.0, 295.0], [51.0, 294.0]], ('AUBERGINES SERVING', 0.9810730814933777)], [[[228.0, 281.0], [259.0, 281.0], [259.0, 296.0], [228.0, 296.0]], ('12.00', 0.9912017583847046)], [[[52.0, 292.0], [179.0, 293.0], [179.0, 307.0], [52.0, 305.0]], ('PASIANS FAVOURITE 40 HL', 0.9300541877746582)], [[[227.0, 294.0], [259.0, 294.0], [259.0, 307.0], [227.0, 307.0]], ('21.00', 0.9922128915786743)], [[[52.0, 304.0], [165.0, 306.0], [165.0, 319.0], [52.0, 318.0]], ('STELLA ARTOIS BOTTLE', 0.9649890065193176)], [[[228.0, 306.0], [259.0, 306.0], [259.0, 321.0], [228.0, 321.0]], ('18.00', 0.9970225095748901)], [[[52.0, 318.0], [186.0, 319.0], [186.0, 333.0], [52.0, 332.0]], ('WARM ALMOND TART SERVING', 0.9416822791099548)], [[[228.0, 319.0], [258.0, 319.0], [258.0, 335.0], [228.0, 335.0]], ('12.00', 0.993084728717804)], [[[54.0, 331.0], [137.0, 332.0], [137.0, 346.0], [53.0, 345.0]], ('TORRIJA SERVING', 0.9602870345115662)], [[[228.0, 333.0], [259.0, 333.0], [259.0, 347.0], [228.0, 347.0]], ('12.00', 0.9789975881576538)]]	{"store_name": "", "store_addr": "Singapore049327", "telephone": "", "date": "11/05/12", "time": "9:05:39PM", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PANNABOTTLE", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SCRAMBLEDEGGSCHORISER", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BIKINISERVING", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SUCKLINGPIG(TAPA)SERV", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TASMANIANTXULETA(2SER", "item_value": "100.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MASHEDPOTATOSERVING", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AUBERGINESSERVING", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PASIANSFAVOURITE40ML", "item_value": "21.00", "item_quantity": "1"}, {"item_key": "", "item_name": "STELLAARTOISBOTTLE", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WARMALMONDTARTSERVING", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TORRIJASERVING", "item_value": "12.00", "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	[[[[214.0, 15.0], [231.0, 15.0], [231.0, 27.0], [214.0, 27.0]], ('27', 0.9972518682479858)], [[[189.0, 26.0], [253.0, 23.0], [253.0, 37.0], [189.0, 40.0]], ('KEBAB HOUSE', 0.9134675860404968)], [[[164.0, 37.0], [277.0, 31.0], [278.0, 49.0], [165.0, 54.0]], ('Shoo D-E Ho11ywood Rd', 0.8524400591850281)], [[[192.0, 58.0], [257.0, 56.0], [257.0, 70.0], [192.0, 72.0]], ('T127952727', 0.9223216772079468)], [[[199.0, 49.0], [241.0, 47.0], [241.0, 58.0], [199.0, 60.0]], ('Central', 0.9619033932685852)], [[[215.0, 79.0], [250.0, 79.0], [250.0, 103.0], [215.0, 103.0]], ('150', 0.999371349811554)], [[[150.0, 113.0], [294.0, 105.0], [295.0, 123.0], [151.0, 130.0]], ('Please Wait For Your Order', 0.9413741230964661)], [[[116.0, 136.0], [163.0, 139.0], [162.0, 154.0], [115.0, 151.0]], ('Slip No', 0.8611046075820923)], [[[180.0, 137.0], [254.0, 134.0], [254.0, 148.0], [180.0, 152.0]], ('1130321-0250', 0.9841811060905457)], [[[116.0, 152.0], [160.0, 152.0], [160.0, 166.0], [116.0, 166.0]], ('Cashter', 0.909112811088562)], [[[181.0, 151.0], [230.0, 148.0], [230.0, 163.0], [181.0, 165.0]], (':shibant', 0.8993402719497681)], [[[117.0, 166.0], [143.0, 166.0], [143.0, 178.0], [117.0, 178.0]], ('Date', 0.9970903992652893)], [[[182.0, 164.0], [294.0, 155.0], [295.0, 170.0], [183.0, 178.0]], ('21/03/2013 23:39:54', 0.9483680725097656)], [[[322.0, 179.0], [351.0, 177.0], [352.0, 193.0], [323.0, 196.0]], ('50.0', 0.9940587878227234)], [[[128.0, 193.0], [135.0, 193.0], [135.0, 204.0], [128.0, 204.0]], ('1', 0.8131173253059387)], [[[180.0, 190.0], [285.0, 182.0], [286.0, 199.0], [181.0, 207.0]], ('Chicken Doner Ro11', 0.9015087485313416)], [[[183.0, 203.0], [219.0, 203.0], [219.0, 218.0], [183.0, 218.0]], ('"Spicy', 0.8741400241851807)], [[[330.0, 221.0], [359.0, 221.0], [359.0, 237.0], [330.0, 237.0]], ('50.0', 0.9962267875671387)], [[[113.0, 235.0], [165.0, 234.0], [165.0, 249.0], [113.0, 250.0]], ('SUBTOTAL', 0.9959491491317749)], [[[315.0, 250.0], [369.0, 248.0], [370.0, 266.0], [316.0, 269.0]], ('50.0', 0.9973030686378479)], [[[114.0, 265.0], [147.0, 265.0], [147.0, 281.0], [114.0, 281.0]], ('TOTAL', 0.9987276792526245)], [[[338.0, 283.0], [369.0, 280.0], [370.0, 297.0], [339.0, 299.0]], ('50.0', 0.9948766827583313)], [[[112.0, 298.0], [142.0, 298.0], [142.0, 314.0], [112.0, 314.0]], ('Cash', 0.9957784414291382)], [[[209.0, 324.0], [270.0, 319.0], [271.0, 337.0], [210.0, 342.0]], ('Thank You', 0.9701175689697266)]]	{"store_name": "KEBABHOUSE", "store_addr": "ShopD-EHollywoodRd Central", "telephone": "27952727", "date": ":21/03/2013", "time": "23:39:54", "subtotal": "50.0", "tax": "", "total": "50.0", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ChickenDonerRoll", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Spicy", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "50.0", "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	[[[[177.0, 177.0], [427.0, 163.0], [429.0, 184.0], [179.0, 198.0]], ('6051 Blue Bonnet Blvd', 0.8943049311637878)], [[[176.0, 201.0], [426.0, 188.0], [428.0, 209.0], [178.0, 222.0]], ('Baton Rouge,LA 70809', 0.9131397008895874)], [[[374.0, 238.0], [556.0, 230.0], [558.0, 254.0], [375.0, 262.0]], ('Check#64327', 0.9688600897789001)], [[[87.0, 283.0], [251.0, 265.0], [254.0, 290.0], [90.0, 308.0]], ('Table 47', 0.9135461449623108)], [[[81.0, 308.0], [169.0, 299.0], [171.0, 321.0], [84.0, 330.0]], ('Loveli N', 0.7574641704559326)], [[[484.0, 311.0], [559.0, 308.0], [560.0, 335.0], [485.0, 338.0]], ('Gst2', 0.9847285151481628)], [[[79.0, 328.0], [288.0, 315.0], [289.0, 339.0], [81.0, 351.0]], ('21:36:1403/24/2017', 0.9610536098480225)], [[[238.0, 392.0], [357.0, 392.0], [357.0, 414.0], [238.0, 414.0]], ('Guest No.1', 0.9130469560623169)], [[[93.0, 421.0], [370.0, 421.0], [370.0, 442.0], [93.0, 442.0]], ('1 Grand Patron Margarita', 0.9466323852539062)], [[[484.0, 417.0], [554.0, 417.0], [554.0, 443.0], [484.0, 443.0]], ('10.79', 0.9941312670707703)], [[[91.0, 444.0], [394.0, 446.0], [394.0, 466.0], [90.0, 463.0]], ('1Lobsterfest Fizz + Glass', 0.9417117834091187)], [[[495.0, 445.0], [553.0, 445.0], [553.0, 468.0], [495.0, 468.0]], ('9.49', 0.9973527193069458)], [[[89.0, 468.0], [296.0, 470.0], [296.0, 491.0], [88.0, 488.0]], ('1 Cy0 2 Selections', 0.8788475394248962)], [[[483.0, 470.0], [552.0, 470.0], [552.0, 496.0], [483.0, 496.0]], ('19.49', 0.996888279914856)], [[[130.0, 493.0], [416.0, 497.0], [415.0, 518.0], [130.0, 513.0]], ('Seafood Stuffed Flounder', 0.9495012164115906)], [[[128.0, 516.0], [368.0, 523.0], [367.0, 545.0], [128.0, 538.0]], ('Jumbo Cocorut Shrimp', 0.9382266998291016)], [[[125.0, 543.0], [330.0, 546.0], [330.0, 568.0], [125.0, 564.0]], ('LOBSTER MASHED-LC', 0.9720417261123657)], [[[492.0, 549.0], [551.0, 549.0], [551.0, 575.0], [492.0, 575.0]], ('3.99', 0.9970852136611938)], [[[229.0, 594.0], [356.0, 596.0], [355.0, 621.0], [229.0, 619.0]], ('Guest No.2', 0.945279598236084)], [[[76.0, 616.0], [366.0, 626.0], [365.0, 648.0], [75.0, 638.0]], ('1 Grand Patron Margarita', 0.9411396980285645)], [[[479.0, 625.0], [548.0, 627.0], [547.0, 652.0], [478.0, 650.0]], ('10.79', 0.9958799481391907)], [[[75.0, 642.0], [252.0, 648.0], [251.0, 670.0], [74.0, 664.0]], ('1 Mango Mai Tai', 0.9277511835098267)], [[[489.0, 653.0], [545.0, 653.0], [545.0, 676.0], [489.0, 676.0]], ('6.99', 0.9981181621551514)], [[[72.0, 666.0], [391.0, 675.0], [390.0, 700.0], [71.0, 691.0]], ('1 Lobsterfest Surf + Strip', 0.942201554775238)], [[[477.0, 678.0], [544.0, 678.0], [544.0, 700.0], [477.0, 700.0]], ('33.98', 0.9958170056343079)], [[[70.0, 691.0], [205.0, 698.0], [204.0, 723.0], [69.0, 716.0]], ('1 Gumbo Cup', 0.8964592218399048)], [[[488.0, 702.0], [542.0, 702.0], [542.0, 725.0], [488.0, 725.0]], ('2.49', 0.9960510730743408)], [[[50.0, 844.0], [65.0, 844.0], [65.0, 856.0], [50.0, 856.0]], ('X', 0.627933919429779)], [[[83.0, 841.0], [436.0, 837.0], [436.0, 858.0], [83.0, 862.0]], ('We value your opinion. Please', 0.9281247854232788)], [[[86.0, 864.0], [387.0, 859.0], [387.0, 877.0], [86.0, 881.0]], ('tell us about your dining', 0.8943885564804077)], [[[87.0, 883.0], [409.0, 876.0], [409.0, 894.0], [88.0, 901.0]], ('experience by completing an', 0.9396584630012512)], [[[90.0, 902.0], [442.0, 893.0], [442.0, 910.0], [91.0, 920.0]], ('online survey wi thin 7 clays of', 0.9231630563735962)], [[[61.0, 924.0], [69.0, 924.0], [69.0, 934.0], [61.0, 934.0]], ('K', 0.8258407711982727)], [[[91.0, 921.0], [409.0, 911.0], [409.0, 929.0], [92.0, 939.0]], ('your visit.You could win a', 0.8991555571556091)], [[[95.0, 938.0], [439.0, 926.0], [439.0, 944.0], [95.0, 955.0]], ('$1,000 Grand Pr1ze or 1 of 100', 0.8738762140274048)], [[[68.0, 960.0], [75.0, 960.0], [75.0, 970.0], [68.0, 970.0]], ('K', 0.9188125729560852)], [[[96.0, 952.0], [428.0, 944.0], [428.0, 964.0], [96.0, 973.0]], ('$50 prizes.Winners are drawn', 0.9073658585548401)], [[[69.0, 976.0], [78.0, 976.0], [78.0, 988.0], [69.0, 988.0]], ('K', 0.688165009021759)], [[[99.0, 972.0], [203.0, 969.0], [204.0, 986.0], [99.0, 990.0]], ('monthly!!', 0.9282127022743225)]]	{"store_name": "REDLOBSTER6368", "store_addr": "6051BlueBonnetBlvd BatonRouge,LA70809", "telephone": "", "date": "03/24/2017", "time": "21:36:14", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "GrandPatronMargarita", "item_value": "10.79", "item_quantity": "1"}, {"item_key": "", "item_name": "LobsterfestFizz+Glass", "item_value": "9.49", "item_quantity": "1"}, {"item_key": "", "item_name": "CYO2Selections", "item_value": "19.49", "item_quantity": "1"}, {"item_key": "", "item_name": "SeafoodStuffedFlounder", "item_value": "3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "JumboCoconutShrimp", "item_value": "10.79", "item_quantity": "1"}, {"item_key": "", "item_name": "LOBSTERMASHED-LC", "item_value": "6.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GrandPatronMargarita", "item_value": "33.98", "item_quantity": "1"}, {"item_key": "", "item_name": "MangoMaiTai", "item_value": "2.49", "item_quantity": "1"}, {"item_key": "", "item_name": "LobsterfestSurf+Strip", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "GumboCup", "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	[[[[62.0, 51.0], [206.0, 51.0], [206.0, 65.0], [62.0, 65.0]], ('CANVAS cafe &bakery', 0.9580349326133728)], [[[34.0, 77.0], [92.0, 76.0], [92.0, 87.0], [34.0, 88.0]], ('Ordor #19-377', 0.8485012054443359)], [[[145.0, 75.0], [233.0, 74.0], [233.0, 85.0], [146.0, 86.0]], ('NoV15.2016.7:46AM', 0.8401939272880554)], [[[35.0, 89.0], [54.0, 89.0], [54.0, 100.0], [35.0, 100.0]], ('Salo', 0.9028342366218567)], [[[159.0, 87.0], [234.0, 87.0], [234.0, 97.0], [159.0, 97.0]], ('Served by Christine', 0.9412946105003357)], [[[34.0, 105.0], [171.0, 102.0], [171.0, 112.0], [34.0, 115.0]], ('Transaction#1309631911151617377', 0.940017580986023)], [[[35.0, 129.0], [82.0, 126.0], [83.0, 140.0], [35.0, 143.0]], ('1xT8L2', 0.8241384625434875)], [[[209.0, 128.0], [233.0, 128.0], [233.0, 139.0], [209.0, 139.0]], ("00'0", 0.8560035824775696)], [[[37.0, 144.0], [199.0, 144.0], [199.0, 154.0], [37.0, 154.0]], ('1x OMELET MYO GritsSourdough', 0.894006609916687)], [[[209.0, 142.0], [240.0, 142.0], [240.0, 153.0], [209.0, 153.0]], ('8.00', 0.9708746671676636)], [[[33.0, 167.0], [91.0, 167.0], [91.0, 178.0], [33.0, 178.0]], ('Add Pit Ham', 0.9585949182510376)], [[[214.0, 164.0], [238.0, 164.0], [238.0, 176.0], [214.0, 176.0]], ('2.00', 0.9943094253540039)], [[[36.0, 182.0], [115.0, 182.0], [115.0, 193.0], [36.0, 193.0]], ('1xPANCAKES2', 0.9660428762435913)], [[[212.0, 180.0], [245.0, 180.0], [245.0, 191.0], [212.0, 191.0]], ('5.00T', 0.9327704310417175)], [[[32.0, 208.0], [72.0, 208.0], [72.0, 219.0], [32.0, 219.0]], ('Subtotal', 0.990105152130127)], [[[210.0, 204.0], [242.0, 204.0], [242.0, 218.0], [210.0, 218.0]], ('13.00', 0.9932817220687866)], [[[31.0, 219.0], [51.0, 222.0], [49.0, 233.0], [29.0, 230.0]], ('Tax', 0.9918516278266907)], [[[216.0, 219.0], [242.0, 219.0], [242.0, 231.0], [216.0, 231.0]], ('0.78', 0.990436315536499)], [[[31.0, 237.0], [57.0, 237.0], [57.0, 249.0], [31.0, 249.0]], ('Total', 0.9968396425247192)], [[[212.0, 232.0], [244.0, 234.0], [243.0, 249.0], [210.0, 247.0]], ('13.78', 0.9933374524116516)], [[[30.0, 263.0], [57.0, 263.0], [57.0, 275.0], [30.0, 275.0]], ('Cash', 0.993898868560791)], [[[215.0, 262.0], [245.0, 262.0], [245.0, 275.0], [215.0, 275.0]], ('14.00', 0.9967470169067383)], [[[27.0, 278.0], [69.0, 281.0], [68.0, 295.0], [26.0, 292.0]], ('Change', 0.974132239818573)], [[[219.0, 279.0], [245.0, 279.0], [245.0, 291.0], [219.0, 291.0]], ('0.22', 0.9930713176727295)], [[[93.0, 304.0], [178.0, 305.0], [178.0, 316.0], [93.0, 315.0]], ('724 Cheroke Strset', 0.8500561714172363)], [[[96.0, 318.0], [177.0, 318.0], [177.0, 330.0], [96.0, 330.0]], ('Maristta.GA 30060', 0.8793232440948486)], [[[105.0, 328.0], [166.0, 331.0], [165.0, 345.0], [104.0, 342.0]], ('United Statos', 0.8906995058059692)], [[[107.0, 345.0], [166.0, 345.0], [166.0, 356.0], [107.0, 356.0]], ('678.213.2268', 0.9542667269706726)], [[[80.0, 360.0], [193.0, 360.0], [193.0, 370.0], [80.0, 370.0]], ('[email protected]', 0.9791269302368164)], [[[88.0, 384.0], [186.0, 384.0], [186.0, 394.0], [88.0, 394.0]], ('www.carvasfoods.com', 0.9448861479759216)], [[[58.0, 408.0], [213.0, 410.0], [213.0, 423.0], [58.0, 421.0]], ('Passonate abou the food we serve', 0.9162551164627075)], [[[74.0, 419.0], [202.0, 420.0], [201.0, 434.0], [74.0, 433.0]], ('and the peoplo wo serve t to', 0.8679489493370056)]]	{"store_name": "CANVAScafe&bakery", "store_addr": "UnitedStates Marietta,GA30060 724CherokeeStreet", "telephone": "678.213.2288", "date": "Nov15,2016,", "time": "7:46AM", "subtotal": "13.00", "tax": "0.78", "total": "13.78", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PANCAKES2", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AddPitHam", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Toast)", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OMELETMYO(Grits,Sourdough", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TBL2", "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	[[[[293.0, 0.0], [335.0, 0.0], [335.0, 10.0], [293.0, 7.0]], ('2/MUse', 0.7777822017669678)], [[[102.0, 24.0], [231.0, 22.0], [232.0, 36.0], [102.0, 38.0]], ('COMPTOIR DU LOUURE', 0.934863805770874)], [[[121.0, 36.0], [203.0, 36.0], [203.0, 49.0], [121.0, 49.0]], ('ELIOR MUSEES EURL', 0.9440237879753113)], [[[292.0, 33.0], [337.0, 36.0], [337.0, 51.0], [291.0, 47.0]], ('O/MUSE', 0.8777782320976257)], [[[91.0, 48.0], [231.0, 48.0], [231.0, 61.0], [91.0, 61.0]], ('Les restaurants du assee d Losure', 0.8260157704353333)], [[[88.0, 59.0], [233.0, 59.0], [233.0, 73.0], [88.0, 73.0]], ('ase da Louvre 75058 Paris Cedex 01', 0.8487414121627808)], [[[292.0, 55.0], [337.0, 57.0], [337.0, 72.0], [292.0, 69.0]], ('-1/MUS', 0.730930745601654)], [[[71.0, 70.0], [244.0, 72.0], [244.0, 86.0], [71.0, 84.0]], ('RCS HANTERRE 319 640 587 TUA FR46319640587', 0.8780032396316528)], [[[293.0, 73.0], [337.0, 76.0], [337.0, 90.0], [293.0, 87.0]], ('-2/ENTR', 0.9409886598587036)], [[[73.0, 92.0], [120.0, 92.0], [120.0, 106.0], [73.0, 106.0]], ('6240HUGO', 0.9690254330635071)], [[[312.0, 88.0], [337.0, 91.0], [337.0, 103.0], [311.0, 100.0]], ('AMEN', 0.9927764534950256)], [[[84.0, 115.0], [137.0, 115.0], [137.0, 126.0], [84.0, 126.0]], ('2 MENU PAUL', 0.9153093099594116)], [[[192.0, 116.0], [217.0, 116.0], [217.0, 128.0], [192.0, 128.0]], ('10.40', 0.9898972511291504)], [[[83.0, 126.0], [172.0, 126.0], [172.0, 140.0], [83.0, 140.0]], ('1 PRUOT JAMBON CRU', 0.9001194834709167)], [[[235.0, 117.0], [262.0, 117.0], [262.0, 130.0], [235.0, 130.0]], ('20.80', 0.9926919937133789)], [[[84.0, 140.0], [152.0, 140.0], [152.0, 151.0], [84.0, 151.0]], ('1 TOMATE MOZZA', 0.9161151051521301)], [[[82.0, 151.0], [177.0, 150.0], [177.0, 164.0], [82.0, 165.0]], ('1 ANGLAISE ABRICOTS', 0.9259696006774902)], [[[84.0, 164.0], [189.0, 164.0], [189.0, 177.0], [84.0, 177.0]], ('1 ECLAIR CHOCOLAT PAUL', 0.9460973143577576)], [[[83.0, 176.0], [181.0, 176.0], [181.0, 189.0], [83.0, 189.0]], ('2 BADOIT VERTE 5OPET', 0.8519476652145386)], [[[68.0, 198.0], [134.0, 198.0], [134.0, 212.0], [68.0, 212.0]], ('TOTAL', 0.9971956014633179)], [[[203.0, 195.0], [250.0, 195.0], [250.0, 213.0], [203.0, 213.0]], ('20.8', 0.9464098811149597)], [[[243.0, 196.0], [270.0, 196.0], [270.0, 211.0], [243.0, 211.0]], ('80', 0.9948932528495789)], [[[159.0, 231.0], [173.0, 231.0], [173.0, 244.0], [159.0, 244.0]], ('HT', 0.9863675832748413)], [[[200.0, 227.0], [220.0, 230.0], [219.0, 246.0], [198.0, 244.0]], ('TUA', 0.9767162799835205)], [[[249.0, 230.0], [265.0, 230.0], [265.0, 243.0], [249.0, 243.0]], ('TIC', 0.7073702216148376)], [[[63.0, 244.0], [112.0, 242.0], [113.0, 257.0], [64.0, 259.0]], ('TUA5.507', 0.8876438736915588)], [[[145.0, 243.0], [174.0, 243.0], [174.0, 257.0], [145.0, 257.0]], ('10.26', 0.9856356382369995)], [[[195.0, 242.0], [220.0, 242.0], [220.0, 257.0], [195.0, 257.0]], ('0.56', 0.9285764694213867)], [[[239.0, 243.0], [266.0, 243.0], [266.0, 256.0], [239.0, 256.0]], ('10.82', 0.9921296238899231)], [[[65.0, 257.0], [127.0, 257.0], [127.0, 271.0], [65.0, 271.0]], ('TUA 10.00', 0.905731201171875)], [[[149.0, 256.0], [172.0, 256.0], [172.0, 268.0], [149.0, 268.0]], ('9.07', 0.9955300092697144)], [[[197.0, 256.0], [219.0, 256.0], [219.0, 268.0], [197.0, 268.0]], ('0.91', 0.9942032098770142)], [[[243.0, 255.0], [266.0, 255.0], [266.0, 267.0], [243.0, 267.0]], ('9.98', 0.9949610233306885)], [[[94.0, 281.0], [139.0, 281.0], [139.0, 295.0], [94.0, 295.0]], ('C8MANUEL', 0.8936651945114136)], [[[241.0, 280.0], [268.0, 280.0], [268.0, 293.0], [241.0, 293.0]], ('20.80', 0.9923698306083679)], [[[65.0, 303.0], [205.0, 301.0], [206.0, 314.0], [65.0, 316.0]], ('MERCREDI18-01-201714:13:20', 0.9371305704116821)], [[[211.0, 302.0], [270.0, 302.0], [270.0, 313.0], [211.0, 313.0]], ('AEMPORTER', 0.9681580066680908)], [[[65.0, 316.0], [264.0, 313.0], [264.0, 327.0], [65.0, 331.0]], ('Ce 19-Serv19-CAISSE11-NOTE 000051/1', 0.9160802364349365)], [[[103.0, 339.0], [231.0, 339.0], [231.0, 352.0], [103.0, 352.0]], ('Montants exprines en euros', 0.9548563361167908)], [[[88.0, 353.0], [236.0, 353.0], [236.0, 366.0], [88.0, 366.0]], ('Faites-noss part de vos renarques a', 0.9190356731414795)], [[[113.0, 366.0], [210.0, 365.0], [210.0, 378.0], [113.0, 379.0]], ('serviceclienteareas.com', 0.872427761554718)], [[[83.0, 379.0], [251.0, 378.0], [251.0, 392.0], [83.0, 393.0]], ('Merci de votre visite et au revoir', 0.9076224565505981)], [[[147.0, 390.0], [189.0, 394.0], [187.0, 408.0], [146.0, 404.0]], ('Areas', 0.9951761364936829)], [[[103.0, 407.0], [238.0, 407.0], [238.0, 421.0], [103.0, 421.0]], ('LE GOUT DU SERUICE', 0.9543891549110413)]]	{"store_name": "COMPTOIRDULOUVRE", "store_addr": "", "telephone": "", "date": "18-01-2017", "time": "14:13:20", "subtotal": "", "tax": "0.91 0.56", "total": "20.80 20.80", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BADOITVERTESOPET", "item_value": "20.80", "item_quantity": "1"}, {"item_key": "", "item_name": "ECLAIRCHOCOLATPAUL", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "ANGLAISEABRICOTS", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "TOMRTEMOZZA", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "PRVOTJAMBONCRU", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MENUPAUL", "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, 50.0], [219.0, 40.0], [221.0, 57.0], [98.0, 67.0]], ("Truluck's of Miam", 0.9150243401527405)], [[[65.0, 67.0], [250.0, 55.0], [251.0, 72.0], [66.0, 84.0]], ('Seafood SteakCrabhouse', 0.9680590033531189)], [[[83.0, 82.0], [236.0, 72.0], [237.0, 89.0], [84.0, 99.0]], ('777 Bricke11 Ave.#100', 0.924315869808197)], [[[100.0, 96.0], [206.0, 89.0], [207.0, 106.0], [101.0, 113.0]], ('MiamiFL 33131', 0.8428502678871155)], [[[114.0, 111.0], [200.0, 106.0], [200.0, 123.0], [114.0, 128.0]], ('305-579-0035', 0.9935564994812012)], [[[14.0, 145.0], [97.0, 145.0], [97.0, 162.0], [14.0, 162.0]], ('Server:Sean', 0.9324101805686951)], [[[233.0, 138.0], [314.0, 134.0], [314.0, 152.0], [234.0, 155.0]], ('07/23/2012', 0.9958874583244324)], [[[14.0, 162.0], [80.0, 162.0], [80.0, 176.0], [14.0, 176.0]], ('Table48/1', 0.9465848207473755)], [[[250.0, 153.0], [316.0, 150.0], [316.0, 169.0], [250.0, 171.0]], ('11:09PM', 0.945756733417511)], [[[11.0, 178.0], [74.0, 178.0], [74.0, 192.0], [11.0, 192.0]], ('Guests:2', 0.9668738842010498)], [[[273.0, 170.0], [316.0, 170.0], [316.0, 188.0], [273.0, 188.0]], ('70038', 0.9985039830207825)], [[[3.0, 209.0], [60.0, 209.0], [60.0, 223.0], [3.0, 223.0]], ('Crabcake', 0.994514524936676)], [[[275.0, 205.0], [319.0, 205.0], [319.0, 223.0], [275.0, 223.0]], ('16.00', 0.9974498748779297)], [[[0.0, 224.0], [59.0, 224.0], [59.0, 241.0], [0.0, 241.0]], ('Sea Bass', 0.9506288170814514)], [[[275.0, 223.0], [320.0, 223.0], [320.0, 241.0], [275.0, 241.0]], ('31.00', 0.9962700009346008)], [[[0.0, 240.0], [50.0, 242.0], [49.0, 257.0], [0.0, 255.0]], ('Berries', 0.9775130152702332)], [[[282.0, 241.0], [320.0, 241.0], [320.0, 260.0], [282.0, 260.0]], ('8.95', 0.9964541792869568)], [[[0.0, 256.0], [59.0, 258.0], [58.0, 276.0], [0.0, 274.0]], ('Cioppino', 0.9898808598518372)], [[[274.0, 258.0], [320.0, 260.0], [319.0, 280.0], [274.0, 277.0]], ('27.00', 0.9956420063972473)], [[[1.0, 289.0], [59.0, 293.0], [58.0, 311.0], [0.0, 307.0]], ('Subtotal', 0.9929572343826294)], [[[276.0, 298.0], [320.0, 298.0], [320.0, 317.0], [276.0, 317.0]], ('82.95', 0.9784671664237976)], [[[1.0, 309.0], [25.0, 309.0], [25.0, 326.0], [1.0, 326.0]], ('Tax', 0.9956626296043396)], [[[282.0, 318.0], [321.0, 318.0], [321.0, 338.0], [282.0, 338.0]], ('6.64', 0.9740803241729736)], [[[0.0, 340.0], [37.0, 344.0], [35.0, 364.0], [0.0, 360.0]], ('Total', 0.9957502484321594)], [[[276.0, 354.0], [322.0, 357.0], [321.0, 379.0], [274.0, 376.0]], ('89.59', 0.9941956400871277)], [[[0.0, 377.0], [158.0, 390.0], [157.0, 410.0], [0.0, 397.0]], ('Balance Due', 0.9572786092758179)], [[[235.0, 393.0], [320.0, 398.0], [319.0, 419.0], [234.0, 415.0]], ('6968', 0.8976842761039734)], [[[103.0, 423.0], [199.0, 431.0], [197.0, 449.0], [101.0, 443.0]], ('305-579-0035', 0.9922926425933838)]]	{"store_name": "Truluck'sofMiami SeafoodSteakCrabhouse", "store_addr": "Miami,FL33131 777BrickellAve.#100", "telephone": "305-579-0035 305-579-0035", "date": "07/23/2012", "time": "11:09PM", "subtotal": "82.95", "tax": "6.64", "total": "89.59", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Crabcake", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SeaBass", "item_value": "31.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Berries", "item_value": "8.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Cioppino", "item_value": "27.00", "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, 116.0], [206.0, 111.0], [207.0, 125.0], [107.0, 130.0]], ('PINNACLES', 0.9966028928756714)], [[[103.0, 129.0], [210.0, 125.0], [210.0, 139.0], [103.0, 143.0]], ('RESTAURANT', 0.9971122741699219)], [[[129.0, 142.0], [181.0, 142.0], [181.0, 156.0], [129.0, 156.0]], ('SEAHOUSES', 0.9889417290687561)], [[[114.0, 155.0], [202.0, 153.0], [203.0, 167.0], [114.0, 169.0]], ('TEL01665 720708', 0.9591144323348999)], [[[131.0, 193.0], [187.0, 193.0], [187.0, 207.0], [131.0, 207.0]], ('14/03/2015', 0.9979338645935059)], [[[250.0, 186.0], [272.0, 186.0], [272.0, 201.0], [250.0, 201.0]], ('SAT', 0.9982211589813232)], [[[48.0, 196.0], [73.0, 196.0], [73.0, 208.0], [48.0, 208.0]], ('DATE', 0.9784486293792725)], [[[83.0, 207.0], [159.0, 207.0], [159.0, 221.0], [83.0, 221.0]], ('COD/HADD CHIPS', 0.969304084777832)], [[[240.0, 200.0], [273.0, 200.0], [273.0, 215.0], [240.0, 215.0]], ('6.95', 0.9942089319229126)], [[[81.0, 220.0], [159.0, 219.0], [159.0, 233.0], [81.0, 234.0]], ('COD/HADD CHIPS', 0.9699404835700989)], [[[241.0, 215.0], [274.0, 215.0], [274.0, 229.0], [241.0, 229.0]], ('6.95', 0.9932416677474976)], [[[81.0, 234.0], [134.0, 234.0], [134.0, 248.0], [81.0, 248.0]], ('TOTAL', 0.9982050061225891)], [[[202.0, 231.0], [273.0, 228.0], [274.0, 242.0], [203.0, 245.0]], ('13.90', 0.9980872273445129)], [[[81.0, 247.0], [129.0, 247.0], [129.0, 261.0], [81.0, 261.0]], ('CASH', 0.996813178062439)], [[[202.0, 245.0], [274.0, 242.0], [275.0, 256.0], [203.0, 259.0]], ('20.00', 0.991473376750946)], [[[80.0, 262.0], [148.0, 260.0], [148.0, 274.0], [80.0, 276.0]], ('CHANGE', 0.9981278777122498)], [[[214.0, 258.0], [275.0, 256.0], [276.0, 271.0], [214.0, 273.0]], ('6.10', 0.9968063831329346)], [[[45.0, 275.0], [201.0, 273.0], [201.0, 287.0], [45.0, 289.0]], ('NO.000041 REG01 1 EMPLOYEE', 0.9119974970817566)], [[[213.0, 273.0], [277.0, 271.0], [278.0, 285.0], [213.0, 287.0]], ('TIME17:00', 0.9609676003456116)], [[[66.0, 317.0], [254.0, 318.0], [253.0, 333.0], [66.0, 331.0]], ('PLEASE CALL AGAIN', 0.9594962000846863)]]	{"store_name": "PINNACLES RESTAURANT", "store_addr": "", "telephone": "01665720708", "date": "14/03/2015", "time": "17:00", "subtotal": "", "tax": "", "total": "\u00a313.90", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "COD/HADDCHIPS", "item_value": "\u00a36.95", "item_quantity": "1"}, {"item_key": "", "item_name": "COD/HADDCHIPS", "item_value": "\u00a36.95", "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	[[[[118.0, 35.0], [223.0, 41.0], [221.0, 78.0], [116.0, 71.0]], ('dOHI', 0.8154687881469727)], [[[112.0, 101.0], [217.0, 105.0], [217.0, 118.0], [112.0, 114.0]], ('IHOP2028', 0.9513134956359863)], [[[110.0, 112.0], [223.0, 116.0], [223.0, 130.0], [110.0, 126.0]], ('401 East California Ave', 0.9130033254623413)], [[[123.0, 124.0], [216.0, 128.0], [215.0, 141.0], [122.0, 137.0]], ('Oklahoa.0K73104', 0.8006553649902344)], [[[114.0, 136.0], [217.0, 138.0], [217.0, 152.0], [114.0, 150.0]], ('Phone405231-4467', 0.9393010139465332)], [[[74.0, 157.0], [133.0, 159.0], [133.0, 173.0], [74.0, 171.0]], ('267ZACHARY', 0.9880599975585938)], [[[71.0, 182.0], [112.0, 182.0], [112.0, 196.0], [71.0, 196.0]], ('Tb193/1', 0.9259348511695862)], [[[146.0, 182.0], [191.0, 182.0], [191.0, 196.0], [146.0, 196.0]], ('Chk6841', 0.79842609167099)], [[[128.0, 193.0], [210.0, 194.0], [210.0, 208.0], [128.0, 207.0]], ('NoV151403:26AM', 0.8602789044380188)], [[[233.0, 184.0], [267.0, 184.0], [267.0, 198.0], [233.0, 198.0]], ('t2', 0.9398674964904785)], [[[80.0, 215.0], [138.0, 217.0], [138.0, 231.0], [79.0, 229.0]], ('1 Pan Conbo', 0.9049525856971741)], [[[79.0, 227.0], [142.0, 230.0], [141.0, 244.0], [78.0, 241.0]], ('1 CFS/2 Eggs', 0.8660848140716553)], [[[225.0, 218.0], [255.0, 218.0], [255.0, 233.0], [225.0, 233.0]], ('58.49', 0.8109296560287476)], [[[225.0, 230.0], [255.0, 230.0], [255.0, 244.0], [225.0, 244.0]], ('666$', 0.7231438159942627)], [[[226.0, 242.0], [255.0, 242.0], [255.0, 256.0], [226.0, 256.0]], ('12.29', 0.904607892036438)], [[[79.0, 255.0], [121.0, 255.0], [121.0, 266.0], [79.0, 266.0]], ('1 Coffee', 0.8461262583732605)], [[[225.0, 254.0], [255.0, 254.0], [255.0, 268.0], [225.0, 268.0]], ('$2.29', 0.7620599865913391)], [[[88.0, 267.0], [112.0, 267.0], [112.0, 279.0], [88.0, 279.0]], ('Cash', 0.9923152923583984)], [[[223.0, 268.0], [255.0, 268.0], [255.0, 279.0], [223.0, 279.0]], ('$20.00', 0.9908621907234192)], [[[87.0, 279.0], [111.0, 279.0], [111.0, 291.0], [87.0, 291.0]], ('Cash', 0.9926979541778564)], [[[223.0, 280.0], [255.0, 280.0], [255.0, 291.0], [223.0, 291.0]], ('$10.00', 0.9818158745765686)], [[[86.0, 303.0], [129.0, 303.0], [129.0, 317.0], [86.0, 317.0]], ('Subtotal', 0.9807244539260864)], [[[223.0, 305.0], [256.0, 305.0], [256.0, 316.0], [223.0, 316.0]], ('$23.06', 0.9748279452323914)], [[[226.0, 316.0], [257.0, 316.0], [257.0, 330.0], [226.0, 330.0]], ('$1.93', 0.9056953191757202)], [[[85.0, 329.0], [125.0, 329.0], [125.0, 344.0], [85.0, 344.0]], ('Payment', 0.9507232904434204)], [[[223.0, 329.0], [258.0, 329.0], [258.0, 344.0], [223.0, 344.0]], ('$24.99', 0.9756221175193787)], [[[85.0, 343.0], [141.0, 343.0], [141.0, 357.0], [85.0, 357.0]], ('Change Due', 0.9374743700027466)], [[[227.0, 343.0], [257.0, 343.0], [257.0, 357.0], [227.0, 357.0]], ('$5.01', 0.9935709834098816)], [[[121.0, 354.0], [212.0, 355.0], [211.0, 369.0], [121.0, 368.0]], ('267 Check Closed', 0.9258478283882141)], [[[125.0, 369.0], [212.0, 369.0], [212.0, 382.0], [125.0, 382.0]], ('NoV151403:51AM', 0.9241290092468262)]]	{"store_name": "IHOP#2028 IHOP", "store_addr": "Oklahoma,OK73104 401EastCalifomiaAve", "telephone": "(405)231-4457", "date": "Nov15'14 Nov15'14", "time": "03:51AM", "subtotal": "$23.06", "tax": "$1.93", "total": "$24.99", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Coffee", "item_value": "$8.49", "item_quantity": "1"}, {"item_key": "", "item_name": "Dacat", "item_value": "$8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CFS/2Eggs", "item_value": "$2.29", "item_quantity": "1"}, {"item_key": "", "item_name": "PanCombo", "item_value": "$2.29", "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	[[[[60.0, 76.0], [178.0, 85.0], [177.0, 101.0], [59.0, 92.0]], ('POPEYES EUCLID\\GREEN', 0.9475744366645813)], [[[108.0, 93.0], [158.0, 98.0], [156.0, 113.0], [106.0, 108.0]], ('383*8911', 0.961168110370636)], [[[107.0, 107.0], [137.0, 110.0], [135.0, 126.0], [105.0, 123.0]], ('2469', 0.9923754930496216)], [[[22.0, 130.0], [73.0, 134.0], [72.0, 148.0], [21.0, 144.0]], ('#061', 0.9792555570602417)], [[[8.0, 143.0], [100.0, 150.0], [99.0, 165.0], [7.0, 158.0]], ('1 BONELESSWING', 0.9474040269851685)], [[[166.0, 137.0], [214.0, 140.0], [213.0, 155.0], [165.0, 152.0]], ('DR-T', 0.985459566116333)], [[[8.0, 157.0], [75.0, 162.0], [74.0, 177.0], [7.0, 172.0]], ('1.SML RICE', 0.8768829107284546)], [[[178.0, 154.0], [208.0, 154.0], [208.0, 169.0], [178.0, 169.0]], ('5.00', 0.9794555306434631)], [[[6.0, 174.0], [69.0, 176.0], [69.0, 190.0], [6.0, 188.0]], ('1CPN37', 0.9899365901947021)], [[[179.0, 168.0], [207.0, 168.0], [207.0, 183.0], [179.0, 183.0]], ('661', 0.7143030166625977)], [[[6.0, 187.0], [100.0, 191.0], [99.0, 208.0], [6.0, 204.0]], ('1 ADD ON DRINK', 0.8932476043701172)], [[[176.0, 182.0], [208.0, 182.0], [208.0, 197.0], [176.0, 197.0]], ('-1.99', 0.9725043177604675)], [[[180.0, 194.0], [209.0, 197.0], [208.0, 212.0], [178.0, 210.0]], ('1.00', 0.9911720156669617)], [[[73.0, 218.0], [101.0, 222.0], [100.0, 239.0], [71.0, 236.0]], ('TXB2', 0.973638117313385)], [[[183.0, 225.0], [211.0, 225.0], [211.0, 241.0], [183.0, 241.0]], ('1.00', 0.9550234079360962)], [[[73.0, 251.0], [96.0, 254.0], [94.0, 270.0], [71.0, 267.0]], ('TAX', 0.9971668720245361)], [[[192.0, 252.0], [213.0, 256.0], [211.0, 272.0], [189.0, 269.0]], ('.08', 0.9661972522735596)], [[[72.0, 267.0], [100.0, 270.0], [99.0, 286.0], [71.0, 283.0]], ('TOTL', 0.9944621920585632)], [[[162.0, 268.0], [212.0, 270.0], [211.0, 287.0], [161.0, 285.0]], ('6.08', 0.9970135688781738)], [[[72.0, 285.0], [102.0, 285.0], [102.0, 301.0], [72.0, 301.0]], ('CASH', 0.9974538087844849)], [[[185.0, 286.0], [213.0, 286.0], [213.0, 301.0], [185.0, 301.0]], ('6.08', 0.9577150344848633)], [[[71.0, 302.0], [102.0, 302.0], [102.0, 318.0], [71.0, 318.0]], ('CHNG', 0.9972987174987793)], [[[195.0, 301.0], [215.0, 301.0], [215.0, 318.0], [195.0, 318.0]], ('.00', 0.9854798316955566)], [[[0.0, 336.0], [40.0, 336.0], [40.0, 355.0], [0.0, 355.0]], ('RODNEY', 0.9496228098869324)], [[[7.0, 356.0], [174.0, 350.0], [174.0, 366.0], [7.0, 372.0]], ('0790 12:31 #16JUL.0216', 0.9312116503715515)]]	{"store_name": "POPEYESEUCLTD\\GREEN", "store_addr": "", "telephone": "", "date": "JUL.02'16", "time": "12:31", "subtotal": "", "tax": ".08", "total": "6.08", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BONELESSWING", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SMLRICE", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ADDONDRINK", "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	[[[[37.0, 18.0], [87.0, 18.0], [87.0, 28.0], [37.0, 28.0]], ('3 Mara C', 0.8074016571044922)], [[[33.0, 41.0], [76.0, 41.0], [76.0, 52.0], [33.0, 52.0]], ('Cok4652', 0.8388632535934448)], [[[117.0, 42.0], [203.0, 35.0], [204.0, 47.0], [118.0, 55.0]], ('No0516.03:43PM', 0.8891897797584534)], [[[51.0, 63.0], [157.0, 64.0], [157.0, 78.0], [51.0, 77.0]], ('Drive Thru', 0.9720458984375)], [[[40.0, 76.0], [156.0, 76.0], [156.0, 89.0], [40.0, 89.0]], ('2 Veggie Burger 3.49', 0.9045776128768921)], [[[200.0, 74.0], [224.0, 74.0], [224.0, 86.0], [200.0, 86.0]], ("86'9.", 0.8314214944839478)], [[[43.0, 91.0], [118.0, 91.0], [118.0, 103.0], [43.0, 103.0]], ('1 Big K1ds Mea', 0.8565776944160461)], [[[200.0, 86.0], [226.0, 86.0], [226.0, 101.0], [200.0, 101.0]], ('4.89', 0.9764766097068787)], [[[62.0, 103.0], [148.0, 103.0], [148.0, 115.0], [62.0, 115.0]], ('Big Kid 6pc Nugg', 0.9321733713150024)], [[[236.0, 95.0], [248.0, 95.0], [248.0, 114.0], [236.0, 114.0]], ('FREE', 0.9862645864486694)], [[[62.0, 115.0], [108.0, 115.0], [108.0, 126.0], [62.0, 126.0]], ('Kd Eries', 0.8397915363311768)], [[[63.0, 128.0], [122.0, 128.0], [122.0, 139.0], [63.0, 139.0]], ('Apple Juice', 0.9455862641334534)], [[[62.0, 139.0], [108.0, 139.0], [108.0, 152.0], [62.0, 152.0]], ('KMTcy-B', 0.8617735505104065)], [[[45.0, 152.0], [98.0, 152.0], [98.0, 163.0], [45.0, 163.0]], ('1 SmFries', 0.8137308955192566)], [[[197.0, 146.0], [222.0, 146.0], [222.0, 161.0], [197.0, 161.0]], ('2.39', 0.9866029620170593)], [[[195.0, 156.0], [221.0, 156.0], [221.0, 171.0], [195.0, 171.0]], ('2.89', 0.9828338027000427)], [[[234.0, 147.0], [246.0, 148.0], [242.0, 199.0], [229.0, 197.0]], ('TURN ME OVER', 0.885845422744751)], [[[46.0, 164.0], [108.0, 164.0], [108.0, 175.0], [46.0, 175.0]], ('1 Md 0-Rings', 0.8537234663963318)], [[[56.0, 177.0], [79.0, 177.0], [79.0, 188.0], [56.0, 188.0]], ('Casn', 0.9882954955101013)], [[[191.0, 168.0], [220.0, 168.0], [220.0, 183.0], [191.0, 183.0]], ('20.25', 0.9828404188156128)], [[[192.0, 189.0], [219.0, 189.0], [219.0, 204.0], [192.0, 204.0]], ('17.15', 0.9356829524040222)], [[[55.0, 199.0], [104.0, 195.0], [105.0, 209.0], [56.0, 212.0]], ('Subtotal:', 0.962909460067749)], [[[194.0, 201.0], [217.0, 201.0], [217.0, 213.0], [194.0, 213.0]], ('1.03', 0.9799646735191345)], [[[58.0, 211.0], [80.0, 211.0], [80.0, 223.0], [58.0, 223.0]], ('Tax', 0.9825285077095032)], [[[191.0, 212.0], [217.0, 212.0], [217.0, 224.0], [191.0, 224.0]], ('18.18', 0.9844383001327515)], [[[60.0, 222.0], [91.0, 222.0], [91.0, 232.0], [60.0, 232.0]], ('Iotal:', 0.910079300403595)], [[[193.0, 221.0], [217.0, 221.0], [217.0, 235.0], [193.0, 235.0]], ('21', 0.7706968784332275)], [[[57.0, 232.0], [111.0, 229.0], [112.0, 243.0], [58.0, 245.0]], ('Change Due', 0.954624354839325)], [[[229.0, 228.0], [236.0, 228.0], [236.0, 241.0], [229.0, 241.0]], ('1054', 0.5037578344345093)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "Nov05'16", "time": "03:46PM", "subtotal": "17.15", "tax": "1.03", "total": "18.18", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MdO-Rings", "item_value": "6.98", "item_quantity": "1"}, {"item_key": "", "item_name": "SmFries", "item_value": "4.89", "item_quantity": "1"}, {"item_key": "", "item_name": "KMToy-B", "item_value": "2.39", "item_quantity": "1"}, {"item_key": "", "item_name": "AppleJuice", "item_value": "2.89", "item_quantity": "1"}, {"item_key": "", "item_name": "KdFries", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "BigKidSpcNugg", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "BigKidsMea", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "VeggieBurger#3.49", "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	[[[[32.0, 75.0], [110.0, 76.0], [109.0, 89.0], [32.0, 88.0]], ('EXPRESS PAY', 0.9561552405357361)], [[[46.0, 87.0], [97.0, 87.0], [97.0, 101.0], [46.0, 101.0]], ('WELCOME', 0.9209267497062683)], [[[4.0, 107.0], [137.0, 109.0], [136.0, 122.0], [4.0, 120.0]], ('DEALER9734435-ACZ', 0.9762592315673828)], [[[4.0, 118.0], [103.0, 120.0], [103.0, 133.0], [4.0, 132.0]], ('LESTERN & IRVI', 0.8738645911216736)], [[[6.0, 130.0], [102.0, 131.0], [102.0, 144.0], [6.0, 143.0]], ('4000 N KESTERN', 0.859524130821228)], [[[5.0, 143.0], [56.0, 143.0], [56.0, 153.0], [5.0, 153.0]], ('CHICAGO', 0.9943501353263855)], [[[87.0, 145.0], [102.0, 145.0], [102.0, 154.0], [87.0, 154.0]], ('TE', 0.9279873371124268)], [[[6.0, 163.0], [123.0, 163.0], [123.0, 177.0], [6.0, 177.0]], ('XXXXxxxxxxxX7269', 0.6935280561447144)], [[[3.0, 173.0], [77.0, 176.0], [76.0, 190.0], [3.0, 186.0]], ('CARDs726', 0.9506012797355652)], [[[4.0, 184.0], [45.0, 187.0], [44.0, 198.0], [4.0, 196.0]], ('DEBIT', 0.9118366241455078)], [[[4.0, 195.0], [136.0, 195.0], [136.0, 209.0], [4.0, 209.0]], ('FREDERICK K SHARI I', 0.8463659882545471)], [[[5.0, 206.0], [96.0, 208.0], [96.0, 222.0], [5.0, 219.0]], ('INVACZ7686', 0.9499766230583191)], [[[4.0, 228.0], [122.0, 227.0], [122.0, 241.0], [4.0, 242.0]], ('APPROVALACZ768', 0.9589558243751526)], [[[6.0, 220.0], [52.0, 220.0], [52.0, 229.0], [6.0, 229.0]], ('ALTHS', 0.8231794238090515)], [[[3.0, 240.0], [142.0, 240.0], [142.0, 254.0], [3.0, 254.0]], ('DATE02/05/11 16:54', 0.925670325756073)], [[[2.0, 259.0], [72.0, 261.0], [71.0, 275.0], [2.0, 273.0]], ('PUMP06', 0.9740724563598633)], [[[77.0, 261.0], [109.0, 261.0], [109.0, 275.0], [77.0, 275.0]], ('UNLD', 0.9925068616867065)], [[[4.0, 273.0], [59.0, 273.0], [59.0, 284.0], [4.0, 284.0]], ('GALLONS.', 0.965242862701416)], [[[105.0, 273.0], [142.0, 273.0], [142.0, 287.0], [105.0, 287.0]], ('1.002', 0.9730430841445923)], [[[4.0, 285.0], [66.0, 285.0], [66.0, 295.0], [4.0, 295.0]], ('PRICE/GAL', 0.968184769153595)], [[[92.0, 284.0], [142.0, 284.0], [142.0, 297.0], [92.0, 297.0]], ('$3.559', 0.9093515872955322)], [[[4.0, 305.0], [66.0, 305.0], [66.0, 319.0], [4.0, 319.0]], ('TOTALD', 0.9780243039131165)], [[[91.0, 305.0], [135.0, 305.0], [135.0, 320.0], [91.0, 320.0]], ('$3.57', 0.9825836420059204)], [[[38.0, 327.0], [102.0, 327.0], [102.0, 338.0], [38.0, 338.0]], ('THANK YOU', 0.9313300251960754)], [[[17.0, 338.0], [121.0, 338.0], [121.0, 351.0], [17.0, 351.0]], ('HAVE A NICE DAY', 0.9194650053977966)]]	{"store_name": "EXPRESSPAY", "store_addr": "WESTERN&IRVI 4000NWESTERN CHICAGO1L", "telephone": "", "date": "020/05/11", "time": "16:54", "subtotal": "", "tax": "", "total": "$3.57", "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	[[[[132.0, 17.0], [187.0, 18.0], [187.0, 29.0], [131.0, 28.0]], ('Tax tavoice', 0.8658750057220459)], [[[83.0, 28.0], [236.0, 28.0], [236.0, 38.0], [83.0, 38.0]], ('Tian Tian Hainanese Chicken Rice', 0.9074564576148987)], [[[120.0, 38.0], [200.0, 38.0], [200.0, 48.0], [120.0, 48.0]], ('StNo10&11', 0.8239389061927795)], [[[110.0, 49.0], [212.0, 49.0], [212.0, 59.0], [110.0, 59.0]], ('MaxwellFood Centre', 0.9123204350471497)], [[[116.0, 60.0], [205.0, 58.0], [206.0, 71.0], [116.0, 73.0]], ('Singapore069184', 0.9508819580078125)], [[[127.0, 72.0], [199.0, 72.0], [199.0, 83.0], [127.0, 83.0]], ('Tel96914852', 0.9340360760688782)], [[[99.0, 85.0], [226.0, 83.0], [227.0, 96.0], [99.0, 99.0]], ('263an 2018 11:58:49AM', 0.883487343788147)], [[[46.0, 114.0], [235.0, 110.0], [235.0, 124.0], [46.0, 128.0]], ('Receipt no:0R18012600010200', 0.9075894355773926)], [[[47.0, 134.0], [103.0, 134.0], [103.0, 148.0], [47.0, 148.0]], ('Queue:', 0.9945557713508606)], [[[122.0, 131.0], [158.0, 131.0], [158.0, 146.0], [122.0, 146.0]], ('0200', 0.9981844425201416)], [[[45.0, 149.0], [68.0, 152.0], [66.0, 168.0], [43.0, 165.0]], ('Qty', 0.9614357948303223)], [[[160.0, 148.0], [217.0, 148.0], [217.0, 162.0], [160.0, 162.0]], ('CashierET', 0.9733862280845642)], [[[256.0, 146.0], [284.0, 146.0], [284.0, 161.0], [256.0, 161.0]], ('Total', 0.9806853532791138)], [[[48.0, 170.0], [61.0, 170.0], [61.0, 183.0], [48.0, 183.0]], ('1', 0.9845921397209167)], [[[78.0, 167.0], [174.0, 166.0], [174.0, 180.0], [78.0, 181.0]], ('StmCRL-Std', 0.9313468933105469)], [[[254.0, 164.0], [284.0, 164.0], [284.0, 179.0], [254.0, 179.0]], ('$7.80', 0.9972816705703735)], [[[51.0, 186.0], [60.0, 186.0], [60.0, 196.0], [51.0, 196.0]], ('1', 0.9906242489814758)], [[[79.0, 182.0], [177.0, 181.0], [177.0, 195.0], [79.0, 196.0]], ('Stm CRM-Std', 0.9367151856422424)], [[[254.0, 179.0], [284.0, 179.0], [284.0, 194.0], [254.0, 194.0]], ('$5.00', 0.994024395942688)], [[[70.0, 202.0], [109.0, 202.0], [109.0, 216.0], [70.0, 216.0]], ('TOTAL:', 0.9802649617195129)], [[[249.0, 197.0], [284.0, 197.0], [284.0, 211.0], [249.0, 211.0]], ('$12.80', 0.9968053698539734)], [[[70.0, 218.0], [104.0, 218.0], [104.0, 232.0], [70.0, 232.0]], ('CASH:', 0.948676586151123)], [[[247.0, 213.0], [284.0, 211.0], [285.0, 226.0], [248.0, 228.0]], ('$12.80', 0.9888462424278259)], [[[71.0, 231.0], [167.0, 229.0], [167.0, 242.0], [71.0, 244.0]], ('GSTinchded.$0.84', 0.8140789270401001)], [[[115.0, 254.0], [220.0, 251.0], [220.0, 265.0], [115.0, 268.0]], ('TTCRM MW)Pte Ltd', 0.9203835725784302)], [[[114.0, 269.0], [222.0, 264.0], [223.0, 278.0], [115.0, 283.0]], ('GST no.2009202345R', 0.9414156675338745)], [[[95.0, 284.0], [243.0, 278.0], [243.0, 292.0], [95.0, 299.0]], ('Thank you.Please come again.', 0.9269523024559021)], [[[47.0, 382.0], [187.0, 377.0], [187.0, 402.0], [48.0, 406.0]], ('Queue:0200', 0.9663537740707397)], [[[44.0, 412.0], [65.0, 412.0], [65.0, 429.0], [44.0, 429.0]], ('ET', 0.9972869157791138)], [[[52.0, 430.0], [139.0, 428.0], [139.0, 445.0], [52.0, 447.0]], ('26/01/2018', 0.9962895512580872)], [[[157.0, 427.0], [201.0, 427.0], [201.0, 445.0], [157.0, 445.0]], ('11:58', 0.9352798461914062)], [[[261.0, 425.0], [294.0, 425.0], [294.0, 444.0], [261.0, 444.0]], ('Qtv', 0.8745786547660828)]]	{"store_name": "", "store_addr": "StaffNo,10&11 MaxwellFoodCentre singapore069184", "telephone": "96914852", "date": "26Jan2018", "time": "11:58:49AM", "subtotal": "", "tax": "", "total": "$12.80", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "StmCR(L)-Std", "item_value": "$5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "StmCR(M)-Std", "item_value": "$7.80", "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	[[[[6.0, 51.0], [122.0, 45.0], [123.0, 63.0], [7.0, 70.0]], ("CiCi's Pizza #40", 0.9126927256584167)], [[[8.0, 72.0], [140.0, 63.0], [141.0, 81.0], [9.0, 90.0]], ("Welcome to CiCi's", 0.9081795811653137)], [[[148.0, 95.0], [230.0, 95.0], [230.0, 112.0], [148.0, 112.0]], ('Register #0', 0.9603864550590515)], [[[12.0, 106.0], [95.0, 102.0], [95.0, 119.0], [13.0, 123.0]], ("CiCi's #40", 0.8849488496780396)], [[[25.0, 173.0], [95.0, 168.0], [96.0, 187.0], [26.0, 191.0]], ('Dine In ', 0.8737399578094482)], [[[22.0, 207.0], [218.0, 198.0], [219.0, 215.0], [23.0, 224.0]], ('1Adult Buffet Regular $5.99', 0.9352365136146545)], [[[21.0, 223.0], [212.0, 218.0], [212.0, 235.0], [21.0, 240.0]], ('1Adult Drnk Regular $1.89', 0.8973766565322876)], [[[21.0, 239.0], [235.0, 234.0], [235.0, 254.0], [21.0, 259.0]], ('1 Adut Drnk Upse32oz $0.50', 0.8981155753135681)], [[[34.0, 273.0], [141.0, 270.0], [141.0, 287.0], [35.0, 290.0]], ('Subtotal$8.38', 0.9527407288551331)], [[[34.0, 290.0], [121.0, 288.0], [121.0, 306.0], [35.0, 309.0]], ('Tax 1:$0.69', 0.9113432168960571)], [[[33.0, 308.0], [150.0, 306.0], [150.0, 323.0], [33.0, 326.0]], ('Amount Due:$9.07', 0.9345825910568237)], [[[32.0, 327.0], [171.0, 323.0], [171.0, 340.0], [32.0, 344.0]], ('Amount Paid:$10.00', 0.9502511620521545)], [[[32.0, 345.0], [156.0, 342.0], [157.0, 361.0], [32.0, 363.0]], ('Change Due$0.93', 0.9723289608955383)], [[[17.0, 379.0], [145.0, 379.0], [145.0, 399.0], [17.0, 399.0]], ('Payments Tendered', 0.9809088706970215)], [[[18.0, 399.0], [107.0, 399.0], [107.0, 416.0], [18.0, 416.0]], ('CASH$9.07', 0.9808695316314697)]]	{"store_name": "cici`spizza#40 cici`s#40", "store_addr": "", "telephone": "", "date": "4/10/2015", "time": "12:51", "subtotal": "$8.38", "tax": "$0.69", "total": "$9.07 $9.07", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "AdultBuffetRegular", "item_value": "$5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "AdultDrinkRegular", "item_value": "$1.89", "item_quantity": "1"}, {"item_key": "", "item_name": "AdultDrinkUpsell32oz", "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	[[[[103.0, 56.0], [202.0, 43.0], [205.0, 64.0], [105.0, 76.0]], ("Applebee's", 0.9711037874221802)], [[[114.0, 84.0], [202.0, 76.0], [203.0, 90.0], [115.0, 98.0]], ("APPLEBEE'S", 0.9785994291305542)], [[[100.0, 95.0], [206.0, 84.0], [207.0, 98.0], [101.0, 109.0]], ('NE00 ILLBAR', 0.6278058290481567)], [[[104.0, 111.0], [203.0, 103.0], [204.0, 117.0], [105.0, 125.0]], ('Jacksonvile.FL 32244', 0.8003061413764954)], [[[111.0, 102.0], [198.0, 94.0], [200.0, 108.0], [112.0, 116.0]], ('535 Blanding Bvd', 0.8269225358963013)], [[[120.0, 120.0], [186.0, 115.0], [187.0, 126.0], [121.0, 131.0]], ('904771-0000', 0.9718733429908752)], [[[61.0, 140.0], [121.0, 140.0], [121.0, 151.0], [61.0, 151.0]], ('SEAN D', 0.939477264881134)], [[[193.0, 135.0], [238.0, 130.0], [239.0, 141.0], [194.0, 146.0]], ('TB#91', 0.849725604057312)], [[[58.0, 148.0], [239.0, 140.0], [240.0, 154.0], [59.0, 161.0]], ('DA7E:04-15-15TIHE0735PMSUESTS5', 0.8620495200157166)], [[[56.0, 158.0], [143.0, 153.0], [144.0, 168.0], [57.0, 172.0]], ('Check#9995-56466', 0.8838602304458618)], [[[77.0, 175.0], [153.0, 172.0], [153.0, 186.0], [78.0, 189.0]], ('CLASSIC GR SAND', 0.8832961320877075)], [[[191.0, 171.0], [219.0, 171.0], [219.0, 185.0], [191.0, 185.0]], ('10.49', 0.9739983677864075)], [[[77.0, 186.0], [124.0, 184.0], [125.0, 197.0], [78.0, 199.0]], ('SWEET TEA', 0.870868980884552)], [[[191.0, 183.0], [217.0, 180.0], [219.0, 194.0], [192.0, 197.0]], ('2.59', 0.9925430417060852)], [[[76.0, 197.0], [127.0, 195.0], [128.0, 209.0], [77.0, 211.0]], ('TONOFICER', 0.919825553894043)], [[[191.0, 193.0], [222.0, 193.0], [222.0, 207.0], [191.0, 207.0]], ('-1.05', 0.9075782895088196)], [[[53.0, 209.0], [90.0, 209.0], [90.0, 219.0], [53.0, 219.0]], ('*X', 0.5859603881835938)], [[[98.0, 207.0], [238.0, 203.0], [239.0, 216.0], [98.0, 220.0]], ('GUEST3SLB-TOTAL12.87', 0.900495707988739)], [[[158.0, 228.0], [235.0, 227.0], [236.0, 237.0], [158.0, 238.0]], ('******3*', 0.5169599056243896)], [[[108.0, 240.0], [212.0, 238.0], [213.0, 252.0], [108.0, 254.0]], ('We want to', 0.893240749835968)], [[[68.0, 253.0], [240.0, 250.0], [240.0, 264.0], [68.0, 267.0]], ('See You Tomorrow,', 0.9264464378356934)], [[[106.0, 265.0], [213.0, 262.0], [214.0, 275.0], [106.0, 278.0]], ('so tell us', 0.9066604375839233)], [[[87.0, 278.0], [222.0, 274.0], [222.0, 287.0], [87.0, 291.0]], ('how we did!!', 0.8612930774688721)], [[[118.0, 302.0], [201.0, 302.0], [201.0, 315.0], [118.0, 315.0]], ("Take App lebee's", 0.9167495369911194)], [[[96.0, 315.0], [221.0, 313.0], [221.0, 327.0], [96.0, 330.0]], ('GUEST EXPERIENCE SURVEY', 0.961290717124939)], [[[115.0, 344.0], [190.0, 342.0], [191.0, 357.0], [115.0, 358.0]], ('Go onl ine to:', 0.8455904722213745)], [[[36.0, 359.0], [262.0, 353.0], [262.0, 371.0], [37.0, 376.0]], ('applebees.com/survey', 0.9883502721786499)], [[[91.0, 388.0], [216.0, 386.0], [216.0, 400.0], [91.0, 402.0]], ('Rece1ve 10 CHANCES to', 0.9287928342819214)], [[[55.0, 403.0], [245.0, 399.0], [245.0, 416.0], [56.0, 420.0]], ('WIN $1OOO DAILY', 0.9134994745254517)], [[[76.0, 419.0], [236.0, 416.0], [237.0, 433.0], [77.0, 436.0]], ('PLUS you can INSTANTLY WIN', 0.9175273180007935)], [[[57.0, 437.0], [115.0, 438.0], [115.0, 449.0], [56.0, 448.0]], ('other', 0.953356146812439)], [[[123.0, 436.0], [202.0, 433.0], [202.0, 447.0], [124.0, 449.0]], ('GREAT', 0.9850656390190125)], [[[196.0, 433.0], [272.0, 433.0], [272.0, 447.0], [196.0, 447.0]], ('PRIZES', 0.9965956211090088)]]	{"store_name": "Applebee's APPLEBEE'S", "store_addr": "Jacksonville.FL32244", "telephone": "(904)771-0000", "date": "04-15-15", "time": "07:35PM", "subtotal": "GUEST#3SLB-TOTAL:12.87", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CLASSICGRSAND", "item_value": "10.49", "item_quantity": "1"}, {"item_key": "", "item_name": "SWEETTEA", "item_value": "2.59", "item_quantity": "1"}, {"item_key": "", "item_name": "10%OFICER", "item_value": "-1.05", "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	[[[[142.0, 1.0], [246.0, 1.0], [246.0, 11.0], [142.0, 11.0]], ('do Chiat Road #O1-', 0.8284727931022644)], [[[168.0, 11.0], [251.0, 8.0], [251.0, 25.0], [168.0, 28.0]], ('Tel:84507996', 0.9430570602416992)], [[[136.0, 24.0], [287.0, 23.0], [287.0, 41.0], [136.0, 42.0]], ('Email [email protected]', 0.9243265986442566)], [[[149.0, 40.0], [275.0, 39.0], [275.0, 56.0], [149.0, 57.0]], ('Website:oldbibik.com', 0.9588063359260559)], [[[138.0, 71.0], [285.0, 70.0], [285.0, 88.0], [138.0, 89.0]], ('11 Mar 2018 1:18:39 PM', 0.8834970593452454)], [[[78.0, 83.0], [144.0, 87.0], [143.0, 101.0], [77.0, 97.0]], ('Cashier:00', 0.9558290243148804)], [[[77.0, 98.0], [143.0, 102.0], [142.0, 116.0], [76.0, 112.0]], ('POS:POS1', 0.9374940395355225)], [[[244.0, 89.0], [285.0, 85.0], [287.0, 100.0], [245.0, 104.0]], ('Table:4', 0.9865823984146118)], [[[244.0, 103.0], [278.0, 103.0], [278.0, 118.0], [244.0, 118.0]], ('Pax:4', 0.9419766664505005)], [[[76.0, 115.0], [262.0, 121.0], [262.0, 138.0], [75.0, 132.0]], ('Receipt No:OR18031100010006', 0.9657791256904602)], [[[74.0, 130.0], [182.0, 135.0], [181.0, 152.0], [73.0, 147.0]], ('Qty Description', 0.9502103924751282)], [[[317.0, 132.0], [351.0, 132.0], [351.0, 147.0], [317.0, 147.0]], ('Total', 0.9963117837905884)], [[[80.0, 156.0], [95.0, 153.0], [98.0, 167.0], [84.0, 171.0]], ('2', 0.9763492345809937)], [[[111.0, 153.0], [217.0, 159.0], [216.0, 176.0], [110.0, 171.0]], ('White Rice ', 0.9278261661529541)], [[[307.0, 154.0], [351.0, 154.0], [351.0, 172.0], [307.0, 172.0]], ('$2.00', 0.9966263771057129)], [[[82.0, 176.0], [95.0, 176.0], [95.0, 189.0], [82.0, 189.0]], ('1', 0.8640036582946777)], [[[110.0, 174.0], [277.0, 176.0], [277.0, 194.0], [109.0, 192.0]], ('Lemon Tea Cold', 0.9130858182907104)], [[[308.0, 174.0], [352.0, 174.0], [352.0, 192.0], [308.0, 192.0]], ('$3.20', 0.9972614049911499)], [[[81.0, 212.0], [93.0, 212.0], [93.0, 226.0], [81.0, 226.0]], ('1', 0.9356239438056946)], [[[110.0, 210.0], [279.0, 211.0], [279.0, 228.0], [109.0, 227.0]], ('Guava Citrus lced Tea', 0.9389430284500122)], [[[309.0, 210.0], [353.0, 210.0], [353.0, 228.0], [309.0, 228.0]], ('$5.50', 0.9963041543960571)], [[[79.0, 248.0], [92.0, 248.0], [92.0, 264.0], [79.0, 264.0]], ('2', 0.9932776093482971)], [[[109.0, 247.0], [271.0, 248.0], [271.0, 265.0], [108.0, 264.0]], ('Teh-Tarik (Hot) Kosong', 0.915720522403717)], [[[311.0, 248.0], [353.0, 248.0], [353.0, 263.0], [311.0, 263.0]], ('$4.00', 0.9963151812553406)], [[[78.0, 286.0], [91.0, 286.0], [91.0, 301.0], [78.0, 301.0]], ('2', 0.9969927072525024)], [[[106.0, 285.0], [214.0, 283.0], [214.0, 300.0], [107.0, 302.0]], ('Add Nut ', 0.8819472193717957)], [[[312.0, 284.0], [355.0, 284.0], [355.0, 302.0], [312.0, 302.0]], ('$3.00', 0.9966322779655457)], [[[78.0, 307.0], [90.0, 307.0], [90.0, 321.0], [78.0, 321.0]], ('1', 0.9706090092658997)], [[[107.0, 306.0], [285.0, 303.0], [285.0, 320.0], [108.0, 324.0]], ('Ayam Buah Keluak ', 0.9203357100486755)], [[[305.0, 306.0], [355.0, 306.0], [355.0, 321.0], [305.0, 321.0]], ('$20.00', 0.9948036670684814)], [[[79.0, 330.0], [88.0, 330.0], [88.0, 344.0], [79.0, 344.0]], ('1', 0.8493020534515381)], [[[107.0, 329.0], [273.0, 329.0], [273.0, 344.0], [107.0, 344.0]], ('Nyonya Chap Chye ', 0.9395812153816223)], [[[305.0, 328.0], [357.0, 328.0], [357.0, 345.0], [305.0, 345.0]], ('$15.00', 0.9963114857673645)], [[[78.0, 353.0], [87.0, 353.0], [87.0, 365.0], [78.0, 365.0]], ('1', 0.9866222739219666)], [[[105.0, 350.0], [254.0, 347.0], [254.0, 365.0], [106.0, 367.0]], ('Beef Rendang ', 0.9021934866905212)], [[[305.0, 349.0], [358.0, 349.0], [358.0, 367.0], [305.0, 367.0]], ('$20.00', 0.997119128704071)], [[[78.0, 375.0], [85.0, 375.0], [85.0, 386.0], [78.0, 386.0]], ('1', 0.5552202463150024)], [[[105.0, 372.0], [282.0, 372.0], [282.0, 389.0], [105.0, 389.0]], ('Sambal Potato Leaves ', 0.9445919990539551)], [[[305.0, 371.0], [358.0, 371.0], [358.0, 389.0], [305.0, 389.0]], ('$15.00', 0.9952821731567383)], [[[92.0, 424.0], [160.0, 424.0], [160.0, 438.0], [92.0, 438.0]], ('SUBTOTAL:', 0.9871557950973511)], [[[312.0, 420.0], [359.0, 422.0], [358.0, 440.0], [311.0, 438.0]], ('$87.70', 0.9947285652160645)]]	{"store_name": "", "store_addr": "", "telephone": "84507996", "date": "11Mar2018", "time": "1:18:39PM", "subtotal": "$87.70", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "WhiteRice", "item_value": "$2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LemonTea(cold)", "item_value": "$3.20", "item_quantity": "1"}, {"item_key": "", "item_name": "GuavaCitruslcedTea", "item_value": "$5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Teh-Tarik(Hot)Kosong", "item_value": "$4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AddNut", "item_value": "$3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AyamBuahKeluak", "item_value": "$20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NyonyaChapChye", "item_value": "$15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BeefRendang", "item_value": "$20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SambalPotatoLeaves", "item_value": "$15.00", "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	[[[[72.0, 31.0], [231.0, 18.0], [232.0, 35.0], [73.0, 48.0]], ('OPK-', 0.6411087512969971)], [[[109.0, 49.0], [188.0, 47.0], [188.0, 61.0], [110.0, 63.0]], ('-TEANTEAMINI-', 0.80573570728302)], [[[80.0, 61.0], [216.0, 57.0], [216.0, 74.0], [81.0, 78.0]], ('MOPAITHEM.KENETANTINOE', 0.7534921765327454)], [[[93.0, 75.0], [203.0, 72.0], [204.0, 86.0], [93.0, 90.0]], ('MEZEBORCMEIO-OYZEPI', 0.7767231464385986)], [[[93.0, 89.0], [204.0, 85.0], [205.0, 99.0], [93.0, 103.0]], ('YHARANTHE 7-KEPKYPA', 0.7850934267044067)], [[[110.0, 102.0], [188.0, 99.0], [188.0, 113.0], [111.0, 116.0]], ('AOM:143559150', 0.8933713436126709)], [[[116.0, 115.0], [189.0, 111.0], [189.0, 124.0], [117.0, 128.0]], ('COY KEPKTPAE', 0.7584086060523987)], [[[106.0, 127.0], [194.0, 123.0], [194.0, 137.0], [107.0, 141.0]], ('THA:28610294200', 0.8338663578033447)], [[[90.0, 140.0], [218.0, 135.0], [218.0, 150.0], [91.0, 154.0]], ('EYKAPIETOYME-THANK YOU', 0.8674059510231018)], [[[75.0, 164.0], [139.0, 164.0], [139.0, 178.0], [75.0, 178.0]], ('APIO.MHX:00', 0.8676288723945618)], [[[170.0, 163.0], [234.0, 159.0], [235.0, 173.0], [170.0, 176.0]], ('XEIPIETHE1', 0.8814932107925415)], [[[74.0, 177.0], [168.0, 174.0], [168.0, 188.0], [74.0, 191.0]], ('HHEPA:22-08-2017', 0.9390554428100586)], [[[75.0, 202.0], [113.0, 200.0], [114.0, 214.0], [75.0, 216.0]], ('EIAH r', 0.5949249267578125)], [[[171.0, 199.0], [198.0, 199.0], [198.0, 214.0], [171.0, 214.0]], ('0.90', 0.8999769687652588)], [[[198.0, 199.0], [235.0, 199.0], [235.0, 213.0], [198.0, 213.0]], ('24.003', 0.8325480818748474)], [[[171.0, 211.0], [198.0, 211.0], [198.0, 226.0], [171.0, 226.0]], ('0.90', 0.8219367861747742)], [[[197.0, 211.0], [236.0, 211.0], [236.0, 225.0], [197.0, 225.0]], ('24.00%', 0.8669431805610657)], [[[77.0, 225.0], [115.0, 225.0], [115.0, 239.0], [77.0, 239.0]], ('EIGHT', 0.7006432414054871)], [[[171.0, 223.0], [198.0, 223.0], [198.0, 238.0], [171.0, 238.0]], ('5,20', 0.9602990746498108)], [[[198.0, 224.0], [235.0, 224.0], [235.0, 235.0], [198.0, 235.0]], ('24.002', 0.8572830557823181)], [[[78.0, 237.0], [115.0, 237.0], [115.0, 251.0], [78.0, 251.0]], ('EIAH T', 0.6587627530097961)], [[[172.0, 235.0], [198.0, 235.0], [198.0, 250.0], [172.0, 250.0]], ('8,40', 0.9482168555259705)], [[[197.0, 234.0], [237.0, 234.0], [237.0, 248.0], [197.0, 248.0]], ('24.00', 0.8801685571670532)], [[[76.0, 251.0], [114.0, 247.0], [116.0, 261.0], [78.0, 265.0]], ('EIOH ', 0.7037065625190735)], [[[171.0, 247.0], [237.0, 245.0], [237.0, 260.0], [171.0, 262.0]], ('5.0024.00', 0.899097740650177)], [[[76.0, 261.0], [115.0, 259.0], [116.0, 273.0], [76.0, 276.0]], ('EIAH', 0.7382345795631409)], [[[172.0, 259.0], [237.0, 257.0], [237.0, 272.0], [172.0, 274.0]], ('5.2024.00', 0.8895359039306641)], [[[76.0, 272.0], [114.0, 272.0], [114.0, 286.0], [76.0, 286.0]], ('EIAHT', 0.7155376672744751)], [[[173.0, 271.0], [206.0, 271.0], [206.0, 285.0], [173.0, 285.0]], ('4.002', 0.8778526186943054)], [[[201.0, 270.0], [238.0, 270.0], [238.0, 284.0], [201.0, 284.0]], ('24.00%', 0.8691966533660889)], [[[75.0, 284.0], [113.0, 284.0], [113.0, 298.0], [75.0, 298.0]], ('EIAH T', 0.7239761352539062)], [[[174.0, 283.0], [206.0, 283.0], [206.0, 297.0], [174.0, 297.0]], ('150', 0.9967343807220459)], [[[201.0, 282.0], [239.0, 282.0], [239.0, 296.0], [201.0, 296.0]], ('24.00%', 0.9515838027000427)], [[[73.0, 309.0], [112.0, 309.0], [112.0, 323.0], [73.0, 323.0]], ('EYNOAO', 0.8633737564086914)], [[[157.0, 310.0], [171.0, 310.0], [171.0, 322.0], [157.0, 322.0]], ('E', 0.7148054242134094)], [[[178.0, 308.0], [240.0, 305.0], [240.0, 322.0], [179.0, 325.0]], ('31,10', 0.9269213676452637)], [[[71.0, 322.0], [117.0, 322.0], [117.0, 336.0], [71.0, 336.0]], ('METPHTA', 0.994174063205719)], [[[208.0, 320.0], [243.0, 320.0], [243.0, 335.0], [208.0, 335.0]], ('31.10', 0.9527831077575684)], [[[69.0, 351.0], [146.0, 351.0], [146.0, 365.0], [69.0, 365.0]], ('NO/TA:8,000', 0.8552455306053162)], [[[66.0, 364.0], [246.0, 362.0], [246.0, 379.0], [66.0, 381.0]], ('HM.A0:0002 AP.A00004974', 0.84504634141922)], [[[116.0, 393.0], [197.0, 391.0], [197.0, 408.0], [116.0, 410.0]], ('DCI 14003022', 0.9573090076446533)], [[[92.0, 410.0], [223.0, 410.0], [223.0, 424.0], [92.0, 424.0]], ('70C5F845490378724886', 0.9753758311271667)], [[[91.0, 425.0], [223.0, 425.0], [223.0, 439.0], [91.0, 439.0]], ('055BCA7E5900815AAAD4', 0.9202818870544434)]]	{"store_name": "", "store_addr": "", "telephone": "2881029420", "date": "22-08-2017", "time": "21:54", "subtotal": "\u20ac31,10", "tax": "", "total": "31,10", "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	[[[[92.0, 50.0], [257.0, 61.0], [256.0, 81.0], [91.0, 70.0]], ('AuthontioIrdonesanEuino', 0.7850373387336731)], [[[100.0, 69.0], [244.0, 77.0], [243.0, 92.0], [100.0, 84.0]], (' Tanong Pagar Road Sigapore 68487', 0.816806972026825)], [[[148.0, 85.0], [201.0, 85.0], [201.0, 96.0], [148.0, 96.0]], ('Tel62206610', 0.8798795342445374)], [[[55.0, 126.0], [218.0, 130.0], [218.0, 144.0], [55.0, 141.0]], ('Receipt:0008491', 0.946772038936615)], [[[56.0, 137.0], [152.0, 141.0], [151.0, 155.0], [56.0, 152.0]], ('Table No', 0.945663571357727)], [[[56.0, 149.0], [136.0, 152.0], [135.0, 165.0], [56.0, 162.0]], ('Covers:', 0.9849182367324829)], [[[164.0, 141.0], [200.0, 141.0], [200.0, 155.0], [164.0, 155.0]], ('3', 0.9959622025489807)], [[[143.0, 153.0], [156.0, 153.0], [156.0, 162.0], [143.0, 162.0]], ('3', 0.9975095987319946)], [[[57.0, 172.0], [62.0, 172.0], [62.0, 181.0], [57.0, 181.0]], ('2', 0.5719284415245056)], [[[90.0, 172.0], [146.0, 172.0], [146.0, 183.0], [90.0, 183.0]], ('LIME JUICE', 0.9386907815933228)], [[[258.0, 170.0], [283.0, 170.0], [283.0, 182.0], [258.0, 182.0]], ('6.00', 0.9900323152542114)], [[[89.0, 181.0], [157.0, 181.0], [157.0, 195.0], [89.0, 195.0]], ('WATER NO ICE', 0.9238955974578857)], [[[256.0, 180.0], [284.0, 177.0], [286.0, 191.0], [257.0, 194.0]], ('0.50', 0.9879956841468811)], [[[55.0, 193.0], [62.0, 193.0], [62.0, 204.0], [55.0, 204.0]], ('2', 0.9007836580276489)], [[[89.0, 194.0], [115.0, 194.0], [115.0, 205.0], [89.0, 205.0]], ('RICE', 0.9985586404800415)], [[[257.0, 190.0], [286.0, 190.0], [286.0, 204.0], [257.0, 204.0]], ('2.00', 0.9945212006568909)], [[[57.0, 205.0], [61.0, 205.0], [61.0, 212.0], [57.0, 212.0]], ('-', 0.8049365282058716)], [[[87.0, 203.0], [151.0, 201.0], [152.0, 215.0], [88.0, 217.0]], ('AYAM GORENG', 0.9511670470237732)], [[[254.0, 201.0], [286.0, 201.0], [286.0, 215.0], [254.0, 215.0]], ('26.00', 0.9875836372375488)], [[[56.0, 217.0], [60.0, 217.0], [60.0, 224.0], [56.0, 224.0]], ('-', 0.6422428488731384)], [[[88.0, 215.0], [152.0, 215.0], [152.0, 226.0], [88.0, 226.0]], ('SAYUR LODEH', 0.9582074880599976)], [[[256.0, 213.0], [285.0, 213.0], [285.0, 224.0], [256.0, 224.0]], ('12.00', 0.996464729309082)], [[[87.0, 225.0], [180.0, 225.0], [180.0, 239.0], [87.0, 239.0]], ('BBQ CUMI(SOTONG)', 0.9116394519805908)], [[[254.0, 223.0], [286.0, 223.0], [286.0, 237.0], [254.0, 237.0]], ('28.00', 0.9914952516555786)], [[[55.0, 240.0], [60.0, 240.0], [60.0, 245.0], [55.0, 245.0]], ('1.', 0.5922117829322815)], [[[88.0, 238.0], [130.0, 238.0], [130.0, 249.0], [88.0, 249.0]], ('BLACHAN', 0.994846761226654)], [[[258.0, 234.0], [287.0, 234.0], [287.0, 248.0], [258.0, 248.0]], ('0.50', 0.9940967559814453)], [[[109.0, 270.0], [158.0, 270.0], [158.0, 284.0], [109.0, 284.0]], ('SUBTOTAL', 0.9950637817382812)], [[[252.0, 268.0], [283.0, 268.0], [283.0, 282.0], [252.0, 282.0]], ('75.00', 0.9962055087089539)], [[[109.0, 282.0], [164.0, 282.0], [164.0, 296.0], [109.0, 296.0]], ('Scv.C10%', 0.8940454125404358)], [[[257.0, 281.0], [282.0, 281.0], [282.0, 293.0], [257.0, 293.0]], ('7.50', 0.9962072372436523)], [[[99.0, 293.0], [157.0, 293.0], [157.0, 307.0], [99.0, 307.0]], ('TOTAL', 0.9984943270683289)], [[[225.0, 293.0], [281.0, 293.0], [281.0, 304.0], [225.0, 304.0]], ('82.50', 0.9695947766304016)], [[[119.0, 341.0], [155.0, 341.0], [155.0, 356.0], [119.0, 356.0]], ('BAL', 0.9978607296943665)], [[[228.0, 340.0], [286.0, 340.0], [286.0, 354.0], [228.0, 354.0]], ('82.50', 0.9902908205986023)], [[[49.0, 368.0], [109.0, 368.0], [109.0, 382.0], [49.0, 382.0]], ('Iten Qty:9', 0.9011043310165405)], [[[186.0, 367.0], [243.0, 367.0], [243.0, 381.0], [186.0, 381.0]], ('Svc Qty:0', 0.8868312835693359)], [[[48.0, 381.0], [151.0, 380.0], [151.0, 394.0], [48.0, 395.0]], ('Term:1 No:0000008', 0.9186936020851135)], [[[211.0, 382.0], [268.0, 382.0], [268.0, 393.0], [211.0, 393.0]], ('Cashier:1', 0.9583796262741089)], [[[46.0, 393.0], [202.0, 392.0], [202.0, 409.0], [46.0, 410.0]], ('Date:May-14-2016 07:00 PM', 0.9277560710906982)], [[[135.0, 422.0], [201.0, 424.0], [200.0, 438.0], [134.0, 436.0]], ('Thank you!', 0.9217432737350464)]]	{"store_name": "", "store_addr": "", "telephone": "62206519", "date": "May-14-2016", "time": "07:00PM", "subtotal": "75.00", "tax": "7.50", "total": "82.50 82.50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "LIMEJUICE", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WATERNOICE", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "RICE", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AYAMGORENG", "item_value": "26.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SAYURLODEH", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BBQCUMI(SOTONG)", "item_value": "28.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BLACHAN", "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	[[[[59.0, 5.0], [170.0, 9.0], [169.0, 39.0], [59.0, 35.0]], ('OTARGET', 0.9814535975456238)], [[[26.0, 55.0], [122.0, 52.0], [123.0, 63.0], [26.0, 67.0]], ('04/04/2011 11:41 AM', 0.9179401397705078)], [[[2.0, 100.0], [93.0, 97.0], [93.0, 111.0], [2.0, 115.0]], ('CLEANING SUPPL IES', 0.9211530685424805)], [[[4.0, 110.0], [52.0, 110.0], [52.0, 121.0], [4.0, 121.0]], ('003070592', 0.989379346370697)], [[[77.0, 106.0], [142.0, 104.0], [143.0, 119.0], [77.0, 121.0]], ('PUREX CRYSTL', 0.9288066029548645)], [[[160.0, 107.0], [169.0, 107.0], [169.0, 118.0], [160.0, 118.0]], ('T', 0.7014555931091309)], [[[2.0, 120.0], [65.0, 118.0], [66.0, 129.0], [2.0, 131.0]], ('524200613827', 0.997155487537384)], [[[76.0, 124.0], [199.0, 123.0], [199.0, 141.0], [76.0, 142.0]], ('Coupon $0.96 off$2.99', 0.902825117111206)], [[[79.0, 118.0], [134.0, 118.0], [134.0, 129.0], [79.0, 129.0]], ('MFR COUPON', 0.9457321166992188)], [[[2.0, 157.0], [48.0, 157.0], [48.0, 169.0], [2.0, 169.0]], ('052031272', 0.9932546615600586)], [[[0.0, 164.0], [48.0, 164.0], [48.0, 178.0], [0.0, 178.0]], ('052033419', 0.9970419406890869)], [[[77.0, 164.0], [134.0, 164.0], [134.0, 178.0], [77.0, 178.0]], ('NAIL COLOR', 0.9604905843734741)], [[[0.0, 175.0], [48.0, 173.0], [49.0, 187.0], [0.0, 190.0]], ('052060106', 0.9887831807136536)], [[[77.0, 174.0], [118.0, 174.0], [118.0, 189.0], [77.0, 189.0]], ('CLIPPER', 0.9959589242935181)], [[[1.0, 185.0], [47.0, 185.0], [47.0, 197.0], [1.0, 197.0]], ('052060117', 0.9763322472572327)], [[[78.0, 184.0], [127.0, 184.0], [127.0, 196.0], [78.0, 196.0]], ('NAIL FILE', 0.9397779107093811)], [[[0.0, 205.0], [21.0, 205.0], [21.0, 218.0], [0.0, 218.0]], ('HISC', 0.8128746151924133)], [[[0.0, 216.0], [47.0, 216.0], [47.0, 227.0], [0.0, 227.0]], ('34070586', 0.9626770615577698)], [[[77.0, 216.0], [143.0, 216.0], [143.0, 227.0], [77.0, 227.0]], ('PEDICURE SET', 0.9656886458396912)], [[[0.0, 234.0], [61.0, 237.0], [60.0, 249.0], [0.0, 247.0]], ('74170600365', 0.996921718120575)], [[[1.0, 226.0], [62.0, 226.0], [62.0, 238.0], [1.0, 238.0]], ('00997500748', 0.9975830316543579)], [[[75.0, 225.0], [136.0, 225.0], [136.0, 240.0], [75.0, 240.0]], ('MFR COUPON', 0.9358407258987427)], [[[75.0, 235.0], [135.0, 235.0], [135.0, 250.0], [75.0, 250.0]], ('MFR COUPON', 0.9415949583053589)], [[[0.0, 265.0], [61.0, 269.0], [60.0, 284.0], [0.0, 280.0]], ('T=WA TAX', 0.9281400442123413)], [[[124.0, 257.0], [173.0, 257.0], [173.0, 272.0], [124.0, 272.0]], ('SUBTOTAL', 0.994388222694397)], [[[191.0, 264.0], [231.0, 264.0], [231.0, 299.0], [191.0, 299.0]], ('80.81', 0.5965200662612915)], [[[195.0, 257.0], [226.0, 257.0], [226.0, 273.0], [195.0, 273.0]], ('$0.00', 0.9970639944076538)], [[[67.0, 267.0], [132.0, 269.0], [132.0, 283.0], [66.0, 281.0]], ('9.5000%on', 0.9416742324829102)], [[[142.0, 268.0], [176.0, 268.0], [176.0, 283.0], [142.0, 283.0]], ('$8.50', 0.9015668034553528)], [[[74.0, 280.0], [140.0, 280.0], [140.0, 292.0], [74.0, 292.0]], ('MERCHANDISE', 0.9864946007728577)], [[[138.0, 281.0], [175.0, 281.0], [175.0, 293.0], [138.0, 293.0]], ('TOTAL', 0.9886904954910278)]]	{"store_name": "TARGET", "store_addr": "", "telephone": "RENTON-425-207-0067", "date": "04/04/2011", "time": "11:41AM", "subtotal": "$0.00", "tax": "$0.81", "total": "$0.81", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PUREXCRYSTL", "item_value": "$1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NAILCOLOR", "item_value": "$1.29", "item_quantity": "1"}, {"item_key": "", "item_name": "NAILCOLOR", "item_value": "$2.24", "item_quantity": "1"}, {"item_key": "", "item_name": "CLIPPER", "item_value": "$0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "NAILFILE", "item_value": "$0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "PEDICURESET", "item_value": "$2.03", "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, 95.0], [190.0, 98.0], [190.0, 115.0], [122.0, 112.0]], ('GANESH', 0.9968295693397522)], [[[87.0, 108.0], [220.0, 113.0], [220.0, 127.0], [86.0, 122.0]], ('FINE INDIAN CUISINE', 0.9634321928024292)], [[[46.0, 121.0], [259.0, 127.0], [259.0, 141.0], [46.0, 136.0]], ('CN QUAN 7.CONG TY TNHH GANESH', 0.9103583097457886)], [[[79.0, 137.0], [223.0, 140.0], [223.0, 153.0], [79.0, 150.0]], ('6P St.TAN PHONG Ward', 0.914136528968811)], [[[37.0, 150.0], [267.0, 154.0], [267.0, 168.0], [36.0, 164.0]], ('R4-54HUNG PHUOC 3.DIST.7HCM CITY', 0.9088248610496521)], [[[63.0, 165.0], [243.0, 167.0], [243.0, 181.0], [62.0, 179.0]], ('Tel08.54101627-08.54101628', 0.9610850811004639)], [[[112.0, 180.0], [198.0, 181.0], [198.0, 195.0], [112.0, 194.0]], ('ww.ganesh.vn', 0.940777063369751)], [[[82.0, 193.0], [225.0, 194.0], [225.0, 208.0], [82.0, 207.0]], ('[email protected]', 0.9687920212745667)], [[[39.0, 220.0], [93.0, 220.0], [93.0, 234.0], [39.0, 234.0]], ('Table.05', 0.9440616369247437)], [[[224.0, 219.0], [270.0, 221.0], [269.0, 236.0], [223.0, 234.0]], ('1:06PM', 0.9413365721702576)], [[[39.0, 235.0], [89.0, 235.0], [89.0, 246.0], [39.0, 246.0]], ('BilD6', 0.8675916790962219)], [[[38.0, 249.0], [107.0, 249.0], [107.0, 260.0], [38.0, 260.0]], ('Date.1/7/16', 0.9233219027519226)], [[[40.0, 266.0], [66.0, 269.0], [64.0, 284.0], [39.0, 281.0]], ('Q.ty', 0.9852691292762756)], [[[163.0, 266.0], [197.0, 269.0], [196.0, 284.0], [162.0, 281.0]], ('Price', 0.9973823428153992)], [[[238.0, 267.0], [269.0, 267.0], [269.0, 282.0], [238.0, 282.0]], ('Total', 0.9979532957077026)], [[[44.0, 287.0], [59.0, 287.0], [59.0, 295.0], [44.0, 295.0]], ('10', 0.6377279758453369)], [[[63.0, 283.0], [126.0, 285.0], [125.0, 299.0], [62.0, 297.0]], ('Garic Naan', 0.8927794694900513)], [[[164.0, 284.0], [203.0, 284.0], [203.0, 298.0], [164.0, 298.0]], ('49,000', 0.9173963069915771)], [[[232.0, 284.0], [270.0, 284.0], [270.0, 298.0], [232.0, 298.0]], ('49,000', 0.9078073501586914)], [[[64.0, 297.0], [125.0, 299.0], [125.0, 314.0], [63.0, 311.0]], ('Lentil Soup', 0.9279857277870178)], [[[165.0, 298.0], [203.0, 298.0], [203.0, 312.0], [165.0, 312.0]], ('40.000', 0.9283038973808289)], [[[232.0, 298.0], [269.0, 298.0], [269.0, 312.0], [232.0, 312.0]], ('40.000', 0.9002270102500916)], [[[45.0, 315.0], [54.0, 315.0], [54.0, 324.0], [45.0, 324.0]], ('1', 0.8242800235748291)], [[[63.0, 312.0], [136.0, 315.0], [135.0, 329.0], [62.0, 326.0]], ('Veg Samosa', 0.9529417753219604)], [[[164.0, 312.0], [203.0, 312.0], [203.0, 326.0], [164.0, 326.0]], ('48.000', 0.9333240389823914)], [[[232.0, 313.0], [268.0, 313.0], [268.0, 324.0], [232.0, 324.0]], ('48.000', 0.950347900390625)], [[[45.0, 329.0], [55.0, 329.0], [55.0, 338.0], [45.0, 338.0]], ('1', 0.8463455438613892)], [[[63.0, 327.0], [117.0, 327.0], [117.0, 342.0], [63.0, 342.0]], ('Diet Coke', 0.974833071231842)], [[[164.0, 326.0], [203.0, 326.0], [203.0, 341.0], [164.0, 341.0]], ('34.000', 0.9466356635093689)], [[[230.0, 325.0], [269.0, 325.0], [269.0, 340.0], [230.0, 340.0]], ('34.000', 0.9352285861968994)], [[[42.0, 373.0], [150.0, 372.0], [150.0, 386.0], [42.0, 387.0]], ('Service Charge5%', 0.9276480674743652)], [[[231.0, 370.0], [263.0, 370.0], [263.0, 385.0], [231.0, 385.0]], ('8,550', 0.9322353601455688)], [[[45.0, 411.0], [100.0, 411.0], [100.0, 425.0], [45.0, 425.0]], ('TOTAL:', 0.984538733959198)], [[[211.0, 408.0], [266.0, 408.0], [266.0, 425.0], [211.0, 425.0]], ('179,550', 0.9677945375442505)]]	{"store_name": "GANESH FINEINDIANCUISINE", "store_addr": "CNQUAN7,CONGTYTNHHGANESH 6PStTANPHONGWard. R4-54HUNGPHUOC3.DIST7,HCMCITY", "telephone": "08.54101627-08.54101628", "date": "1/7/16", "time": "1:06PM", "subtotal": "", "tax": "", "total": "179.550", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "GarlicNaan", "item_value": "49.000", "item_quantity": "1"}, {"item_key": "", "item_name": "LentilSoup", "item_value": "40.000", "item_quantity": "1"}, {"item_key": "", "item_name": "VegSamosa", "item_value": "48.000", "item_quantity": "1"}, {"item_key": "", "item_name": "DietCoke", "item_value": "34.000", "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	[[[[1064.0, 731.0], [1668.0, 724.0], [1670.0, 833.0], [1065.0, 840.0]], ('MobiWeb', 0.9631821513175964)], [[[1011.0, 1146.0], [1515.0, 1135.0], [1517.0, 1217.0], [1013.0, 1228.0]], ('Receipt no:50', 0.9753223657608032)], [[[890.0, 1238.0], [1644.0, 1224.0], [1645.0, 1295.0], [891.0, 1309.0]], ('Date:30/09/2014 10:12:31', 0.9618009924888611)], [[[1012.0, 1316.0], [1522.0, 1309.0], [1523.0, 1380.0], [1013.0, 1388.0]], ('Opened By:admin', 0.9665359258651733)], [[[1043.0, 1398.0], [1494.0, 1390.0], [1496.0, 1462.0], [1044.0, 1469.0]], ('Insert By admin', 0.9512900114059448)], [[[977.0, 1473.0], [1564.0, 1461.0], [1565.0, 1543.0], [978.0, 1554.0]], ('Payment Type:Cash', 0.9486817717552185)], [[[1460.0, 1615.0], [1666.0, 1615.0], [1666.0, 1690.0], [1460.0, 1690.0]], ('PRICE', 0.9971429705619812)], [[[1756.0, 1612.0], [1972.0, 1612.0], [1972.0, 1686.0], [1756.0, 1686.0]], ('TOTAL', 0.9981120228767395)], [[[489.0, 1637.0], [618.0, 1627.0], [624.0, 1702.0], [494.0, 1711.0]], ('QTY', 0.9902462959289551)], [[[671.0, 1629.0], [831.0, 1629.0], [831.0, 1703.0], [671.0, 1703.0]], ('ITEM', 0.9978830814361572)], [[[495.0, 1721.0], [580.0, 1733.0], [569.0, 1808.0], [484.0, 1796.0]], ('2x', 0.7486982941627502)], [[[1499.0, 1714.0], [1669.0, 1714.0], [1669.0, 1788.0], [1499.0, 1788.0]], ('12.00', 0.996788501739502)], [[[1805.0, 1714.0], [1975.0, 1714.0], [1975.0, 1778.0], [1805.0, 1778.0]], ('24.00', 0.9983599781990051)], [[[682.0, 1727.0], [1207.0, 1727.0], [1207.0, 1795.0], [682.0, 1795.0]], ('Chicken Chop(unit)', 0.978033185005188)], [[[502.0, 1795.0], [585.0, 1815.0], [565.0, 1893.0], [482.0, 1872.0]], ('1x', 0.8054959774017334)], [[[1527.0, 1795.0], [1662.0, 1795.0], [1662.0, 1860.0], [1527.0, 1860.0]], ('2.00', 0.9975082874298096)], [[[1831.0, 1790.0], [1975.0, 1780.0], [1980.0, 1858.0], [1836.0, 1868.0]], ('2.00', 0.9971888065338135)], [[[675.0, 1802.0], [1064.0, 1802.0], [1064.0, 1870.0], [675.0, 1870.0]], ('redeem1(unit)', 0.9942948222160339)], [[[1530.0, 1867.0], [1669.0, 1867.0], [1669.0, 1941.0], [1530.0, 1941.0]], ('1.80', 0.9947682023048401)], [[[1839.0, 1863.0], [1982.0, 1863.0], [1982.0, 1938.0], [1839.0, 1938.0]], ('1.80', 0.996300995349884)], [[[497.0, 1880.0], [577.0, 1880.0], [577.0, 1958.0], [497.0, 1958.0]], ('1x', 0.8781479597091675)], [[[670.0, 1884.0], [955.0, 1876.0], [957.0, 1948.0], [673.0, 1956.0]], ('yeos(unit)', 0.9963988065719604)], [[[1506.0, 1952.0], [1669.0, 1952.0], [1669.0, 2016.0], [1506.0, 2016.0]], ('12.00', 0.9967457056045532)], [[[1812.0, 1945.0], [1982.0, 1945.0], [1982.0, 2020.0], [1812.0, 2020.0]], ('12.00', 0.9975964426994324)], [[[501.0, 1965.0], [574.0, 1965.0], [574.0, 2037.0], [501.0, 2037.0]], ('1x', 0.8826639652252197)], [[[674.0, 1958.0], [1189.0, 1955.0], [1189.0, 2030.0], [675.0, 2033.0]], ('king fried rice(unit)', 0.9428717494010925)], [[[675.0, 2054.0], [828.0, 2054.0], [828.0, 2132.0], [675.0, 2132.0]], ('Total', 0.9983928799629211)], [[[1812.0, 2047.0], [1989.0, 2047.0], [1989.0, 2122.0], [1812.0, 2122.0]], ('39.80', 0.9980551600456238)], [[[1850.0, 2128.0], [1992.0, 2128.0], [1992.0, 2203.0], [1850.0, 2203.0]], ('0.00', 0.9946537613868713)], [[[674.0, 2143.0], [934.0, 2134.0], [936.0, 2209.0], [676.0, 2218.0]], ('Discount', 0.9971299767494202)], [[[1819.0, 2210.0], [1992.0, 2210.0], [1992.0, 2285.0], [1819.0, 2285.0]], ('39.80', 0.9979890584945679)], [[[671.0, 2220.0], [859.0, 2220.0], [859.0, 2292.0], [671.0, 2292.0]], ('Grand', 0.9981417655944824)], [[[1857.0, 2288.0], [1999.0, 2288.0], [1999.0, 2363.0], [1857.0, 2363.0]], ('0.00', 0.9955542683601379)], [[[675.0, 2298.0], [970.0, 2298.0], [970.0, 2370.0], [675.0, 2370.0]], ('Extra Disc', 0.9772168397903442)], [[[672.0, 2365.0], [875.0, 2378.0], [869.0, 2463.0], [666.0, 2450.0]], ('Srvc()', 0.8574073910713196)], [[[1861.0, 2362.0], [2004.0, 2371.0], [1999.0, 2449.0], [1855.0, 2440.0]], ('0.00', 0.9932401180267334)], [[[1860.0, 2448.0], [2006.0, 2448.0], [2006.0, 2526.0], [1860.0, 2526.0]], ('2.25', 0.9411800503730774)], [[[671.0, 2462.0], [1134.0, 2462.0], [1134.0, 2533.0], [671.0, 2533.0]], ('Inclusive Of Tax', 0.9511298537254333)], [[[671.0, 2536.0], [908.0, 2536.0], [908.0, 2611.0], [671.0, 2611.0]], ('(6.00%)', 0.9773868918418884)], [[[1836.0, 2615.0], [2006.0, 2615.0], [2006.0, 2693.0], [1836.0, 2693.0]], ('0.00', 0.9942624568939209)], [[[671.0, 2625.0], [1036.0, 2625.0], [1036.0, 2706.0], [671.0, 2706.0]], ('Round Up', 0.9611625671386719)], [[[664.0, 2744.0], [828.0, 2744.0], [828.0, 2836.0], [664.0, 2836.0]], ('Nett', 0.9993540644645691)], [[[1794.0, 2740.0], [2013.0, 2740.0], [2013.0, 2825.0], [1794.0, 2825.0]], ('39.80', 0.9978469610214233)], [[[671.0, 2846.0], [1012.0, 2846.0], [1012.0, 2927.0], [671.0, 2927.0]], ('Tendered', 0.9981622099876404)], [[[1843.0, 2846.0], [2013.0, 2846.0], [2013.0, 2924.0], [1843.0, 2924.0]], ('0.00', 0.9961617588996887)], [[[671.0, 2936.0], [961.0, 2953.0], [956.0, 3041.0], [666.0, 3025.0]], ('Change', 0.9985405802726746)], [[[1777.0, 2951.0], [2013.0, 2951.0], [2013.0, 3026.0], [1777.0, 3026.0]], ('-39.80', 0.9824865460395813)]]	{"store_name": "MobiWeb", "store_addr": "", "telephone": "", "date": "30/09/2014", "time": "10:12:31", "subtotal": "39.80", "tax": "2.25", "total": "39.80 39.80", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ChickenChop(unit)", "item_value": "24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "redeem1(unit)", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "yeos(unit)", "item_value": "1.80", "item_quantity": "1"}, {"item_key": "", "item_name": "kingfriedrice(unit)", "item_value": "12.00", "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	[[[[124.0, 191.0], [396.0, 202.0], [394.0, 247.0], [122.0, 236.0]], ('10ER', 0.9786216616630554)], [[[117.0, 229.0], [606.0, 252.0], [604.0, 304.0], [115.0, 281.0]], ('-1 Singore Post Centre', 0.8745632171630859)], [[[120.0, 318.0], [364.0, 327.0], [363.0, 367.0], [119.0, 358.0]], ('Te:5/499385', 0.7524392604827881)], [[[117.0, 361.0], [573.0, 382.0], [571.0, 427.0], [115.0, 406.0]], ('GST1NOM-0023981-4', 0.8708839416503906)], [[[379.0, 465.0], [573.0, 469.0], [572.0, 510.0], [379.0, 506.0]], ('TAX INVOICE', 0.903223991394043)], [[[370.0, 550.0], [558.0, 555.0], [557.0, 595.0], [369.0, 590.0]], ('MFY side 2', 0.8886281847953796)], [[[122.0, 635.0], [776.0, 632.0], [776.0, 678.0], [123.0, 682.0]], ('OD-REG29-05/12/2013 13:29:59', 0.8930807113647461)], [[[124.0, 685.0], [275.0, 680.0], [277.0, 720.0], [125.0, 725.0]], ('QTY191', 0.6127175688743591)], [[[716.0, 678.0], [816.0, 678.0], [816.0, 720.0], [716.0, 720.0]], ('TOTAL', 0.9980649948120117)], [[[161.0, 728.0], [516.0, 730.0], [516.0, 765.0], [160.0, 763.0]], ('Erbeque Suce Tub', 0.8761124014854431)], [[[735.0, 725.0], [817.0, 725.0], [817.0, 763.0], [735.0, 763.0]], ('0.00', 0.9954006671905518)], [[[162.0, 773.0], [428.0, 773.0], [428.0, 808.0], [162.0, 808.0]], ('GChlli Sachet', 0.7565140128135681)], [[[738.0, 770.0], [819.0, 770.0], [819.0, 808.0], [738.0, 808.0]], ('0.00', 0.9935975670814514)], [[[160.0, 820.0], [447.0, 820.0], [447.0, 855.0], [160.0, 855.0]], ('Margarine Fats', 0.8627399802207947)], [[[738.0, 815.0], [821.0, 815.0], [821.0, 853.0], [738.0, 853.0]], ('0.00', 0.9960768222808838)], [[[740.0, 860.0], [821.0, 860.0], [821.0, 898.0], [740.0, 898.0]], ('0.00', 0.9965289831161499)], [[[741.0, 907.0], [822.0, 907.0], [822.0, 945.0], [741.0, 945.0]], ('0.00', 0.9965038895606995)], [[[157.0, 955.0], [409.0, 955.0], [409.0, 990.0], [157.0, 990.0]], ('tsani 600ML', 0.6026922464370728)], [[[743.0, 952.0], [824.0, 952.0], [824.0, 990.0], [743.0, 990.0]], ('4.80', 0.9956892728805542)], [[[158.0, 996.0], [414.0, 1002.0], [413.0, 1042.0], [157.0, 1036.0]], ('195.nqesee', 0.5067618489265442)], [[[744.0, 998.0], [826.0, 998.0], [826.0, 1037.0], [744.0, 1037.0]], ('1.95', 0.9942394495010376)], [[[159.0, 1048.0], [485.0, 1048.0], [485.0, 1083.0], [159.0, 1083.0]], ('1Dru lets 2pc', 0.7614864110946655)], [[[744.0, 1043.0], [831.0, 1043.0], [831.0, 1087.0], [744.0, 1087.0]], ('2.30', 0.9654200077056885)], [[[154.0, 1092.0], [543.0, 1093.0], [543.0, 1133.0], [154.0, 1132.0]], ('1Lpung Burger+Corn', 0.8780401945114136)], [[[744.0, 1090.0], [832.0, 1090.0], [832.0, 1133.0], [744.0, 1133.0]], ('5.00', 0.9917341470718384)], [[[156.0, 1140.0], [501.0, 1142.0], [501.0, 1177.0], [155.0, 1175.0]], ('Fllet D Pish Meal', 0.7261853814125061)], [[[748.0, 1138.0], [834.0, 1138.0], [834.0, 1182.0], [748.0, 1182.0]], ('3.45', 0.9786636233329773)], [[[154.0, 1188.0], [543.0, 1188.0], [543.0, 1228.0], [154.0, 1228.0]], ('1Surcharge $3.50', 0.9332134127616882)], [[[749.0, 1187.0], [835.0, 1187.0], [835.0, 1232.0], [749.0, 1232.0]], ('3.50', 0.9857068061828613)], [[[113.0, 1278.0], [523.0, 1285.0], [522.0, 1325.0], [112.0, 1318.0]], ('Othetalincl GST)', 0.8003259301185608)], [[[735.0, 1285.0], [839.0, 1285.0], [839.0, 1327.0], [735.0, 1327.0]], ('21.00', 0.9926867485046387)], [[[734.0, 1334.0], [836.0, 1329.0], [838.0, 1373.0], [736.0, 1377.0]], ('50.00', 0.9912952184677124)], [[[110.0, 1369.0], [228.0, 1379.0], [224.0, 1421.0], [106.0, 1411.0]], ('Chengna', 0.7917288541793823)], [[[734.0, 1381.0], [838.0, 1376.0], [839.0, 1419.0], [736.0, 1424.0]], ('29.00', 0.9858440160751343)], [[[113.0, 1465.0], [507.0, 1477.0], [505.0, 1517.0], [112.0, 1505.0]], ('TOTAL NCLUDIES GST OF', 0.8764157891273499)], [[[752.0, 1469.0], [834.0, 1464.0], [836.0, 1509.0], [755.0, 1514.0]], ('1.37', 0.9866202473640442)], [[[296.0, 1560.0], [820.0, 1553.0], [821.0, 1598.0], [297.0, 1599.0]], ('Than You & Have A Nice Day', 0.8601347804069519)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "05/12/2013", "time": "13:29:59", "subtotal": "", "tax": "1.37", "total": "21.00", "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	[[[[100.0, 3.0], [157.0, 6.0], [156.0, 23.0], [99.0, 19.0]], ('Issaquah', 0.9894536733627319)], [[[81.0, 21.0], [165.0, 24.0], [165.0, 37.0], [81.0, 35.0]], ('425392-2511', 0.9900153875350952)], [[[51.0, 56.0], [199.0, 57.0], [199.0, 70.0], [51.0, 69.0]], ('Ticket #3999', 0.9623916149139404)], [[[1.0, 74.0], [64.0, 74.0], [64.0, 85.0], [1.0, 85.0]], ('2016-09-16', 0.983592689037323)], [[[203.0, 75.0], [246.0, 75.0], [246.0, 86.0], [203.0, 86.0]], ('6:47PM', 0.9243464469909668)], [[[70.0, 90.0], [182.0, 90.0], [182.0, 103.0], [70.0, 103.0]], ('E08004832293999', 0.9942188858985901)], [[[1.0, 121.0], [98.0, 121.0], [98.0, 134.0], [1.0, 134.0]], ('Cashier: Alyson', 0.9398739337921143)], [[[24.0, 150.0], [109.0, 150.0], [109.0, 160.0], [24.0, 160.0]], ('CrnchWrap Only', 0.9075948596000671)], [[[214.0, 147.0], [238.0, 147.0], [238.0, 158.0], [214.0, 158.0]], ('3.19', 0.9909713268280029)], [[[32.0, 163.0], [99.0, 163.0], [99.0, 174.0], [32.0, 174.0]], ('CrchWrp Sup', 0.9385996460914612)], [[[39.0, 176.0], [77.0, 176.0], [77.0, 187.0], [39.0, 187.0]], ('+Guac', 0.9657264947891235)], [[[209.0, 172.0], [234.0, 172.0], [234.0, 184.0], [209.0, 184.0]], ('0.30', 0.982608437538147)], [[[40.0, 188.0], [108.0, 188.0], [108.0, 199.0], [40.0, 199.0]], ('+Frsc Style', 0.9581539630889893)], [[[29.0, 200.0], [99.0, 200.0], [99.0, 211.0], [29.0, 211.0]], ('Burrito Only', 0.9236841797828674)], [[[207.0, 196.0], [230.0, 196.0], [230.0, 208.0], [207.0, 208.0]], ('1.00', 0.9900186061859131)], [[[36.0, 212.0], [98.0, 212.0], [98.0, 222.0], [36.0, 222.0]], ('Bur Bf Frit', 0.7927906513214111)], [[[49.0, 222.0], [104.0, 222.0], [104.0, 231.0], [49.0, 231.0]], ('S O', 0.536811888217926)], [[[203.0, 243.0], [223.0, 243.0], [223.0, 249.0], [203.0, 249.0]], ('0.42', 0.6878690719604492)]]	{"store_name": "", "store_addr": "Issaquah", "telephone": "(425)392-2511", "date": "", "time": "6:47PM", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BurritoOnly", "item_value": "3.19", "item_quantity": "1"}, {"item_key": "", "item_name": "CrchWrpSup", "item_value": "0.30", "item_quantity": "1"}, {"item_key": "", "item_name": "CrnchWrapOnly", "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	[[[[154.0, 125.0], [402.0, 128.0], [401.0, 151.0], [154.0, 147.0]], ('CREDIT CARD VOLR..', 0.7348108291625977)], [[[216.0, 155.0], [343.0, 158.0], [343.0, 178.0], [216.0, 174.0]], ('ANY RESTAURANI', 0.880048394203186)], [[[242.0, 182.0], [318.0, 184.0], [317.0, 204.0], [241.0, 201.0]], ('ANYWER', 0.9025920033454895)], [[[219.0, 209.0], [342.0, 209.0], [342.0, 232.0], [219.0, 232.0]], ('69696969(69)', 0.8478894233703613)], [[[113.0, 258.0], [154.0, 261.0], [153.0, 283.0], [111.0, 280.0]], ('DATE', 0.9892705678939819)], [[[350.0, 264.0], [444.0, 264.0], [444.0, 283.0], [350.0, 283.0]], ('02/02/2014', 0.9926149249076843)], [[[114.0, 288.0], [154.0, 288.0], [154.0, 308.0], [114.0, 308.0]], ('TIME', 0.9956485033035278)], [[[114.0, 313.0], [202.0, 316.0], [201.0, 338.0], [113.0, 336.0]], ('CARDIYPE', 0.9530206918716431)], [[[419.0, 317.0], [446.0, 317.0], [446.0, 338.0], [419.0, 338.0]], ('MC', 0.9866359233856201)], [[[113.0, 343.0], [155.0, 343.0], [155.0, 363.0], [113.0, 363.0]], ('ACCT', 0.990773618221283)], [[[269.0, 346.0], [440.0, 346.0], [440.0, 364.0], [269.0, 364.0]], ('XXXXXXXXXXXX1111', 0.6738463640213013)], [[[113.0, 369.0], [199.0, 372.0], [198.0, 391.0], [112.0, 389.0]], ('TRANS XEY', 0.9275780916213989)], [[[321.0, 374.0], [443.0, 374.0], [443.0, 392.0], [321.0, 392.0]], ('HYL8789798234', 0.9578254222869873)], [[[114.0, 399.0], [198.0, 399.0], [198.0, 417.0], [114.0, 417.0]], ('AUTH COXXE', 0.8384286761283875)], [[[394.0, 400.0], [444.0, 400.0], [444.0, 419.0], [394.0, 419.0]], ('12345', 0.9952751994132996)], [[[113.0, 425.0], [192.0, 425.0], [192.0, 445.0], [113.0, 445.0]], ('EXPDATE', 0.9883703589439392)], [[[393.0, 427.0], [443.0, 427.0], [443.0, 447.0], [393.0, 447.0]], ('XX/XX', 0.8549953699111938)], [[[113.0, 451.0], [162.0, 451.0], [162.0, 472.0], [113.0, 472.0]], ('CHECK', 0.8534755706787109)], [[[403.0, 455.0], [443.0, 455.0], [443.0, 474.0], [403.0, 474.0]], ('1111', 0.8944406509399414)], [[[112.0, 478.0], [163.0, 478.0], [163.0, 499.0], [112.0, 499.0]], ('TABLE', 0.9812883138656616)], [[[392.0, 477.0], [443.0, 480.0], [442.0, 503.0], [391.0, 500.0]], ('11/11', 0.9176415205001831)], [[[109.0, 504.0], [171.0, 504.0], [171.0, 527.0], [109.0, 527.0]], ('SERVER', 0.9911038279533386)], [[[354.0, 506.0], [441.0, 509.0], [441.0, 528.0], [354.0, 525.0]], ('34MONIKA', 0.9490097761154175)], [[[110.0, 561.0], [188.0, 561.0], [188.0, 581.0], [110.0, 581.0]], ('Subtotal', 0.9848117232322693)], [[[363.0, 559.0], [442.0, 561.0], [442.0, 584.0], [362.0, 581.0]], ('$1969.69', 0.9572750329971313)], [[[107.0, 610.0], [187.0, 615.0], [186.0, 639.0], [106.0, 634.0]], ('Gratuity', 0.9580975770950317)], [[[108.0, 672.0], [157.0, 672.0], [157.0, 693.0], [108.0, 693.0]], ('Total', 0.7747884392738342)], [[[105.0, 759.0], [193.0, 759.0], [193.0, 779.0], [105.0, 779.0]], ('Signature', 0.9329398274421692)], [[[209.0, 898.0], [334.0, 903.0], [333.0, 924.0], [208.0, 920.0]], ('Customet Copy', 0.8637596368789673)]]	{"store_name": "", "store_addr": "", "telephone": "(69)69696969", "date": "02/02/2014", "time": "11:11", "subtotal": "$1969.69", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[92.0, 38.0], [217.0, 49.0], [216.0, 62.0], [91.0, 51.0]], ('2514Q33352514Q-3410', 0.8876875042915344)], [[[125.0, 48.0], [189.0, 55.0], [187.0, 69.0], [123.0, 62.0]], ('TERRANCE SPENCER', 0.8575645685195923)], [[[124.0, 59.0], [185.0, 65.0], [184.0, 76.0], [124.0, 70.0]], ('GENERAL KANGER', 0.8492786288261414)], [[[80.0, 75.0], [126.0, 80.0], [125.0, 91.0], [79.0, 86.0]], ('274Stacy L', 0.8828223347663879)], [[[76.0, 92.0], [111.0, 96.0], [110.0, 109.0], [74.0, 105.0]], ('Tb141/1', 0.8635913133621216)], [[[135.0, 97.0], [172.0, 101.0], [171.0, 112.0], [134.0, 108.0]], ('Chk7900', 0.8092317581176758)], [[[205.0, 102.0], [232.0, 105.0], [231.0, 117.0], [204.0, 114.0]], ('Gst2', 0.786621630191803)], [[[81.0, 122.0], [118.0, 126.0], [117.0, 137.0], [80.0, 133.0]], ('1nater', 0.8058164119720459)], [[[83.0, 133.0], [134.0, 136.0], [133.0, 147.0], [82.0, 145.0]], ('1Soft Drirk', 0.8324668407440186)], [[[202.0, 128.0], [221.0, 131.0], [219.0, 144.0], [200.0, 141.0]], ('0.00', 0.9758874177932739)], [[[81.0, 141.0], [184.0, 147.0], [183.0, 160.0], [80.0, 154.0]], ('1 Oyster PoBoy t1 Sace', 0.7861999273300171)], [[[201.0, 145.0], [221.0, 149.0], [218.0, 162.0], [199.0, 158.0]], ('11.93', 0.7554189562797546)], [[[202.0, 140.0], [220.0, 140.0], [220.0, 153.0], [202.0, 153.0]], ('2.29', 0.9430832862854004)], [[[81.0, 160.0], [175.0, 164.0], [174.0, 177.0], [80.0, 173.0]], ('1 Lunch Fish Tacos Si', 0.7917884588241577)], [[[91.0, 152.0], [142.0, 154.0], [142.0, 165.0], [90.0, 163.0]], ('Tartar Sauce', 0.9153642058372498)], [[[83.0, 172.0], [122.0, 172.0], [122.0, 183.0], [83.0, 183.0]], ('1*$Gumbo', 0.7716388702392578)], [[[203.0, 166.0], [220.0, 166.0], [220.0, 179.0], [203.0, 179.0]], ('7.49', 0.9426729083061218)], [[[82.0, 180.0], [129.0, 182.0], [128.0, 193.0], [81.0, 191.0]], ('1.Pecan Pie', 0.8806558847427368)], [[[203.0, 173.0], [221.0, 176.0], [219.0, 189.0], [201.0, 186.0]], ('3.99', 0.9350209832191467)], [[[88.0, 198.0], [126.0, 200.0], [125.0, 213.0], [87.0, 211.0]], ('Suttotal', 0.911481499671936)], [[[86.0, 210.0], [109.0, 210.0], [109.0, 221.0], [86.0, 221.0]], ('Tax', 0.9544029235839844)], [[[200.0, 203.0], [222.0, 203.0], [222.0, 215.0], [200.0, 215.0]], ('31.25', 0.9530762434005737)], [[[70.0, 217.0], [127.0, 219.0], [126.0, 233.0], [70.0, 231.0]], ('01:16PH Tota', 0.8102268576622009)], [[[179.0, 219.0], [223.0, 221.0], [222.0, 235.0], [178.0, 233.0]], ('34.38', 0.9951445460319519)], [[[201.0, 211.0], [223.0, 211.0], [223.0, 226.0], [201.0, 226.0]], ('3.13', 0.9770463109016418)], [[[89.0, 237.0], [180.0, 239.0], [179.0, 252.0], [88.0, 250.0]], ('OINS FOR HPPY HOR', 0.7607923150062561)], [[[86.0, 257.0], [182.0, 259.0], [181.0, 272.0], [85.0, 270.0]], ('$7.49RAYSTERSAND', 0.8958770036697388)], [[[88.0, 248.0], [203.0, 250.0], [203.0, 261.0], [87.0, 259.0]], ('3P.M.TP.M.EVERYDAY!!!!', 0.8162038922309875)], [[[87.0, 270.0], [160.0, 270.0], [160.0, 280.0], [87.0, 280.0]], ('$2DOMESTIC.DRAFT', 0.9011757969856262)], [[[133.0, 300.0], [202.0, 300.0], [202.0, 311.0], [133.0, 311.0]], ('eFriedStevedNude', 0.9069225192070007)], [[[109.0, 344.0], [205.0, 344.0], [205.0, 357.0], [109.0, 357.0]], ('For your convenience', 0.9375044703483582)], [[[85.0, 356.0], [223.0, 352.0], [223.0, 366.0], [86.0, 369.0]], ('e are providing the follouing', 0.9406386017799377)], [[[110.0, 367.0], [209.0, 365.0], [209.0, 378.0], [111.0, 380.0]], ('gratufty calculations:', 0.9333269000053406)], [[[109.0, 390.0], [208.0, 388.0], [208.0, 402.0], [110.0, 404.0]], ('16%gratuity is $5.50', 0.9395972490310669)], [[[109.0, 402.0], [209.0, 400.0], [209.0, 414.0], [110.0, 416.0]], ('18%gratuity 1s $5.19', 0.9012134671211243)], [[[108.0, 416.0], [210.0, 412.0], [210.0, 426.0], [109.0, 430.0]], ('20% gratuity is $6.88', 0.8971280455589294)]]	{"store_name": "", "store_addr": "", "telephone": "251-442-3335", "date": "Nov30'15", "time": "01:16PM", "subtotal": "31.25", "tax": "3.13", "total": "34.38", "ignore": " ", "tips": "$6.88 $6.19 $5.50", "line_items": [{"item_key": "", "item_name": "PecenPie", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.29", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "11.99", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "7.49", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "5.49", "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	[[[[99.0, 131.0], [301.0, 126.0], [301.0, 147.0], [99.0, 152.0]], ('Flat Shoals Crossing', 0.9431962966918945)], [[[100.0, 156.0], [302.0, 150.0], [302.0, 171.0], [100.0, 177.0]], ('3649 Flakes Mi11Rd.', 0.9025280475616455)], [[[70.0, 182.0], [332.0, 174.0], [333.0, 195.0], [71.0, 203.0]], ('DecaturGA770-322-2380', 0.9705013036727905)], [[[11.0, 207.0], [381.0, 199.0], [381.0, 221.0], [11.0, 228.0]], ('Store Manager Johnny HankersonJr.', 0.9649798274040222)], [[[23.0, 280.0], [175.0, 277.0], [175.0, 298.0], [24.0, 301.0]], ('CUPCAKE 6CT DEC', 0.9401599764823914)], [[[321.0, 273.0], [406.0, 271.0], [407.0, 292.0], [322.0, 294.0]], ('4.99TF', 0.9755457043647766)], [[[23.0, 305.0], [175.0, 301.0], [175.0, 322.0], [24.0, 326.0]], ('CUPCAKE 6CT DEC', 0.9507297873497009)], [[[322.0, 297.0], [407.0, 295.0], [408.0, 317.0], [323.0, 319.0]], ('4.99TF', 0.9892135262489319)], [[[23.0, 329.0], [175.0, 326.0], [175.0, 346.0], [24.0, 349.0]], ('CUPCAKE 6CT DEC', 0.9331988096237183)], [[[322.0, 322.0], [407.0, 320.0], [408.0, 341.0], [323.0, 343.0]], ('4.99TF', 0.9863352179527283)], [[[24.0, 353.0], [176.0, 350.0], [176.0, 371.0], [25.0, 374.0]], ('CUPCAKE 6CT DEC', 0.9166316390037537)], [[[324.0, 346.0], [407.0, 344.0], [408.0, 366.0], [325.0, 368.0]], ('4.99TF', 0.9856187701225281)], [[[24.0, 378.0], [208.0, 374.0], [208.0, 395.0], [25.0, 399.0]], ('OML/ABLE TKY/AMER', 0.9675477147102356)], [[[23.0, 401.0], [139.0, 398.0], [140.0, 422.0], [24.0, 426.0]], ('1@2FOR', 0.9183300137519836)], [[[193.0, 399.0], [239.0, 396.0], [240.0, 418.0], [194.0, 421.0]], ('6.00', 0.9912341833114624)], [[[325.0, 395.0], [409.0, 393.0], [410.0, 415.0], [326.0, 417.0]], ('3.00t F', 0.9236165285110474)], [[[26.0, 427.0], [210.0, 423.0], [210.0, 443.0], [27.0, 448.0]], ('OM L/ABLE TKY/AMER', 0.9615035653114319)], [[[24.0, 451.0], [140.0, 447.0], [141.0, 470.0], [25.0, 474.0]], ('12FOR', 0.9439176321029663)], [[[196.0, 446.0], [241.0, 446.0], [241.0, 469.0], [196.0, 469.0]], ('6.00', 0.968319296836853)], [[[325.0, 444.0], [412.0, 440.0], [413.0, 464.0], [326.0, 468.0]], ('3.00 t F', 0.8740120530128479)], [[[28.0, 476.0], [170.0, 472.0], [170.0, 493.0], [29.0, 497.0]], ('AQUAFINA WATER', 0.9648603796958923)], [[[327.0, 469.0], [411.0, 466.0], [412.0, 488.0], [328.0, 491.0]], ('1.49tF', 0.9709640145301819)], [[[28.0, 501.0], [150.0, 497.0], [151.0, 518.0], [29.0, 522.0]], ('GLAZED DONUT', 0.9543431401252747)], [[[327.0, 494.0], [412.0, 491.0], [413.0, 512.0], [328.0, 515.0]], ('0.79TF', 0.9769771695137024)], [[[28.0, 526.0], [212.0, 520.0], [212.0, 541.0], [29.0, 546.0]], ('OM L/ABLE TKY/AMER', 0.9561390280723572)], [[[29.0, 549.0], [142.0, 547.0], [143.0, 568.0], [30.0, 570.0]], ('1@2FOR', 0.9659743309020996)], [[[198.0, 545.0], [243.0, 545.0], [243.0, 567.0], [198.0, 567.0]], ('6.00', 0.9886607527732849)], [[[328.0, 543.0], [413.0, 541.0], [414.0, 562.0], [329.0, 564.0]], ('3.00t F', 0.9176355600357056)], [[[30.0, 574.0], [213.0, 569.0], [213.0, 590.0], [31.0, 595.0]], ('PUBLIX MILK WH O.5', 0.8980238437652588)], [[[330.0, 567.0], [415.0, 567.0], [415.0, 588.0], [330.0, 588.0]], ('2.09t F', 0.9255707859992981)], [[[30.0, 599.0], [173.0, 596.0], [173.0, 616.0], [31.0, 619.0]], ('KLEENEX TISSUE', 0.9592218995094299)], [[[329.0, 590.0], [396.0, 588.0], [397.0, 613.0], [330.0, 615.0]], ('2.29 T', 0.8904373049736023)], [[[30.0, 622.0], [104.0, 620.0], [105.0, 642.0], [31.0, 644.0]], ('BANANAS', 0.9958449602127075)], [[[31.0, 647.0], [127.0, 645.0], [127.0, 666.0], [32.0, 668.0]], ('1.821b@', 0.9875196218490601)], [[[169.0, 642.0], [255.0, 640.0], [255.0, 665.0], [170.0, 667.0]], ('0.69/1b', 0.9748687744140625)], [[[332.0, 640.0], [416.0, 638.0], [417.0, 660.0], [333.0, 662.0]], ('1.26tF', 0.9892094731330872)], [[[32.0, 671.0], [204.0, 667.0], [204.0, 688.0], [33.0, 692.0]], ('GLAZED DONUTS 6CT', 0.9462984800338745)], [[[333.0, 665.0], [416.0, 663.0], [417.0, 684.0], [334.0, 686.0]], ('2.19TF', 0.981253445148468)], [[[62.0, 695.0], [158.0, 693.0], [159.0, 714.0], [63.0, 716.0]], ('You Saved', 0.9490496516227722)], [[[233.0, 690.0], [278.0, 690.0], [278.0, 712.0], [233.0, 712.0]], ('0.80', 0.9882009625434875)], [[[33.0, 720.0], [216.0, 716.0], [216.0, 737.0], [34.0, 741.0]], ('PF XTRA CHEDDAR GF', 0.9327527284622192)], [[[34.0, 744.0], [148.0, 742.0], [149.0, 763.0], [34.0, 766.0]], ('1@10FOR', 0.9428916573524475)], [[[194.0, 742.0], [249.0, 739.0], [250.0, 761.0], [195.0, 764.0]], ('10.00', 0.9951980710029602)], [[[335.0, 737.0], [418.0, 735.0], [419.0, 757.0], [336.0, 760.0]], ('1.00t F', 0.9131611585617065)], [[[64.0, 769.0], [158.0, 765.0], [159.0, 787.0], [65.0, 791.0]], ('You Saved', 0.9623351693153381)], [[[233.0, 765.0], [279.0, 762.0], [280.0, 785.0], [235.0, 788.0]], ('1.39', 0.9911043047904968)], [[[35.0, 794.0], [219.0, 789.0], [219.0, 810.0], [36.0, 815.0]], ('PF CHEESE GOLDFISH', 0.9437847137451172)], [[[36.0, 818.0], [150.0, 814.0], [151.0, 838.0], [37.0, 842.0]], ('1@10FOR', 0.9318584203720093)], [[[197.0, 815.0], [250.0, 815.0], [250.0, 837.0], [197.0, 837.0]], ('10.00', 0.9941985011100769)], [[[337.0, 810.0], [421.0, 810.0], [421.0, 834.0], [337.0, 834.0]], ('1.00tF', 0.9753365516662598)], [[[66.0, 843.0], [160.0, 839.0], [161.0, 861.0], [67.0, 865.0]], ('You Saved', 0.9584159851074219)], [[[234.0, 837.0], [281.0, 834.0], [283.0, 860.0], [236.0, 863.0]], ('1.39', 0.9727584719657898)], [[[38.0, 868.0], [199.0, 864.0], [200.0, 885.0], [38.0, 889.0]], ('PROG CHICK BROTH', 0.9460843205451965)], [[[337.0, 859.0], [422.0, 856.0], [423.0, 882.0], [338.0, 884.0]], ('2.59 tF', 0.9129132628440857)], [[[57.0, 916.0], [171.0, 913.0], [171.0, 934.0], [58.0, 937.0]], ('Order Total', 0.9535440802574158)], [[[330.0, 909.0], [384.0, 909.0], [384.0, 931.0], [330.0, 931.0]], ('43.66', 0.9888019561767578)], [[[79.0, 940.0], [194.0, 940.0], [194.0, 960.0], [79.0, 960.0]], ('Reqular Tax', 0.9189832210540771)], [[[339.0, 933.0], [385.0, 933.0], [385.0, 956.0], [339.0, 956.0]], ('0.16', 0.9835308194160461)]]	{"store_name": "Publix.", "store_addr": "3649FlakesMillRd. Decatur,GA", "telephone": "770-322-2380", "date": "", "time": "", "subtotal": "43.66", "tax": "0.16", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CUPCAKE6CTDEC", "item_value": "4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CUPCAKE6CTDEC", "item_value": "4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CUPCAKE6CTDEC", "item_value": "4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CUPCAKE6CTDEC", "item_value": "4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "OML/ABLETKY/AMER", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OML/ABLETKY/AMER", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AQUAFINAWATER", "item_value": "1.49", "item_quantity": "1"}, {"item_key": "", "item_name": "GLAZEDDONUT", "item_value": "0.79", "item_quantity": "1"}, {"item_key": "", "item_name": "OML/ABLETKY/AMER", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PUBLIXMILKWH0.5", "item_value": "2.09", "item_quantity": "1"}, {"item_key": "", "item_name": "KLEENEXTISSUE", "item_value": "2.29", "item_quantity": "1"}, {"item_key": "", "item_name": "BANANAS", "item_value": "1.26", "item_quantity": "1"}, {"item_key": "", "item_name": "GLAZEDDONUTS6CT", "item_value": "2.19", "item_quantity": "1"}, {"item_key": "", "item_name": "PFXTRACHEDDARGF", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PFCHEESEGOLDFISH", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PROGCHICKBROTH", "item_value": "2.59", "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	[[[[134.0, 130.0], [225.0, 130.0], [225.0, 146.0], [134.0, 146.0]], ('SALE RECEIPT', 0.9688135981559753)], [[[45.0, 152.0], [130.0, 148.0], [130.0, 165.0], [46.0, 168.0]], ('Store #1842', 0.9645934700965881)], [[[153.0, 148.0], [317.0, 145.0], [317.0, 163.0], [153.0, 166.0]], ('tko 05/05/07 18:45:41', 0.912035346031189)], [[[45.0, 168.0], [326.0, 162.0], [326.0, 182.0], [46.0, 188.0]], ('Trans# 178 Clerk 14 Dwr 1 TRDT 050507', 0.9230273365974426)], [[[44.0, 186.0], [313.0, 181.0], [313.0, 200.0], [45.0, 205.0]], ('Receipt # 0000329722 Reg-ID REG-MAIN', 0.9558654427528381)], [[[39.0, 205.0], [101.0, 205.0], [101.0, 222.0], [39.0, 222.0]], ('Sales Tx', 0.9047116041183472)], [[[149.0, 204.0], [227.0, 204.0], [227.0, 221.0], [149.0, 221.0]], ('0.75 Tax B', 0.9190963506698608)], [[[293.0, 201.0], [328.0, 198.0], [329.0, 216.0], [294.0, 219.0]], ('0.00', 0.9968765377998352)], [[[37.0, 224.0], [80.0, 221.0], [81.0, 240.0], [38.0, 242.0]], ('Tax C', 0.9061684608459473)], [[[150.0, 222.0], [229.0, 222.0], [229.0, 238.0], [150.0, 238.0]], ('0.00 Tax D', 0.9050205945968628)], [[[295.0, 218.0], [330.0, 218.0], [330.0, 235.0], [295.0, 235.0]], ('0.00', 0.9976495504379272)], [[[37.0, 241.0], [80.0, 239.0], [81.0, 258.0], [38.0, 260.0]], ('Tax E', 0.9104927182197571)], [[[150.0, 239.0], [229.0, 238.0], [229.0, 256.0], [151.0, 257.0]], ('0.00 Tax F', 0.9224897623062134)], [[[295.0, 236.0], [330.0, 236.0], [330.0, 254.0], [295.0, 254.0]], ('0.00', 0.9974794983863831)], [[[190.0, 258.0], [242.0, 258.0], [242.0, 274.0], [190.0, 274.0]], ('**TOTAL', 0.950554370880127)], [[[279.0, 255.0], [315.0, 255.0], [315.0, 273.0], [279.0, 273.0]], ('13.11', 0.9907187223434448)], [[[32.0, 278.0], [95.0, 278.0], [95.0, 296.0], [32.0, 296.0]], ('AMT TEND', 0.9619498252868652)], [[[139.0, 276.0], [251.0, 276.0], [251.0, 293.0], [139.0, 293.0]], ('20.00CHANGE DUE', 0.9272151589393616)], [[[281.0, 273.0], [316.0, 273.0], [316.0, 292.0], [281.0, 292.0]], ('6.89', 0.992962121963501)], [[[84.0, 314.0], [172.0, 311.0], [173.0, 332.0], [84.0, 334.0]], ('CHANGE DUE$', 0.9649648666381836)], [[[212.0, 312.0], [247.0, 312.0], [247.0, 331.0], [212.0, 331.0]], ('6.89', 0.9905783534049988)], [[[272.0, 477.0], [394.0, 478.0], [394.0, 494.0], [272.0, 493.0]], ('thisisbroken.com', 0.9950264096260071)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "05/05/07", "time": "18:45:41", "subtotal": "", "tax": "0.75 0.00 0.00 0.00 0.00 0.00", "total": "13.11", "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	[[[[182.0, 29.0], [527.0, 69.0], [523.0, 101.0], [178.0, 61.0]], ('TGIF DUBAI MALL', 0.9139787554740906)], [[[136.0, 59.0], [269.0, 85.0], [263.0, 114.0], [130.0, 88.0]], ('21JENNY J', 0.924264669418335)], [[[123.0, 100.0], [230.0, 125.0], [223.0, 155.0], [116.0, 130.0]], ('Tb144/1', 0.9462148547172546)], [[[324.0, 137.0], [425.0, 145.0], [423.0, 168.0], [322.0, 161.0]], ('Chk 1304', 0.9228339195251465)], [[[276.0, 158.0], [474.0, 173.0], [472.0, 196.0], [274.0, 181.0]], ('Nov260906:11PM', 0.8872058987617493)], [[[549.0, 155.0], [614.0, 159.0], [612.0, 186.0], [547.0, 182.0]], ('Gst 2', 0.763845682144165)], [[[166.0, 192.0], [327.0, 212.0], [324.0, 238.0], [163.0, 218.0]], ('Dining', 0.997338593006134)], [[[140.0, 216.0], [265.0, 232.0], [262.0, 257.0], [136.0, 240.0]], ('1 Ice tea', 0.9131050109863281)], [[[135.0, 241.0], [237.0, 253.0], [234.0, 279.0], [132.0, 268.0]], ('1PEPSI', 0.9814984202384949)], [[[537.0, 241.0], [602.0, 243.0], [601.0, 267.0], [536.0, 264.0]], ('12.00', 0.9880788922309875)], [[[542.0, 265.0], [610.0, 265.0], [610.0, 287.0], [542.0, 287.0]], ('11.00', 0.9967770576477051)], [[[545.0, 287.0], [615.0, 287.0], [615.0, 309.0], [545.0, 309.0]], ('39.00', 0.9969218373298645)], [[[160.0, 301.0], [222.0, 307.0], [220.0, 335.0], [157.0, 329.0]], ('info', 0.9965966939926147)], [[[127.0, 329.0], [395.0, 336.0], [394.0, 369.0], [126.0, 362.0]], ('1 FLAT LOBSTER Med', 0.9387709498405457)], [[[559.0, 333.0], [633.0, 333.0], [633.0, 359.0], [559.0, 359.0]], ('89.00', 0.9983137249946594)], [[[150.0, 394.0], [219.0, 397.0], [217.0, 429.0], [149.0, 426.0]], ('Food', 0.9980461001396179)], [[[562.0, 389.0], [647.0, 386.0], [648.0, 413.0], [562.0, 415.0]], ('151.00', 0.9970788359642029)], [[[583.0, 417.0], [658.0, 417.0], [658.0, 445.0], [583.0, 445.0]], ('15.10', 0.9957277178764343)], [[[148.0, 431.0], [263.0, 431.0], [263.0, 461.0], [148.0, 461.0]], ('Svc Chg', 0.9350327253341675)], [[[488.0, 453.0], [664.0, 447.0], [665.0, 475.0], [489.0, 481.0]], ('166.10', 0.9840731620788574)], [[[79.0, 463.0], [341.0, 460.0], [342.0, 492.0], [80.0, 495.0]], ('0718PM Amt.Due', 0.9432306885719299)], [[[138.0, 574.0], [226.0, 570.0], [227.0, 606.0], [140.0, 611.0]], ('TIP:', 0.9585586190223694)], [[[135.0, 655.0], [245.0, 653.0], [246.0, 691.0], [136.0, 694.0]], ('TOTAL:', 0.9847714900970459)], [[[131.0, 748.0], [697.0, 715.0], [699.0, 752.0], [134.0, 785.0]], ('EATDRINK & BE MERRY ATFRIDAYS', 0.938637912273407)]]	{"store_name": "TGIFDUBAIMALL", "store_addr": "", "telephone": "", "date": "Nov26'09", "time": "07:18PM", "subtotal": "151.00", "tax": "", "total": "166.10", "ignore": "", "tips": "15.10", "line_items": [{"item_key": "", "item_name": "Icetea", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PEPSI", "item_value": "11.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChknQusdNOONION*open", "item_value": "39.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FLATLOBSTERMed", "item_value": "89.00", "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	[[[[50.0, 127.0], [316.0, 116.0], [317.0, 143.0], [51.0, 153.0]], ("Sam's Club #4810", 0.9151344299316406)], [[[52.0, 153.0], [366.0, 140.0], [367.0, 166.0], [53.0, 180.0]], ('2994 Turner Hi 11 Rd', 0.8927270174026489)], [[[54.0, 181.0], [349.0, 167.0], [351.0, 194.0], [55.0, 208.0]], ('LithoniaGA 30038', 0.9730355143547058)], [[[64.0, 258.0], [366.0, 243.0], [368.0, 270.0], [65.0, 285.0]], ('Pump# 10 Regular11', 0.9212676286697388)], [[[304.0, 272.0], [398.0, 265.0], [400.0, 290.0], [306.0, 297.0]], ('14.934', 0.9960894584655762)], [[[66.0, 284.0], [181.0, 281.0], [182.0, 305.0], [67.0, 308.0]], ('Gallons', 0.9874072670936584)], [[[304.0, 298.0], [399.0, 290.0], [401.0, 314.0], [306.0, 322.0]], ('$3.349', 0.994591236114502)], [[[69.0, 310.0], [210.0, 302.0], [212.0, 326.0], [70.0, 335.0]], ('Price/Gal', 0.9722739458084106)], [[[292.0, 322.0], [385.0, 315.0], [386.0, 340.0], [293.0, 347.0]], ('$50.01', 0.9769584536552429)], [[[72.0, 335.0], [215.0, 327.0], [217.0, 351.0], [73.0, 359.0]], ('Fuel Sale', 0.9706848859786987)], [[[294.0, 368.0], [385.0, 361.0], [386.0, 385.0], [296.0, 392.0]], ('$50.01', 0.9522153735160828)], [[[78.0, 380.0], [173.0, 377.0], [174.0, 401.0], [79.0, 405.0]], ('Credit', 0.9983345866203308)], [[[81.0, 405.0], [116.0, 405.0], [116.0, 428.0], [81.0, 428.0]], ('WM', 0.9940332770347595)], [[[156.0, 404.0], [401.0, 384.0], [403.0, 407.0], [158.0, 427.0]], ('************0283', 0.8562328815460205)], [[[371.0, 411.0], [401.0, 408.0], [403.0, 429.0], [373.0, 432.0]], ('AA', 0.9976880550384521)], [[[83.0, 430.0], [161.0, 426.0], [162.0, 450.0], [84.0, 453.0]], ('Auth:', 0.9774221181869507)], [[[313.0, 436.0], [403.0, 429.0], [405.0, 453.0], [315.0, 460.0]], ('006945', 0.9980996251106262)], [[[85.0, 454.0], [192.0, 448.0], [194.0, 472.0], [87.0, 479.0]], ('Apprvl:', 0.940438449382782)], [[[94.0, 522.0], [331.0, 502.0], [333.0, 526.0], [96.0, 546.0]], ('02/06/1302:42PM', 0.9719027280807495)], [[[96.0, 564.0], [389.0, 538.0], [392.0, 565.0], [98.0, 591.0]], ('Member Tire Services', 0.9783087968826294)], [[[190.0, 582.0], [363.0, 564.0], [365.0, 585.0], [192.0, 599.0]], ('tional Value', 0.9616830945014954)]]	{"store_name": "Sam'sClub#4810", "store_addr": "2994TurnerHillRd Lithonia,GA30038", "telephone": "", "date": "02/06/13", "time": "02:42PM", "subtotal": "", "tax": "", "total": "$50.01 $50.01", "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	[[[[31.0, 106.0], [194.0, 105.0], [194.0, 120.0], [31.0, 121.0]], ('WINE BAR & RISIORANTE', 0.8758742809295654)], [[[71.0, 99.0], [154.0, 99.0], [154.0, 109.0], [71.0, 109.0]], ('GIOVANNIS', 0.9311407804489136)], [[[53.0, 127.0], [175.0, 126.0], [175.0, 137.0], [53.0, 138.0]], ('LONDON ECIY 2AA', 0.8696463704109192)], [[[62.0, 118.0], [159.0, 116.0], [159.0, 128.0], [62.0, 129.0]], ('12CITY ROAD', 0.8687379360198975)], [[[39.0, 138.0], [145.0, 136.0], [145.0, 146.0], [40.0, 148.0]], ('TEL020 7638', 0.9177589416503906)], [[[143.0, 136.0], [183.0, 136.0], [183.0, 146.0], [143.0, 146.0]], ('1324', 0.9953489899635315)], [[[30.0, 175.0], [128.0, 173.0], [129.0, 184.0], [30.0, 186.0]], ('Tabie No #19', 0.797899067401886)], [[[26.0, 204.0], [74.0, 204.0], [74.0, 215.0], [26.0, 215.0]], ('BIL MINERA', 0.8786718249320984)], [[[187.0, 199.0], [208.0, 199.0], [208.0, 210.0], [187.0, 210.0]], ('3.95', 0.9543579816818237)], [[[26.0, 216.0], [73.0, 216.0], [73.0, 227.0], [26.0, 227.0]], ('2x14.95', 0.9321183562278748)], [[[25.0, 227.0], [102.0, 224.0], [103.0, 237.0], [25.0, 240.0]], ('SET MENU 2 COURSE', 0.8458670377731323)], [[[184.0, 222.0], [210.0, 222.0], [210.0, 234.0], [184.0, 234.0]], ('0560', 0.5614385604858398)], [[[24.0, 239.0], [64.0, 237.0], [64.0, 249.0], [25.0, 251.0]], ('ESPRESSO', 0.9918651580810547)], [[[187.0, 234.0], [210.0, 234.0], [210.0, 246.0], [187.0, 246.0]], ('2.45', 0.9866911172866821)], [[[24.0, 250.0], [111.0, 247.0], [112.0, 261.0], [24.0, 264.0]], ('Disc.Service Charge', 0.8361909985542297)], [[[186.0, 246.0], [211.0, 243.0], [213.0, 258.0], [188.0, 261.0]], ('4.54', 0.9517289996147156)], [[[27.0, 275.0], [70.0, 275.0], [70.0, 286.0], [27.0, 286.0]], ('Total', 0.996025562286377)], [[[164.0, 270.0], [212.0, 268.0], [213.0, 281.0], [164.0, 283.0]], ('40.84', 0.994219958782196)], [[[23.0, 286.0], [152.0, 282.0], [152.0, 296.0], [23.0, 300.0]], ('2:47PM23/06/2016FRANCESC0', 0.929462730884552)], [[[201.0, 282.0], [214.0, 282.0], [214.0, 294.0], [201.0, 294.0]], ('88', 0.9655450582504272)], [[[24.0, 312.0], [69.0, 312.0], [69.0, 323.0], [24.0, 323.0]], ('RECEIPE1', 0.8978351354598999)], [[[24.0, 325.0], [217.0, 317.0], [218.0, 331.0], [24.0, 339.0]], ('THANK YOU FOR CALL ING', 0.9208967685699463)], [[[30.0, 338.0], [209.0, 332.0], [210.0, 345.0], [30.0, 351.0]], ('VAT NO:830 770046', 0.8512489795684814)], [[[53.0, 365.0], [185.0, 360.0], [185.0, 374.0], [54.0, 378.0]], ('eaSgiovannscltyroad.com', 0.8798908591270447)], [[[57.0, 379.0], [182.0, 375.0], [182.0, 388.0], [58.0, 392.0]], ('www.slovanniscltyroad.com', 0.8864786028862)]]	{"store_name": "GIOVANNI'S WINEBAR&RISTORANTE", "store_addr": "12CITYROAD LONDONECIY2AA", "telephone": "02076381324", "date": "23/06/2016", "time": "2:47PM", "subtotal": "", "tax": "", "total": "40.84", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ESPRESSO", "item_value": "3.55", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "29.90", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.45", "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	[[[[60.0, 117.0], [222.0, 123.0], [221.0, 155.0], [59.0, 149.0]], ("Nando's", 0.9780591726303101)], [[[82.0, 164.0], [200.0, 167.0], [200.0, 181.0], [82.0, 179.0]], ('VAT No662 8275 13', 0.9097840785980225)], [[[82.0, 181.0], [200.0, 181.0], [200.0, 194.0], [82.0, 194.0]], ('SevenoaksTN1310A', 0.9469342827796936)], [[[78.0, 195.0], [199.0, 195.0], [199.0, 209.0], [78.0, 209.0]], ('Telephone:01732462018', 0.9714438915252686)], [[[77.0, 209.0], [204.0, 209.0], [204.0, 223.0], [77.0, 223.0]], ('Your Order Number Is-', 0.9300032258033752)], [[[122.0, 237.0], [149.0, 237.0], [149.0, 252.0], [122.0, 252.0]], ('24', 0.999580979347229)], [[[18.0, 264.0], [71.0, 264.0], [71.0, 281.0], [18.0, 281.0]], ('HostJo', 0.9545505046844482)], [[[202.0, 264.0], [263.0, 261.0], [264.0, 276.0], [202.0, 280.0]], ('01/08/2017', 0.9969247579574585)], [[[20.0, 280.0], [35.0, 280.0], [35.0, 294.0], [20.0, 294.0]], ('24', 0.9968792200088501)], [[[215.0, 276.0], [264.0, 274.0], [265.0, 288.0], [216.0, 291.0]], ('1133AM', 0.9875372052192688)], [[[231.0, 289.0], [265.0, 289.0], [265.0, 304.0], [231.0, 304.0]], ('20005', 0.999260425567627)], [[[19.0, 307.0], [131.0, 307.0], [131.0, 321.0], [19.0, 321.0]], ('Order Type Eat In', 0.9467915892601013)], [[[19.0, 334.0], [111.0, 334.0], [111.0, 348.0], [19.0, 348.0]], ('Butterf ly Burger', 0.9294981956481934)], [[[233.0, 331.0], [265.0, 331.0], [265.0, 346.0], [233.0, 346.0]], ('12.60', 0.9721560478210449)], [[[39.0, 362.0], [153.0, 361.0], [153.0, 376.0], [39.0, 377.0]], ('Regular Creamy Mash', 0.9292377829551697)], [[[39.0, 377.0], [159.0, 376.0], [159.0, 390.0], [39.0, 391.0]], ('Regular Garlic Bread', 0.9272916913032532)], [[[16.0, 391.0], [95.0, 391.0], [95.0, 405.0], [16.0, 405.0]], ('Chicken Pitta', 0.9610512256622314)], [[[234.0, 388.0], [267.0, 388.0], [267.0, 403.0], [234.0, 403.0]], ('12.85', 0.9913991689682007)], [[[27.0, 406.0], [73.0, 406.0], [73.0, 420.0], [27.0, 420.0]], ('Double', 0.9158645272254944)], [[[40.0, 420.0], [86.0, 420.0], [86.0, 435.0], [40.0, 435.0]], ('PlainM', 0.8876829147338867)], [[[40.0, 434.0], [119.0, 433.0], [120.0, 448.0], [40.0, 449.0]], ('Regular Chips', 0.9806684255599976)], [[[40.0, 449.0], [137.0, 449.0], [137.0, 463.0], [40.0, 463.0]], ('Regular Coleslaw', 0.9581429958343506)], [[[15.0, 464.0], [79.0, 464.0], [79.0, 478.0], [15.0, 478.0]], ('Large Rice', 0.9591630697250366)], [[[239.0, 460.0], [267.0, 460.0], [267.0, 476.0], [239.0, 476.0]], ('4.55', 0.9901999235153198)], [[[14.0, 479.0], [49.0, 479.0], [49.0, 494.0], [14.0, 494.0]], ('Rubro', 0.9955853223800659)], [[[239.0, 475.0], [267.0, 475.0], [267.0, 491.0], [239.0, 491.0]], ('2.75', 0.9965795874595642)], [[[13.0, 522.0], [131.0, 520.0], [131.0, 534.0], [14.0, 536.0]], ('Rnd act of kindness', 0.9545677304267883)], [[[230.0, 516.0], [269.0, 518.0], [268.0, 537.0], [229.0, 534.0]], ('-32.75', 0.9165140986442566)], [[[35.0, 551.0], [66.0, 551.0], [66.0, 563.0], [35.0, 563.0]], ('tatal', 0.9201996922492981)], [[[241.0, 548.0], [266.0, 548.0], [266.0, 561.0], [241.0, 561.0]], ('0.00', 0.9303880929946899)], [[[15.0, 578.0], [159.0, 576.0], [159.0, 593.0], [15.0, 595.0]], ('Eat In Total', 0.9394524097442627)], [[[217.0, 578.0], [266.0, 578.0], [266.0, 592.0], [217.0, 592.0]], ('0.00', 0.9918816089630127)], [[[71.0, 623.0], [208.0, 623.0], [208.0, 637.0], [71.0, 637.0]], ('For allergen into visit', 0.8688274621963501)], [[[64.0, 639.0], [215.0, 638.0], [215.0, 652.0], [64.0, 653.0]], ('ww.nandos.co.uk/eat/menu', 0.9481731057167053)], [[[82.0, 668.0], [196.0, 668.0], [196.0, 681.0], [82.0, 681.0]], ('How was 1t for You?', 0.8447823524475098)], [[[54.0, 684.0], [224.0, 684.0], [224.0, 698.0], [54.0, 698.0]], ('See reverse.Your entry code', 0.9502025246620178)], [[[129.0, 698.0], [157.0, 698.0], [157.0, 713.0], [129.0, 713.0]], ('N385', 0.9967252612113953)], [[[5.0, 764.0], [76.0, 764.0], [76.0, 778.0], [5.0, 778.0]], ('Facebook', 0.9893528819084167)]]	{"store_name": "Nando's", "store_addr": "Sevenoaks-TN131DA", "telephone": "01732462018", "date": "01/08/2017", "time": "11:33AM", "subtotal": "", "tax": "", "total": "0.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ButterflyBurger", "item_value": "12.60", "item_quantity": "1"}, {"item_key": "", "item_name": "MediumM", "item_value": "12.85", "item_quantity": "1"}, {"item_key": "", "item_name": "RegularCreamyMash", "item_value": "4.55", "item_quantity": "1"}, {"item_key": "", "item_name": "RegularGarlicBread", "item_value": "2.75", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenPitta", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Double", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "PlainM", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "RegularChips", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "RegularColeslaw", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "LargeRice", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Rubro", "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	[[[[285.0, 57.0], [453.0, 61.0], [453.0, 75.0], [284.0, 72.0]], ('HARVEST STATION', 0.9575365781784058)], [[[305.0, 70.0], [444.0, 74.0], [444.0, 89.0], [305.0, 84.0]], ('17192MURPHY', 0.989315390586853)], [[[251.0, 82.0], [489.0, 88.0], [489.0, 104.0], [250.0, 99.0]], ('IRVINE.CA 92623-9998', 0.9557235836982727)], [[[157.0, 111.0], [273.0, 115.0], [272.0, 130.0], [156.0, 127.0]], ('12/11/2014', 0.9956384897232056)], [[[467.0, 117.0], [595.0, 119.0], [594.0, 137.0], [467.0, 134.0]], ('06:20:27AM', 0.9289461374282837)], [[[306.0, 169.0], [460.0, 171.0], [460.0, 189.0], [306.0, 186.0]], ('Sales Roceipt', 0.9347701668739319)], [[[150.0, 185.0], [236.0, 188.0], [235.0, 206.0], [149.0, 204.0]], ('Product', 0.9956160187721252)], [[[329.0, 188.0], [380.0, 191.0], [379.0, 210.0], [328.0, 207.0]], ('Sale', 0.9884817600250244)], [[[424.0, 191.0], [473.0, 191.0], [473.0, 209.0], [424.0, 209.0]], ('Unit', 0.9959286451339722)], [[[540.0, 193.0], [600.0, 193.0], [600.0, 211.0], [540.0, 211.0]], ('Final', 0.9894416928291321)], [[[148.0, 205.0], [285.0, 210.0], [284.0, 230.0], [147.0, 226.0]], ('Description', 0.9957830905914307)], [[[330.0, 208.0], [369.0, 212.0], [367.0, 232.0], [327.0, 228.0]], ('Qty', 0.9876694679260254)], [[[424.0, 209.0], [486.0, 212.0], [485.0, 231.0], [423.0, 229.0]], ('Price', 0.9968717694282532)], [[[541.0, 211.0], [603.0, 214.0], [602.0, 233.0], [540.0, 230.0]], ('Price', 0.997633159160614)], [[[147.0, 269.0], [367.0, 271.0], [366.0, 292.0], [147.0, 290.0]], ('ELPASOTX79906', 0.9631912708282471)], [[[542.0, 273.0], [606.0, 273.0], [606.0, 295.0], [542.0, 295.0]], ('$5.75', 0.9976433515548706)], [[[147.0, 291.0], [224.0, 294.0], [223.0, 313.0], [147.0, 310.0]], ('Zone-5', 0.9933658242225647)], [[[148.0, 313.0], [391.0, 316.0], [391.0, 334.0], [148.0, 332.0]], ('Priority Mail 2-Day', 0.9434340596199036)], [[[147.0, 336.0], [413.0, 338.0], [413.0, 355.0], [147.0, 354.0]], ('FR Env inc1udes $50.00', 0.9043193459510803)], [[[148.0, 358.0], [259.0, 361.0], [259.0, 378.0], [148.0, 376.0]], ('insurance', 0.9977127909660339)], [[[158.0, 379.0], [533.0, 382.0], [533.0, 403.0], [158.0, 400.0]], ('Expected Delivery Day Monday,', 0.9377126097679138)], [[[148.0, 403.0], [295.0, 403.0], [295.0, 421.0], [148.0, 421.0]], ('December 15.', 0.9534108638763428)], [[[159.0, 426.0], [389.0, 426.0], [389.0, 444.0], [159.0, 444.0]], ('%% Usps Tracking #', 0.8659231662750244)], [[[159.0, 448.0], [487.0, 448.0], [487.0, 466.0], [159.0, 466.0]], ('95055000 1382 43450000 11', 0.9382876753807068)], [[[146.0, 494.0], [317.0, 494.0], [317.0, 511.0], [146.0, 511.0]], ('Issue Postage:', 0.9657294154167175)], [[[549.0, 490.0], [613.0, 490.0], [613.0, 511.0], [549.0, 511.0]], ('$5.75', 0.9980539083480835)], [[[143.0, 538.0], [340.0, 538.0], [340.0, 555.0], [143.0, 555.0]], ('FOUNTAIN VALLEY,', 0.972270131111145)], [[[140.0, 559.0], [321.0, 559.0], [321.0, 580.0], [140.0, 580.0]], ('CA92708-5429', 0.9940668940544128)], [[[553.0, 556.0], [617.0, 556.0], [617.0, 575.0], [553.0, 575.0]], ('$5.75', 0.9923235177993774)], [[[138.0, 583.0], [216.0, 582.0], [216.0, 601.0], [139.0, 602.0]], ('Zone-1', 0.9933167099952698)], [[[136.0, 606.0], [395.0, 603.0], [395.0, 624.0], [137.0, 627.0]], ('Priority Mail 1-Dayn', 0.9200056195259094)], [[[136.0, 630.0], [421.0, 626.0], [421.0, 645.0], [137.0, 649.0]], ('FR Env includes $50.00', 0.922299325466156)], [[[137.0, 655.0], [255.0, 655.0], [255.0, 673.0], [137.0, 673.0]], ('insurance', 0.9980239868164062)], [[[146.0, 677.0], [575.0, 674.0], [575.0, 695.0], [146.0, 698.0]], ('Expected Delivery Day tomorrow,', 0.944379985332489)], [[[131.0, 703.0], [291.0, 700.0], [291.0, 721.0], [131.0, 724.0]], ('December 12.', 0.9681348204612732)], [[[142.0, 728.0], [397.0, 723.0], [398.0, 745.0], [142.0, 750.0]], ('%% usps Tracking #', 0.8411014080047607)], [[[140.0, 753.0], [506.0, 746.0], [506.0, 767.0], [141.0, 774.0]], ('9505 50001382 4345 0000 28', 0.9311217665672302)], [[[575.0, 796.0], [647.0, 796.0], [647.0, 822.0], [575.0, 822.0]], ('$5.75', 0.9972966909408569)], [[[125.0, 808.0], [316.0, 805.0], [317.0, 827.0], [125.0, 830.0]], ('Issue Postage:', 0.9695646166801453)], [[[119.0, 861.0], [205.0, 861.0], [205.0, 886.0], [119.0, 886.0]], ('Total:', 0.9600041508674622)], [[[568.0, 878.0], [655.0, 876.0], [655.0, 901.0], [568.0, 903.0]], ('$11.50', 0.9965724349021912)], [[[112.0, 949.0], [229.0, 949.0], [229.0, 974.0], [112.0, 974.0]], ('Paid by:', 0.8952812552452087)], [[[575.0, 964.0], [664.0, 960.0], [665.0, 986.0], [576.0, 990.0]], ('$11.50', 0.9970207810401917)], [[[111.0, 978.0], [172.0, 978.0], [172.0, 999.0], [111.0, 999.0]], ('VISA', 0.9977948665618896)]]	{"store_name": "HARVESTSIATION", "store_addr": "17192MURPHY IRVINE.CA92623-9998", "telephone": "", "date": "12/11/2014", "time": "06:20:27AM", "subtotal": "", "tax": "", "total": "$11.50 $11.50", "ignore": "", "tips": "", "line_items": [{"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	[[[[512.0, 37.0], [838.0, 67.0], [836.0, 93.0], [509.0, 63.0]], ('SAE MA EUL SETAPAK -BBQ', 0.9174764752388)], [[[439.0, 62.0], [894.0, 102.0], [892.0, 128.0], [437.0, 88.0]], ('G-17PV128,JALAN GENTING KELANG', 0.9528287649154663)], [[[477.0, 97.0], [846.0, 128.0], [844.0, 155.0], [474.0, 123.0]], ('SETAPAK,53300 KUALA LUMPUR', 0.9484835863113403)], [[[447.0, 124.0], [868.0, 161.0], [866.0, 190.0], [444.0, 153.0]], ('TEL:03-4141 695503-4141 6965', 0.9455151557922363)], [[[509.0, 162.0], [813.0, 188.0], [811.0, 217.0], [507.0, 191.0]], ('Techno Gardens Sdn Bhd', 0.9393470883369446)], [[[337.0, 208.0], [508.0, 224.0], [506.0, 254.0], [334.0, 238.0]], ('TABLE11', 0.9750600457191467)], [[[328.0, 270.0], [670.0, 302.0], [667.0, 329.0], [325.0, 296.0]], ('BILL NO:00102314/10P01', 0.9351022243499756)], [[[323.0, 298.0], [627.0, 330.0], [624.0, 356.0], [320.0, 325.0]], ('CASHIER: ADMINISTRATOR', 0.9499998092651367)], [[[316.0, 324.0], [751.0, 371.0], [748.0, 400.0], [313.0, 353.0]], ('BILL DT:31/05/2014 06:3140PM', 0.9308207631111145)], [[[346.0, 383.0], [531.0, 405.0], [528.0, 434.0], [343.0, 412.0]], ('SPICY BBQ SET', 0.9251435995101929)], [[[929.0, 389.0], [965.0, 389.0], [965.0, 422.0], [929.0, 422.0]], ('RM', 0.9959283471107483)], [[[334.0, 437.0], [465.0, 454.0], [461.0, 484.0], [330.0, 467.0]], ('SUB TOTAL', 0.9521164298057556)], [[[883.0, 440.0], [960.0, 448.0], [957.0, 475.0], [880.0, 467.0]], ('60.00', 0.9207758903503418)], [[[877.0, 491.0], [956.0, 498.0], [953.0, 530.0], [874.0, 522.0]], ('60.00', 0.9955463409423828)], [[[321.0, 517.0], [451.0, 532.0], [448.0, 563.0], [317.0, 548.0]], ('NET TOTAL', 0.9470021724700928)], [[[315.0, 546.0], [381.0, 554.0], [376.0, 587.0], [311.0, 578.0]], ('Cash', 0.9977187514305115)], [[[869.0, 548.0], [954.0, 557.0], [948.0, 614.0], [863.0, 604.0]], ('60.00', 0.9830937385559082)], [[[306.0, 601.0], [400.0, 611.0], [396.0, 647.0], [302.0, 637.0]], ('CHANGE', 0.9977416396141052)], [[[857.0, 602.0], [946.0, 612.0], [943.0, 643.0], [854.0, 634.0]], ('100.00', 0.9950539469718933)], [[[860.0, 636.0], [947.0, 643.0], [941.0, 706.0], [855.0, 698.0]], ('40.00', 0.9585037231445312)], [[[386.0, 715.0], [797.0, 756.0], [794.0, 790.0], [383.0, 749.0]], ('THANK YOU, PLEASE COME AGAIN', 0.9308868646621704)], [[[808.0, 750.0], [1173.0, 751.0], [1172.0, 776.0], [807.0, 775.0]], ('foodiliciousblog.wordpress.com', 0.9956457018852234)]]	{"store_name": "SAEMAEULSETAPAK-BBQ", "store_addr": "G-17,PV128,JALANGENTINGKELANG, SETAPAK,53300KUALALUMPUR", "telephone": "03-41416955,03-41416965", "date": "31/05/2014", "time": "06:31:40PM", "subtotal": "60.00", "tax": "", "total": "60.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SPICYBBQSET", "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	[[[[197.0, 21.0], [421.0, 7.0], [422.0, 26.0], [198.0, 41.0]], ('Member Card No:2001013971446', 0.9488864541053772)], [[[221.0, 39.0], [381.0, 29.0], [382.0, 47.0], [222.0, 57.0]], ('Card Expiry30/06/15', 0.9558482766151428)], [[[188.0, 74.0], [271.0, 74.0], [271.0, 91.0], [188.0, 91.0]], ('Description', 0.9894343018531799)], [[[392.0, 65.0], [442.0, 62.0], [443.0, 80.0], [394.0, 83.0]], ('Asount', 0.9416937232017517)], [[[414.0, 99.0], [465.0, 96.0], [466.0, 114.0], [415.0, 117.0]], ('2.09 T', 0.9212233424186707)], [[[191.0, 109.0], [344.0, 102.0], [345.0, 119.0], [192.0, 126.0]], ("Inone BP190 BP BL.6's", 0.8405293822288513)], [[[191.0, 125.0], [372.0, 119.0], [372.0, 136.0], [192.0, 142.0]], ('Kerana Aku Isteri Bid[BK]', 0.9283709526062012)], [[[406.0, 118.0], [465.0, 114.0], [466.0, 131.0], [407.0, 135.0]], ('27.00Z', 0.96830153465271)], [[[199.0, 141.0], [317.0, 138.0], [318.0, 155.0], [200.0, 158.0]], ('ENG-REBATE20%', 0.9593158960342407)], [[[408.0, 134.0], [448.0, 134.0], [448.0, 152.0], [408.0, 152.0]], ('-5.40', 0.984492301940918)], [[[195.0, 159.0], [372.0, 153.0], [372.0, 170.0], [196.0, 176.0]], ('Kau Punching Bagku -K[BK]', 0.9380845427513123)], [[[404.0, 153.0], [463.0, 151.0], [464.0, 168.0], [405.0, 170.0]], ('21.00Z', 0.9749452471733093)], [[[203.0, 175.0], [317.0, 171.0], [318.0, 187.0], [204.0, 192.0]], ('ENG-REBATE20%', 0.9677160978317261)], [[[407.0, 171.0], [446.0, 171.0], [446.0, 186.0], [407.0, 186.0]], ('-4.20', 0.989075779914856)], [[[197.0, 193.0], [326.0, 187.0], [327.0, 204.0], [198.0, 209.0]], ('Suamiku Workaholic', 0.9514048099517822)], [[[344.0, 188.0], [370.0, 188.0], [370.0, 202.0], [344.0, 202.0]], ('[BK]', 0.9647431969642639)], [[[405.0, 188.0], [463.0, 188.0], [463.0, 204.0], [405.0, 204.0]], ('27.00 Z', 0.9151440262794495)], [[[206.0, 209.0], [319.0, 203.0], [320.0, 218.0], [207.0, 224.0]], ('ENG-REBATE20%', 0.9491227865219116)], [[[407.0, 205.0], [445.0, 205.0], [445.0, 220.0], [407.0, 220.0]], ('-5.40', 0.9847468137741089)], [[[199.0, 225.0], [372.0, 217.0], [372.0, 234.0], [200.0, 242.0]], ('Pembancuh Kopi Mr Vam[BK]', 0.9054752588272095)], [[[404.0, 219.0], [463.0, 221.0], [462.0, 239.0], [403.0, 237.0]], ('25.00Z', 0.9485496878623962)], [[[206.0, 242.0], [320.0, 233.0], [321.0, 250.0], [207.0, 259.0]], ('ENG-REBATE20%', 0.9574459791183472)], [[[407.0, 239.0], [445.0, 239.0], [445.0, 254.0], [407.0, 254.0]], ('-5.00', 0.980366587638855)], [[[201.0, 259.0], [372.0, 247.0], [373.0, 264.0], [202.0, 276.0]], ('Dalas Dias Aku Terpik[BK]', 0.9328207969665527)], [[[405.0, 250.0], [461.0, 255.0], [460.0, 273.0], [403.0, 268.0]], ('30.00 Z', 0.9186328053474426)], [[[209.0, 275.0], [321.0, 265.0], [322.0, 282.0], [210.0, 292.0]], ('ENG-REBATE 20%', 0.9425451159477234)], [[[406.0, 267.0], [445.0, 271.0], [443.0, 289.0], [404.0, 285.0]], ('-6.00', 0.9384937286376953)], [[[206.0, 308.0], [349.0, 294.0], [351.0, 309.0], [207.0, 324.0]], ('Total RM Incl.of GST', 0.8927348852157593)], [[[402.0, 299.0], [444.0, 302.0], [443.0, 317.0], [400.0, 313.0]], ('60901', 0.8258463740348816)], [[[413.0, 314.0], [444.0, 317.0], [443.0, 332.0], [412.0, 329.0]], ('0.01', 0.9910514950752258)], [[[207.0, 325.0], [290.0, 314.0], [292.0, 331.0], [209.0, 342.0]], ('Roundins Adj', 0.938590943813324)], [[[403.0, 327.0], [446.0, 332.0], [444.0, 347.0], [401.0, 342.0]], ('106.10', 0.9378488659858704)], [[[209.0, 342.0], [266.0, 334.0], [268.0, 349.0], [211.0, 357.0]], ('Total RM', 0.9002252817153931)], [[[405.0, 341.0], [447.0, 347.0], [445.0, 362.0], [403.0, 356.0]], ('-50.00', 0.9881827235221863)], [[[210.0, 359.0], [285.0, 348.0], [287.0, 363.0], [212.0, 374.0]], ('Baucer Buku', 0.959398627281189)], [[[406.0, 355.0], [448.0, 361.0], [446.0, 376.0], [404.0, 370.0]], ('-50.00', 0.9842893481254578)], [[[211.0, 375.0], [286.0, 363.0], [288.0, 378.0], [214.0, 389.0]], ('Baucer Buku', 0.9512090682983398)], [[[411.0, 371.0], [447.0, 373.0], [446.0, 388.0], [410.0, 386.0]], ('-5.00', 0.9803954362869263)], [[[213.0, 390.0], [312.0, 373.0], [315.0, 390.0], [216.0, 406.0]], ('BBIN Pop Vouche', 0.8588991165161133)], [[[413.0, 384.0], [449.0, 388.0], [447.0, 403.0], [411.0, 399.0]], ('-2.00', 0.9858735799789429)], [[[215.0, 407.0], [245.0, 402.0], [248.0, 418.0], [218.0, 423.0]], ('Cash', 0.9956545829772949)], [[[418.0, 398.0], [449.0, 402.0], [447.0, 418.0], [416.0, 414.0]], ('0.80', 0.844807505607605)], [[[215.0, 423.0], [259.0, 414.0], [263.0, 431.0], [219.0, 440.0]], ('CHANGE', 0.9979129433631897)], [[[391.0, 438.0], [448.0, 441.0], [447.0, 456.0], [391.0, 453.0]], ('Tax (RM', 0.8007922172546387)], [[[438.0, 431.0], [447.0, 431.0], [447.0, 441.0], [438.0, 441.0]], ('6', 0.6844505071640015)], [[[219.0, 455.0], [285.0, 440.0], [289.0, 458.0], [223.0, 473.0]], ('Ites Count', 0.9380272626876831)], [[[301.0, 450.0], [372.0, 437.0], [375.0, 454.0], [304.0, 467.0]], ('Anount (RM)', 0.802562952041626)], [[[342.0, 459.0], [373.0, 453.0], [376.0, 468.0], [345.0, 473.0]], ('1.97', 0.9919076561927795)], [[[417.0, 453.0], [448.0, 455.0], [447.0, 471.0], [416.0, 468.0]], ('0.12', 0.9848036170005798)], [[[220.0, 472.0], [294.0, 455.0], [298.0, 473.0], [224.0, 490.0]], ('GST Sunnary', 0.844089925289154)], [[[334.0, 474.0], [373.0, 468.0], [376.0, 483.0], [336.0, 489.0]], ('104.00', 0.9146907925605774)], [[[417.0, 467.0], [449.0, 470.0], [448.0, 485.0], [416.0, 482.0]], ('0.00', 0.9910416007041931)], [[[220.0, 488.0], [266.0, 478.0], [269.0, 495.0], [224.0, 505.0]], ('T6%', 0.8354719281196594)], [[[222.0, 505.0], [266.0, 493.0], [271.0, 511.0], [226.0, 522.0]], ('Ze0%', 0.7291699647903442)], [[[256.0, 561.0], [321.0, 538.0], [328.0, 555.0], [262.0, 578.0]], ('THANK YOU.', 0.8666531443595886)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "106.09", "tax": "0.12 0.00", "total": "106.10", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "InoneBP190BPBL6's", "item_value": "2.09", "item_quantity": "1"}, {"item_key": "", "item_name": "KeranaAkuIsteriBid[BK]", "item_value": "27.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KauPunchingBagku-K[BK]", "item_value": "21.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SuamikuWorkaholic[BK]", "item_value": "27.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PeabancuhKopiMrVan[BK]", "item_value": "25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DalasDiamAkuTerpik[BK]", "item_value": "30.00", "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	[[[[84.0, 21.0], [159.0, 25.0], [158.0, 39.0], [83.0, 35.0]], ('Cafe Residenz A', 0.8002904653549194)], [[[91.0, 32.0], [154.0, 38.0], [153.0, 52.0], [90.0, 46.0]], ('Hofbackstube', 0.9204021096229553)], [[[96.0, 44.0], [151.0, 49.0], [150.0, 63.0], [95.0, 58.0]], ('Schorbrumn', 0.7767598628997803)], [[[82.0, 55.0], [159.0, 60.0], [158.0, 74.0], [81.0, 69.0]], ('Querfeld Gesath', 0.8424728512763977)], [[[55.0, 66.0], [189.0, 73.0], [189.0, 87.0], [55.0, 80.0]], ('Kavalierstrakt 52.1130 Wien', 0.8359026312828064)], [[[82.0, 79.0], [163.0, 84.0], [162.0, 97.0], [81.0, 92.0]], ('w.cafe-wien.at', 0.8184288740158081)], [[[21.0, 98.0], [100.0, 103.0], [100.0, 117.0], [20.0, 112.0]], ('RECHNUNG', 0.995682954788208)], [[[157.0, 106.0], [204.0, 106.0], [204.0, 121.0], [157.0, 121.0]], ('No88875', 0.8194344639778137)], [[[203.0, 148.0], [222.0, 148.0], [222.0, 169.0], [203.0, 169.0]], ('EUR', 0.9914291501045227)], [[[31.0, 161.0], [96.0, 163.0], [96.0, 177.0], [30.0, 175.0]], ('1 xBier 0.31', 0.8534025549888611)], [[[31.0, 173.0], [110.0, 176.0], [109.0, 190.0], [30.0, 187.0]], ('1x 1/8 Zweget', 0.8378639817237854)], [[[155.0, 165.0], [178.0, 165.0], [178.0, 180.0], [155.0, 180.0]], ('4.00', 0.8820168972015381)], [[[198.0, 165.0], [222.0, 165.0], [222.0, 180.0], [198.0, 180.0]], ('4,00', 0.9635385274887085)], [[[31.0, 185.0], [113.0, 186.0], [113.0, 200.0], [30.0, 199.0]], ('1xVos1.1t0331', 0.7679649591445923)], [[[155.0, 177.0], [179.0, 177.0], [179.0, 192.0], [155.0, 192.0]], ('4.50', 0.9228424429893494)], [[[199.0, 178.0], [221.0, 178.0], [221.0, 190.0], [199.0, 190.0]], ('4.50', 0.903531551361084)], [[[31.0, 196.0], [114.0, 199.0], [113.0, 213.0], [30.0, 210.0]], ('1xGrosser occa', 0.8347133994102478)], [[[154.0, 188.0], [179.0, 188.0], [179.0, 203.0], [154.0, 203.0]], ('4,00', 0.9138159155845642)], [[[198.0, 188.0], [222.0, 188.0], [222.0, 203.0], [198.0, 203.0]], ('4.00', 0.8980516791343689)], [[[30.0, 208.0], [114.0, 210.0], [114.0, 224.0], [29.0, 222.0]], ('1x Kleiner Mocca', 0.8423384428024292)], [[[155.0, 199.0], [178.0, 199.0], [178.0, 215.0], [155.0, 215.0]], ('4,90', 0.9662883877754211)], [[[198.0, 199.0], [222.0, 199.0], [222.0, 214.0], [198.0, 214.0]], ('460', 0.7094147801399231)], [[[154.0, 210.0], [178.0, 210.0], [178.0, 225.0], [154.0, 225.0]], ('35.0', 0.7825558185577393)], [[[197.0, 210.0], [222.0, 210.0], [222.0, 225.0], [197.0, 225.0]], ('3.50', 0.892718493938446)], [[[30.0, 220.0], [146.0, 222.0], [146.0, 236.0], [29.0, 234.0]], ('1x Apfelstruda] Vanille', 0.8000163435935974)], [[[153.0, 220.0], [178.0, 223.0], [176.0, 237.0], [151.0, 235.0]], ('1.00', 0.9245096445083618)], [[[196.0, 221.0], [221.0, 221.0], [221.0, 236.0], [196.0, 236.0]], ('7,00', 0.8955533504486084)], [[[30.0, 234.0], [93.0, 234.0], [93.0, 245.0], [30.0, 245.0]], ('1xBratwurst', 0.9176883697509766)], [[[152.0, 233.0], [177.0, 233.0], [177.0, 248.0], [152.0, 248.0]], ('13,50', 0.9776911735534668)], [[[193.0, 233.0], [221.0, 233.0], [221.0, 248.0], [193.0, 248.0]], ('13.50', 0.945000171661377)], [[[29.0, 245.0], [146.0, 245.0], [146.0, 258.0], [29.0, 258.0]], ('1 x Huhnerstreifen Saiat', 0.8785606026649475)], [[[151.0, 245.0], [176.0, 245.0], [176.0, 257.0], [151.0, 257.0]], ('13.50', 0.880591869354248)], [[[194.0, 242.0], [221.0, 245.0], [220.0, 260.0], [193.0, 257.0]], ('13,50', 0.8998988270759583)], [[[190.0, 273.0], [221.0, 273.0], [221.0, 298.0], [190.0, 298.0]], ('54,90', 0.9286800622940063)], [[[43.0, 283.0], [149.0, 283.0], [149.0, 296.0], [43.0, 296.0]], ('Rechnngs-Sunne in EUR', 0.8900229930877686)], [[[92.0, 311.0], [112.0, 311.0], [112.0, 323.0], [92.0, 323.0]], ('Satz', 0.8520795702934265)], [[[125.0, 312.0], [146.0, 312.0], [146.0, 323.0], [125.0, 323.0]], ('Netta', 0.9092522859573364)], [[[160.0, 311.0], [179.0, 311.0], [179.0, 323.0], [160.0, 323.0]], ('NiSt.', 0.7422908544540405)], [[[195.0, 312.0], [216.0, 312.0], [216.0, 324.0], [195.0, 324.0]], ('Suule', 0.5572761297225952)], [[[74.0, 322.0], [111.0, 322.0], [111.0, 336.0], [74.0, 336.0]], ('EUR10', 0.8748178482055664)], [[[124.0, 323.0], [145.0, 323.0], [145.0, 335.0], [124.0, 335.0]], ('30.91', 0.8039060831069946)], [[[162.0, 323.0], [181.0, 323.0], [181.0, 335.0], [162.0, 335.0]], ('3.09', 0.9122012853622437)], [[[196.0, 322.0], [221.0, 322.0], [221.0, 338.0], [196.0, 338.0]], ('34.00', 0.9445210695266724)], [[[75.0, 335.0], [109.0, 335.0], [109.0, 347.0], [75.0, 347.0]], ('EUR', 0.6624045372009277)], [[[124.0, 335.0], [146.0, 335.0], [146.0, 347.0], [124.0, 347.0]], ('17.42', 0.9593918919563293)], [[[163.0, 335.0], [181.0, 335.0], [181.0, 348.0], [163.0, 348.0]], ('3,48', 0.765764057636261)], [[[198.0, 335.0], [220.0, 335.0], [220.0, 348.0], [198.0, 348.0]], ('22,90', 0.8479930758476257)], [[[95.0, 368.0], [128.0, 371.0], [126.0, 390.0], [94.0, 387.0]], ('Bar:', 0.978905439376831)], [[[188.0, 365.0], [220.0, 365.0], [220.0, 390.0], [188.0, 390.0]], ('54,90', 0.9428893327713013)], [[[70.0, 404.0], [165.0, 403.0], [165.0, 417.0], [70.0, 418.0]], ('Tip is not included', 0.9426799416542053)]]	{"store_name": "", "store_addr": "Schonbrum", "telephone": "", "date": "", "time": "", "subtotal": "54.90", "tax": "", "total": "54.90", "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, 13.0], [149.0, 13.0], [149.0, 27.0], [110.0, 27.0]], ('Laiola', 0.9529598355293274)], [[[79.0, 26.0], [170.0, 25.0], [170.0, 39.0], [79.0, 40.0]], ('2031 Chestnut St', 0.962921142578125)], [[[63.0, 39.0], [195.0, 39.0], [195.0, 53.0], [63.0, 53.0]], ('San FranciscoCA 94123', 0.949188232421875)], [[[97.0, 54.0], [162.0, 54.0], [162.0, 64.0], [97.0, 64.0]], ('415-346-5641', 0.9872854351997375)], [[[17.0, 81.0], [91.0, 81.0], [91.0, 92.0], [17.0, 92.0]], ('Server: Shamsi', 0.8974683880805969)], [[[160.0, 78.0], [244.0, 78.0], [244.0, 92.0], [160.0, 92.0]], ('DOB:02/10/2008', 0.9548505544662476)], [[[16.0, 93.0], [63.0, 93.0], [63.0, 106.0], [16.0, 106.0]], ('09:57PM', 0.9036952257156372)], [[[186.0, 92.0], [243.0, 92.0], [243.0, 105.0], [186.0, 105.0]], ('02/10/2008', 0.9893184900283813)], [[[16.0, 106.0], [72.0, 106.0], [72.0, 120.0], [16.0, 120.0]], ('Table 11/1', 0.936249852180481)], [[[203.0, 105.0], [244.0, 105.0], [244.0, 119.0], [203.0, 119.0]], ('1/10036', 0.9405249357223511)], [[[17.0, 135.0], [72.0, 135.0], [72.0, 146.0], [17.0, 146.0]], ('Mastercard', 0.991674542427063)], [[[202.0, 132.0], [250.0, 132.0], [250.0, 146.0], [202.0, 146.0]], ('1048601', 0.9891194105148315)], [[[14.0, 147.0], [123.0, 145.0], [123.0, 159.0], [15.0, 160.0]], ('Card#xxxxxxxxxxX', 0.6552392840385437)], [[[14.0, 160.0], [198.0, 158.0], [199.0, 172.0], [15.0, 174.0]], ('Magnetic card presentSETHI RAMIT', 0.9472434520721436)], [[[16.0, 174.0], [103.0, 173.0], [103.0, 186.0], [16.0, 188.0]], ('Approval:064746', 0.9252544045448303)], [[[122.0, 200.0], [163.0, 200.0], [163.0, 214.0], [122.0, 214.0]], ('Anount:', 0.9420957565307617)], [[[210.0, 199.0], [254.0, 199.0], [254.0, 214.0], [210.0, 214.0]], ('36.35', 0.9181486368179321)], [[[126.0, 227.0], [162.0, 227.0], [162.0, 240.0], [126.0, 240.0]], ('+Tip', 0.9523415565490723)], [[[206.0, 219.0], [245.0, 223.0], [243.0, 242.0], [204.0, 238.0]], ('1.00', 0.886601984500885)], [[[115.0, 253.0], [161.0, 253.0], [161.0, 268.0], [115.0, 268.0]], ('=Total:', 0.912329375743866)], [[[186.0, 248.0], [244.0, 250.0], [244.0, 268.0], [185.0, 265.0]], ('43.35', 0.9077151417732239)], [[[57.0, 320.0], [200.0, 320.0], [200.0, 333.0], [57.0, 333.0]], ('Looking for a great dining', 0.9505266547203064)], [[[72.0, 334.0], [197.0, 334.0], [197.0, 347.0], [72.0, 347.0]], ('experience downtown?', 0.9440811276435852)], [[[51.0, 347.0], [203.0, 346.0], [203.0, 359.0], [51.0, 360.0]], ('Check out Frisson our other', 0.9388905763626099)], [[[48.0, 360.0], [205.0, 360.0], [205.0, 373.0], [48.0, 373.0]], ('restaurant,at 244 Jackson St', 0.9447425603866577)], [[[52.0, 373.0], [204.0, 373.0], [204.0, 387.0], [52.0, 387.0]], ('Thank you for dining with us', 0.9377561807632446)], [[[79.0, 399.0], [171.0, 399.0], [171.0, 412.0], [79.0, 412.0]], ('Customer Copy', 0.9429725408554077)]]	{"store_name": "Laiola", "store_addr": "2031ChestnutSt. SanFrancisco,CA94123", "telephone": "415-346-5641", "date": "02/10/2008 02/10/2008", "time": "09:57PM", "subtotal": "36.35", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Magneticcardpresent:SETHIRAMIT", "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	[[[[73.0, 62.0], [175.0, 64.0], [175.0, 77.0], [73.0, 76.0]], ('HAPPY LIQUOR', 0.9499976634979248)], [[[78.0, 84.0], [173.0, 84.0], [173.0, 97.0], [78.0, 97.0]], ('LONGBEACHCA93306', 0.8692405819892883)], [[[87.0, 75.0], [162.0, 75.0], [162.0, 87.0], [87.0, 87.0]], ('2201HAGNOLIA AVE', 0.9144974946975708)], [[[56.0, 102.0], [143.0, 104.0], [142.0, 117.0], [56.0, 116.0]], ('DATE 12/30/2016FRI', 0.9073102474212646)], [[[95.0, 95.0], [161.0, 95.0], [161.0, 105.0], [95.0, 105.0]], ('562)595-8044', 0.9361445307731628)], [[[138.0, 105.0], [192.0, 105.0], [192.0, 115.0], [138.0, 115.0]], ('E2157', 0.9537726640701294)], [[[56.0, 125.0], [112.0, 125.0], [112.0, 136.0], [56.0, 136.0]], ('SROC-NONTAX.F', 0.9126322269439697)], [[[163.0, 124.0], [194.0, 124.0], [194.0, 138.0], [163.0, 138.0]], ('$10.75', 0.9775472283363342)], [[[56.0, 135.0], [102.0, 135.0], [102.0, 146.0], [56.0, 146.0]], ('TAXABLE T1', 0.8828505277633667)], [[[168.0, 136.0], [195.0, 136.0], [195.0, 148.0], [168.0, 148.0]], ('$5.99', 0.9281796216964722)], [[[54.0, 146.0], [112.0, 146.0], [112.0, 156.0], [54.0, 156.0]], ('GROC-NONTAX F', 0.9391648173332214)], [[[54.0, 155.0], [74.0, 155.0], [74.0, 167.0], [54.0, 167.0]], ('TAX1', 0.8798264265060425)], [[[168.0, 146.0], [195.0, 146.0], [195.0, 159.0], [168.0, 159.0]], ('$0.10', 0.9690995216369629)], [[[53.0, 165.0], [77.0, 167.0], [75.0, 179.0], [51.0, 176.0]], ('TOTAL', 0.9957512021064758)], [[[168.0, 157.0], [193.0, 157.0], [193.0, 169.0], [168.0, 169.0]], ('$0.57', 0.9891694784164429)], [[[52.0, 178.0], [74.0, 178.0], [74.0, 189.0], [52.0, 189.0]], ('CASH', 0.9974024295806885)], [[[165.0, 169.0], [193.0, 169.0], [193.0, 180.0], [165.0, 180.0]], ('$17.41', 0.9846999645233154)], [[[50.0, 188.0], [82.0, 188.0], [82.0, 201.0], [50.0, 201.0]], ('CHANGE', 0.9955632090568542)], [[[164.0, 179.0], [195.0, 179.0], [195.0, 192.0], [164.0, 192.0]], ('$20.00', 0.9863219261169434)], [[[49.0, 198.0], [85.0, 200.0], [84.0, 214.0], [49.0, 212.0]], ('CLERK1', 0.9581871032714844)], [[[169.0, 191.0], [196.0, 191.0], [196.0, 204.0], [169.0, 204.0]], ('$2.59', 0.9900434613227844)], [[[129.0, 202.0], [162.0, 202.0], [162.0, 213.0], [129.0, 213.0]], ('000290', 0.9810594916343689)], [[[168.0, 202.0], [195.0, 202.0], [195.0, 213.0], [168.0, 213.0]], ('00000', 0.9334510564804077)]]	{"store_name": "HAPPYLIQUOR", "store_addr": "", "telephone": "", "date": "12/30/2016FRI", "time": "21:57", "subtotal": "$10.75", "tax": "$0.57 $0.10 $5.59", "total": "$17.41", "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	[[[[153.0, 109.0], [484.0, 115.0], [483.0, 167.0], [152.0, 161.0]], ('Walmart', 0.9442615509033203)], [[[319.0, 199.0], [409.0, 209.0], [407.0, 228.0], [317.0, 217.0]], ('Walnart', 0.985866129398346)], [[[255.0, 211.0], [481.0, 235.0], [478.0, 256.0], [252.0, 233.0]], ('MANAGER KEN SCHATZ', 0.9399543404579163)], [[[257.0, 230.0], [480.0, 255.0], [477.0, 277.0], [254.0, 252.0]], ('336992-2343', 0.9741630554199219)], [[[117.0, 254.0], [604.0, 307.0], [601.0, 330.0], [114.0, 277.0]], ('ST#27930P 00002150TE#03 TR06771', 0.9393085241317749)], [[[263.0, 253.0], [467.0, 275.0], [465.0, 294.0], [261.0, 271.0]], ('KERNERSUILLE,NC', 0.9587299823760986)], [[[113.0, 275.0], [261.0, 293.0], [258.0, 313.0], [110.0, 295.0]], ('MINUTE MAID', 0.9651008248329163)], [[[109.0, 295.0], [259.0, 313.0], [256.0, 334.0], [106.0, 317.0]], ('MINUTE MAID', 0.9755251407623291)], [[[287.0, 295.0], [470.0, 315.0], [467.0, 336.0], [284.0, 317.0]], ('002500000500F', 0.9961062073707581)], [[[105.0, 316.0], [257.0, 334.0], [254.0, 356.0], [102.0, 337.0]], ('AXEDTSG1.7Z', 0.9316368103027344)], [[[285.0, 316.0], [469.0, 336.0], [466.0, 358.0], [282.0, 337.0]], ('002500000500F', 0.994830846786499)], [[[530.0, 320.0], [607.0, 329.0], [604.0, 351.0], [527.0, 342.0]], ('2.98R', 0.9878929257392883)], [[[281.0, 337.0], [439.0, 353.0], [437.0, 374.0], [279.0, 357.0]], ('001111103991', 0.9956488609313965)], [[[530.0, 340.0], [587.0, 348.0], [584.0, 369.0], [527.0, 361.0]], ('2.98', 0.9969470500946045)], [[[97.0, 356.0], [265.0, 377.0], [262.0, 398.0], [94.0, 377.0]], ('COUPN 25000', 0.9610758423805237)], [[[348.0, 363.0], [448.0, 376.0], [445.0, 394.0], [345.0, 382.0]], ('SUBTOTAI', 0.9492527842521667)], [[[529.0, 361.0], [584.0, 366.0], [583.0, 384.0], [528.0, 379.0]], ('0.97', 0.9879511594772339)], [[[93.0, 378.0], [262.0, 399.0], [259.0, 420.0], [90.0, 399.0]], ('COUPON11111', 0.9581078886985779)], [[[276.0, 376.0], [465.0, 398.0], [462.0, 419.0], [273.0, 398.0]], ('052500023282F', 0.9895287156105042)], [[[532.0, 375.0], [584.0, 382.0], [581.0, 403.0], [529.0, 397.0]], ('6.93', 0.9904326796531677)], [[[89.0, 401.0], [262.0, 422.0], [259.0, 443.0], [86.0, 422.0]], ('COUPON 25000', 0.9350487589836121)], [[[275.0, 399.0], [438.0, 417.0], [435.0, 438.0], [272.0, 419.0]], ('051111199278', 0.9966203570365906)], [[[532.0, 396.0], [611.0, 405.0], [608.0, 428.0], [529.0, 418.0]], ('2.00-0', 0.9911677837371826)], [[[272.0, 421.0], [465.0, 443.0], [462.0, 464.0], [269.0, 442.0]], ('052500023282F', 0.9943445920944214)], [[[534.0, 418.0], [613.0, 429.0], [610.0, 450.0], [531.0, 439.0]], ('1.50-0', 0.9833288192749023)], [[[534.0, 439.0], [614.0, 449.0], [611.0, 471.0], [531.0, 462.0]], ('2.00-0', 0.9934486746788025)], [[[343.0, 450.0], [449.0, 464.0], [446.0, 487.0], [340.0, 473.0]], ('SUBTOTAL', 0.9958539009094238)], [[[208.0, 461.0], [284.0, 467.0], [282.0, 492.0], [206.0, 486.0]], ('TAX 1', 0.8995214700698853)], [[[535.0, 462.0], [590.0, 467.0], [587.0, 490.0], [532.0, 485.0]], ('1.43', 0.9977589249610901)], [[[326.0, 472.0], [424.0, 486.0], [421.0, 507.0], [323.0, 493.0]], ('6.750%', 0.9651018977165222)], [[[206.0, 485.0], [284.0, 491.0], [282.0, 517.0], [204.0, 511.0]], ('TAX2', 0.993339478969574)], [[[323.0, 495.0], [424.0, 508.0], [421.0, 532.0], [320.0, 519.0]], ('2.000%', 0.9943121075630188)], [[[534.0, 486.0], [590.0, 490.0], [589.0, 512.0], [533.0, 509.0]], ('0.07', 0.9985125660896301)], [[[534.0, 509.0], [594.0, 513.0], [592.0, 538.0], [532.0, 534.0]], ('0.12', 0.9981092810630798)], [[[380.0, 529.0], [447.0, 536.0], [444.0, 558.0], [377.0, 551.0]], ('TOTAL', 0.9973138570785522)], [[[306.0, 543.0], [451.0, 558.0], [448.0, 583.0], [303.0, 567.0]], ('CASH TEND', 0.953606367111206)], [[[535.0, 535.0], [594.0, 535.0], [594.0, 561.0], [535.0, 561.0]], ('1.62', 0.9940575361251831)], [[[304.0, 568.0], [451.0, 583.0], [448.0, 607.0], [301.0, 592.0]], ('CHANGE DUE', 0.9674472808837891)], [[[536.0, 562.0], [595.0, 562.0], [595.0, 587.0], [536.0, 587.0]], ('1.62', 0.9948168992996216)], [[[111.0, 596.0], [536.0, 638.0], [532.0, 683.0], [107.0, 641.0]], ('#ITEMS SOLD3', 0.9449319839477539)], [[[535.0, 589.0], [596.0, 589.0], [596.0, 616.0], [535.0, 616.0]], ('0.00', 0.9987869262695312)], [[[102.0, 662.0], [547.0, 701.0], [544.0, 734.0], [99.0, 696.0]], ('TC#6280 6575438264762455', 0.9708454012870789)], [[[143.0, 869.0], [284.0, 871.0], [284.0, 904.0], [143.0, 901.0]], ('10/20/11', 0.9976369738578796)], [[[370.0, 873.0], [509.0, 876.0], [508.0, 908.0], [369.0, 904.0]], ('09:20:42', 0.9408422708511353)]]	{"store_name": "Walmart Walmart", "store_addr": "KERNERSVILLE.NC", "telephone": "(336)992-2343", "date": "10/20/11", "time": "09:20:42", "subtotal": "1.43", "tax": "0.07 0.12", "total": "1.62", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "MINUTEMAID", "item_value": "2.98", "item_quantity": "1"}, {"item_key": "", "item_name": "MINUTEMAID", "item_value": "2.98", "item_quantity": "1"}, {"item_key": "", "item_name": "AXEDTSG1.7Z", "item_value": "0.97", "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	[[[[205.0, 0.0], [305.0, 7.0], [302.0, 44.0], [202.0, 35.0]], ('VISA', 0.9951550364494324)], [[[95.0, 57.0], [227.0, 65.0], [226.0, 79.0], [94.0, 71.0]], ('Khansama Tandoori', 0.9541630744934082)], [[[118.0, 70.0], [199.0, 76.0], [198.0, 90.0], [117.0, 84.0]], ('Restaurant', 0.9965697526931763)], [[[69.0, 87.0], [175.0, 94.0], [174.0, 107.0], [68.0, 100.0]], ('166 Serangoon Road', 0.9633395671844482)], [[[69.0, 97.0], [202.0, 103.0], [201.0, 116.0], [69.0, 110.0]], ('Junction of Norris Road', 0.9388557076454163)], [[[67.0, 114.0], [197.0, 120.0], [196.0, 134.0], [66.0, 128.0]], ('GST RegNo52942959D', 0.9449552893638611)], [[[68.0, 123.0], [153.0, 127.0], [152.0, 140.0], [68.0, 136.0]], ('Te1:62990300', 0.9397692680358887)], [[[66.0, 133.0], [216.0, 138.0], [216.0, 151.0], [66.0, 147.0]], ('website:www.khansama.net', 0.9608263969421387)], [[[67.0, 141.0], [243.0, 147.0], [243.0, 161.0], [66.0, 156.0]], ('Email:[email protected]', 0.9543396234512329)], [[[66.0, 161.0], [193.0, 165.0], [193.0, 179.0], [65.0, 175.0]], ('Receipt No.00085390', 0.9747694730758667)], [[[65.0, 180.0], [132.0, 182.0], [131.0, 195.0], [64.0, 193.0]], ('Table:A18', 0.9452307820320129)], [[[63.0, 190.0], [215.0, 192.0], [215.0, 205.0], [62.0, 203.0]], ('Date&t1me:12-03-1714:47', 0.8962749242782593)], [[[64.0, 199.0], [146.0, 201.0], [146.0, 212.0], [63.0, 210.0]], ('Cashier:up pos', 0.8529706597328186)], [[[79.0, 224.0], [164.0, 227.0], [164.0, 241.0], [79.0, 238.0]], ('Mineral water', 0.9636923670768738)], [[[80.0, 215.0], [158.0, 217.0], [157.0, 230.0], [80.0, 228.0]], ('Tiger Bottle', 0.9653275012969971)], [[[232.0, 216.0], [267.0, 216.0], [267.0, 245.0], [232.0, 245.0]], ('8.60', 0.5821143388748169)], [[[79.0, 234.0], [188.0, 235.0], [188.0, 249.0], [79.0, 248.0]], ('Mixed Tikka 5 pcs', 0.9148308634757996)], [[[232.0, 235.0], [265.0, 237.0], [264.0, 252.0], [231.0, 250.0]], ('16.00', 0.9961609840393066)], [[[80.0, 245.0], [172.0, 245.0], [172.0, 258.0], [80.0, 258.0]], ('Pepper Chicken', 0.9711278676986694)], [[[79.0, 255.0], [188.0, 256.0], [188.0, 267.0], [79.0, 266.0]], ('GarlicButter Naan', 0.9727471470832825)], [[[232.0, 246.0], [266.0, 246.0], [266.0, 260.0], [232.0, 260.0]], ('12.50', 0.991733193397522)], [[[239.0, 255.0], [267.0, 255.0], [267.0, 270.0], [239.0, 270.0]], ('4.50', 0.9885467886924744)], [[[79.0, 265.0], [164.0, 265.0], [164.0, 278.0], [79.0, 278.0]], ('Tandoori Roti', 0.957939088344574)], [[[240.0, 264.0], [268.0, 267.0], [267.0, 282.0], [239.0, 279.0]], ('4.00', 0.9952341318130493)], [[[77.0, 274.0], [177.0, 276.0], [177.0, 289.0], [77.0, 287.0]], ('Tiger Draft Mug', 0.9583680033683777)], [[[240.0, 275.0], [269.0, 275.0], [269.0, 289.0], [240.0, 289.0]], ('6.50', 0.993647575378418)], [[[142.0, 295.0], [202.0, 295.0], [202.0, 309.0], [142.0, 309.0]], ('Sub-Total', 0.9826669692993164)], [[[161.0, 304.0], [203.0, 307.0], [202.0, 321.0], [160.0, 318.0]], ('7%GST', 0.9089919924736023)], [[[237.0, 295.0], [270.0, 295.0], [270.0, 309.0], [237.0, 309.0]], ('54.00', 0.9935092926025391)], [[[241.0, 306.0], [272.0, 306.0], [272.0, 320.0], [241.0, 320.0]], ('3.78', 0.9945420026779175)], [[[122.0, 317.0], [203.0, 317.0], [203.0, 330.0], [122.0, 330.0]], ('Round Adjust', 0.9873844981193542)], [[[243.0, 317.0], [272.0, 317.0], [272.0, 331.0], [243.0, 331.0]], ('0.02', 0.9967213869094849)], [[[56.0, 337.0], [101.0, 340.0], [100.0, 355.0], [55.0, 352.0]], ('15:46', 0.9504040479660034)], [[[148.0, 341.0], [190.0, 341.0], [190.0, 355.0], [148.0, 355.0]], ('TOTAL', 0.9987211227416992)], [[[230.0, 339.0], [272.0, 339.0], [272.0, 354.0], [230.0, 354.0]], ('57.80', 0.9968908429145813)], [[[55.0, 382.0], [220.0, 381.0], [220.0, 392.0], [55.0, 393.0]], ('Branches:Sc1ence Park 67760300', 0.9363725781440735)], [[[71.0, 391.0], [200.0, 391.0], [200.0, 401.0], [71.0, 401.0]], ('Islandwide Home Delivery', 0.8968459963798523)], [[[108.0, 398.0], [180.0, 398.0], [180.0, 408.0], [108.0, 408.0]], ('Te1:62990300', 0.922554075717926)]]	{"store_name": "KhasamaTandoori Restaurant", "store_addr": "166SerangoonRoad JunctionofNorrisRoad Singapore218050", "telephone": "62990300 52990300", "date": "12-03-17", "time": "14:47 15:46", "subtotal": "54.00", "tax": "3.78", "total": "57.80", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "TigerBottle", "item_value": "8.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Mineralwater", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MixedTikka5pcs", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PepperChicken", "item_value": "12.50", "item_quantity": "1"}, {"item_key": "", "item_name": "GarlicButterNaan", "item_value": "4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "TandooriRoti", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TigerDraftMug", "item_value": "6.50", "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	[[[[298.0, 0.0], [312.0, 0.0], [312.0, 13.0], [298.0, 13.0]], ('$', 0.9668010473251343)], [[[25.0, 15.0], [170.0, 15.0], [170.0, 28.0], [25.0, 28.0]], ('BEGA BLOCKTASTY 1KG', 0.9345717430114746)], [[[285.0, 13.0], [317.0, 13.0], [317.0, 28.0], [285.0, 28.0]], ('8.00', 0.997827410697937)], [[[26.0, 30.0], [201.0, 30.0], [201.0, 42.0], [26.0, 42.0]], ('%COLES BROWNIE 5OOML 50OML', 0.8716217279434204)], [[[283.0, 28.0], [316.0, 28.0], [316.0, 42.0], [283.0, 42.0]], ('4.00', 0.99685138463974)], [[[25.0, 44.0], [217.0, 42.0], [217.0, 55.0], [26.0, 57.0]], ('COLES BEANS RED KIDN 4OOGRAM', 0.9070003628730774)], [[[283.0, 42.0], [315.0, 42.0], [315.0, 57.0], [283.0, 57.0]], ('1.50', 0.9961181879043579)], [[[97.0, 58.0], [274.0, 58.0], [274.0, 71.0], [97.0, 71.0]], ('Quantity:2 $0.75 each', 0.9317189455032349)], [[[28.0, 72.0], [217.0, 72.0], [217.0, 85.0], [28.0, 85.0]], ('ZOOSH MAYONNAISE:LEM 350GRAM', 0.9081335663795471)], [[[282.0, 71.0], [314.0, 71.0], [314.0, 85.0], [282.0, 85.0]], ('2.24', 0.9882779121398926)], [[[25.0, 85.0], [211.0, 85.0], [211.0, 97.0], [25.0, 97.0]], ('XCOLES SANDWICH BAG 1OOPACK', 0.9110138416290283)], [[[284.0, 85.0], [316.0, 85.0], [316.0, 99.0], [284.0, 99.0]], ('3.80', 0.9891430735588074)], [[[22.0, 96.0], [177.0, 97.0], [177.0, 111.0], [22.0, 110.0]], ('%NIVEA DE0DORANT 250ML', 0.8873276114463806)], [[[286.0, 98.0], [319.0, 98.0], [319.0, 113.0], [286.0, 113.0]], ('3.29', 0.9898972511291504)], [[[18.0, 110.0], [227.0, 111.0], [227.0, 125.0], [18.0, 124.0]], ('%NIVEA LIPCARE:ESSEN 4.8GRAM', 0.9195721745491028)], [[[289.0, 113.0], [320.0, 113.0], [320.0, 128.0], [289.0, 128.0]], ('4.00', 0.9974580407142639)], [[[92.0, 125.0], [176.0, 128.0], [175.0, 142.0], [91.0, 139.0]], ('Quantity:', 0.9049692153930664)], [[[175.0, 127.0], [282.0, 128.0], [282.0, 142.0], [174.0, 141.0]], ('2$2.00 each', 0.9549346566200256)], [[[14.0, 140.0], [112.0, 142.0], [112.0, 156.0], [14.0, 153.0]], ('BANANAS PERKG', 0.9656795859336853)], [[[293.0, 144.0], [325.0, 144.0], [325.0, 160.0], [293.0, 160.0]], ('1.31', 0.9939897060394287)], [[[100.0, 156.0], [276.0, 160.0], [275.0, 176.0], [100.0, 173.0]], ('0.657 kg NET $2.00/kg', 0.9363779425621033)], [[[9.0, 189.0], [148.0, 192.0], [148.0, 208.0], [9.0, 205.0]], ('Total for 10 items', 0.8994850516319275)], [[[281.0, 193.0], [330.0, 193.0], [330.0, 211.0], [281.0, 211.0]], ('$28.14', 0.996300995349884)], [[[10.0, 208.0], [60.0, 208.0], [60.0, 223.0], [10.0, 223.0]], ('EFTPOS', 0.9945456385612488)], [[[289.0, 212.0], [330.0, 212.0], [330.0, 226.0], [289.0, 226.0]], ('28.14', 0.9962570071220398)], [[[9.0, 225.0], [169.0, 225.0], [169.0, 242.0], [9.0, 242.0]], ('GST INCLUDED IN TOTAL', 0.9511541724205017)], [[[289.0, 228.0], [332.0, 228.0], [332.0, 246.0], [289.0, 246.0]], ('$1.37', 0.9983270764350891)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "$28.14 28.14", "tax": "$1.37", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BEGABLOCKTASTY1KG", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "%COLESBROWNIE500ML500ML", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "COLESBEANSREDKIDN400GRAM", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "200SHMAYONNAISE:LEM350GRAM", "item_value": "2.24", "item_quantity": "1"}, {"item_key": "", "item_name": "%COLESSANDWICHBAG100PACK", "item_value": "3.80", "item_quantity": "1"}, {"item_key": "", "item_name": "%NIVEADEODORANT250ML", "item_value": "3.29", "item_quantity": "1"}, {"item_key": "", "item_name": "%NIVEALIPCARE:ESSEN4.8GRAM", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BANANASPERKG", "item_value": "1.31", "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	[[[[201.0, 142.0], [605.0, 145.0], [605.0, 174.0], [201.0, 171.0]], ('CIRCLEKYIETNAM', 0.9433513283729553)], [[[114.0, 190.0], [696.0, 195.0], [696.0, 224.0], [114.0, 219.0]], ('273LeThanhTon.Dist.1.HCM', 0.8879312872886658)], [[[23.0, 250.0], [637.0, 254.0], [637.0, 289.0], [22.0, 285.0]], ('Receipt No:059220180220 0329', 0.9385425448417664)], [[[21.0, 300.0], [539.0, 303.0], [539.0, 335.0], [20.0, 332.0]], ('Qate:Febb:31PM', 0.8371443748474121)], [[[23.0, 348.0], [578.0, 352.0], [578.0, 385.0], [22.0, 381.0]], ('ashier 5625 Mi Ha Thi Xuan', 0.8631210327148438)], [[[28.0, 396.0], [245.0, 396.0], [245.0, 432.0], [28.0, 432.0]], ('lescription:', 0.9684195518493652)], [[[57.0, 492.0], [830.0, 498.0], [829.0, 529.0], [57.0, 523.0]], ('1DC//kELLOGG CereaL Frosties 3 10.00Q', 0.8186382055282593)], [[[56.0, 539.0], [829.0, 545.0], [828.0, 577.0], [56.0, 571.0]], ('1 DC//STR0NGB0W Cider Goid275m* 19.00Q', 0.8614203929901123)], [[[55.0, 586.0], [829.0, 592.0], [828.0, 625.0], [55.0, 619.0]], ('1DC//TH UHT Mi1k Less Sugar 220m 9.000', 0.8390112519264221)], [[[48.0, 678.0], [224.0, 682.0], [223.0, 719.0], [47.0, 716.0]], ('3 Item(s)', 0.8316115736961365)], [[[325.0, 683.0], [590.0, 685.0], [590.0, 721.0], [324.0, 719.0]], ('(VAT included', 0.9172574281692505)], [[[709.0, 685.0], [831.0, 685.0], [831.0, 722.0], [709.0, 722.0]], ('38.000', 0.9003741145133972)], [[[86.0, 727.0], [171.0, 727.0], [171.0, 767.0], [86.0, 767.0]], ('CASH', 0.99824059009552)], [[[708.0, 733.0], [830.0, 733.0], [830.0, 770.0], [708.0, 770.0]], ('50.000', 0.912136971950531)], [[[87.0, 775.0], [207.0, 775.0], [207.0, 814.0], [87.0, 814.0]], ('CHANGE', 0.9977712631225586)], [[[604.0, 780.0], [824.0, 782.0], [824.0, 819.0], [604.0, 817.0]], ('12.000', 0.9066749215126038)]]	{"store_name": "CIRCLEKVIETNAM", "store_addr": "273LeThanhTon,Dist.1.HCM", "telephone": "", "date": "", "time": "08:31PM", "subtotal": "", "tax": "", "total": "38,000", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "DC//KELLOGGSCerealFrosties", "item_value": "10,000", "item_quantity": "1"}, {"item_key": "", "item_name": "DC//STRONGBOWCiderGold", "item_value": "19,000", "item_quantity": "1"}, {"item_key": "", "item_name": "DC//THUHTMilkLessSugar", "item_value": "9,000", "item_quantity": "1"}, {"item_key": "", "item_name": "275ml*", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "220ml", "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	[[[[275.0, 86.0], [621.0, 130.0], [617.0, 158.0], [272.0, 115.0]], ('WELCOME TO BEST BUY #1482', 0.9249988794326782)], [[[317.0, 125.0], [587.0, 157.0], [584.0, 181.0], [314.0, 149.0]], ('18811 BEAR VALLEY RD', 0.9280274510383606)], [[[296.0, 152.0], [598.0, 184.0], [595.0, 209.0], [293.0, 177.0]], ('APPLE VALLEYCA 92308', 0.9520831108093262)], [[[346.0, 187.0], [539.0, 206.0], [536.0, 230.0], [343.0, 211.0]], ('760961-9539', 0.9803585410118103)], [[[312.0, 240.0], [558.0, 262.0], [555.0, 290.0], [309.0, 268.0]], ('Keep your receipt!', 0.9461066126823425)], [[[116.0, 387.0], [723.0, 458.0], [720.0, 482.0], [113.0, 411.0]], ('Va1 #:000070-173420-772516-646447-434380-795', 0.9636610150337219)], [[[114.0, 442.0], [489.0, 486.0], [486.0, 508.0], [111.0, 464.0]], ('1482060023205/27/1712:48', 0.9871276021003723)], [[[103.0, 523.0], [198.0, 533.0], [195.0, 556.0], [100.0, 546.0]], ('5603701', 0.9981268048286438)], [[[127.0, 548.0], [534.0, 597.0], [530.0, 625.0], [123.0, 576.0]], ('DVD RECEIVER WITH 6.2DISPLAY', 0.9226862788200378)], [[[252.0, 539.0], [374.0, 551.0], [371.0, 574.0], [250.0, 562.0]], ('AVH-291BT', 0.9802067279815674)], [[[154.0, 582.0], [366.0, 605.0], [364.0, 627.0], [152.0, 603.0]], ('249.99 REGPRICE', 0.9181987643241882)], [[[562.0, 579.0], [652.0, 589.0], [649.0, 615.0], [559.0, 605.0]], ('186.99', 0.992076575756073)], [[[164.0, 607.0], [416.0, 635.0], [414.0, 660.0], [161.0, 633.0]], ('30.00 SALE DISCOUNT', 0.9223424792289734)], [[[161.0, 632.0], [481.0, 672.0], [477.0, 697.0], [158.0, 657.0]], ('33.00 OPEN ITEM DISCOUNT', 0.8877479434013367)], [[[118.0, 657.0], [385.0, 687.0], [383.0, 709.0], [115.0, 678.0]], ('LP#200002762782464', 0.9918144941329956)], [[[117.0, 683.0], [380.0, 713.0], [377.0, 735.0], [114.0, 704.0]], ('CONDITION: EXCELLENT', 0.9365462064743042)], [[[111.0, 709.0], [302.0, 729.0], [300.0, 754.0], [108.0, 734.0]], ('PACKAGING:YES', 0.9575797319412231)], [[[107.0, 737.0], [233.0, 752.0], [230.0, 774.0], [105.0, 759.0]], ('Sales Tax', 0.9527289867401123)], [[[76.0, 761.0], [174.0, 772.0], [171.0, 795.0], [74.0, 784.0]], ('9436504', 0.9981850981712341)], [[[223.0, 777.0], [323.0, 789.0], [320.0, 811.0], [221.0, 799.0]], ('95-5817', 0.9917827248573303)], [[[415.0, 774.0], [487.0, 783.0], [483.0, 810.0], [411.0, 801.0]], ('14.50', 0.9959802627563477)], [[[97.0, 784.0], [509.0, 842.0], [505.0, 873.0], [93.0, 815.0]], ('METRA FORD/LINCOLN/MERCEDES/MA', 0.9814150333404541)], [[[96.0, 818.0], [219.0, 832.0], [217.0, 855.0], [93.0, 841.0]], ('Sales Tax', 0.9663152694702148)], [[[553.0, 826.0], [627.0, 835.0], [623.0, 862.0], [549.0, 853.0]], ('16.99', 0.9921843409538269)], [[[68.0, 841.0], [149.0, 851.0], [146.0, 874.0], [65.0, 864.0]], ('347137', 0.9964134097099304)], [[[215.0, 857.0], [309.0, 869.0], [306.0, 894.0], [212.0, 882.0]], ('70-1771', 0.990557074546814)], [[[417.0, 861.0], [476.0, 870.0], [472.0, 897.0], [413.0, 889.0]], ('1.31', 0.9938417673110962)], [[[85.0, 896.0], [209.0, 913.0], [206.0, 937.0], [82.0, 921.0]], ('Sales Tax', 0.9402174353599548)], [[[543.0, 911.0], [619.0, 921.0], [615.0, 951.0], [539.0, 942.0]], ('16.99', 0.9960582852363586)], [[[408.0, 948.0], [468.0, 958.0], [463.0, 986.0], [404.0, 976.0]], ('1.31', 0.9946220517158508)]]	{"store_name": "WELCOMETOBESTBUY#1482", "store_addr": "18811BEARVALLEYRD APPLEVALLEY,CA92308", "telephone": "(760)961-9539", "date": "05/27/17", "time": "12:48", "subtotal": "", "tax": "14.50 1.31 1.31", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "AVH-291BT", "item_value": "186.99", "item_quantity": "1"}, {"item_key": "", "item_name": "DVDRECEIVERWITH 6.2\"DISPLAY", "item_value": "16.99", "item_quantity": "1"}, {"item_key": "", "item_name": "95-5817", "item_value": "16.99", "item_quantity": "1"}, {"item_key": "", "item_name": "METRAFORD/LINCOLN/MERCEDES/MA", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "70-1771", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "FORDLINCOLNMERCURYHARNESS 9", "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, 0.0], [171.0, 1.0], [171.0, 15.0], [78.0, 14.0]], ('842 S INLAND DR', 0.9101682305335999)], [[[84.0, 15.0], [167.0, 15.0], [167.0, 29.0], [84.0, 29.0]], ('SAN BERNADINO', 0.9762054681777954)], [[[95.0, 28.0], [154.0, 30.0], [154.0, 45.0], [95.0, 42.0]], ('CA.92408', 0.9862058758735657)], [[[36.0, 57.0], [218.0, 59.0], [217.0, 72.0], [36.0, 70.0]], ('DUPLICATE RECEIPT ', 0.9103580117225647)], [[[37.0, 88.0], [131.0, 88.0], [131.0, 101.0], [37.0, 101.0]], ('Store2631', 0.9414082765579224)], [[[126.0, 88.0], [220.0, 88.0], [220.0, 102.0], [126.0, 102.0]], ('Dispenser10', 0.9178219437599182)], [[[37.0, 103.0], [190.0, 103.0], [190.0, 117.0], [37.0, 117.0]], ('Date:04-30-15 T1e 08:38', 0.9162349104881287)], [[[52.0, 132.0], [113.0, 132.0], [113.0, 143.0], [52.0, 143.0]], ('VISA DEBIT', 0.9311582446098328)], [[[49.0, 145.0], [185.0, 144.0], [185.0, 158.0], [50.0, 159.0]], ('Cardxxxx1246', 0.8255335688591003)], [[[50.0, 160.0], [149.0, 159.0], [149.0, 173.0], [51.0, 174.0]], ('Unleaded Regular', 0.9501489996910095)], [[[50.0, 175.0], [167.0, 174.0], [167.0, 188.0], [50.0, 189.0]], ('Prce/Gallon 53.499', 0.8794562816619873)], [[[52.0, 192.0], [103.0, 192.0], [103.0, 203.0], [52.0, 203.0]], ('Gallons:', 0.9032391905784607)], [[[129.0, 188.0], [164.0, 188.0], [164.0, 203.0], [129.0, 203.0]], ('3.943', 0.9838635325431824)], [[[51.0, 205.0], [120.0, 205.0], [120.0, 218.0], [51.0, 218.0]], ('Fuel Amount', 0.9127605557441711)], [[[147.0, 203.0], [187.0, 203.0], [187.0, 217.0], [147.0, 217.0]], ('$13.80', 0.9966866374015808)], [[[51.0, 219.0], [121.0, 219.0], [121.0, 233.0], [51.0, 233.0]], ('Sale Amount', 0.9683170914649963)], [[[146.0, 217.0], [187.0, 217.0], [187.0, 231.0], [146.0, 231.0]], ('$13.80', 0.9945023059844971)], [[[50.0, 234.0], [110.0, 234.0], [110.0, 248.0], [50.0, 248.0]], ('Approva!:', 0.9147322773933411)], [[[136.0, 231.0], [175.0, 231.0], [175.0, 246.0], [136.0, 246.0]], ('337124', 0.9934532046318054)], [[[37.0, 280.0], [224.0, 275.0], [225.0, 289.0], [38.0, 294.0]], (' DUPLICATE RECEIPT ', 0.9180434346199036)]]	{"store_name": "", "store_addr": "842SINLANDDR SANBERNADINO CA.92408", "telephone": "", "date": "04-30-15", "time": "08:38", "subtotal": "$13.80", "tax": "", "total": "$13.80", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "UnleadedRegular", "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	[[[[312.0, 77.0], [384.0, 75.0], [385.0, 102.0], [313.0, 104.0]], ('L1T2', 0.9673643708229065)], [[[530.0, 70.0], [631.0, 68.0], [632.0, 94.0], [531.0, 96.0]], ('3:04PM', 0.9545547366142273)], [[[84.0, 90.0], [222.0, 82.0], [223.0, 110.0], [86.0, 118.0]], ('2013-08-10', 0.9823112487792969)], [[[220.0, 113.0], [492.0, 100.0], [494.0, 128.0], [222.0, 141.0]], ('YOUR GUEST NUMBER IS', 0.9368323087692261)], [[[326.0, 137.0], [386.0, 134.0], [388.0, 170.0], [328.0, 173.0]], ('25', 0.9988247156143188)], [[[186.0, 217.0], [522.0, 201.0], [524.0, 229.0], [188.0, 245.0]], ('IN-N-OUT BURGER ESCONDIDO', 0.9658563733100891)], [[[537.0, 233.0], [638.0, 227.0], [640.0, 257.0], [539.0, 263.0]], ('3:02PM', 0.9504593014717102)], [[[93.0, 256.0], [229.0, 249.0], [231.0, 274.0], [94.0, 281.0]], ('2013-08-10', 0.9815705418586731)], [[[264.0, 274.0], [457.0, 266.0], [458.0, 288.0], [265.0, 296.0]], ('24724802152', 0.997715413570404)], [[[74.0, 320.0], [300.0, 318.0], [300.0, 338.0], [74.0, 341.0]], ('Casier ADAM EL', 0.7563666105270386)], [[[68.0, 344.0], [229.0, 344.0], [229.0, 369.0], [68.0, 369.0]], ('Check25', 0.8853970766067505)], [[[101.0, 401.0], [312.0, 399.0], [312.0, 427.0], [101.0, 429.0]], ('Counter-Eat In', 0.9654449224472046)], [[[91.0, 462.0], [187.0, 462.0], [187.0, 496.0], [91.0, 496.0]], ('0b1061', 0.750002384185791)], [[[593.0, 464.0], [661.0, 464.0], [661.0, 499.0], [593.0, 499.0]], ('3.30', 0.9970660209655762)], [[[102.0, 501.0], [220.0, 501.0], [220.0, 533.0], [102.0, 533.0]], ('WO KM', 0.8993691205978394)], [[[85.0, 536.0], [141.0, 536.0], [141.0, 573.0], [85.0, 573.0]], ('3X3', 0.978497326374054)], [[[596.0, 539.0], [664.0, 539.0], [664.0, 575.0], [596.0, 575.0]], ('4.35', 0.991663932800293)], [[[85.0, 578.0], [275.0, 578.0], [275.0, 610.0], [85.0, 610.0]], ('GR S only', 0.8889515995979309)], [[[85.0, 615.0], [121.0, 615.0], [121.0, 649.0], [85.0, 649.0]], ('FF', 0.9840630292892456)], [[[596.0, 615.0], [663.0, 615.0], [663.0, 650.0], [596.0, 650.0]], ('1.60', 0.9870576858520508)], [[[82.0, 653.0], [243.0, 653.0], [243.0, 690.0], [82.0, 690.0]], ('FFAnimal', 0.9777603149414062)], [[[595.0, 653.0], [664.0, 653.0], [664.0, 689.0], [595.0, 689.0]], ('3.50', 0.9883823990821838)], [[[78.0, 695.0], [195.0, 692.0], [195.0, 726.0], [79.0, 728.0]], ('Lg Coke', 0.9390439391136169)], [[[598.0, 693.0], [662.0, 693.0], [662.0, 724.0], [598.0, 724.0]], ('1.70', 0.9890351295471191)], [[[73.0, 731.0], [206.0, 729.0], [207.0, 761.0], [74.0, 764.0]], ('Med Coke', 0.9425440430641174)], [[[601.0, 729.0], [666.0, 729.0], [666.0, 759.0], [601.0, 759.0]], ('1.50', 0.9860401153564453)], [[[69.0, 768.0], [205.0, 768.0], [205.0, 804.0], [69.0, 804.0]], ('**C Shk', 0.8806590437889099)], [[[602.0, 764.0], [673.0, 764.0], [673.0, 799.0], [602.0, 799.0]], ('2.05', 0.9957138299942017)], [[[14.0, 854.0], [380.0, 848.0], [381.0, 882.0], [14.0, 889.0]], ('Counter-Eat', 0.9928700923919678)], [[[410.0, 849.0], [677.0, 846.0], [677.0, 878.0], [411.0, 881.0]], ('In18.00', 0.9794014692306519)], [[[17.0, 899.0], [309.0, 894.0], [310.0, 926.0], [17.0, 931.0]], ('TAX8.00%', 0.9368191361427307)], [[[552.0, 891.0], [682.0, 888.0], [682.0, 922.0], [552.0, 924.0]], ('1.44', 0.9522366523742676)], [[[16.0, 941.0], [344.0, 937.0], [344.0, 970.0], [16.0, 973.0]], ('Amount Due', 0.9405970573425293)], [[[483.0, 936.0], [682.0, 932.0], [682.0, 964.0], [483.0, 968.0]], ('$19.44', 0.9801512360572815)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "2013-08-10 2013-08-10", "time": "3:04PM 3:02PM", "subtotal": "18.00", "tax": "1.44", "total": "$19.44", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DblDbl", "item_value": "3.30", "item_quantity": "1"}, {"item_key": "", "item_name": "3X3", "item_value": "4.35", "item_quantity": "1"}, {"item_key": "", "item_name": "FF", "item_value": "1.60", "item_quantity": "1"}, {"item_key": "", "item_name": "FFAnimal", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "LgCoke", "item_value": "1.70", "item_quantity": "1"}, {"item_key": "", "item_name": "MedCoke", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "**CShk", "item_value": "2.05", "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	[[[[116.0, 50.0], [237.0, 55.0], [237.0, 68.0], [116.0, 64.0]], ('SHELL CANADA PRODUCTS', 0.949191153049469)], [[[128.0, 64.0], [225.0, 67.0], [224.0, 81.0], [127.0, 78.0]], ('1396E.41ST AVE.', 0.9300890564918518)], [[[121.0, 78.0], [241.0, 82.0], [241.0, 96.0], [120.0, 92.0]], ('VANCOUVER,BC V5W 1R8', 0.8961696624755859)], [[[138.0, 93.0], [218.0, 96.0], [217.0, 110.0], [137.0, 107.0]], ('604324-6131', 0.99063640832901)], [[[66.0, 104.0], [152.0, 108.0], [152.0, 122.0], [65.0, 117.0]], ('Tax Description', 0.9663068652153015)], [[[219.0, 109.0], [241.0, 109.0], [241.0, 125.0], [219.0, 125.0]], ('Qty', 0.9137721061706543)], [[[254.0, 108.0], [293.0, 112.0], [292.0, 127.0], [253.0, 123.0]], ('Amount', 0.9708943367004395)], [[[87.0, 131.0], [162.0, 136.0], [162.0, 151.0], [86.0, 146.0]], ('Prepay:Bronze', 0.9751390814781189)], [[[173.0, 134.0], [208.0, 137.0], [207.0, 152.0], [172.0, 149.0]], ('No.3', 0.9470289945602417)], [[[86.0, 145.0], [140.0, 147.0], [139.0, 161.0], [86.0, 159.0]], ('AIR MILES', 0.950225830078125)], [[[253.0, 136.0], [293.0, 139.0], [292.0, 154.0], [252.0, 151.0]], ('$10.00', 0.9676545262336731)], [[[224.0, 151.0], [233.0, 151.0], [233.0, 163.0], [224.0, 163.0]], ('1', 0.9316971302032471)], [[[258.0, 150.0], [292.0, 153.0], [291.0, 167.0], [257.0, 165.0]], ('$0.00', 0.9916912913322449)], [[[179.0, 175.0], [233.0, 178.0], [232.0, 193.0], [178.0, 190.0]], ('Sub Total', 0.862229585647583)], [[[79.0, 185.0], [128.0, 187.0], [127.0, 201.0], [78.0, 199.0]], ('5.0XGST', 0.924566924571991)], [[[139.0, 188.0], [177.0, 190.0], [176.0, 204.0], [138.0, 201.0]], ('tax on', 0.924273669719696)], [[[252.0, 180.0], [291.0, 180.0], [291.0, 194.0], [252.0, 194.0]], ('$10.00', 0.9903233647346497)], [[[78.0, 198.0], [127.0, 201.0], [126.0, 216.0], [77.0, 213.0]], ('7.0%PST', 0.9291676878929138)], [[[200.0, 191.0], [232.0, 191.0], [232.0, 206.0], [200.0, 206.0]], ('$0.00', 0.9948464632034302)], [[[137.0, 201.0], [178.0, 204.0], [177.0, 218.0], [136.0, 215.0]], ('tax on', 0.9425880908966064)], [[[200.0, 203.0], [233.0, 206.0], [232.0, 221.0], [198.0, 218.0]], ('000$', 0.8333559036254883)], [[[257.0, 194.0], [290.0, 194.0], [290.0, 208.0], [257.0, 208.0]], ('000$', 0.9470694661140442)], [[[257.0, 205.0], [290.0, 208.0], [289.0, 223.0], [256.0, 220.0]], ('$0.00', 0.9950678944587708)], [[[175.0, 216.0], [230.0, 220.0], [229.0, 234.0], [174.0, 230.0]], ('TOTAL', 0.9916127324104309)], [[[252.0, 219.0], [290.0, 222.0], [289.0, 237.0], [251.0, 234.0]], ('$10.00', 0.9961324334144592)], [[[200.0, 231.0], [233.0, 235.0], [231.0, 250.0], [198.0, 246.0]], ('AMME', 0.5771117806434631)], [[[251.0, 233.0], [290.0, 236.0], [289.0, 250.0], [250.0, 248.0]], ('$10.00', 0.9933932423591614)], [[[193.0, 245.0], [232.0, 250.0], [230.0, 264.0], [191.0, 259.0]], ('Change', 0.9927666187286377)], [[[256.0, 248.0], [290.0, 250.0], [289.0, 265.0], [255.0, 263.0]], ('$0.00', 0.9922941327095032)], [[[90.0, 284.0], [253.0, 292.0], [253.0, 306.0], [90.0, 297.0]], ('008 APPROVED -THANK YOU 000', 0.8852956295013428)], [[[55.0, 310.0], [82.0, 310.0], [82.0, 325.0], [55.0, 325.0]], ('AMEX', 0.9939687252044678)], [[[197.0, 317.0], [286.0, 322.0], [285.0, 335.0], [197.0, 331.0]], ('XXXXxXxXXX1016', 0.6709675192832947)], [[[57.0, 337.0], [102.0, 339.0], [101.0, 347.0], [56.0, 347.0]], ('PURCHASD', 0.927546501159668)], [[[163.0, 328.0], [286.0, 334.0], [285.0, 347.0], [162.0, 345.0]], ('TERMINALNO.89010241', 0.8500968813896179)]]	{"store_name": "SHELLCANADAPRODUCTS", "store_addr": "1396E.41STAVE. VANCOUVER,BCV5N1R8", "telephone": "(604)324-6131", "date": "", "time": "", "subtotal": "$10.00", "tax": "$0.00 $0.00", "total": "$10.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Prepay:Bronze", "item_value": "$10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AIRMILES", "item_value": "$0.00", "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	[[[[115.0, 13.0], [220.0, 13.0], [220.0, 27.0], [115.0, 27.0]], ('New Orleans,IA', 0.9094635248184204)], [[[127.0, 38.0], [203.0, 38.0], [203.0, 51.0], [127.0, 51.0]], ("Huck Finn's", 0.9128963351249695)], [[[109.0, 48.0], [229.0, 51.0], [228.0, 68.0], [109.0, 65.0]], ('135 Decatur Street', 0.9566859006881714)], [[[105.0, 62.0], [224.0, 63.0], [224.0, 80.0], [105.0, 79.0]], ('New 0r leans 70130', 0.8803050518035889)], [[[92.0, 75.0], [237.0, 78.0], [237.0, 95.0], [92.0, 92.0]], ('Phone:504)529-3600', 0.9335756301879883)], [[[35.0, 99.0], [129.0, 105.0], [128.0, 122.0], [34.0, 116.0]], ('5001 Dakota C', 0.9358177781105042)], [[[24.0, 129.0], [84.0, 131.0], [84.0, 148.0], [24.0, 146.0]], ('Tb181/1', 0.9507271647453308)], [[[137.0, 133.0], [197.0, 135.0], [197.0, 153.0], [137.0, 151.0]], ('Chk1728', 0.9904866814613342)], [[[264.0, 137.0], [291.0, 137.0], [291.0, 153.0], [264.0, 153.0]], ('Gst', 0.9900937676429749)], [[[108.0, 150.0], [226.0, 151.0], [226.0, 168.0], [108.0, 167.0]], ('May211502:44PM', 0.9654269218444824)], [[[48.0, 177.0], [153.0, 183.0], [152.0, 200.0], [48.0, 194.0]], ('Dine In', 0.9606321454048157)], [[[32.0, 193.0], [136.0, 198.0], [135.0, 215.0], [31.0, 210.0]], ('3 Cajun Burger', 0.9286152720451355)], [[[252.0, 198.0], [294.0, 201.0], [293.0, 218.0], [251.0, 216.0]], ('36.00', 0.9965370297431946)], [[[31.0, 210.0], [138.0, 214.0], [137.0, 231.0], [30.0, 227.0]], ('1 Thin Catfish', 0.9169675707817078)], [[[253.0, 216.0], [296.0, 218.0], [295.0, 236.0], [252.0, 233.0]], ('14.00', 0.9958499670028687)], [[[44.0, 228.0], [100.0, 231.0], [99.0, 248.0], [43.0, 244.0]], ('Platter', 0.996293842792511)], [[[57.0, 246.0], [166.0, 249.0], [166.0, 265.0], [56.0, 263.0]], ('Sub Caesar Sld', 0.9223735928535461)], [[[261.0, 252.0], [297.0, 252.0], [297.0, 269.0], [261.0, 269.0]], ('2.00', 0.9972585439682007)], [[[40.0, 264.0], [80.0, 267.0], [79.0, 281.0], [39.0, 279.0]], ('N', 0.9078099727630615)], [[[39.0, 282.0], [83.0, 282.0], [83.0, 297.0], [39.0, 297.0]], ('100', 0.9522618651390076)], [[[36.0, 302.0], [94.0, 302.0], [94.0, 320.0], [36.0, 320.0]], ('Dislike', 0.9964720010757446)], [[[259.0, 308.0], [305.0, 308.0], [305.0, 325.0], [259.0, 325.0]], ('16.00-', 0.9852609038352966)], [[[18.0, 320.0], [133.0, 324.0], [133.0, 340.0], [17.0, 337.0]], ('1 French Fries', 0.9556149840354919)], [[[266.0, 327.0], [303.0, 327.0], [303.0, 345.0], [266.0, 345.0]], ('3.00', 0.9968518018722534)], [[[17.0, 340.0], [116.0, 342.0], [115.0, 360.0], [16.0, 358.0]], ('1 Side Salad', 0.9403371810913086)], [[[268.0, 345.0], [305.0, 348.0], [304.0, 366.0], [266.0, 364.0]], ('5.00', 0.9980481266975403)], [[[27.0, 381.0], [66.0, 381.0], [66.0, 402.0], [27.0, 402.0]], ('Food', 0.9981417655944824)], [[[263.0, 386.0], [305.0, 389.0], [305.0, 408.0], [262.0, 405.0]], ('60.00', 0.9963841438293457)], [[[25.0, 401.0], [105.0, 406.0], [103.0, 426.0], [24.0, 422.0]], ('Discounts', 0.9963757395744324)], [[[264.0, 410.0], [305.0, 410.0], [305.0, 429.0], [264.0, 429.0]], ('16.00', 0.9946340322494507)], [[[23.0, 426.0], [55.0, 426.0], [55.0, 446.0], [23.0, 446.0]], ('Tax', 0.9941292405128479)], [[[272.0, 431.0], [305.0, 431.0], [305.0, 454.0], [272.0, 454.0]], ('4.29', 0.9500072002410889)], [[[20.0, 446.0], [67.0, 449.0], [66.0, 471.0], [19.0, 468.0]], ('Total', 0.9832828640937805)], [[[223.0, 453.0], [305.0, 455.0], [305.0, 477.0], [223.0, 474.0]], ('48.29', 0.9902691841125488)], [[[3.0, 486.0], [78.0, 488.0], [77.0, 503.0], [3.0, 501.0]], ('Facebook', 0.9888547658920288)]]	{"store_name": "HuckFinn's", "store_addr": "NewOrleans,IA 135DecaturStreet NewOrleans70130", "telephone": "(504)529-8600", "date": "May21'15", "time": "02:44PM", "subtotal": "60.00", "tax": "", "total": "48.29", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CajunBurger", "item_value": "36.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ThinCatfish", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Platter", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SubCaesarSld", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "100%", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FrenchFries", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SideSalad", "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	[[[[63.0, 135.0], [151.0, 135.0], [151.0, 148.0], [63.0, 148.0]], ('PIZZERIA RIVA DARNO', 0.9346708059310913)], [[[88.0, 146.0], [132.0, 146.0], [132.0, 157.0], [88.0, 157.0]], ('USTAPLZZA', 0.8371909856796265)], [[[57.0, 161.0], [147.0, 161.0], [147.0, 182.0], [57.0, 182.0]], ('FRENGA0563630282', 0.5672166347503662)], [[[160.0, 182.0], [182.0, 182.0], [182.0, 193.0], [160.0, 193.0]], ('EURO', 0.9135758876800537)], [[[25.0, 206.0], [100.0, 203.0], [101.0, 213.0], [26.0, 216.0]], ('PIZZA DEL GIGRND', 0.8177289962768555)], [[[26.0, 229.0], [78.0, 229.0], [78.0, 243.0], [26.0, 243.0]], ('TOTALE EURO', 0.9452033638954163)], [[[166.0, 226.0], [192.0, 226.0], [192.0, 242.0], [166.0, 242.0]], ('20,00', 0.9462745785713196)], [[[26.0, 242.0], [65.0, 242.0], [65.0, 252.0], [26.0, 252.0]], ('CONTANTE', 0.9832473993301392)], [[[167.0, 240.0], [190.0, 240.0], [190.0, 251.0], [167.0, 251.0]], ('2000', 0.5698413252830505)], [[[26.0, 257.0], [55.0, 257.0], [55.0, 267.0], [26.0, 267.0]], ('CASSA:', 0.9608092308044434)], [[[91.0, 278.0], [102.0, 278.0], [102.0, 285.0], [91.0, 285.0]], ('07', 0.966312050819397)], [[[102.0, 277.0], [144.0, 273.0], [145.0, 284.0], [103.0, 288.0]], ('80035067', 0.636354923248291)], [[[94.0, 289.0], [124.0, 289.0], [124.0, 304.0], [94.0, 304.0]], ('GRAZIE', 0.9958643913269043)], [[[82.0, 306.0], [131.0, 306.0], [131.0, 320.0], [82.0, 320.0]], ('ARRIVEDERCI', 0.9874635338783264)]]	{"store_name": "PIZZERIARIVAD'ARND", "store_addr": "FIRENZE", "telephone": "055-280223", "date": "20-05-2018", "time": "12:09", "subtotal": "", "tax": "", "total": "20.00 20.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BIRRASPINABIONOAPIC.", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BIRRASPINABIONOAMEDIA", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PIZZADEIGIORNO", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SCRVICE/COPERIO", "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	[[[[220.0, 106.0], [454.0, 115.0], [453.0, 137.0], [219.0, 128.0]], ('SHELL CANADA PRODUCTS', 0.9401955604553223)], [[[242.0, 133.0], [432.0, 140.0], [431.0, 162.0], [242.0, 155.0]], ('2025 152NDSIREET', 0.928139865398407)], [[[242.0, 161.0], [442.0, 168.0], [442.0, 190.0], [242.0, 183.0]], ('SURREYBC V4A 4N7', 0.933218240737915)], [[[267.0, 189.0], [411.0, 193.0], [411.0, 216.0], [266.0, 212.0]], ('604531-9814', 0.9845895767211914)], [[[114.0, 211.0], [290.0, 218.0], [289.0, 243.0], [113.0, 236.0]], ('Tax Description', 0.9579516649246216)], [[[431.0, 221.0], [469.0, 221.0], [469.0, 247.0], [431.0, 247.0]], ('Qty', 0.9844422936439514)], [[[499.0, 223.0], [565.0, 223.0], [565.0, 246.0], [499.0, 246.0]], ('Amount', 0.9978294372558594)], [[[113.0, 270.0], [127.0, 270.0], [127.0, 290.0], [113.0, 290.0]], ('F', 0.9835554957389832)], [[[159.0, 268.0], [314.0, 274.0], [313.0, 299.0], [158.0, 293.0]], ('Prepay:Bronze', 0.9675394892692566)], [[[343.0, 272.0], [406.0, 274.0], [405.0, 301.0], [342.0, 299.0]], ('NO.2', 0.8665137887001038)], [[[499.0, 275.0], [569.0, 275.0], [569.0, 301.0], [499.0, 301.0]], ('$60.00', 0.9890189170837402)], [[[160.0, 298.0], [270.0, 300.0], [269.0, 325.0], [160.0, 323.0]], ('AIR MILES', 0.9660317301750183)], [[[444.0, 304.0], [461.0, 304.0], [461.0, 326.0], [444.0, 326.0]], ('1', 0.8979097008705139)], [[[509.0, 302.0], [569.0, 300.0], [570.0, 327.0], [510.0, 330.0]], ('$0.00', 0.9933484792709351)], [[[359.0, 358.0], [457.0, 358.0], [457.0, 380.0], [359.0, 380.0]], ('Sub Tota', 0.9587600827217102)], [[[498.0, 357.0], [570.0, 354.0], [571.0, 380.0], [499.0, 383.0]], ('$60.00', 0.9942860007286072)], [[[150.0, 382.0], [248.0, 382.0], [248.0, 407.0], [150.0, 407.0]], ('5.0%GST', 0.9864426255226135)], [[[280.0, 384.0], [352.0, 388.0], [351.0, 411.0], [279.0, 407.0]], ('tax on', 0.9593422412872314)], [[[402.0, 383.0], [461.0, 383.0], [461.0, 409.0], [402.0, 409.0]], ('$0.00', 0.9921207427978516)], [[[510.0, 384.0], [571.0, 381.0], [572.0, 407.0], [511.0, 410.0]], ('$0.00', 0.9921334385871887)], [[[151.0, 411.0], [248.0, 411.0], [248.0, 436.0], [151.0, 436.0]], ('7.0%PST', 0.9874473214149475)], [[[280.0, 412.0], [352.0, 416.0], [351.0, 439.0], [279.0, 435.0]], ('tax on', 0.9467363357543945)], [[[402.0, 411.0], [462.0, 411.0], [462.0, 438.0], [402.0, 438.0]], ('$0.00', 0.9847402572631836)], [[[511.0, 410.0], [572.0, 407.0], [574.0, 434.0], [512.0, 437.0]], ('$0.00', 0.9958359599113464)], [[[349.0, 441.0], [457.0, 441.0], [457.0, 462.0], [349.0, 462.0]], ('TOTAL', 0.9568960070610046)], [[[504.0, 439.0], [573.0, 439.0], [573.0, 461.0], [504.0, 461.0]], ('$50.00', 0.9871496558189392)], [[[403.0, 466.0], [462.0, 466.0], [462.0, 492.0], [403.0, 492.0]], ('AMEX', 0.993740439414978)], [[[504.0, 466.0], [572.0, 463.0], [573.0, 488.0], [505.0, 491.0]], ('$60.00', 0.9876196384429932)], [[[392.0, 492.0], [464.0, 495.0], [463.0, 521.0], [391.0, 518.0]], ('Change', 0.9973774552345276)], [[[514.0, 493.0], [576.0, 489.0], [578.0, 516.0], [516.0, 520.0]], ('$0.00', 0.9961839914321899)], [[[187.0, 581.0], [510.0, 574.0], [511.0, 599.0], [188.0, 606.0]], ('008 APPROVED-THANK YOU 000', 0.9174664616584778)], [[[110.0, 641.0], [165.0, 638.0], [167.0, 667.0], [112.0, 670.0]], ('AMEX', 0.9972524046897888)], [[[408.0, 634.0], [585.0, 632.0], [585.0, 657.0], [408.0, 659.0]], ('XXXXXXXXXXX1016', 0.8303282856941223)], [[[343.0, 666.0], [587.0, 662.0], [587.0, 687.0], [343.0, 691.0]], ('TERMNAL No.89120152', 0.9504594206809998)], [[[573.0, 692.0], [591.0, 690.0], [594.0, 716.0], [576.0, 718.0]], ('C', 0.8684713244438171)], [[[111.0, 702.0], [210.0, 700.0], [211.0, 726.0], [111.0, 728.0]], ('PURCHASE', 0.9750458002090454)], [[[113.0, 735.0], [330.0, 727.0], [331.0, 752.0], [114.0, 760.0]], ('INVNo.1201522512', 0.9319347739219666)], [[[113.0, 765.0], [340.0, 759.0], [341.0, 784.0], [113.0, 790.0]], ('APPROVAL No.887437', 0.9130457639694214)], [[[113.0, 795.0], [306.0, 790.0], [307.0, 816.0], [113.0, 821.0]], ('AMERICAN EXPRESS', 0.9769560694694519)], [[[113.0, 823.0], [367.0, 820.0], [368.0, 848.0], [113.0, 851.0]], ('AID A000000025010801', 0.9762396812438965)], [[[117.0, 851.0], [296.0, 855.0], [296.0, 881.0], [116.0, 877.0]], ('TVR 0000008000', 0.9605109095573425)], [[[120.0, 877.0], [214.0, 885.0], [212.0, 911.0], [118.0, 904.0]], ('TSI E800', 0.8526194095611572)], [[[165.0, 943.0], [532.0, 945.0], [531.0, 988.0], [165.0, 985.0]], ('VERIFIED BY PIN', 0.9301254153251648)]]	{"store_name": "SHELLCANADAPRODUCTS", "store_addr": "2025152NDSTREET SURREY,BCV4A4N7", "telephone": "(604)531-9814", "date": "", "time": "", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Prepay:Bronze", "item_value": "$60.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AIRMILES", "item_value": "$0.00", "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	[[[[88.0, 56.0], [189.0, 46.0], [190.0, 63.0], [90.0, 73.0]], ('COMANDA', 0.99805748462677)], [[[103.0, 71.0], [175.0, 64.0], [176.0, 77.0], [105.0, 83.0]], ('LA CANASTA', 0.9507063627243042)], [[[104.0, 81.0], [174.0, 75.0], [175.0, 89.0], [106.0, 95.0]], ('B-93361525', 0.9528409242630005)], [[[65.0, 96.0], [216.0, 82.0], [217.0, 95.0], [66.0, 110.0]], ('AVDA RICARDO SORIANO', 0.9450042843818665)], [[[119.0, 102.0], [158.0, 98.0], [160.0, 112.0], [121.0, 116.0]], ('29602', 0.9987055063247681)], [[[112.0, 115.0], [166.0, 110.0], [167.0, 124.0], [114.0, 129.0]], ('MALAGA', 0.9976325631141663)], [[[105.0, 128.0], [171.0, 122.0], [172.0, 135.0], [106.0, 141.0]], ('952763535', 0.998302161693573)], [[[21.0, 146.0], [186.0, 134.0], [187.0, 148.0], [22.0, 159.0]], ('CAJA4 03/01/2017 13:46:27', 0.9347163438796997)], [[[200.0, 147.0], [263.0, 144.0], [264.0, 162.0], [201.0, 165.0]], ('SALON', 0.99821937084198)], [[[16.0, 161.0], [85.0, 155.0], [86.0, 172.0], [18.0, 177.0]], ('mesa 23', 0.94219970703125)], [[[136.0, 170.0], [183.0, 167.0], [184.0, 181.0], [137.0, 184.0]], ('Cantidad', 0.9973798990249634)], [[[228.0, 165.0], [271.0, 162.0], [272.0, 177.0], [229.0, 180.0]], ('Importe', 0.9681596755981445)], [[[7.0, 176.0], [61.0, 173.0], [62.0, 186.0], [7.0, 189.0]], ('Descripcion', 0.9477535486221313)], [[[160.0, 193.0], [186.0, 190.0], [187.0, 206.0], [161.0, 209.0]], ('1,00', 0.9631339311599731)], [[[243.0, 189.0], [280.0, 185.0], [281.0, 201.0], [244.0, 205.0]], ('1,50', 0.910845160484314)], [[[7.0, 199.0], [87.0, 195.0], [88.0, 208.0], [7.0, 213.0]], ('CAFE CON LECHE', 0.9401755928993225)], [[[6.0, 213.0], [65.0, 209.0], [66.0, 222.0], [6.0, 226.0]], ('CAFE MITAD', 0.9471790194511414)], [[[160.0, 218.0], [188.0, 218.0], [188.0, 233.0], [160.0, 233.0]], ('1,00', 0.8971908092498779)], [[[246.0, 215.0], [281.0, 215.0], [281.0, 229.0], [246.0, 229.0]], ('1,50', 0.9052779078483582)], [[[6.0, 225.0], [88.0, 220.0], [89.0, 234.0], [6.0, 238.0]], ('CAFE CON LECHE', 0.9402503371238708)], [[[6.0, 238.0], [83.0, 233.0], [83.0, 247.0], [6.0, 251.0]], ('CAFE CORTADO', 0.9584925770759583)], [[[162.0, 244.0], [189.0, 244.0], [189.0, 259.0], [162.0, 259.0]], ('1,00', 0.9551717638969421)], [[[246.0, 241.0], [281.0, 238.0], [282.0, 253.0], [247.0, 255.0]], ('2,70', 0.9121805429458618)], [[[5.0, 251.0], [86.0, 247.0], [86.0, 261.0], [5.0, 265.0]], ('FLAUTA QUESOF', 0.9519356489181519)], [[[6.0, 264.0], [82.0, 260.0], [82.0, 274.0], [6.0, 278.0]], ('FLAUTATORTILL', 0.9923080801963806)], [[[163.0, 257.0], [190.0, 257.0], [190.0, 272.0], [163.0, 272.0]], ('1,00', 0.9563069343566895)], [[[246.0, 255.0], [281.0, 251.0], [282.0, 264.0], [247.0, 268.0]], ('2,50', 0.889409065246582)], [[[17.0, 278.0], [123.0, 273.0], [124.0, 286.0], [17.0, 292.0]], ('N.de Artlculos4', 0.8803579211235046)], [[[17.0, 293.0], [161.0, 283.0], [161.0, 297.0], [18.0, 307.0]], ('Le atendio765RAFAEL', 0.9484695792198181)], [[[143.0, 302.0], [274.0, 293.0], [275.0, 311.0], [144.0, 320.0]], ('Total820', 0.978614330291748)]]	{"store_name": "COMANDA", "store_addr": "AVDA,RICARDOSORIANO 29602 MALAGA", "telephone": "952763535", "date": "03/01/2017", "time": "13:46:27", "subtotal": "", "tax": "", "total": "8,20\u20ac", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CAFECONLECHE", "item_value": "1,50\u20ac", "item_quantity": "1"}, {"item_key": "", "item_name": "CAFEMITAD", "item_value": "1,50\u20ac", "item_quantity": "1"}, {"item_key": "", "item_name": "CAFECONLECHE", "item_value": "2,70\u20ac", "item_quantity": "1"}, {"item_key": "", "item_name": "CAFECORTADO", "item_value": "2,50\u20ac", "item_quantity": "1"}, {"item_key": "", "item_name": "FLAUTAQUESOF", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "FLAUTATORTILL", "item_value": "", "item_quantity": ""}, {"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	[[[[153.0, 8.0], [214.0, 5.0], [215.0, 19.0], [154.0, 22.0]], ('Hard 8', 0.9031307101249695)], [[[138.0, 18.0], [230.0, 15.0], [231.0, 31.0], [138.0, 34.0]], ('The Colony', 0.9586423635482788)], [[[159.0, 30.0], [215.0, 30.0], [215.0, 44.0], [159.0, 44.0]], ('5300SH121', 0.97118079662323)], [[[140.0, 43.0], [238.0, 39.0], [239.0, 56.0], [141.0, 60.0]], ('The Colory.Ix 75056', 0.8111490607261658)], [[[88.0, 78.0], [158.0, 82.0], [158.0, 96.0], [87.0, 92.0]], ('Check370908', 0.953251302242279)], [[[182.0, 78.0], [236.0, 78.0], [236.0, 95.0], [182.0, 95.0]], ('Guests:1', 0.8624165058135986)], [[[87.0, 91.0], [157.0, 94.0], [157.0, 108.0], [87.0, 105.0]], ('Date:04/21/17', 0.9461845755577087)], [[[178.0, 92.0], [243.0, 92.0], [243.0, 106.0], [178.0, 106.0]], ('Time04:37m', 0.8757147789001465)], [[[86.0, 103.0], [171.0, 106.0], [171.0, 120.0], [86.0, 117.0]], ('Employee:Amanda', 0.9097620248794556)], [[[194.0, 107.0], [291.0, 101.0], [291.0, 115.0], [195.0, 121.0]], ('Custoner:YANKLE.LIN', 0.8211586475372314)], [[[86.0, 127.0], [120.0, 130.0], [119.0, 145.0], [85.0, 142.0]], ('Table:', 0.9766209125518799)], [[[87.0, 118.0], [112.0, 118.0], [112.0, 130.0], [87.0, 130.0]], ('DAH', 0.9743988513946533)], [[[89.0, 156.0], [138.0, 156.0], [138.0, 167.0], [89.0, 167.0]], ('Seat1', 0.9714705348014832)], [[[93.0, 167.0], [160.0, 169.0], [160.0, 183.0], [93.0, 181.0]], ('2 Onion Rings', 0.8953920602798462)], [[[263.0, 167.0], [293.0, 164.0], [294.0, 179.0], [264.0, 182.0]], ('$4.00', 0.9869287610054016)], [[[93.0, 180.0], [150.0, 182.0], [150.0, 196.0], [93.0, 194.0]], ('1 Misc Meat', 0.8849087357521057)], [[[264.0, 180.0], [294.0, 180.0], [294.0, 195.0], [264.0, 195.0]], ('$8.22', 0.9750445485115051)], [[[92.0, 193.0], [175.0, 195.0], [175.0, 209.0], [92.0, 207.0]], ('1 Jap Sweet Corn', 0.9006199836730957)], [[[264.0, 194.0], [294.0, 194.0], [294.0, 209.0], [264.0, 209.0]], ('$2.50', 0.987155556678772)], [[[91.0, 206.0], [154.0, 208.0], [154.0, 222.0], [91.0, 220.0]], ('3Soft Drink', 0.9252539277076721)], [[[264.0, 207.0], [295.0, 207.0], [295.0, 222.0], [264.0, 222.0]], ('$5.70', 0.9883245229721069)], [[[92.0, 221.0], [141.0, 221.0], [141.0, 235.0], [92.0, 235.0]], ('3.Cobbler', 0.89566570520401)], [[[265.0, 220.0], [295.0, 220.0], [295.0, 235.0], [265.0, 235.0]], ('$9.75', 0.9946517944335938)], [[[91.0, 233.0], [159.0, 235.0], [159.0, 249.0], [91.0, 247.0]], ('1 Corn on.Cob', 0.8662675023078918)], [[[265.0, 234.0], [295.0, 234.0], [295.0, 249.0], [265.0, 249.0]], ('$2.25', 0.9852787852287292)], [[[90.0, 246.0], [193.0, 248.0], [192.0, 262.0], [90.0, 260.0]], ('1 Sweet Potato Fries', 0.8977384567260742)], [[[265.0, 247.0], [295.0, 247.0], [295.0, 262.0], [265.0, 262.0]], ('$2.75', 0.9884101748466492)], [[[90.0, 260.0], [150.0, 262.0], [149.0, 276.0], [90.0, 274.0]], ('1 M1sc Meat', 0.8175428509712219)], [[[266.0, 261.0], [296.0, 261.0], [296.0, 275.0], [266.0, 275.0]], ('$9.15', 0.9922761917114258)], [[[89.0, 273.0], [172.0, 275.0], [172.0, 289.0], [89.0, 287.0]], ('1 Shriap Poppers', 0.8659495711326599)], [[[267.0, 274.0], [296.0, 274.0], [296.0, 289.0], [267.0, 289.0]], ('$2.25', 0.9917460680007935)], [[[88.0, 288.0], [147.0, 288.0], [147.0, 302.0], [88.0, 302.0]], ('2 Cole Slaw', 0.8604164123535156)], [[[267.0, 288.0], [296.0, 288.0], [296.0, 303.0], [267.0, 303.0]], ('$3.50', 0.9965707659721375)], [[[89.0, 302.0], [177.0, 302.0], [177.0, 315.0], [89.0, 315.0]], ('1 Cornbread Salad', 0.9193221926689148)], [[[267.0, 302.0], [297.0, 302.0], [297.0, 317.0], [267.0, 317.0]], ('$1.75', 0.9907458424568176)], [[[87.0, 313.0], [172.0, 316.0], [172.0, 333.0], [87.0, 330.0]], ('1 Shrimp Poppers', 0.8998823761940002)], [[[267.0, 317.0], [297.0, 317.0], [297.0, 332.0], [267.0, 332.0]], ('$2.75', 0.9906471371650696)], [[[87.0, 330.0], [146.0, 330.0], [146.0, 345.0], [87.0, 345.0]], ('1.Misc Meat', 0.9001525640487671)], [[[267.0, 331.0], [296.0, 331.0], [296.0, 347.0], [267.0, 347.0]], ('$6.51', 0.9757925271987915)], [[[86.0, 342.0], [172.0, 345.0], [171.0, 362.0], [86.0, 359.0]], ('1 Shrip Poppers', 0.952185332775116)], [[[267.0, 347.0], [296.0, 347.0], [296.0, 362.0], [267.0, 362.0]], ('$1.75', 0.9929715394973755)], [[[87.0, 360.0], [146.0, 360.0], [146.0, 374.0], [87.0, 374.0]], ('1 Misc Meat', 0.9254474639892578)], [[[266.0, 361.0], [296.0, 361.0], [296.0, 376.0], [266.0, 376.0]], ('$8.53', 0.9813812375068665)], [[[127.0, 389.0], [176.0, 389.0], [176.0, 403.0], [127.0, 403.0]], ('Subtotal:', 0.9858510494232178)], [[[256.0, 390.0], [292.0, 390.0], [292.0, 405.0], [256.0, 405.0]], ('$71.36', 0.9893955588340759)], [[[125.0, 402.0], [177.0, 402.0], [177.0, 419.0], [125.0, 419.0]], ('FOOD TAX', 0.7869294881820679)], [[[260.0, 404.0], [291.0, 404.0], [291.0, 419.0], [260.0, 419.0]], ('$5.89', 0.987540066242218)], [[[120.0, 417.0], [177.0, 417.0], [177.0, 434.0], [120.0, 434.0]], ('Subw/Tax:', 0.8738416433334351)], [[[256.0, 417.0], [292.0, 419.0], [291.0, 435.0], [255.0, 433.0]], ('$77.25', 0.9896681904792786)], [[[142.0, 433.0], [176.0, 433.0], [176.0, 447.0], [142.0, 447.0]], ('Total:', 0.9926484227180481)], [[[223.0, 431.0], [291.0, 433.0], [291.0, 449.0], [223.0, 448.0]], ('$77.25', 0.9313398003578186)]]	{"store_name": "Hard8 TheColony", "store_addr": "", "telephone": "", "date": "04/21/17", "time": "04:37PM", "subtotal": "$71.36", "tax": "$5.89", "total": "$77.25 $77.25", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "OnionRings", "item_value": "$4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MiscMeat", "item_value": "$8.22", "item_quantity": "1"}, {"item_key": "", "item_name": "JapSweetCorn", "item_value": "$2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "SoftDrink", "item_value": "$5.70", "item_quantity": "1"}, {"item_key": "", "item_name": "CobbIer", "item_value": "$9.75", "item_quantity": "1"}, {"item_key": "", "item_name": "CornonCob", "item_value": "$2.25", "item_quantity": "1"}, {"item_key": "", "item_name": "SweetPotatoFries", "item_value": "$2.75", "item_quantity": "1"}, {"item_key": "", "item_name": "MiscMaat", "item_value": "$9.15", "item_quantity": "1"}, {"item_key": "", "item_name": "ShriapPoppers", "item_value": "$2.25", "item_quantity": "1"}, {"item_key": "", "item_name": "ColeSlaw", "item_value": "$3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "CornbreadSalad", "item_value": "$1.75", "item_quantity": "1"}, {"item_key": "", "item_name": "ShrimpPoppers", "item_value": "$2.75", "item_quantity": "1"}, {"item_key": "", "item_name": "ShrimpPoppers", "item_value": "$6.51", "item_quantity": "1"}, {"item_key": "", "item_name": "MiscMeat", "item_value": "$1.75", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$8.53", "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	[[[[258.0, 100.0], [487.0, 127.0], [482.0, 170.0], [253.0, 144.0]], ('RaceWay 6883', 0.9561948180198669)], [[[277.0, 147.0], [458.0, 168.0], [455.0, 194.0], [274.0, 173.0]], ('6737W Tidwel1 Road', 0.8881954550743103)], [[[304.0, 177.0], [475.0, 192.0], [472.0, 218.0], [302.0, 204.0]], ('Houston,TX 77092', 0.922267496585846)], [[[171.0, 270.0], [324.0, 282.0], [323.0, 307.0], [169.0, 295.0]], ('Tax Description', 0.9695802927017212)], [[[444.0, 284.0], [479.0, 287.0], [477.0, 311.0], [441.0, 308.0]], ('Qty', 0.9979380965232849)], [[[500.0, 286.0], [561.0, 286.0], [561.0, 308.0], [500.0, 308.0]], ('Amount', 0.9975316524505615)], [[[198.0, 325.0], [267.0, 327.0], [266.0, 353.0], [197.0, 351.0]], ('Un1-87', 0.9779655933380127)], [[[406.0, 332.0], [460.0, 332.0], [460.0, 355.0], [406.0, 355.0]], ('No.13', 0.9859036207199097)], [[[273.0, 355.0], [470.0, 356.0], [470.0, 378.0], [273.0, 377.0]], ('20.025 G@$2.199/G', 0.9594758152961731)], [[[503.0, 354.0], [566.0, 352.0], [567.0, 375.0], [504.0, 377.0]], ('$44.03', 0.9937977194786072)], [[[379.0, 404.0], [469.0, 402.0], [470.0, 424.0], [380.0, 426.0]], ('Sub Total', 0.9450424909591675)], [[[505.0, 400.0], [569.0, 396.0], [570.0, 419.0], [506.0, 423.0]], ('$44.03', 0.9934678077697754)], [[[428.0, 426.0], [471.0, 426.0], [471.0, 449.0], [428.0, 449.0]], ('Tax:', 0.8858532309532166)], [[[516.0, 423.0], [570.0, 419.0], [572.0, 442.0], [518.0, 446.0]], ('$0.00', 0.9916199445724487)], [[[296.0, 454.0], [393.0, 454.0], [393.0, 492.0], [296.0, 492.0]], ('Total', 0.9983214139938354)], [[[447.0, 452.0], [574.0, 444.0], [576.0, 482.0], [449.0, 489.0]], ('$44.03', 0.9938729405403137)], [[[381.0, 494.0], [474.0, 491.0], [474.0, 514.0], [382.0, 517.0]], ('Discover:', 0.9846300482749939)], [[[510.0, 490.0], [575.0, 485.0], [577.0, 507.0], [512.0, 512.0]], ('$44.03', 0.9959608912467957)], [[[412.0, 517.0], [476.0, 517.0], [476.0, 540.0], [412.0, 540.0]], ('Change', 0.9978994727134705)], [[[522.0, 511.0], [578.0, 507.0], [580.0, 531.0], [523.0, 535.0]], ('$0.00', 0.9933704137802124)], [[[170.0, 724.0], [365.0, 719.0], [366.0, 740.0], [171.0, 746.0]], ('03/16/2018 10:41:04', 0.9439990520477295)], [[[208.0, 882.0], [300.0, 882.0], [300.0, 908.0], [208.0, 908.0]], ('REG100', 0.9968376755714417)], [[[328.0, 882.0], [413.0, 882.0], [413.0, 908.0], [328.0, 908.0]], ('CSHICR', 0.9878155589103699)], [[[444.0, 883.0], [550.0, 879.0], [551.0, 905.0], [445.0, 909.0]], ('TRAN:4395', 0.961609959602356)], [[[196.0, 914.0], [299.0, 914.0], [299.0, 940.0], [196.0, 940.0]], ('3/16/2018', 0.997172474861145)], [[[329.0, 915.0], [412.0, 915.0], [412.0, 939.0], [329.0, 939.0]], ('10:41:1', 0.9375911355018616)], [[[467.0, 913.0], [607.0, 908.0], [608.0, 934.0], [468.0, 939.0]], ('RaceWay 6883', 0.9548236727714539)]]	{"store_name": "RaceWay6883", "store_addr": "6737WTidwellRoad Houston,TX77092", "telephone": "", "date": "03/16/2018 3/16/2018", "time": "10:41:04 10:41:1", "subtotal": "$44.03", "tax": "$0.00", "total": "$44.03 $44.03", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Unl-87", "item_value": "$44.03", "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	[[[[677.0, 7.0], [1469.0, 14.0], [1468.0, 101.0], [676.0, 94.0]], ('1 BRUNCHY BAGELS', 0.9529097080230713)], [[[2216.0, 8.0], [2531.0, 0.0], [2534.0, 97.0], [2219.0, 105.0]], ('$12.90', 0.9950982928276062)], [[[1826.0, 233.0], [1989.0, 233.0], [1989.0, 348.0], [1826.0, 348.0]], ('GST', 0.9964709281921387)], [[[2284.0, 237.0], [2561.0, 228.0], [2565.0, 340.0], [2287.0, 349.0]], ('$3.65', 0.9943490028381348)], [[[1215.0, 490.0], [1955.0, 501.0], [1954.0, 595.0], [1213.0, 584.0]], ('TOTAL:', 0.9173601269721985)], [[[1934.0, 501.0], [2573.0, 493.0], [2574.0, 587.0], [1935.0, 595.0]], ('$40.10', 0.9537550806999207)], [[[654.0, 615.0], [1986.0, 630.0], [1985.0, 734.0], [652.0, 719.0]], ('Amount Due:', 0.9289464354515076)], [[[1944.0, 633.0], [2583.0, 626.0], [2584.0, 723.0], [1946.0, 731.0]], ('$40.10', 0.9930789470672607)], [[[823.0, 762.0], [2213.0, 762.0], [2213.0, 855.0], [823.0, 855.0]], ('-REPRINTED', 0.8896461725234985)], [[[1357.0, 1040.0], [1697.0, 1040.0], [1697.0, 1137.0], [1357.0, 1137.0]], ('****', 0.9679657816886902)], [[[748.0, 1186.0], [2247.0, 1186.0], [2247.0, 1290.0], [748.0, 1290.0]], ('I LIKE RICERICE IS GREAT', 0.9259355664253235)], [[[779.0, 1339.0], [2200.0, 1335.0], [2200.0, 1440.0], [779.0, 1443.0]], ("IF YOU'RE HUNGRY AND WANT", 0.9255180954933167)], [[[1003.0, 1492.0], [1996.0, 1488.0], [1996.0, 1610.0], [1003.0, 1614.0]], ('2000 OF SOMETHING', 0.9319660663604736)], [[[1173.0, 1659.0], [1935.0, 1659.0], [1935.0, 1777.0], [1173.0, 1777.0]], ('MITCH HEDBERG', 0.9748646020889282)], [[[1353.0, 1826.0], [1707.0, 1826.0], [1707.0, 1926.0], [1353.0, 1926.0]], ('****', 0.925822913646698)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "$3.65", "total": "$40.10 $40.10", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BRUNCHYBAGELS", "item_value": "$12.90", "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	[[[[243.0, 141.0], [438.0, 146.0], [437.0, 175.0], [243.0, 171.0]], ('Delray Square', 0.9312395453453064)], [[[156.0, 178.0], [488.0, 183.0], [488.0, 212.0], [155.0, 206.0]], ('4771 West Atlantic Ave', 0.9541980624198914)], [[[170.0, 217.0], [493.0, 219.0], [493.0, 247.0], [169.0, 245.0]], ('De1ray BeachFL 33445', 0.929869532585144)], [[[127.0, 254.0], [553.0, 255.0], [553.0, 283.0], [127.0, 282.0]], ('Store Manager: Robert Higgins', 0.9461344480514526)], [[[247.0, 290.0], [425.0, 290.0], [425.0, 318.0], [247.0, 318.0]], ('561-498-0500', 0.9935195446014404)], [[[68.0, 330.0], [337.0, 328.0], [337.0, 353.0], [68.0, 355.0]], ('HONEY GLD POTATOES', 0.945286750793457)], [[[508.0, 325.0], [571.0, 325.0], [571.0, 356.0], [508.0, 356.0]], ('3.99', 0.9977470636367798)], [[[608.0, 325.0], [629.0, 325.0], [629.0, 355.0], [608.0, 355.0]], ('F', 0.9915516376495361)], [[[68.0, 365.0], [323.0, 362.0], [323.0, 391.0], [68.0, 393.0]], ('PURPSPLENDOR POT', 0.9718539714813232)], [[[509.0, 359.0], [571.0, 359.0], [571.0, 391.0], [509.0, 391.0]], ('3.99', 0.9972318410873413)], [[[609.0, 358.0], [630.0, 358.0], [630.0, 390.0], [609.0, 390.0]], ('LL', 0.950511634349823)], [[[114.0, 400.0], [252.0, 400.0], [252.0, 429.0], [114.0, 429.0]], ('Promotion', 0.9981979727745056)], [[[499.0, 395.0], [573.0, 395.0], [573.0, 425.0], [499.0, 425.0]], ('-3.99', 0.966818630695343)], [[[610.0, 394.0], [632.0, 394.0], [632.0, 424.0], [610.0, 424.0]], ('F', 0.9922467470169067)], [[[500.0, 430.0], [573.0, 430.0], [573.0, 460.0], [500.0, 460.0]], ('11.99', 0.9957860708236694)], [[[612.0, 428.0], [632.0, 428.0], [632.0, 459.0], [612.0, 459.0]], ('LL', 0.9059461355209351)], [[[70.0, 439.0], [323.0, 435.0], [323.0, 460.0], [71.0, 464.0]], ('KOBE CRET BURGERS', 0.9161620140075684)], [[[510.0, 465.0], [574.0, 462.0], [576.0, 494.0], [511.0, 497.0]], ('2.99', 0.9952623844146729)], [[[612.0, 462.0], [633.0, 462.0], [633.0, 493.0], [612.0, 493.0]], ('F', 0.990871012210846)], [[[70.0, 474.0], [310.0, 470.0], [310.0, 498.0], [71.0, 502.0]], ('PINE PEEL & CORE', 0.9162410497665405)], [[[116.0, 509.0], [254.0, 505.0], [255.0, 534.0], [117.0, 538.0]], ('You Saved', 0.9515845775604248)], [[[365.0, 500.0], [432.0, 498.0], [434.0, 533.0], [367.0, 536.0]], ('2.00', 0.9978422522544861)], [[[69.0, 546.0], [178.0, 542.0], [179.0, 572.0], [70.0, 575.0]], ('BANANAS', 0.996981143951416)], [[[280.0, 575.0], [403.0, 572.0], [404.0, 604.0], [281.0, 608.0]], ('0.69/1b', 0.9853410124778748)], [[[519.0, 569.0], [584.0, 569.0], [584.0, 601.0], [519.0, 601.0]], ('1.34', 0.9920070171356201)], [[[618.0, 568.0], [639.0, 565.0], [644.0, 597.0], [623.0, 600.0]], ('LL', 0.9478057622909546)], [[[71.0, 583.0], [210.0, 578.0], [211.0, 607.0], [72.0, 612.0]], ('1.941b@', 0.9611479043960571)], [[[519.0, 606.0], [585.0, 603.0], [586.0, 637.0], [521.0, 640.0]], ('3.99', 0.9975890517234802)], [[[624.0, 603.0], [646.0, 603.0], [646.0, 635.0], [624.0, 635.0]], ('F', 0.9907037615776062)], [[[68.0, 620.0], [297.0, 613.0], [298.0, 641.0], [69.0, 648.0]], ('DELIZZA ECLAIRS', 0.9761999249458313)], [[[375.0, 645.0], [439.0, 645.0], [439.0, 677.0], [375.0, 677.0]], ('1.60', 0.9950470924377441)], [[[113.0, 656.0], [255.0, 651.0], [256.0, 679.0], [114.0, 684.0]], ('You Saved', 0.9558815360069275)], [[[520.0, 677.0], [587.0, 672.0], [589.0, 704.0], [522.0, 708.0]], ('3.99', 0.9977163672447205)], [[[623.0, 673.0], [649.0, 673.0], [649.0, 705.0], [623.0, 705.0]], ('F', 0.9937455654144287)], [[[72.0, 688.0], [345.0, 680.0], [345.0, 708.0], [73.0, 716.0]], ('DELIZZA EG/NG PUFF', 0.9542986750602722)], [[[375.0, 709.0], [439.0, 709.0], [439.0, 740.0], [375.0, 740.0]], ('1.60', 0.9937649965286255)], [[[121.0, 719.0], [258.0, 715.0], [259.0, 741.0], [122.0, 745.0]], ('You Saved', 0.9521788358688354)], [[[518.0, 738.0], [583.0, 735.0], [584.0, 766.0], [520.0, 769.0]], ('2.99', 0.9968811869621277)], [[[620.0, 735.0], [642.0, 735.0], [642.0, 765.0], [620.0, 765.0]], ('F', 0.9919430017471313)], [[[82.0, 753.0], [347.0, 743.0], [348.0, 768.0], [83.0, 778.0]], ('UNBLEACHED BRD FLR', 0.9481571912765503)], [[[377.0, 773.0], [438.0, 773.0], [438.0, 801.0], [377.0, 801.0]], ('1.00', 0.997735321521759)], [[[125.0, 783.0], [263.0, 776.0], [265.0, 805.0], [127.0, 812.0]], ('You Saved', 0.9593223929405212)], [[[516.0, 800.0], [580.0, 798.0], [581.0, 829.0], [518.0, 832.0]], ('2.99', 0.9974913001060486)], [[[619.0, 799.0], [638.0, 799.0], [638.0, 827.0], [619.0, 827.0]], ('F', 0.9974746108055115)], [[[84.0, 820.0], [247.0, 811.0], [249.0, 839.0], [85.0, 848.0]], ('CANTALOUPES', 0.9960397481918335)], [[[375.0, 837.0], [437.0, 833.0], [440.0, 865.0], [378.0, 869.0]], ('1.00', 0.9968273639678955)], [[[129.0, 853.0], [264.0, 844.0], [266.0, 873.0], [131.0, 882.0]], ('You Saved', 0.9444704055786133)], [[[86.0, 891.0], [349.0, 874.0], [351.0, 903.0], [88.0, 919.0]], ('DE CECCO BOW FARFA', 0.9441941380500793)], [[[517.0, 897.0], [578.0, 893.0], [580.0, 925.0], [519.0, 930.0]], ('1.50', 0.9944049119949341)], [[[616.0, 895.0], [634.0, 895.0], [634.0, 921.0], [616.0, 921.0]], ('F', 0.9919289350509644)], [[[333.0, 908.0], [394.0, 904.0], [396.0, 935.0], [335.0, 939.0]], ('3.00', 0.9943951964378357)], [[[89.0, 925.0], [252.0, 914.0], [254.0, 944.0], [91.0, 955.0]], ('1@2FOR', 0.9707784652709961)], [[[375.0, 940.0], [439.0, 935.0], [442.0, 966.0], [378.0, 972.0]], ('0.49', 0.9980030059814453)], [[[130.0, 958.0], [269.0, 948.0], [271.0, 980.0], [133.0, 989.0]], ('You Saved', 0.9413229823112488)], [[[223.0, 986.0], [264.0, 986.0], [264.0, 998.0], [223.0, 998.0]], ('ONT', 0.735927402973175)]]	{"store_name": "Publix", "store_addr": "DelraySquare 4771WestAtlanticAve. DelrayBeach,FL33445", "telephone": "561-498-0500", "date": "", "time": "", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HONEYGLDPOTATOES", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "PURPSPLENDORPOT", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "KOBECRFTBURGERS", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "PINEPEEL&CORE", "item_value": "3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BANANAS", "item_value": "3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "DELIZZAECLAIRS", "item_value": "1.34", "item_quantity": "1"}, {"item_key": "", "item_name": "DELIZZAEG/NGPUFF", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "UNBLEACHEDBRDFLR", "item_value": "11.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CANTALOUPES", "item_value": "3.99", "item_quantity": "1"}, {"item_key": "", "item_name": "DECECCOBOWFARFA", "item_value": "3.99", "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	[[[[231.0, 63.0], [400.0, 59.0], [401.0, 76.0], [232.0, 80.0]], ('Kiwiana Restaurant', 0.9760016202926636)], [[[233.0, 80.0], [398.0, 78.0], [398.0, 95.0], [233.0, 97.0]], ('847 A Union Street', 0.9596461057662964)], [[[229.0, 100.0], [401.0, 97.0], [401.0, 114.0], [229.0, 118.0]], ('Brooklyn,NY 11215', 0.9435807466506958)], [[[256.0, 117.0], [373.0, 116.0], [373.0, 134.0], [256.0, 136.0]], ('718-230-3682', 0.9930564761161804)], [[[94.0, 172.0], [141.0, 172.0], [141.0, 191.0], [94.0, 191.0]], ('Tbl:4', 0.9720746874809265)], [[[448.0, 164.0], [544.0, 158.0], [546.0, 179.0], [449.0, 185.0]], ('Ref:57204', 0.9732387065887451)], [[[445.0, 189.0], [546.0, 183.0], [548.0, 204.0], [446.0, 210.0]], ('Chk:57373', 0.972570538520813)], [[[87.0, 227.0], [132.0, 227.0], [132.0, 250.0], [87.0, 250.0]], ('Nino', 0.9987950325012207)], [[[376.0, 221.0], [550.0, 217.0], [550.0, 238.0], [377.0, 242.0]], ('2/5/2017 12:19 pm', 0.9285128712654114)], [[[510.0, 272.0], [556.0, 272.0], [556.0, 294.0], [510.0, 294.0]], ('7.00', 0.9972504377365112)], [[[119.0, 284.0], [224.0, 284.0], [224.0, 305.0], [119.0, 305.0]], ('bloody mary', 0.9640151858329773)], [[[116.0, 311.0], [253.0, 309.0], [254.0, 330.0], [116.0, 332.0]], ('Mimosa Special', 0.9773961305618286)], [[[511.0, 302.0], [557.0, 299.0], [559.0, 322.0], [512.0, 325.0]], ('8.00', 0.9976072311401367)], [[[115.0, 338.0], [174.0, 338.0], [174.0, 360.0], [115.0, 360.0]], ('Coffee', 0.9981188178062439)], [[[514.0, 330.0], [560.0, 330.0], [560.0, 353.0], [514.0, 353.0]], ('2.75', 0.8813944458961487)], [[[114.0, 367.0], [198.0, 367.0], [198.0, 389.0], [114.0, 389.0]], ('Florentine', 0.9975326657295227)], [[[505.0, 359.0], [563.0, 359.0], [563.0, 384.0], [505.0, 384.0]], ('12.00', 0.9974086880683899)], [[[113.0, 398.0], [228.0, 398.0], [228.0, 419.0], [113.0, 419.0]], ('French Toast', 0.9585906863212585)], [[[505.0, 392.0], [565.0, 392.0], [565.0, 417.0], [505.0, 417.0]], ('13.00', 0.9977138638496399)], [[[251.0, 455.0], [339.0, 455.0], [339.0, 476.0], [251.0, 476.0]], ('SubTotal', 0.994899332523346)], [[[508.0, 453.0], [568.0, 453.0], [568.0, 478.0], [508.0, 478.0]], ('42.75', 0.9973700642585754)], [[[244.0, 478.0], [341.0, 480.0], [340.0, 504.0], [243.0, 502.0]], ('State Tax', 0.940807580947876)], [[[521.0, 476.0], [570.0, 480.0], [568.0, 507.0], [519.0, 502.0]], ('3.79', 0.9955172538757324)], [[[287.0, 530.0], [342.0, 530.0], [342.0, 556.0], [287.0, 556.0]], ('Total', 0.9983011484146118)], [[[510.0, 533.0], [571.0, 533.0], [571.0, 558.0], [510.0, 558.0]], ('46.54', 0.9921186566352844)], [[[90.0, 627.0], [549.0, 635.0], [549.0, 655.0], [90.0, 647.0]], ('Immigrants make America great (they also cooked', 0.9563950896263123)], [[[171.0, 650.0], [466.0, 656.0], [466.0, 677.0], [171.0, 672.0]], ('your food and served you today)', 0.9639228582382202)]]	{"store_name": "KiwianaRestaurant", "store_addr": "847AUnionStreet Brooklyn,NY11215", "telephone": "718-230-3682", "date": "2/5/2017", "time": "12:19pm", "subtotal": "42.75", "tax": "3.79", "total": "46.54", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "bloodymary", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MimosaSpecial", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Coffee", "item_value": "2.75", "item_quantity": "1"}, {"item_key": "", "item_name": "Florentine", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FrenchToast", "item_value": "13.00", "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	[[[[31.0, 19.0], [266.0, 26.0], [266.0, 46.0], [31.0, 39.0]], ('RELAIS NAPOLEON III', 0.9570928812026978)], [[[103.0, 58.0], [208.0, 65.0], [207.0, 82.0], [102.0, 75.0]], ('HOTEL RESTAURANT', 0.9705696105957031)], [[[104.0, 50.0], [202.0, 54.0], [201.0, 69.0], [104.0, 64.0]], ('sarl St.Venaly', 0.8872339129447937)], [[[1.0, 110.0], [186.0, 117.0], [185.0, 137.0], [1.0, 130.0]], ('Date16/07/2016-22:07', 0.9535058736801147)], [[[41.0, 129.0], [197.0, 133.0], [197.0, 157.0], [40.0, 154.0]], ('Table n110 Couverts2', 0.953251838684082)], [[[29.0, 167.0], [55.0, 167.0], [55.0, 182.0], [29.0, 182.0]], ('Qte', 0.990964412689209)], [[[76.0, 167.0], [157.0, 165.0], [158.0, 182.0], [76.0, 184.0]], ('Designation', 0.9932273626327515)], [[[181.0, 161.0], [238.0, 165.0], [236.0, 183.0], [180.0, 179.0]], ('P unit', 0.7802736163139343)], [[[230.0, 168.0], [279.0, 168.0], [279.0, 182.0], [230.0, 182.0]], ('Total', 0.9592515826225281)], [[[26.0, 195.0], [148.0, 195.0], [148.0, 209.0], [26.0, 209.0]], ('2 SALADE PAYSANNE', 0.9371761679649353)], [[[182.0, 193.0], [221.0, 193.0], [221.0, 208.0], [182.0, 208.0]], ('11,50', 0.9179743528366089)], [[[239.0, 194.0], [278.0, 194.0], [278.0, 209.0], [239.0, 209.0]], ('23,00', 0.9283790588378906)], [[[23.0, 209.0], [171.0, 208.0], [171.0, 222.0], [23.0, 223.0]], ('1 BAR AU BEURRE BLAN', 0.9202207326889038)], [[[181.0, 208.0], [221.0, 208.0], [221.0, 223.0], [181.0, 223.0]], ('16,50', 0.9183138012886047)], [[[240.0, 208.0], [278.0, 208.0], [278.0, 223.0], [240.0, 223.0]], ('16,50', 0.9133672714233398)], [[[22.0, 223.0], [147.0, 224.0], [147.0, 238.0], [22.0, 237.0]], ('1 FILET DE SANDRE', 0.9354993104934692)], [[[182.0, 223.0], [221.0, 223.0], [221.0, 238.0], [182.0, 238.0]], ('17,00', 0.9310331344604492)], [[[240.0, 223.0], [279.0, 223.0], [279.0, 238.0], [240.0, 238.0]], ('17,00', 0.899371325969696)], [[[23.0, 240.0], [84.0, 240.0], [84.0, 251.0], [23.0, 251.0]], ('1TURSAN', 0.9429216384887695)], [[[182.0, 238.0], [221.0, 238.0], [221.0, 253.0], [182.0, 253.0]], ('13,60', 0.8945993185043335)], [[[241.0, 238.0], [279.0, 238.0], [279.0, 253.0], [241.0, 253.0]], ('13.60', 0.9207659959793091)], [[[20.0, 253.0], [155.0, 253.0], [155.0, 267.0], [20.0, 267.0]], ('11/2PICHETBLANC', 0.9899410605430603)], [[[188.0, 253.0], [221.0, 253.0], [221.0, 268.0], [188.0, 268.0]], ('5.00', 0.8825180530548096)], [[[246.0, 251.0], [281.0, 251.0], [281.0, 269.0], [246.0, 269.0]], ('5,00', 0.9132785797119141)], [[[18.0, 268.0], [67.0, 268.0], [67.0, 284.0], [18.0, 284.0]], ('1 CAFE', 0.9180964827537537)], [[[188.0, 266.0], [223.0, 266.0], [223.0, 284.0], [188.0, 284.0]], ('1,40', 0.9084063768386841)], [[[249.0, 268.0], [281.0, 268.0], [281.0, 283.0], [249.0, 283.0]], ('1,40', 0.9117514491081238)], [[[0.0, 315.0], [154.0, 315.0], [154.0, 343.0], [0.0, 343.0]], ('ETTTC EUR', 0.9419949650764465)], [[[244.0, 313.0], [326.0, 313.0], [326.0, 346.0], [244.0, 346.0]], ('76,50', 0.927352249622345)], [[[42.0, 344.0], [193.0, 344.0], [193.0, 361.0], [42.0, 361.0]], ('15,50x TVA a20%=', 0.883031964302063)], [[[284.0, 344.0], [321.0, 344.0], [321.0, 362.0], [284.0, 362.0]], ('3,10', 0.9280040860176086)], [[[42.0, 363.0], [192.0, 363.0], [192.0, 377.0], [42.0, 377.0]], ('5264xTVA a 10%=', 0.9042415022850037)], [[[286.0, 361.0], [323.0, 361.0], [323.0, 380.0], [286.0, 380.0]], ('5,26', 0.9216160774230957)], [[[86.0, 414.0], [210.0, 414.0], [210.0, 431.0], [86.0, 431.0]], ('Merci a bientot', 0.9534246921539307)]]	{"store_name": "RELAISNAPOLEONIII", "store_addr": "sarlSt.Venaly HOTELRESTAURANT 40210CAPDEPIN", "telephone": "0558072052", "date": "16/07/2016", "time": "22:07", "subtotal": "", "tax": "3,10 5,26", "total": "76,50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SALADEPAYSANNE", "item_value": "23,00", "item_quantity": "1"}, {"item_key": "", "item_name": "CAFE", "item_value": "16,50", "item_quantity": "1"}, {"item_key": "", "item_name": "1/2PICHETBLANC", "item_value": "17,00", "item_quantity": "1"}, {"item_key": "", "item_name": "BARAUBEURREBLAN", "item_value": "13,60", "item_quantity": "1"}, {"item_key": "", "item_name": "FILETDESANDRE", "item_value": "5,00", "item_quantity": "1"}, {"item_key": "", "item_name": "TURSAN", "item_value": "1,40", "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	[[[[248.0, 121.0], [707.0, 121.0], [707.0, 159.0], [248.0, 159.0]], ('Q-PARK NILTO', 0.8738588690757751)], [[[182.0, 159.0], [761.0, 152.0], [762.0, 191.0], [182.0, 198.0]], ('VATN0.CB617777601', 0.927084743976593)], [[[214.0, 195.0], [704.0, 195.0], [704.0, 232.0], [214.0, 232.0]], ('BT29 4AB Be1fsst', 0.8445400595664978)], [[[93.0, 263.0], [249.0, 263.0], [249.0, 303.0], [93.0, 303.0]], ('AP15', 0.9909734725952148)], [[[430.0, 262.0], [859.0, 260.0], [859.0, 299.0], [430.0, 301.0]], ('02/10/1017:24', 0.9873255491256714)], [[[91.0, 301.0], [525.0, 299.0], [525.0, 338.0], [91.0, 340.0]], ('Receipt 013804', 0.9013271927833557)], [[[91.0, 371.0], [647.0, 370.0], [647.0, 409.0], [91.0, 411.0]], ('Snort-term parking', 0.9303942918777466)], [[[90.0, 405.0], [221.0, 409.0], [220.0, 450.0], [89.0, 446.0]], ('VISA', 0.9712750911712646)], [[[91.0, 445.0], [444.0, 440.0], [444.0, 479.0], [91.0, 484.0]], ('SHORT STAY', 0.950152575969696)], [[[426.0, 443.0], [525.0, 443.0], [525.0, 478.0], [426.0, 478.0]], ('CAR', 0.9957477450370789)], [[[553.0, 440.0], [682.0, 440.0], [682.0, 479.0], [553.0, 479.0]], ('PARK', 0.9965704083442688)], [[[463.0, 471.0], [497.0, 471.0], [497.0, 584.0], [463.0, 584.0]], ('NO', 0.525633692741394)], [[[93.0, 481.0], [348.0, 484.0], [348.0, 517.0], [92.0, 513.0]], ('02/10/10', 0.9633498787879944)], [[[91.0, 519.0], [343.0, 515.0], [343.0, 549.0], [91.0, 553.0]], ('02/10/10', 0.9837321639060974)], [[[710.0, 579.0], [870.0, 575.0], [871.0, 621.0], [711.0, 625.0]], ('1.03', 0.9946561455726624)], [[[97.0, 590.0], [337.0, 590.0], [337.0, 623.0], [97.0, 623.0]], ('Y.A.T.', 0.7359434962272644)], [[[92.0, 659.0], [428.0, 656.0], [428.0, 695.0], [93.0, 698.0]], ('Gross total', 0.9631304144859314)], [[[712.0, 650.0], [871.0, 646.0], [872.0, 691.0], [713.0, 695.0]], ('1.03', 0.9926854372024536)], [[[91.0, 729.0], [305.0, 729.0], [305.0, 769.0], [91.0, 769.0]], ('Payment', 0.9779166579246521)], [[[91.0, 765.0], [220.0, 765.0], [220.0, 805.0], [91.0, 805.0]], ('VISA', 0.9814148545265198)], [[[715.0, 759.0], [870.0, 755.0], [871.0, 796.0], [716.0, 800.0]], ('1.03', 0.9910489320755005)], [[[93.0, 801.0], [164.0, 801.0], [164.0, 837.0], [93.0, 837.0]], ('44', 0.5439307689666748)], [[[214.0, 805.0], [497.0, 805.0], [497.0, 832.0], [214.0, 832.0]], ('KXXXXXXT', 0.5404748916625977)], [[[91.0, 839.0], [643.0, 836.0], [644.0, 870.0], [91.0, 873.0]], ('nercn:54043650004', 0.9116916060447693)], [[[92.0, 879.0], [309.0, 868.0], [310.0, 905.0], [94.0, 916.0]], ('Auth:25', 0.9192144274711609)], [[[396.0, 870.0], [434.0, 870.0], [434.0, 906.0], [396.0, 906.0]], ('1', 0.9511995315551758)], [[[96.0, 908.0], [468.0, 904.0], [468.0, 945.0], [96.0, 949.0]], ('TyFe:Swiped', 0.8273984789848328)], [[[187.0, 1124.0], [758.0, 1115.0], [759.0, 1154.0], [187.0, 1163.0]], ('All amounts in cBp', 0.8157758712768555)], [[[93.0, 1161.0], [843.0, 1154.0], [843.0, 1194.0], [93.0, 1201.0]], ('Deliv. date=Receipt date', 0.8727529048919678)]]	{"store_name": "Q-PARK(NI)LTD", "store_addr": "BT294ABBelfast", "telephone": "", "date": "02/10/10 02/10/10 02/10/10", "time": "17:24 17:24", "subtotal": "\u00a30.88", "tax": "0.15", "total": "\u00a31.03", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SHORTSTAYCARPARK", "item_value": "\u00a31.03", "item_quantity": "1"}, {"item_key": "Short-termparking", "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	[[[[668.0, 94.0], [1567.0, 121.0], [1561.0, 308.0], [662.0, 280.0]], ('Walmart', 0.9945027232170105)], [[[669.0, 298.0], [1562.0, 331.0], [1559.0, 402.0], [667.0, 370.0]], ('Save money.Live better', 0.9821383953094482)], [[[868.0, 458.0], [1552.0, 484.0], [1549.0, 552.0], [865.0, 526.0]], ('712366-3326', 0.9832035303115845)], [[[721.0, 526.0], [1659.0, 558.0], [1657.0, 626.0], [719.0, 594.0]], ('MANAGER DONALD MONEYMAKER', 0.9669303894042969)], [[[794.0, 598.0], [1586.0, 623.0], [1584.0, 691.0], [792.0, 666.0]], ('3201 MANAWA CENTRE DR', 0.9544482231140137)], [[[756.0, 662.0], [1611.0, 691.0], [1608.0, 759.0], [754.0, 730.0]], ('COUNCIL BLUFFS IA 51501', 0.9404436349868774)], [[[492.0, 720.0], [1879.0, 769.0], [1876.0, 841.0], [489.0, 791.0]], ('ST# 019650P# 002031 TE#20 TR#05145', 0.918860673904419)], [[[488.0, 791.0], [1433.0, 824.0], [1431.0, 892.0], [486.0, 859.0]], ('SW HR0 FGHTR 063050940732', 0.9442933797836304)], [[[1680.0, 833.0], [1916.0, 833.0], [1916.0, 904.0], [1680.0, 904.0]], ('6.94T', 0.9900308847427368)], [[[1157.0, 876.0], [1462.0, 892.0], [1458.0, 967.0], [1153.0, 951.0]], ('SUBTOTAL', 0.9963646531105042)], [[[1676.0, 898.0], [1839.0, 898.0], [1839.0, 972.0], [1676.0, 972.0]], ('6.94', 0.9943361282348633)], [[[821.0, 935.0], [1022.0, 935.0], [1022.0, 1020.0], [821.0, 1020.0]], ('TAX 1', 0.9161862134933472)], [[[1121.0, 948.0], [1399.0, 956.0], [1396.0, 1027.0], [1119.0, 1019.0]], ('7.000%', 0.9909889698028564)], [[[1676.0, 966.0], [1836.0, 966.0], [1836.0, 1040.0], [1676.0, 1040.0]], ('0.49', 0.9968600273132324)], [[[1268.0, 1016.0], [1458.0, 1024.0], [1454.0, 1103.0], [1265.0, 1094.0]], ('TOTAL', 0.9985650181770325)], [[[1676.0, 1034.0], [1839.0, 1034.0], [1839.0, 1108.0], [1676.0, 1108.0]], ('7.43', 0.9927917122840881)], [[[1045.0, 1080.0], [1461.0, 1096.0], [1458.0, 1170.0], [1042.0, 1155.0]], ('DEBIT TEND', 0.9540606737136841)], [[[1673.0, 1102.0], [1836.0, 1102.0], [1836.0, 1176.0], [1673.0, 1176.0]], ('7.43', 0.995910108089447)], [[[1079.0, 1152.0], [1458.0, 1163.0], [1455.0, 1235.0], [1077.0, 1223.0]], ('CHANGE DUE', 0.9679210782051086)], [[[1669.0, 1170.0], [1836.0, 1170.0], [1836.0, 1244.0], [1669.0, 1244.0]], ('0.00', 0.9980345964431763)], [[[475.0, 1332.0], [821.0, 1344.0], [819.0, 1419.0], [472.0, 1407.0]], ('EFT DEBIT', 0.961496114730835)], [[[1076.0, 1352.0], [1673.0, 1374.0], [1671.0, 1442.0], [1074.0, 1420.0]], ('PAY FROM PRIMARY', 0.9433815479278564)], [[[617.0, 1403.0], [1385.0, 1429.0], [1382.0, 1507.0], [615.0, 1482.0]], ('7.43TOTAL PURCHASE', 0.9647625684738159)], [[[472.0, 1468.0], [822.0, 1483.0], [818.0, 1555.0], [468.0, 1539.0]], ('ACCOUNT #', 0.9568301439285278)], [[[1073.0, 1492.0], [1600.0, 1514.0], [1598.0, 1572.0], [1070.0, 1550.0]], (' ', 0.5423680543899536)], [[[1853.0, 1516.0], [1899.0, 1516.0], [1899.0, 1578.0], [1853.0, 1578.0]], ('S', 0.9259323477745056)], [[[464.0, 1539.0], [1152.0, 1561.0], [1149.0, 1629.0], [462.0, 1608.0]], ('REF #534200381755', 0.9435757994651794)], [[[460.0, 1611.0], [1704.0, 1639.0], [1703.0, 1711.0], [458.0, 1683.0]], ('NETW0RK ID. 0056 APPR C0DE 087193', 0.915395200252533)], [[[464.0, 1679.0], [1186.0, 1697.0], [1184.0, 1769.0], [462.0, 1750.0]], ('TERMINAL # MX995026', 0.9468134045600891)], [[[803.0, 1829.0], [1113.0, 1829.0], [1113.0, 1901.0], [803.0, 1901.0]], ('12/08/15', 0.9823092818260193)], [[[1250.0, 1835.0], [1558.0, 1843.0], [1556.0, 1918.0], [1248.0, 1910.0]], ('12:39:24', 0.9506990909576416)], [[[603.0, 1971.0], [1645.0, 1990.0], [1643.0, 2105.0], [601.0, 2087.0]], ('# ITEMS SOLD 1', 0.8966636657714844)], [[[599.0, 2169.0], [1659.0, 2180.0], [1658.0, 2248.0], [598.0, 2237.0]], ('TC# 3261 4114 0323 3051 6498', 0.9179115891456604)], [[[859.0, 2448.0], [1436.0, 2448.0], [1436.0, 2516.0], [859.0, 2516.0]], ('NEW STORE HOURS', 0.9320711493492126)], [[[455.0, 2526.0], [1791.0, 2519.0], [1791.0, 2591.0], [456.0, 2598.0]], ('Open 6am to midnight 7 days a week.', 0.9181432723999023)], [[[730.0, 2595.0], [1059.0, 2587.0], [1061.0, 2668.0], [732.0, 2676.0]], ('12/08/15', 0.9972036480903625)], [[[1241.0, 2594.0], [1551.0, 2594.0], [1551.0, 2666.0], [1241.0, 2666.0]], ('12:39:26', 0.9607709646224976)], [[[396.0, 2751.0], [1887.0, 2730.0], [1889.0, 2818.0], [397.0, 2839.0]], ('Savings Catcher! Scan with Walmart app', 0.9533069729804993)]]	{"store_name": "Walmart", "store_addr": "COUNCILBLUFFSIA51501 3201MANAWACENTREDR", "telephone": "(712)366-3326", "date": "12/08/15 12/08/15", "time": "12:39:26", "subtotal": "6.94", "tax": "0.49", "total": "7.43 7.43 7.43", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SWHROFGHTR063050940732", "item_value": "6.94", "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	[[[[143.0, 20.0], [376.0, 21.0], [376.0, 35.0], [143.0, 34.0]], ('The Mei jer Tean appreciates your business', 0.9204817414283752)], [[[236.0, 33.0], [288.0, 33.0], [288.0, 44.0], [236.0, 44.0]], ('03/06/15', 0.9918408989906311)], [[[160.0, 43.0], [360.0, 43.0], [360.0, 57.0], [160.0, 57.0]], ('Your fast and friendly checkout was', 0.9319570064544678)], [[[203.0, 56.0], [338.0, 54.0], [338.0, 66.0], [203.0, 69.0]], ('provided by Fastlane105', 0.9529046416282654)], [[[183.0, 76.0], [343.0, 76.0], [343.0, 89.0], [183.0, 89.0]], ('MEIJER SAVINGS', 0.9500196576118469)], [[[137.0, 97.0], [283.0, 98.0], [283.0, 112.0], [137.0, 111.0]], ('SAVINGS TOTAL', 0.9611830115318298)], [[[160.0, 89.0], [210.0, 89.0], [210.0, 100.0], [160.0, 100.0]], ('SPECIALS', 0.9964510202407837)], [[[334.0, 88.0], [361.0, 88.0], [361.0, 99.0], [334.0, 99.0]], ('4.63', 0.9806280136108398)], [[[331.0, 99.0], [376.0, 99.0], [376.0, 110.0], [331.0, 110.0]], ('4.63', 0.9954966902732849)], [[[162.0, 121.0], [284.0, 121.0], [284.0, 134.0], [162.0, 134.0]], ('YOUR TOTAL', 0.9624670743942261)], [[[280.0, 120.0], [364.0, 120.0], [364.0, 133.0], [280.0, 133.0]], ('SAVINGS', 0.9916952848434448)], [[[210.0, 132.0], [294.0, 132.0], [294.0, 145.0], [210.0, 145.0]], ('SINCE 01/01/15', 0.9604212045669556)], [[[217.0, 145.0], [286.0, 145.0], [286.0, 156.0], [217.0, 156.0]], ('368.26', 0.9930327534675598)], [[[149.0, 166.0], [375.0, 166.0], [375.0, 179.0], [149.0, 179.0]], ('For additional savings and rewards visit', 0.9211541414260864)], [[[227.0, 178.0], [287.0, 178.0], [287.0, 189.0], [227.0, 189.0]], ('mPerks.com', 0.9784420132637024)], [[[139.0, 199.0], [219.0, 199.0], [219.0, 211.0], [139.0, 211.0]], ('GROCERY', 0.9969275593757629)], [[[141.0, 212.0], [163.0, 212.0], [163.0, 220.0], [141.0, 220.0]], ('4011', 0.9862664341926575)], [[[216.0, 209.0], [259.0, 209.0], [259.0, 220.0], [216.0, 220.0]], ('BANANAS', 0.9949972033500671)], [[[328.0, 207.0], [370.0, 207.0], [370.0, 221.0], [328.0, 221.0]], ('1.05F', 0.9698421359062195)], [[[166.0, 219.0], [270.0, 218.0], [271.0, 232.0], [166.0, 233.0]], ('1.951b911b/', 0.7766387462615967)], [[[298.0, 219.0], [315.0, 219.0], [315.0, 231.0], [298.0, 231.0]], ('54', 0.9945013523101807)], [[[141.0, 232.0], [169.0, 232.0], [169.0, 243.0], [141.0, 243.0]], ('4062', 0.9858347177505493)], [[[215.0, 231.0], [272.0, 231.0], [272.0, 242.0], [215.0, 242.0]], ('CUCUMBERS', 0.9895976185798645)], [[[338.0, 230.0], [354.0, 230.0], [354.0, 242.0], [338.0, 242.0]], ('59', 0.9979749321937561)], [[[139.0, 242.0], [205.0, 240.0], [205.0, 253.0], [139.0, 255.0]], ('76023675134', 0.993855893611908)], [[[217.0, 241.0], [302.0, 241.0], [302.0, 254.0], [217.0, 254.0]], ('MRJ PNAPLE CHNK', 0.9365004897117615)], [[[335.0, 241.0], [354.0, 241.0], [354.0, 254.0], [335.0, 254.0]], ('.79', 0.9749919772148132)], [[[139.0, 253.0], [164.0, 253.0], [164.0, 265.0], [139.0, 265.0]], ('4901', 0.998039722442627)], [[[217.0, 253.0], [257.0, 253.0], [257.0, 264.0], [217.0, 264.0]], ('PARSLEY', 0.9969176054000854)], [[[215.0, 263.0], [279.0, 263.0], [279.0, 274.0], [215.0, 274.0]], ('GREEN ONION', 0.9277104735374451)], [[[332.0, 254.0], [352.0, 251.0], [354.0, 264.0], [333.0, 266.0]], ("68'", 0.851919412612915)], [[[139.0, 264.0], [165.0, 264.0], [165.0, 275.0], [139.0, 275.0]], ('4068', 0.9944111704826355)], [[[157.0, 274.0], [243.0, 274.0], [243.0, 287.0], [157.0, 287.0]], ('182/1.00', 0.9079601764678955)], [[[335.0, 273.0], [353.0, 273.0], [353.0, 286.0], [335.0, 286.0]], ('.50', 0.9614184498786926)], [[[360.0, 274.0], [368.0, 274.0], [368.0, 287.0], [360.0, 287.0]], ('F', 0.8728071451187134)], [[[138.0, 285.0], [198.0, 286.0], [198.0, 297.0], [138.0, 296.0]], ('2529300280', 0.9950627088546753)], [[[216.0, 284.0], [296.0, 283.0], [296.0, 297.0], [216.0, 298.0]], ('SILK FRTY/CRMY', 0.952916145324707)], [[[328.0, 294.0], [353.0, 294.0], [353.0, 309.0], [328.0, 309.0]], ('1.59', 0.9917280673980713)], [[[329.0, 285.0], [353.0, 285.0], [353.0, 297.0], [329.0, 297.0]], ('1.19', 0.9258406162261963)], [[[140.0, 296.0], [205.0, 296.0], [205.0, 307.0], [140.0, 307.0]], ('70882039333', 0.9957842230796814)], [[[216.0, 295.0], [298.0, 295.0], [298.0, 308.0], [216.0, 308.0]], ('CRUSHED TOMATO', 0.9612309336662292)], [[[140.0, 308.0], [198.0, 308.0], [198.0, 318.0], [140.0, 318.0]], ('7680800391', 0.9970203638076782)], [[[217.0, 306.0], [302.0, 306.0], [302.0, 319.0], [217.0, 319.0]], ('GLTN FREE PASTA', 0.9499523639678955)], [[[327.0, 305.0], [354.0, 305.0], [354.0, 320.0], [327.0, 320.0]], ('2.19', 0.9688392281532288)], [[[360.0, 305.0], [368.0, 305.0], [368.0, 319.0], [360.0, 319.0]], ('F', 0.6769794225692749)], [[[140.0, 318.0], [203.0, 318.0], [203.0, 329.0], [140.0, 329.0]], ('73762801160', 0.992228090763092)], [[[218.0, 318.0], [285.0, 318.0], [285.0, 329.0], [218.0, 329.0]], ('COCNT MLK LT', 0.9027006030082703)], [[[328.0, 317.0], [354.0, 317.0], [354.0, 329.0], [328.0, 329.0]], ('2.19', 0.9959014058113098)], [[[140.0, 329.0], [203.0, 329.0], [203.0, 339.0], [140.0, 339.0]], ('75194498002', 0.9969409704208374)], [[[217.0, 329.0], [262.0, 329.0], [262.0, 338.0], [217.0, 338.0]], ('ORBASIL', 0.9338271021842957)], [[[327.0, 328.0], [353.0, 328.0], [353.0, 339.0], [327.0, 339.0]], ('2.49', 0.9952512979507446)], [[[139.0, 339.0], [208.0, 339.0], [208.0, 350.0], [139.0, 350.0]], ('4125002795', 0.996386706829071)], [[[215.0, 339.0], [253.0, 339.0], [253.0, 350.0], [215.0, 350.0]], ('SNOINO', 0.9794657826423645)], [[[166.0, 350.0], [227.0, 350.0], [227.0, 361.0], [166.0, 361.0]], ('22.69', 0.9755531549453735)], [[[328.0, 348.0], [355.0, 348.0], [355.0, 361.0], [328.0, 361.0]], ('5.38', 0.991852879524231)], [[[140.0, 360.0], [213.0, 360.0], [213.0, 370.0], [140.0, 370.0]], ('71928391707', 0.9952134490013123)], [[[214.0, 360.0], [280.0, 358.0], [280.0, 369.0], [214.0, 371.0]], ('DICE TOMATO', 0.8835060596466064)], [[[327.0, 360.0], [354.0, 360.0], [354.0, 373.0], [327.0, 373.0]], ('2.69', 0.9871091842651367)], [[[360.0, 360.0], [369.0, 360.0], [369.0, 370.0], [360.0, 370.0]], ('F', 0.9855565428733826)], [[[139.0, 372.0], [203.0, 372.0], [203.0, 383.0], [139.0, 383.0]], ('4125085424', 0.9945809245109558)], [[[214.0, 370.0], [297.0, 370.0], [297.0, 383.0], [214.0, 383.0]], ('FRZ VEGETABLES', 0.9639357328414917)], [[[164.0, 381.0], [248.0, 381.0], [248.0, 394.0], [164.0, 394.0]], ('194/5.00', 0.9062538146972656)], [[[326.0, 380.0], [355.0, 380.0], [355.0, 394.0], [326.0, 394.0]], ('1.25', 0.9750159978866577)], [[[360.0, 382.0], [369.0, 382.0], [369.0, 392.0], [360.0, 392.0]], ('F', 0.9861754775047302)], [[[138.0, 394.0], [202.0, 394.0], [202.0, 404.0], [138.0, 404.0]], ('4125096424', 0.9970383644104004)], [[[216.0, 393.0], [280.0, 393.0], [280.0, 404.0], [216.0, 404.0]], ('FROZENPEAS', 0.9897839426994324)], [[[164.0, 403.0], [244.0, 403.0], [244.0, 416.0], [164.0, 416.0]], ('104/5.00', 0.9532098770141602)], [[[327.0, 402.0], [360.0, 402.0], [360.0, 416.0], [327.0, 416.0]], ('1.25', 0.9946199059486389)], [[[136.0, 414.0], [281.0, 413.0], [281.0, 427.0], [136.0, 428.0]], ('x4125096392BLACK BEANS', 0.9444986581802368)], [[[164.0, 426.0], [224.0, 426.0], [224.0, 440.0], [164.0, 440.0]], ('309', 0.5042611956596375)], [[[164.0, 439.0], [191.0, 439.0], [191.0, 450.0], [164.0, 450.0]], ('was..', 0.8203194737434387)], [[[215.0, 438.0], [241.0, 434.0], [243.0, 446.0], [217.0, 450.0]], ('2.55', 0.8784841299057007)], [[[274.0, 437.0], [297.0, 437.0], [297.0, 448.0], [274.0, 448.0]], ('now', 0.9044820666313171)], [[[327.0, 434.0], [371.0, 434.0], [371.0, 449.0], [327.0, 449.0]], ('2.37F', 0.9784599542617798)], [[[137.0, 449.0], [203.0, 449.0], [203.0, 460.0], [137.0, 460.0]], ('4125096393', 0.9949909448623657)], [[[215.0, 447.0], [298.0, 447.0], [298.0, 460.0], [215.0, 460.0]], ('GARBANZO BEANS', 0.9607802629470825)], [[[164.0, 461.0], [187.0, 461.0], [187.0, 471.0], [164.0, 471.0]], ('SEM', 0.7174285054206848)], [[[223.0, 459.0], [243.0, 459.0], [243.0, 469.0], [223.0, 469.0]], ('.85', 0.8781256675720215)], [[[269.0, 459.0], [297.0, 459.0], [297.0, 469.0], [269.0, 469.0]], ('now', 0.7735443115234375)], [[[335.0, 456.0], [372.0, 456.0], [372.0, 470.0], [335.0, 470.0]], ('.79F', 0.9504642486572266)], [[[136.0, 469.0], [288.0, 467.0], [288.0, 481.0], [136.0, 482.0]], ('71928366037 MEIJERBROTH', 0.9039111137390137)], [[[165.0, 482.0], [226.0, 482.0], [226.0, 493.0], [165.0, 493.0]], ('21.99', 0.9879032373428345)], [[[164.0, 493.0], [186.0, 493.0], [186.0, 505.0], [164.0, 505.0]], ('was', 0.9953077435493469)], [[[216.0, 491.0], [243.0, 491.0], [243.0, 504.0], [216.0, 504.0]], ('5.58', 0.9598900079727173)], [[[276.0, 491.0], [299.0, 491.0], [299.0, 503.0], [276.0, 503.0]], ('now', 0.9845254421234131)], [[[327.0, 489.0], [372.0, 489.0], [372.0, 503.0], [327.0, 503.0]], ('3.98F', 0.9840512275695801)], [[[138.0, 505.0], [169.0, 505.0], [169.0, 516.0], [138.0, 516.0]], ('x4688', 0.9275722503662109)], [[[215.0, 502.0], [259.0, 502.0], [259.0, 516.0], [215.0, 516.0]], ('PEPPERS', 0.9944052696228027)], [[[163.0, 514.0], [244.0, 513.0], [244.0, 527.0], [163.0, 528.0]], ('102/3.00', 0.9492186903953552)], [[[164.0, 526.0], [186.0, 528.0], [185.0, 540.0], [163.0, 538.0]], ('was', 0.98897385597229)], [[[215.0, 525.0], [244.0, 525.0], [244.0, 539.0], [215.0, 539.0]], ('2.00', 0.9962026476860046)], [[[277.0, 526.0], [299.0, 526.0], [299.0, 538.0], [277.0, 538.0]], ('now', 0.8333323001861572)], [[[328.0, 522.0], [372.0, 522.0], [372.0, 537.0], [328.0, 537.0]], ('1.50F', 0.9770201444625854)], [[[136.0, 538.0], [202.0, 536.0], [202.0, 550.0], [136.0, 552.0]], ('*9955508206', 0.9526116847991943)], [[[215.0, 536.0], [252.0, 534.0], [253.0, 548.0], [215.0, 550.0]], ('K-CUPS', 0.9808178544044495)], [[[164.0, 551.0], [186.0, 551.0], [186.0, 562.0], [164.0, 562.0]], ('was', 0.993659496307373)], [[[217.0, 549.0], [243.0, 549.0], [243.0, 560.0], [217.0, 560.0]], ('669', 0.9621167182922363)], [[[276.0, 549.0], [299.0, 549.0], [299.0, 560.0], [276.0, 560.0]], ('now', 0.911113440990448)], [[[329.0, 545.0], [373.0, 545.0], [373.0, 559.0], [329.0, 559.0]], ('4.99F', 0.9691068530082703)], [[[136.0, 561.0], [200.0, 561.0], [200.0, 572.0], [136.0, 572.0]], ('3597135928', 0.9965450167655945)], [[[215.0, 559.0], [281.0, 557.0], [281.0, 571.0], [215.0, 573.0]], ('RED CABBAGE', 0.9490638971328735)], [[[162.0, 573.0], [242.0, 570.0], [242.0, 583.0], [162.0, 587.0]], ('105/5.00', 0.9894106388092041)], [[[166.0, 589.0], [182.0, 589.0], [182.0, 597.0], [166.0, 597.0]], ('eas', 0.6608710885047913)], [[[217.0, 585.0], [241.0, 585.0], [241.0, 596.0], [217.0, 596.0]], ('1.29', 0.9946474432945251)], [[[279.0, 585.0], [299.0, 585.0], [299.0, 596.0], [279.0, 596.0]], ('now', 0.8403210639953613)], [[[330.0, 581.0], [361.0, 581.0], [361.0, 595.0], [330.0, 595.0]], ('1.00', 0.989707350730896)], [[[139.0, 622.0], [191.0, 622.0], [191.0, 633.0], [139.0, 633.0]], ('TOTAL', 0.9430362582206726)], [[[205.0, 614.0], [254.0, 614.0], [254.0, 625.0], [205.0, 625.0]], ('Mperks #', 0.8777733445167542)], [[[274.0, 614.0], [333.0, 614.0], [333.0, 625.0], [274.0, 625.0]], ('65', 0.9900422096252441)], [[[209.0, 630.0], [266.0, 632.0], [265.0, 646.0], [209.0, 644.0]], ('TOTAL TAX', 0.9229276180267334)], [[[336.0, 633.0], [355.0, 633.0], [355.0, 645.0], [336.0, 645.0]], ('.00', 0.9922546744346619)], [[[136.0, 651.0], [231.0, 652.0], [231.0, 666.0], [136.0, 665.0]], ('PAYMENTS', 0.9952982068061829)], [[[211.0, 644.0], [240.0, 644.0], [240.0, 655.0], [211.0, 655.0]], ('TOTAL', 0.9858173131942749)], [[[322.0, 643.0], [355.0, 643.0], [355.0, 657.0], [322.0, 657.0]], ('38.67', 0.9862667918205261)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "03/06/15", "time": "", "subtotal": "", "tax": ".00", "total": "38.67", "ignore": "mPerks.com ", "tips": "", "line_items": [{"item_key": "", "item_name": "GREENONION", "item_value": "1.05", "item_quantity": "1"}, {"item_key": "", "item_name": "PARSLEY", "item_value": ".59", "item_quantity": "1"}, {"item_key": "", "item_name": "CUCUMBERS", "item_value": ".79", "item_quantity": "1"}, {"item_key": "", "item_name": "BANANAS", "item_value": ".89", "item_quantity": "1"}, {"item_key": "", "item_name": "MRJPNAPLECHNK", "item_value": ".50", "item_quantity": "1"}, {"item_key": "", "item_name": "SILKFRTY/CRMY", "item_value": "1.19", "item_quantity": "1"}, {"item_key": "", "item_name": "CRUSHEDTOMATO", "item_value": "1.59", "item_quantity": "1"}, {"item_key": "", "item_name": "GLTNFREEPASTA", "item_value": "2.19", "item_quantity": "1"}, {"item_key": "", "item_name": "COCNTMLKLT", "item_value": "2.19", "item_quantity": "1"}, {"item_key": "", "item_name": "ORBASIL", "item_value": "2.49", "item_quantity": "1"}, {"item_key": "", "item_name": "ONIONS", "item_value": "5.38", "item_quantity": "1"}, {"item_key": "", "item_name": "DICETOMATO", "item_value": "2.69", "item_quantity": "1"}, {"item_key": "", "item_name": "FRZVEGETABLES", "item_value": "1.25", "item_quantity": "1"}, {"item_key": "", "item_name": "FROZENPEAS", "item_value": "1.25", "item_quantity": "1"}, {"item_key": "", "item_name": "BLACKBEANS", "item_value": "2.37", "item_quantity": "1"}, {"item_key": "", "item_name": "GARBANZOBEANS", "item_value": ".79", "item_quantity": "1"}, {"item_key": "", "item_name": "MEIJERBROTH", "item_value": "3.98", "item_quantity": "1"}, {"item_key": "", "item_name": "PEPPERS", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "K-CUPS", "item_value": "4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "REDCABBAGE", "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	[[[[1208.0, 277.0], [1467.0, 277.0], [1467.0, 382.0], [1208.0, 382.0]], ('Facci', 0.9944698214530945)], [[[982.0, 411.0], [1717.0, 386.0], [1720.0, 497.0], [986.0, 521.0]], ('11095 Resort Rd', 0.9543256759643555)], [[[790.0, 549.0], [1909.0, 508.0], [1913.0, 618.0], [794.0, 660.0]], ('E11icott CityMD 21042', 0.9487532377243042)], [[[1075.0, 665.0], [1662.0, 646.0], [1665.0, 763.0], [1079.0, 781.0]], ('410.750.0001', 0.995350182056427)], [[[670.0, 924.0], [1241.0, 924.0], [1241.0, 1040.0], [670.0, 1040.0]], ('185 Ka11ey T', 0.8734862208366394)], [[[1844.0, 1152.0], [2166.0, 1138.0], [2171.0, 1260.0], [1849.0, 1274.0]], ('Gst 5', 0.9383926391601562)], [[[1236.0, 1168.0], [1587.0, 1168.0], [1587.0, 1284.0], [1236.0, 1284.0]], ('Chk 640', 0.9687803387641907)], [[[626.0, 1184.0], [1011.0, 1184.0], [1011.0, 1284.0], [626.0, 1284.0]], ('Tb152/1', 0.9950444102287292)], [[[999.0, 1307.0], [1772.0, 1288.0], [1775.0, 1399.0], [1001.0, 1417.0]], ("Apr20'14 06:06PM", 0.9267768859863281)], [[[720.0, 1549.0], [1577.0, 1555.0], [1576.0, 1655.0], [719.0, 1649.0]], ('2 House Chardonnay', 0.956096351146698)], [[[1761.0, 1657.0], [2011.0, 1641.0], [2018.0, 1763.0], [1768.0, 1778.0]], ('12.00', 0.9955317378044128)], [[[824.0, 1677.0], [1126.0, 1677.0], [1126.0, 1776.0], [824.0, 1776.0]], ('@6.00', 0.9795360565185547)], [[[727.0, 1781.0], [1226.0, 1794.0], [1223.0, 1910.0], [724.0, 1897.0]], ('1 Iced Tea', 0.944124698638916)], [[[1807.0, 1787.0], [2016.0, 1787.0], [2016.0, 1892.0], [1807.0, 1892.0]], ('2.00', 0.9971547722816467)], [[[738.0, 1908.0], [1264.0, 1921.0], [1262.0, 2020.0], [735.0, 2008.0]], ('1 Root Beer', 0.9546938538551331)], [[[1807.0, 1903.0], [2016.0, 1903.0], [2016.0, 2009.0], [1807.0, 2009.0]], ('2.00', 0.9969772696495056)], [[[743.0, 2025.0], [1495.0, 2037.0], [1493.0, 2147.0], [741.0, 2135.0]], ('1 Po11o Trentino', 0.9497673511505127)], [[[1780.0, 2025.0], [2016.0, 2025.0], [2016.0, 2130.0], [1780.0, 2130.0]], ('17.00', 0.9918237924575806)], [[[747.0, 2152.0], [1582.0, 2158.0], [1581.0, 2258.0], [747.0, 2252.0]], ('1 Kids Chix Finger', 0.9447859525680542)], [[[1807.0, 2147.0], [2016.0, 2147.0], [2016.0, 2252.0], [1807.0, 2252.0]], ('6.00', 0.9971692562103271)], [[[743.0, 2263.0], [1560.0, 2275.0], [1559.0, 2385.0], [741.0, 2373.0]], ('2 Gnocchi Caprese', 0.9480317234992981)], [[[1774.0, 2379.0], [2021.0, 2379.0], [2021.0, 2484.0], [1774.0, 2484.0]], ('36.00', 0.9970501065254211)], [[[846.0, 2396.0], [1192.0, 2396.0], [1192.0, 2496.0], [846.0, 2496.0]], ('@18.00', 0.994251549243927)], [[[758.0, 2507.0], [1598.0, 2501.0], [1599.0, 2611.0], [758.0, 2618.0]], ('1 Ang1 Hair Sophia', 0.9617797136306763)], [[[1774.0, 2501.0], [2021.0, 2501.0], [2021.0, 2601.0], [1774.0, 2601.0]], ('15.00', 0.9958810806274414)], [[[1818.0, 2612.0], [2021.0, 2612.0], [2021.0, 2717.0], [1818.0, 2717.0]], ('4.00', 0.9945439696311951)], [[[763.0, 2634.0], [1197.0, 2634.0], [1197.0, 2733.0], [763.0, 2733.0]], ('1 Chicken', 0.9652272462844849)], [[[1785.0, 2844.0], [2027.0, 2844.0], [2027.0, 2949.0], [1785.0, 2949.0]], ('94.00', 0.998206615447998)], [[[860.0, 2868.0], [1242.0, 2848.0], [1249.0, 2970.0], [867.0, 2990.0]], ('Subtotal', 0.9942847490310669)], [[[1824.0, 2960.0], [2027.0, 2960.0], [2027.0, 3065.0], [1824.0, 3065.0]], ('6.00', 0.9949687719345093)], [[[861.0, 2990.0], [1298.0, 2970.0], [1303.0, 3086.0], [866.0, 3106.0]], ('Sales Tax', 0.9525313973426819)], [[[1487.0, 3089.0], [2019.0, 3070.0], [2023.0, 3180.0], [1491.0, 3200.0]], ('100.00', 0.9979252219200134)], [[[674.0, 3128.0], [1298.0, 3097.0], [1304.0, 3208.0], [679.0, 3239.0]], ('06:43PM Tota1', 0.9139468669891357)], [[[1840.0, 3303.0], [2038.0, 3303.0], [2038.0, 3414.0], [1840.0, 3414.0]], ('4.92', 0.9933292865753174)], [[[876.0, 3361.0], [1306.0, 3329.0], [1315.0, 3450.0], [885.0, 3483.0]], ('Tax1 Co11', 0.9367830753326416)], [[[1846.0, 3425.0], [2043.0, 3425.0], [2043.0, 3536.0], [1846.0, 3536.0]], ('1.08', 0.9929837584495544)], [[[881.0, 3494.0], [1317.0, 3455.0], [1327.0, 3572.0], [891.0, 3611.0]], ('Tax2 Co11', 0.959465742111206)], [[[694.0, 3760.0], [2025.0, 3644.0], [2035.0, 3760.0], [705.0, 3877.0]], ('Thank you for dining with us!', 0.9533902406692505)], [[[683.0, 4020.0], [1938.0, 3909.0], [1948.0, 4020.0], [693.0, 4131.0]], ('Please base tip off of pre', 0.9369304180145264)], [[[689.0, 4153.0], [1964.0, 4030.0], [1975.0, 4147.0], [700.0, 4270.0]], ('discounted check amount.We', 0.9741310477256775)], [[[689.0, 4280.0], [1756.0, 4180.0], [1767.0, 4296.0], [699.0, 4397.0]], ('greatly appreciate it!', 0.9585637450218201)]]	{"store_name": "Facci", "store_addr": "11095ResortRd EllicottCity,MD21042", "telephone": "410.750.0001", "date": "Apr20'14", "time": "06:43PM", "subtotal": "94.00", "tax": "6.00 4.92 1.08", "total": "100.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HouseChardonnay", "item_value": "12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "IcedTea", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RootBeer", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PolloTrentino", "item_value": "17.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KidsChixFinger", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GnocchiCaprese", "item_value": "36.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AnglHairSophia", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Chicken", "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	[[[[43.0, 110.0], [229.0, 102.0], [231.0, 148.0], [45.0, 156.0]], ('spirit', 0.9969956874847412)], [[[332.0, 140.0], [599.0, 147.0], [599.0, 170.0], [331.0, 163.0]], ('PAYMENT RECEIPT', 0.9749295711517334)], [[[945.0, 137.0], [999.0, 144.0], [999.0, 187.0], [940.0, 180.0]], ('sp', 0.8429567813873291)], [[[101.0, 151.0], [190.0, 151.0], [190.0, 166.0], [101.0, 166.0]], ('airlines', 0.991355299949646)], [[[34.0, 201.0], [278.0, 200.0], [278.0, 223.0], [34.0, 224.0]], ('Date:250ct14', 0.9599860310554504)], [[[28.0, 262.0], [539.0, 264.0], [538.0, 286.0], [28.0, 283.0]], ('Confirmation Number: RyNQwG', 0.9292615056037903)], [[[24.0, 325.0], [483.0, 324.0], [483.0, 346.0], [24.0, 347.0]], ('ReceiptAuth # RYNQwG-04', 0.9230499267578125)], [[[22.0, 389.0], [296.0, 387.0], [296.0, 411.0], [22.0, 413.0]], ('Received: Cash', 0.9567345976829529)], [[[615.0, 387.0], [681.0, 387.0], [681.0, 410.0], [615.0, 410.0]], ('AMOUNT', 0.994297981262207)], [[[742.0, 387.0], [912.0, 387.0], [912.0, 409.0], [742.0, 409.0]], ('$200.00USD', 0.9572200775146484)], [[[19.0, 455.0], [171.0, 453.0], [171.0, 478.0], [19.0, 481.0]], ('Remarks:', 0.9776551723480225)], [[[19.0, 520.0], [486.0, 512.0], [487.0, 537.0], [19.0, 545.0]], ('RECEIVEDBY AGENT:31596', 0.9085399508476257)], [[[22.0, 621.0], [209.0, 621.0], [209.0, 642.0], [22.0, 642.0]], ('SIGNATURE:', 0.9837427139282227)]]	{"store_name": "spirit airlines", "store_addr": "", "telephone": "", "date": "Date:25Oct14", "time": "", "subtotal": "", "tax": "", "total": "$200.00", "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	[[[[49.0, 59.0], [165.0, 64.0], [165.0, 80.0], [49.0, 74.0]], ('Lot 47592.Ground Flr', 0.8725899457931519)], [[[49.0, 71.0], [142.0, 73.0], [142.0, 87.0], [49.0, 85.0]], ('No 1.Jaan 26/70A.', 0.8651450872421265)], [[[49.0, 82.0], [137.0, 86.0], [136.0, 100.0], [49.0, 96.0]], ('Desa Sri Hartanas', 0.9167883992195129)], [[[49.0, 92.0], [141.0, 97.0], [141.0, 111.0], [49.0, 106.0]], ('50480.KualaL', 0.868781328201294)], [[[49.0, 105.0], [166.0, 105.0], [166.0, 120.0], [49.0, 120.0]], ('GST ID No001960', 0.7270067930221558)], [[[49.0, 118.0], [127.0, 115.0], [127.0, 128.0], [49.0, 131.0]], ('T03-62510', 0.8180173635482788)], [[[48.0, 129.0], [137.0, 129.0], [137.0, 142.0], [48.0, 142.0]], ('E infofea.', 0.7850952744483948)], [[[48.0, 149.0], [131.0, 149.0], [131.0, 162.0], [48.0, 162.0]], ('Dale21-05-2015', 0.8919270634651184)], [[[48.0, 160.0], [135.0, 160.0], [135.0, 173.0], [48.0, 173.0]], ('T15 PH', 0.7351633906364441)], [[[45.0, 180.0], [120.0, 182.0], [120.0, 196.0], [45.0, 194.0]], ('Stori: Terence', 0.8540766835212708)], [[[48.0, 171.0], [173.0, 171.0], [173.0, 184.0], [48.0, 184.0]], ('IInv10.SH1-6878', 0.7578345537185669)], [[[45.0, 205.0], [104.0, 205.0], [104.0, 216.0], [45.0, 216.0]], ('Description', 0.9027426242828369)], [[[208.0, 202.0], [248.0, 200.0], [249.0, 214.0], [209.0, 216.0]], ('U/P Qty', 0.9271755814552307)], [[[256.0, 199.0], [287.0, 199.0], [287.0, 213.0], [256.0, 213.0]], ('Total', 0.9915879964828491)], [[[44.0, 229.0], [102.0, 229.0], [102.0, 240.0], [44.0, 240.0]], ('Opera kunye', 0.8022959232330322)], [[[201.0, 226.0], [236.0, 226.0], [236.0, 240.0], [201.0, 240.0]], ('16.90', 0.988721489906311)], [[[261.0, 223.0], [291.0, 223.0], [291.0, 237.0], [261.0, 237.0]], ('16.90', 0.982659637928009)], [[[41.0, 250.0], [69.0, 253.0], [67.0, 267.0], [40.0, 264.0]], ('aty:', 0.9048970937728882)], [[[84.0, 253.0], [92.0, 253.0], [92.0, 262.0], [84.0, 262.0]], ('1', 0.8255541920661926)], [[[197.0, 250.0], [251.0, 250.0], [251.0, 264.0], [197.0, 264.0]], ('Sub Total:', 0.893282413482666)], [[[264.0, 247.0], [294.0, 247.0], [294.0, 262.0], [264.0, 262.0]], ('16.90', 0.9061301350593567)], [[[201.0, 264.0], [252.0, 264.0], [252.0, 275.0], [201.0, 275.0]], ('Discount:', 0.9660689234733582)], [[[269.0, 259.0], [295.0, 259.0], [295.0, 274.0], [269.0, 274.0]], ('0.00', 0.9936066269874573)], [[[173.0, 276.0], [253.0, 276.0], [253.0, 289.0], [173.0, 289.0]], ('Service Charge:', 0.970203697681427)], [[[271.0, 272.0], [297.0, 272.0], [297.0, 287.0], [271.0, 287.0]], ('1.69', 0.9922970533370972)], [[[173.0, 288.0], [252.0, 286.0], [253.0, 300.0], [173.0, 302.0]], ('Tota1 GST 6X', 0.8385996222496033)], [[[272.0, 285.0], [298.0, 285.0], [298.0, 301.0], [272.0, 301.0]], ('1.12', 0.9946811199188232)], [[[173.0, 302.0], [254.0, 302.0], [254.0, 315.0], [173.0, 315.0]], ('Rounding Value:', 0.9521694183349609)], [[[270.0, 299.0], [298.0, 299.0], [298.0, 314.0], [270.0, 314.0]], ('-0.01', 0.9563475847244263)], [[[109.0, 330.0], [256.0, 326.0], [256.0, 340.0], [110.0, 344.0]], ('Grand Total Inlc. GST 6%', 0.8515036702156067)], [[[271.0, 326.0], [302.0, 326.0], [302.0, 341.0], [271.0, 341.0]], ('19.70', 0.9960039854049683)], [[[32.0, 375.0], [172.0, 367.0], [173.0, 384.0], [33.0, 392.0]], ('PaymentCash-RM20.00', 0.957431972026825)], [[[33.0, 392.0], [127.0, 385.0], [128.0, 400.0], [34.0, 407.0]], ('Balance:RM0.30', 0.9329734444618225)], [[[33.0, 406.0], [127.0, 402.0], [128.0, 416.0], [34.0, 420.0]], ('Remarks:front 1', 0.9446184039115906)]]	{"store_name": "", "store_addr": "No1,Jalan28/70A,", "telephone": "", "date": "21-05-2015", "time": "", "subtotal": "16.90", "tax": "1.12", "total": "19.70", "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	[[[[482.0, 19.0], [621.0, 23.0], [621.0, 53.0], [481.0, 49.0]], ("LIMONI'S", 0.9112876653671265)], [[[370.0, 59.0], [754.0, 59.0], [754.0, 82.0], [370.0, 82.0]], ('losefstadter Strasse 73', 0.9624285697937012)], [[[467.0, 87.0], [625.0, 91.0], [624.0, 119.0], [466.0, 115.0]], ('1000 Wien', 0.8474591970443726)], [[[161.0, 187.0], [308.0, 191.0], [307.0, 226.0], [160.0, 222.0]], ('Rechnung', 0.9972032308578491)], [[[160.0, 227.0], [360.0, 227.0], [360.0, 260.0], [160.0, 260.0]], ('Be legnunser', 0.8873822093009949)], [[[431.0, 224.0], [560.0, 220.0], [561.0, 255.0], [432.0, 259.0]], ('hh6LE', 0.768614649772644)], [[[156.0, 260.0], [255.0, 264.0], [253.0, 298.0], [154.0, 294.0]], ('Datun', 0.8943232297897339)], [[[436.0, 262.0], [804.0, 257.0], [805.0, 288.0], [436.0, 293.0]], ('26.07.201610:53:26', 0.9475052356719971)], [[[155.0, 300.0], [355.0, 300.0], [355.0, 332.0], [155.0, 332.0]], ('Zah lungsart', 0.9374732375144958)], [[[434.0, 301.0], [648.0, 301.0], [648.0, 329.0], [434.0, 329.0]], ('Barzahlung', 0.9438023567199707)], [[[151.0, 334.0], [285.0, 338.0], [284.0, 372.0], [149.0, 368.0]], ('Wahrung', 0.9931955933570862)], [[[432.0, 330.0], [544.0, 334.0], [543.0, 369.0], [430.0, 365.0]], (':Euro', 0.9610978364944458)], [[[147.0, 372.0], [320.0, 375.0], [319.0, 410.0], [146.0, 406.0]], ('Bedienung', 0.9948079586029053)], [[[431.0, 372.0], [703.0, 367.0], [704.0, 400.0], [431.0, 405.0]], ('Mitarbeiter 1', 0.9573335647583008)], [[[146.0, 411.0], [246.0, 411.0], [246.0, 446.0], [146.0, 446.0]], ('Tisch', 0.9969146847724915)], [[[434.0, 410.0], [594.0, 410.0], [594.0, 439.0], [434.0, 439.0]], ('Tisch 1', 0.9374383091926575)], [[[710.0, 561.0], [794.0, 561.0], [794.0, 599.0], [710.0, 599.0]], ('4,50', 0.9140884280204773)], [[[864.0, 558.0], [948.0, 558.0], [948.0, 596.0], [864.0, 596.0]], ('9.00', 0.9734214544296265)], [[[151.0, 573.0], [636.0, 561.0], [637.0, 599.0], [152.0, 611.0]], ('2Smoothie mitte (20%)', 0.9056501984596252)], [[[712.0, 604.0], [796.0, 604.0], [796.0, 642.0], [712.0, 642.0]], ('4.20', 0.8900888562202454)], [[[865.0, 601.0], [951.0, 601.0], [951.0, 639.0], [865.0, 639.0]], ('4,20', 0.8720112442970276)], [[[151.0, 617.0], [521.0, 609.0], [522.0, 643.0], [152.0, 652.0]], ('1 Antipasti (10%)', 0.8891644477844238)], [[[712.0, 647.0], [798.0, 647.0], [798.0, 683.0], [712.0, 683.0]], ("06'h", 0.8966886401176453)], [[[869.0, 645.0], [953.0, 645.0], [953.0, 681.0], [869.0, 681.0]], ("06'h", 0.9324061870574951)], [[[150.0, 657.0], [520.0, 652.0], [520.0, 686.0], [150.0, 691.0]], ('1Hoastbeef(10%)', 0.8732104897499084)], [[[715.0, 690.0], [801.0, 690.0], [801.0, 727.0], [715.0, 727.0]], ('3.20', 0.8557974100112915)], [[[872.0, 686.0], [958.0, 686.0], [958.0, 724.0], [872.0, 724.0]], ('3.20', 0.8750027418136597)], [[[148.0, 701.0], [636.0, 694.0], [636.0, 729.0], [148.0, 736.0]], ('1 Cappuccino Restaurant', 0.9663017392158508)], [[[239.0, 741.0], [423.0, 735.0], [425.0, 775.0], [240.0, 781.0]], ('0420%', 0.985922634601593)], [[[719.0, 777.0], [806.0, 777.0], [806.0, 815.0], [719.0, 815.0]], ('4,50', 0.8976327776908875)], [[[877.0, 772.0], [968.0, 772.0], [968.0, 815.0], [877.0, 815.0]], ('4,50', 0.8965681195259094)], [[[143.0, 789.0], [644.0, 778.0], [645.0, 818.0], [144.0, 828.0]], ('1 * Alfred Restaurant 10', 0.8812349438667297)], [[[214.0, 829.0], [264.0, 829.0], [264.0, 872.0], [214.0, 872.0]], ('%)', 0.8241904973983765)], [[[442.0, 970.0], [743.0, 963.0], [744.0, 1000.0], [443.0, 1008.0]], ('SUMME:', 0.9197990894317627)], [[[723.0, 968.0], [977.0, 961.0], [978.0, 995.0], [724.0, 1003.0]], ('25.80e', 0.7896673679351807)], [[[332.0, 1070.0], [465.0, 1070.0], [465.0, 1111.0], [332.0, 1111.0]], ('Brutto', 0.9957413077354431)], [[[606.0, 1065.0], [719.0, 1065.0], [719.0, 1106.0], [606.0, 1106.0]], ('Netto', 0.9979941248893738)], [[[801.0, 1063.0], [996.0, 1063.0], [996.0, 1103.0], [801.0, 1103.0]], ('enthalten', 0.9671468734741211)], [[[93.0, 1073.0], [183.0, 1073.0], [183.0, 1118.0], [93.0, 1118.0]], ('MwSt', 0.9920834898948669)], [[[591.0, 1116.0], [719.0, 1116.0], [719.0, 1157.0], [591.0, 1157.0]], ('12,36', 0.8673726916313171)], [[[885.0, 1108.0], [1002.0, 1104.0], [1004.0, 1152.0], [887.0, 1156.0]], ('1,24', 0.8491430878639221)], [[[105.0, 1125.0], [181.0, 1120.0], [184.0, 1166.0], [108.0, 1171.0]], ('10%', 0.9146451950073242)], [[[333.0, 1121.0], [461.0, 1121.0], [461.0, 1162.0], [333.0, 1162.0]], ('13,60', 0.8716551661491394)], [[[591.0, 1165.0], [724.0, 1165.0], [724.0, 1211.0], [591.0, 1211.0]], ('10.17', 0.8877827525138855)], [[[892.0, 1160.0], [1008.0, 1160.0], [1008.0, 1208.0], [892.0, 1208.0]], ('2.03', 0.874940812587738)], [[[99.0, 1173.0], [180.0, 1173.0], [180.0, 1224.0], [99.0, 1224.0]], ('20%', 0.9990156292915344)], [[[328.0, 1172.0], [462.0, 1168.0], [463.0, 1216.0], [329.0, 1220.0]], ('12.20', 0.946404755115509)], [[[72.0, 1291.0], [437.0, 1282.0], [438.0, 1321.0], [73.0, 1330.0]], ('UIDATU60654388', 0.8883303999900818)], [[[180.0, 1401.0], [935.0, 1385.0], [936.0, 1430.0], [181.0, 1445.0]], ('Herzlichen Dank fur lhren Besuch!', 0.9195815324783325)], [[[387.0, 1515.0], [713.0, 1504.0], [714.0, 1550.0], [388.0, 1561.0]], ('www.LIMONIS.at', 0.9593876600265503)]]	{"store_name": "LIMONI's", "store_addr": "1080Wien JosefstadterStrasse73", "telephone": "", "date": "26.07.2016", "time": "10:53:26", "subtotal": "", "tax": "", "total": "25,80\u20ac", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "%\u3015", "item_value": "4,50", "item_quantity": "1"}, {"item_key": "", "item_name": "AIfredRestaurant(10", "item_value": "3,20", "item_quantity": "1"}, {"item_key": "", "item_name": "0,4(20%)", "item_value": "4,90", "item_quantity": "1"}, {"item_key": "", "item_name": "CappuccinoRestaurant", "item_value": "4,20", "item_quantity": "1"}, {"item_key": "", "item_name": "Roastbeef\u301410%\u3015", "item_value": "9,00", "item_quantity": "1"}, {"item_key": "", "item_name": "Antipasti\u301410%\u3015", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Smoothiemittel\u301420%\u3015", "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	[[[[88.0, 28.0], [206.0, 17.0], [208.0, 41.0], [90.0, 52.0]], ('STAPLES', 0.9947333931922913)], [[[21.0, 84.0], [269.0, 84.0], [269.0, 97.0], [21.0, 97.0]], ('STAPLES 365 SAVINGS', 0.9469752311706543)], [[[33.0, 109.0], [255.0, 109.0], [255.0, 122.0], [33.0, 122.0]], ('Lou prices.Every iten. Every day.', 0.91716068983078)], [[[32.0, 122.0], [249.0, 122.0], [249.0, 135.0], [32.0, 135.0]], ('He 110x Price Hatch Guarantee It.', 0.8975257277488708)], [[[28.0, 157.0], [256.0, 157.0], [256.0, 169.0], [28.0, 169.0]], ('345 Park avenue South 26th Street', 0.9110560417175293)], [[[85.0, 169.0], [206.0, 169.0], [206.0, 182.0], [85.0, 182.0]], ('Neu YorkNY 10010', 0.8644521236419678)], [[[98.0, 182.0], [192.0, 181.0], [192.0, 194.0], [98.0, 195.0]], ('212683-3257', 0.950766384601593)], [[[7.0, 216.0], [39.0, 216.0], [39.0, 230.0], [7.0, 230.0]], ('SALE', 0.9974727630615234)], [[[165.0, 216.0], [282.0, 216.0], [282.0, 228.0], [165.0, 228.0]], ('141949300317311', 0.9955975413322449)], [[[156.0, 229.0], [283.0, 227.0], [283.0, 241.0], [156.0, 242.0]], ('016107/24/0211:11', 0.9470767974853516)], [[[8.0, 263.0], [58.0, 263.0], [58.0, 278.0], [8.0, 278.0]], ('QTY SKU', 0.8982042670249939)], [[[208.0, 264.0], [284.0, 260.0], [285.0, 276.0], [209.0, 279.0]], ('OUR PRICE', 0.9138467311859131)], [[[34.0, 299.0], [153.0, 299.0], [153.0, 312.0], [34.0, 312.0]], ('100 PACK SPINDLE C', 0.9209989905357361)], [[[34.0, 313.0], [117.0, 313.0], [117.0, 326.0], [34.0, 326.0]], ('037849927045', 0.992631196975708)], [[[241.0, 311.0], [278.0, 311.0], [278.0, 326.0], [241.0, 326.0]], ('29.94', 0.99339759349823)], [[[11.0, 328.0], [17.0, 328.0], [17.0, 334.0], [11.0, 334.0]], ('1.', 0.6640729904174805)], [[[33.0, 325.0], [154.0, 324.0], [154.0, 337.0], [33.0, 338.0]], ('100 PACK SPINDLE C', 0.9337155818939209)], [[[32.0, 338.0], [116.0, 338.0], [116.0, 351.0], [32.0, 351.0]], ('037849927045', 0.9842521548271179)], [[[240.0, 336.0], [279.0, 336.0], [279.0, 350.0], [240.0, 350.0]], ('29.94', 0.9830425381660461)], [[[9.0, 352.0], [18.0, 352.0], [18.0, 361.0], [9.0, 361.0]], ('1', 0.9266121983528137)], [[[34.0, 350.0], [154.0, 350.0], [154.0, 363.0], [34.0, 363.0]], ('100 PACK SPINDLE C', 0.9258599877357483)], [[[32.0, 363.0], [116.0, 363.0], [116.0, 375.0], [32.0, 375.0]], ('037849927045', 0.9784152507781982)], [[[241.0, 361.0], [278.0, 361.0], [278.0, 375.0], [241.0, 375.0]], ('29.94', 0.9893444180488586)], [[[9.0, 376.0], [61.0, 376.0], [61.0, 387.0], [9.0, 387.0]], ('SUBTOTAL', 0.9945600032806396)], [[[241.0, 373.0], [278.0, 373.0], [278.0, 387.0], [241.0, 387.0]], ('89.82', 0.9947056770324707)], [[[32.0, 387.0], [153.0, 386.0], [153.0, 400.0], [32.0, 401.0]], ('Standard Tax8.25', 0.9577297568321228)], [[[246.0, 386.0], [278.0, 386.0], [278.0, 400.0], [246.0, 400.0]], ('7.41', 0.9775273203849792)], [[[8.0, 399.0], [45.0, 399.0], [45.0, 413.0], [8.0, 413.0]], ('TOOTL', 0.7680006623268127)], [[[235.0, 399.0], [279.0, 399.0], [279.0, 412.0], [235.0, 412.0]], ('$97.23', 0.9850900173187256)], [[[7.0, 424.0], [40.0, 424.0], [40.0, 438.0], [7.0, 438.0]], ('Cash', 0.982840895652771)], [[[240.0, 423.0], [278.0, 423.0], [278.0, 437.0], [240.0, 437.0]], ('40.00', 0.9928653836250305)], [[[8.0, 438.0], [44.0, 438.0], [44.0, 452.0], [8.0, 452.0]], ('TOTAL', 0.9980001449584961)], [[[236.0, 437.0], [278.0, 437.0], [278.0, 450.0], [236.0, 450.0]], ('137.23', 0.9872549176216125)], [[[50.0, 461.0], [192.0, 461.0], [192.0, 474.0], [50.0, 474.0]], ('TOTALITEMS', 0.9847243428230286)], [[[215.0, 461.0], [230.0, 461.0], [230.0, 474.0], [215.0, 474.0]], ('3', 0.9987441301345825)], [[[91.0, 487.0], [201.0, 487.0], [201.0, 500.0], [91.0, 500.0]], ('Cancare and Save', 0.8884726762771606)], [[[53.0, 500.0], [235.0, 500.0], [235.0, 512.0], [53.0, 512.0]], ('with Staples-brand prccucts', 0.9266242980957031)], [[[34.0, 535.0], [256.0, 533.0], [256.0, 545.0], [34.0, 547.0]], ('THANK YOU FOR SHOPPING AT STAPLES!', 0.874765932559967)]]	{"store_name": "STAPLES", "store_addr": "345ParkAvenueSouth#26thStreet NewYork,NY10010", "telephone": "(212)683-3267", "date": "07/24/02", "time": "11:11", "subtotal": "89.82", "tax": "7.41", "total": "$97.23", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "100PACKSPINDLE", "item_value": "29.94", "item_quantity": "1"}, {"item_key": "", "item_name": "100PACKSPINDLE", "item_value": "29.94", "item_quantity": "1"}, {"item_key": "", "item_name": "100PACKSPINDLE", "item_value": "29.94", "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	[[[[215.0, 64.0], [495.0, 84.0], [489.0, 165.0], [209.0, 145.0]], ("AmalBi's", 0.822730541229248)], [[[193.0, 167.0], [498.0, 170.0], [497.0, 192.0], [193.0, 188.0]], ('ITALIAN RESTAURAN', 0.9583790898323059)], [[[228.0, 249.0], [439.0, 256.0], [438.0, 287.0], [227.0, 280.0]], ('4703 NE Fremont', 0.9488969445228577)], [[[197.0, 277.0], [484.0, 285.0], [483.0, 316.0], [196.0, 308.0]], ('Portland, OR97213', 0.9174227118492126)], [[[242.0, 306.0], [443.0, 315.0], [441.0, 344.0], [240.0, 335.0]], ('503284-6747', 0.9905116558074951)], [[[121.0, 370.0], [342.0, 368.0], [342.0, 397.0], [122.0, 399.0]], ('199996 Bartende', 0.9760795831680298)], [[[98.0, 435.0], [236.0, 431.0], [237.0, 459.0], [99.0, 463.0]], ('Tb1 FT1/1', 0.9131225943565369)], [[[280.0, 433.0], [404.0, 439.0], [403.0, 467.0], [279.0, 461.0]], ('Chk 4705', 0.9519506692886353)], [[[492.0, 440.0], [562.0, 440.0], [562.0, 470.0], [492.0, 470.0]], ('Gst', 0.9744507670402527)], [[[561.0, 441.0], [587.0, 441.0], [587.0, 467.0], [561.0, 467.0]], ('3', 0.9985523819923401)], [[[219.0, 463.0], [467.0, 475.0], [466.0, 505.0], [218.0, 492.0]], ("Sep17'11 05:12PM", 0.9288123250007629)], [[[120.0, 533.0], [216.0, 533.0], [216.0, 564.0], [120.0, 564.0]], ('1 Soda', 0.914040744304657)], [[[481.0, 541.0], [552.0, 538.0], [553.0, 573.0], [483.0, 575.0]], ('2.50', 0.995529055595398)], [[[118.0, 568.0], [376.0, 577.0], [375.0, 607.0], [117.0, 598.0]], ('1H.H.Meatbal1s', 0.9164456129074097)], [[[488.0, 578.0], [556.0, 578.0], [556.0, 609.0], [488.0, 609.0]], ('4.00', 0.9957901239395142)], [[[114.0, 607.0], [376.0, 617.0], [375.0, 645.0], [113.0, 635.0]], ('1H.HChick Ray', 0.9228665828704834)], [[[489.0, 615.0], [558.0, 612.0], [560.0, 644.0], [490.0, 647.0]], ('4.00', 0.9941418170928955)], [[[109.0, 646.0], [364.0, 653.0], [363.0, 685.0], [108.0, 677.0]], ('1H.H.Chz Brd', 0.9475557804107666)], [[[490.0, 652.0], [563.0, 650.0], [564.0, 684.0], [491.0, 687.0]], ('3.00', 0.9978044033050537)], [[[107.0, 686.0], [328.0, 693.0], [327.0, 725.0], [106.0, 718.0]], ('1 Green Lakes', 0.9216566681861877)], [[[494.0, 691.0], [566.0, 688.0], [567.0, 724.0], [495.0, 726.0]], ('4.50', 0.9961236715316772)], [[[103.0, 727.0], [348.0, 735.0], [346.0, 770.0], [102.0, 762.0]], ('1 GL Sycam Zin', 0.9288687109947205)], [[[496.0, 733.0], [570.0, 730.0], [571.0, 765.0], [497.0, 768.0]], ('6.00', 0.9963189363479614)], [[[59.0, 815.0], [294.0, 819.0], [294.0, 855.0], [58.0, 852.0]], ('05:33PM Total', 0.9168797135353088)], [[[399.0, 820.0], [575.0, 814.0], [577.0, 852.0], [400.0, 858.0]], ('24.00', 0.9597956538200378)], [[[51.0, 911.0], [582.0, 905.0], [583.0, 944.0], [51.0, 949.0]], ('AWARDED 2011 HH of the Year!', 0.9487587809562683)]]	{"store_name": "", "store_addr": "4703NEFremont Portland,OR97213", "telephone": "(503)284-6747", "date": "Sep17'11", "time": "05:33PM", "subtotal": "", "tax": "", "total": "24.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "HH.Meatballs", "item_value": "Soda", "item_quantity": "1"}, {"item_key": "", "item_name": "HH.ChickRay", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "H.H.ChzBrd", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GreenLakes", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GLSycamZin", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "6.00", "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	[[[[263.0, 141.0], [325.0, 141.0], [325.0, 159.0], [263.0, 159.0]], ('BILL', 0.9874844551086426)], [[[136.0, 177.0], [219.0, 177.0], [219.0, 195.0], [136.0, 195.0]], ('17/11/2010', 0.9982802271842957)], [[[343.0, 175.0], [458.0, 175.0], [458.0, 193.0], [343.0, 193.0]], ('No:1011170039', 0.9481602311134338)], [[[136.0, 198.0], [256.0, 198.0], [256.0, 213.0], [136.0, 213.0]], ('Service: VIVIAN', 0.9263783693313599)], [[[135.0, 217.0], [265.0, 217.0], [265.0, 235.0], [135.0, 235.0]], ('Table:6', 0.9197116494178772)], [[[131.0, 254.0], [226.0, 256.0], [225.0, 275.0], [131.0, 273.0]], ('DESCRIPTION', 0.9971314072608948)], [[[410.0, 255.0], [461.0, 255.0], [461.0, 275.0], [410.0, 275.0]], ('AMOUNT', 0.9953736662864685)], [[[132.0, 298.0], [451.0, 298.0], [451.0, 316.0], [132.0, 316.0]], ("STIR FRIED EGGPLANT WITH CHEF'S SPECIAL", 0.9490526914596558)], [[[132.0, 319.0], [279.0, 319.0], [279.0, 334.0], [132.0, 334.0]], ('SWEET & SOUR SAUCE', 0.918670654296875)], [[[304.0, 340.0], [462.0, 340.0], [462.0, 358.0], [304.0, 358.0]], ('1X$15.80=$15.80', 0.9688655734062195)], [[[131.0, 361.0], [406.0, 362.0], [405.0, 381.0], [131.0, 380.0]], ('Vermicelli with spicy minced pork', 0.9507155418395996)], [[[303.0, 383.0], [463.0, 382.0], [463.0, 400.0], [303.0, 401.0]], ('1X$13.80=$13.80', 0.9528440237045288)], [[[129.0, 401.0], [365.0, 404.0], [365.0, 426.0], [129.0, 422.0]], ('FRIED SNOW PEA LEAVES/', 0.9601141214370728)], [[[304.0, 427.0], [464.0, 427.0], [464.0, 445.0], [304.0, 445.0]], ('1X$15.80=$15.80', 0.9690595865249634)], [[[131.0, 448.0], [272.0, 448.0], [272.0, 466.0], [131.0, 466.0]], ('tasty duck in pot', 0.946716845035553)], [[[303.0, 469.0], [463.0, 469.0], [463.0, 487.0], [303.0, 487.0]], ('1X$18.80=$18.80', 0.9521303176879883)], [[[128.0, 491.0], [230.0, 490.0], [230.0, 509.0], [128.0, 510.0]], ('Braised Beef', 0.9735830426216125)], [[[305.0, 515.0], [464.0, 515.0], [464.0, 530.0], [305.0, 530.0]], ('1X$13.80=$13.80', 0.9079660773277283)], [[[128.0, 535.0], [222.0, 535.0], [222.0, 555.0], [128.0, 555.0]], ('RICE/', 0.9536104202270508)], [[[321.0, 558.0], [466.0, 558.0], [466.0, 576.0], [321.0, 576.0]], ('4X$1.50=$6.00', 0.9274244904518127)], [[[129.0, 580.0], [264.0, 580.0], [264.0, 598.0], [129.0, 598.0]], ('TEA/CHRYSTHEMU', 0.9849991798400879)], [[[321.0, 603.0], [466.0, 603.0], [466.0, 621.0], [321.0, 621.0]], ('1X$5.00=$5.00', 0.9610458016395569)], [[[127.0, 625.0], [229.0, 625.0], [229.0, 643.0], [127.0, 643.0]], ('WONG LO KATE', 0.9477577209472656)], [[[321.0, 647.0], [467.0, 647.0], [467.0, 666.0], [321.0, 666.0]], ('1X$3.00=$3.00', 0.9262427091598511)], [[[125.0, 671.0], [229.0, 671.0], [229.0, 689.0], [125.0, 689.0]], ('WONG LO KATE', 0.9376686215400696)], [[[309.0, 693.0], [468.0, 693.0], [468.0, 711.0], [309.0, 711.0]], ('1X$3.00=-$3.00', 0.8944095969200134)], [[[331.0, 739.0], [417.0, 739.0], [417.0, 758.0], [331.0, 758.0]], ('Amount:', 0.9216552376747131)], [[[413.0, 739.0], [469.0, 739.0], [469.0, 758.0], [413.0, 758.0]], ('$89.00', 0.9699702858924866)], [[[312.0, 762.0], [425.0, 762.0], [425.0, 783.0], [312.0, 783.0]], ('Discount:', 0.9525834321975708)], [[[420.0, 763.0], [469.0, 760.0], [470.0, 780.0], [421.0, 782.0]], ('$7.80', 0.9659836888313293)], [[[246.0, 788.0], [466.0, 788.0], [466.0, 817.0], [246.0, 817.0]], ('Total:$81.20', 0.9450516700744629)], [[[320.0, 820.0], [421.0, 820.0], [421.0, 838.0], [320.0, 838.0]], ('Balance', 0.9769938588142395)], [[[413.0, 820.0], [468.0, 820.0], [468.0, 839.0], [413.0, 839.0]], ('$81.20', 0.9579360485076904)], [[[124.0, 862.0], [432.0, 865.0], [432.0, 883.0], [123.0, 880.0]], ('Order Number:0039', 0.9135662317276001)], [[[202.0, 903.0], [391.0, 907.0], [390.0, 925.0], [202.0, 922.0]], ('THANK YOU FOR VISITING', 0.9430698156356812)], [[[217.0, 924.0], [365.0, 926.0], [365.0, 944.0], [217.0, 942.0]], ('PLEASE CALL AGAIN', 0.9635842442512512)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "17/11/2010", "time": "", "subtotal": "$89.00", "tax": "", "total": "$81.20 $81.20", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "STIRFRIEDEGGPLANTWITHCHEF'SSPECIAL", "item_value": "$15.80", "item_quantity": "1"}, {"item_key": "", "item_name": "SWEET&SOURSAUCE", "item_value": "$13.80", "item_quantity": "1"}, {"item_key": "", "item_name": "Vermicelliwithspicymincedpork", "item_value": "$15.80", "item_quantity": "1"}, {"item_key": "", "item_name": "FRIEDSNOWPEALEAVES/", "item_value": "$18.80", "item_quantity": "1"}, {"item_key": "", "item_name": "tastyduckinpot", "item_value": "$13.80", "item_quantity": "1"}, {"item_key": "", "item_name": "BraisedBeef", "item_value": "$6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RICE/", "item_value": "$5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TEA/CHRYSTHEMU", "item_value": "$3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WONGLOKATE", "item_value": "-$3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WONGLOKATE", "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	[[[[33.0, 43.0], [196.0, 41.0], [196.0, 64.0], [33.0, 66.0]], ('PIZZA PINO', 0.9472262263298035)], [[[35.0, 74.0], [194.0, 73.0], [194.0, 87.0], [35.0, 88.0]], ('RESTAURANT', 0.9961217641830444)], [[[53.0, 95.0], [162.0, 95.0], [162.0, 108.0], [53.0, 108.0]], ('57 80du Mont parnasse', 0.8893793225288391)], [[[75.0, 108.0], [137.0, 105.0], [137.0, 119.0], [76.0, 122.0]], ('75006 PARIS', 0.9150485396385193)], [[[57.0, 121.0], [157.0, 118.0], [158.0, 132.0], [57.0, 135.0]], ('TEL01.45.49.19.08', 0.9747483730316162)], [[[6.0, 141.0], [85.0, 138.0], [85.0, 156.0], [6.0, 158.0]], ('TABLE206', 0.9905840158462524)], [[[19.0, 156.0], [115.0, 155.0], [116.0, 169.0], [20.0, 170.0]], ('2COUERT LOTFI2', 0.9013203382492065)], [[[26.0, 176.0], [70.0, 176.0], [70.0, 190.0], [26.0, 190.0]], ('1MOJITO', 0.7894778847694397)], [[[186.0, 175.0], [212.0, 175.0], [212.0, 190.0], [186.0, 190.0]], ('6.90', 0.8763465881347656)], [[[27.0, 190.0], [55.0, 190.0], [55.0, 203.0], [27.0, 203.0]], ('1KIR', 0.9659435749053955)], [[[186.0, 187.0], [212.0, 187.0], [212.0, 202.0], [186.0, 202.0]], ('5.00', 0.9930784702301025)], [[[27.0, 202.0], [129.0, 202.0], [129.0, 215.0], [27.0, 215.0]], ('1UERRE COTE PROVENCE', 0.932181715965271)], [[[186.0, 200.0], [212.0, 200.0], [212.0, 215.0], [186.0, 215.0]], ('3.60', 0.9833444356918335)], [[[28.0, 215.0], [88.0, 215.0], [88.0, 226.0], [28.0, 226.0]], ('1PIZZA THON', 0.8841175436973572)], [[[183.0, 213.0], [212.0, 213.0], [212.0, 228.0], [183.0, 228.0]], ('14.10', 0.9218190908432007)], [[[28.0, 228.0], [100.0, 228.0], [100.0, 239.0], [28.0, 239.0]], ('1P1ZZA CAPRINA', 0.8757808804512024)], [[[184.0, 226.0], [211.0, 226.0], [211.0, 238.0], [184.0, 238.0]], ('13.90', 0.9949315786361694)], [[[24.0, 251.0], [118.0, 251.0], [118.0, 265.0], [24.0, 265.0]], ('HT Service Conpris', 0.914849042892456)], [[[146.0, 246.0], [167.0, 251.0], [163.0, 267.0], [142.0, 262.0]], ('TUR', 0.9410802721977234)], [[[193.0, 248.0], [214.0, 252.0], [212.0, 265.0], [191.0, 262.0]], ('ITC', 0.8009807467460632)], [[[9.0, 264.0], [48.0, 264.0], [48.0, 278.0], [9.0, 278.0]], ('TVA20', 0.8138883709907532)], [[[93.0, 261.0], [119.0, 264.0], [117.0, 279.0], [91.0, 276.0]], ('7.17', 0.9613987803459167)], [[[140.0, 262.0], [166.0, 262.0], [166.0, 278.0], [140.0, 278.0]], ('1.43', 0.9454843401908875)], [[[187.0, 262.0], [214.0, 262.0], [214.0, 277.0], [187.0, 277.0]], ('8.60', 0.9551153779029846)], [[[8.0, 277.0], [48.0, 277.0], [48.0, 291.0], [8.0, 291.0]], ('TA107', 0.8321429491043091)], [[[89.0, 275.0], [119.0, 275.0], [119.0, 290.0], [89.0, 290.0]], ('31.73', 0.986777663230896)], [[[141.0, 275.0], [167.0, 275.0], [167.0, 290.0], [141.0, 290.0]], ('3.17', 0.9831375479698181)], [[[184.0, 274.0], [214.0, 277.0], [213.0, 291.0], [183.0, 288.0]], ('34.90', 0.9920253753662109)], [[[8.0, 290.0], [78.0, 288.0], [79.0, 302.0], [8.0, 305.0]], ('Dot Service 14', 0.8427276015281677)], [[[91.0, 288.0], [116.0, 288.0], [116.0, 303.0], [91.0, 303.0]], ('4.78', 0.9781035780906677)], [[[13.0, 323.0], [81.0, 323.0], [81.0, 338.0], [13.0, 338.0]], ('TOTAL', 0.9977801442146301)], [[[150.0, 320.0], [221.0, 320.0], [221.0, 338.0], [150.0, 338.0]], ('43.50', 0.9985498189926147)], [[[11.0, 346.0], [138.0, 346.0], [138.0, 359.0], [11.0, 359.0]], ('SAME0125-06-2016 00-27-58', 0.8741395473480225)], [[[9.0, 359.0], [207.0, 357.0], [208.0, 371.0], [9.0, 373.0]], ('C23-ServZ3-CAISSE1-NOTE030019/1', 0.9071966409683228)], [[[58.0, 379.0], [161.0, 378.0], [162.0, 392.0], [58.0, 393.0]], ('MERCI DE VOTRE VISITE', 0.9348275065422058)], [[[86.0, 393.0], [136.0, 393.0], [136.0, 404.0], [86.0, 404.0]], ('A BIENTOT', 0.7702665328979492)], [[[58.0, 404.0], [167.0, 403.0], [167.0, 417.0], [58.0, 418.0]], ('RCS.56206937700116', 0.9663114547729492)], [[[62.0, 417.0], [156.0, 417.0], [156.0, 430.0], [62.0, 430.0]], ('SERUICE COMPRIS 147', 0.9016821980476379)], [[[15.0, 430.0], [210.0, 429.0], [210.0, 443.0], [15.0, 444.0]], ('Le restaurant n accepte plus Les cheques', 0.9150522351264954)]]	{"store_name": "PIZZAPINO", "store_addr": "5780,duMontparnasse 75006PARIS", "telephone": "01.45.49.19.08", "date": "25-06-2016", "time": "00:27:58", "subtotal": "", "tax": "1.43 3.17", "total": "43.50", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "MOJITO", "item_value": "6.90", "item_quantity": "1"}, {"item_key": "", "item_name": "KIR", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VERRECOTEPROVENCE", "item_value": "3.60", "item_quantity": "1"}, {"item_key": "", "item_name": "PIZZATHON", "item_value": "14.10", "item_quantity": "1"}, {"item_key": "", "item_name": "PIZZACAPRINA", "item_value": "13.90", "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	[[[[91.0, 95.0], [194.0, 95.0], [194.0, 108.0], [91.0, 108.0]], ('Cracker Barrel Store a97', 0.8621821999549866)], [[[75.0, 112.0], [137.0, 115.0], [136.0, 126.0], [75.0, 123.0]], ('1341770.Samnte', 0.8150382041931152)], [[[117.0, 104.0], [167.0, 106.0], [167.0, 117.0], [117.0, 115.0]], ('Athens.AL', 0.8781954646110535)], [[[74.0, 132.0], [116.0, 132.0], [116.0, 143.0], [74.0, 143.0]], ('TSL145/1', 0.7840200662612915)], [[[135.0, 132.0], [176.0, 132.0], [176.0, 143.0], [135.0, 143.0]], ('3960', 0.6119964122772217)], [[[185.0, 132.0], [214.0, 132.0], [214.0, 143.0], [185.0, 143.0]], ('GST Z', 0.8460829854011536)], [[[107.0, 142.0], [181.0, 142.0], [181.0, 154.0], [107.0, 154.0]], ('JAN15145:50PH', 0.8952280282974243)], [[[80.0, 160.0], [113.0, 160.0], [113.0, 171.0], [80.0, 171.0]], ('L.MATER', 0.8113690614700317)], [[[180.0, 160.0], [202.0, 160.0], [202.0, 172.0], [180.0, 172.0]], ('0.00', 0.9649001359939575)], [[[80.0, 170.0], [143.0, 170.0], [143.0, 181.0], [80.0, 181.0]], ('1 LSP TNOR SAL', 0.9034604430198669)], [[[180.0, 170.0], [202.0, 170.0], [202.0, 182.0], [180.0, 182.0]], ('5.99', 0.9951003193855286)], [[[94.0, 180.0], [153.0, 180.0], [153.0, 191.0], [94.0, 191.0]], ('HONEY FRENCH', 0.9451725482940674)], [[[94.0, 188.0], [162.0, 190.0], [161.0, 201.0], [94.0, 199.0]], ('BAKED POTATO $', 0.8450111746788025)], [[[74.0, 198.0], [113.0, 200.0], [112.0, 211.0], [74.0, 209.0]], ('1WATER', 0.859957218170166)], [[[179.0, 199.0], [205.0, 199.0], [205.0, 214.0], [179.0, 214.0]], ('0.00', 0.9893766045570374)], [[[75.0, 209.0], [142.0, 211.0], [142.0, 221.0], [75.0, 219.0]], ('LSP TNOR SAL', 0.8554044365882874)], [[[90.0, 228.0], [163.0, 231.0], [162.0, 245.0], [89.0, 242.0]], ('BAKED POTATO$', 0.9215412735939026)], [[[82.0, 240.0], [105.0, 242.0], [104.0, 254.0], [80.0, 252.0]], ('FOOD', 0.8925296664237976)], [[[177.0, 239.0], [206.0, 241.0], [205.0, 257.0], [176.0, 254.0]], ('11.98', 0.9830247759819031)], [[[80.0, 251.0], [158.0, 253.0], [157.0, 267.0], [80.0, 265.0]], ('State&Local Tax', 0.9270026683807373)], [[[181.0, 253.0], [206.0, 253.0], [206.0, 268.0], [181.0, 268.0]], ('1.08', 0.976575493812561)], [[[82.0, 266.0], [144.0, 266.0], [144.0, 277.0], [82.0, 277.0]], ('Amount Due', 0.9216863512992859)], [[[141.0, 263.0], [205.0, 265.0], [205.0, 279.0], [140.0, 277.0]], ('$13.06', 0.9958539605140686)], [[[88.0, 287.0], [197.0, 289.0], [197.0, 302.0], [87.0, 300.0]], ('Gratuity Not Inc luded', 0.9395636916160583)], [[[116.0, 311.0], [169.0, 314.0], [168.0, 328.0], [115.0, 325.0]], ('Thank You', 0.9497787952423096)], [[[100.0, 322.0], [188.0, 326.0], [187.0, 343.0], [100.0, 339.0]], ('Please Cone Back', 0.9182429313659668)], [[[95.0, 336.0], [192.0, 340.0], [191.0, 355.0], [94.0, 351.0]], ('Please Pay Cashier', 0.9502030611038208)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "JAN1514", "time": "5:50PM", "subtotal": "11.98", "tax": "1.08", "total": "$13.06", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MATER", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LSPTNORSAL", "item_value": "5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "HONEYFRENCH", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HAKEDPOTATO$", "item_value": "5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "WATER", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "LSPTNORSAL", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "BLEUCHEESE", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "BAKEDPOTATO$", "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	[[[[26.0, 26.0], [135.0, 26.0], [135.0, 39.0], [26.0, 39.0]], ('12/17/20165:09PM', 0.9639999866485596)], [[[174.0, 27.0], [298.0, 28.0], [298.0, 42.0], [174.0, 41.0]], ('Sales Receipt #19204', 0.9478357434272766)], [[[25.0, 40.0], [89.0, 40.0], [89.0, 54.0], [25.0, 54.0]], ('Store:CRP', 0.9398438930511475)], [[[221.0, 43.0], [299.0, 43.0], [299.0, 55.0], [221.0, 55.0]], ('Workstation:1', 0.9464457631111145)], [[[24.0, 59.0], [133.0, 61.0], [133.0, 86.0], [24.0, 84.0]], ('FIREARMS', 0.9949721693992615)], [[[195.0, 62.0], [292.0, 62.0], [292.0, 86.0], [195.0, 86.0]], ('NKNOWN', 0.9924995303153992)], [[[98.0, 91.0], [229.0, 94.0], [228.0, 111.0], [97.0, 108.0]], ('Firearms Unknown', 0.9863258004188538)], [[[84.0, 109.0], [239.0, 110.0], [239.0, 124.0], [83.0, 123.0]], ('416 National City Blvd.Unit B', 0.9134292602539062)], [[[101.0, 125.0], [227.0, 125.0], [227.0, 138.0], [101.0, 138.0]], ('National City CA 91950', 0.921715497970581)], [[[122.0, 139.0], [206.0, 139.0], [206.0, 152.0], [122.0, 152.0]], ('(619)507-3174', 0.9314752221107483)], [[[75.0, 152.0], [251.0, 153.0], [251.0, 166.0], [75.0, 165.0]], ('Returns Accepted Within 14 Days', 0.9409196376800537)], [[[86.0, 167.0], [243.0, 167.0], [243.0, 180.0], [86.0, 180.0]], ('Store Credit Only. No Refunds', 0.9074358940124512)], [[[24.0, 180.0], [112.0, 181.0], [112.0, 195.0], [24.0, 194.0]], ('Cashier Grover', 0.9361743927001953)], [[[25.0, 204.0], [88.0, 204.0], [88.0, 218.0], [25.0, 218.0]], ('Item Name', 0.9259658455848694)], [[[156.0, 205.0], [176.0, 205.0], [176.0, 217.0], [156.0, 217.0]], ('Qty', 0.8386014103889465)], [[[194.0, 203.0], [285.0, 203.0], [285.0, 217.0], [194.0, 217.0]], ('Price Ext Price', 0.9342387914657593)], [[[25.0, 218.0], [133.0, 218.0], [133.0, 231.0], [25.0, 231.0]], ('ACE Skeleton Stock', 0.9468418955802917)], [[[168.0, 217.0], [226.0, 217.0], [226.0, 231.0], [168.0, 231.0]], ('1$99.99', 0.9880655407905579)], [[[247.0, 217.0], [300.0, 217.0], [300.0, 231.0], [247.0, 231.0]], ('$99.99 N', 0.9005712270736694)], [[[31.0, 234.0], [62.0, 234.0], [62.0, 244.0], [31.0, 244.0]], ('Black', 0.9956488609313965)], [[[99.0, 233.0], [124.0, 233.0], [124.0, 244.0], [99.0, 244.0]], ('Rifle', 0.9774574041366577)], [[[170.0, 232.0], [238.0, 232.0], [238.0, 245.0], [170.0, 245.0]], ('D%20.01%', 0.9637870788574219)], [[[190.0, 246.0], [238.0, 246.0], [238.0, 260.0], [190.0, 260.0]], ('Subtotal', 0.9373344779014587)], [[[262.0, 246.0], [302.0, 246.0], [302.0, 260.0], [262.0, 260.0]], ('$99.99', 0.9929597973823547)], [[[58.0, 261.0], [142.0, 260.0], [142.0, 274.0], [58.0, 275.0]], ('Govt Theft AKA', 0.9170626401901245)], [[[192.0, 261.0], [239.0, 261.0], [239.0, 274.0], [192.0, 274.0]], ('9%Tax', 0.976642906665802)], [[[259.0, 261.0], [302.0, 261.0], [302.0, 274.0], [259.0, 274.0]], ('+$9.00', 0.987476110458374)], [[[154.0, 276.0], [241.0, 276.0], [241.0, 289.0], [154.0, 289.0]], ('ECEIPT TOTAL:', 0.9047724604606628)], [[[257.0, 277.0], [302.0, 277.0], [302.0, 288.0], [257.0, 288.0]], ('$108.99', 0.997296154499054)], [[[84.0, 300.0], [161.0, 300.0], [161.0, 313.0], [84.0, 313.0]], ('Cash:S108.99', 0.9283477663993835)], [[[119.0, 326.0], [233.0, 326.0], [233.0, 339.0], [119.0, 339.0]], ('Total Sales Discounts.', 0.9372511506080627)], [[[264.0, 326.0], [303.0, 326.0], [303.0, 340.0], [264.0, 340.0]], ('$25.01', 0.9911906719207764)], [[[91.0, 382.0], [240.0, 382.0], [240.0, 396.0], [91.0, 396.0]], ('Thanks for shopping with us!', 0.9618536233901978)], [[[148.0, 435.0], [183.0, 435.0], [183.0, 449.0], [148.0, 449.0]], ('19204', 0.9989684224128723)]]	{"store_name": "FIREARMS UNKNOWN FirearmsUnknown", "store_addr": "416NationalCityBlvd.UnitB NaticnalCity.CA91950", "telephone": "(619)507-3174", "date": "12/17/2016", "time": "5:09PM", "subtotal": "$99.99", "tax": "+$9.00", "total": "$108.99", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ACESkeletonStock", "item_value": "$99.99N", "item_quantity": "1"}, {"item_key": "ItemName", "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	[[[[177.0, 320.0], [560.0, 315.0], [560.0, 356.0], [178.0, 361.0]], ('PRE-PD CELLULAR!', 0.950458288192749)], [[[177.0, 365.0], [555.0, 361.0], [556.0, 402.0], [178.0, 407.0]], ('MONEY ORDERS AND', 0.963293194770813)], [[[268.0, 409.0], [557.0, 406.0], [558.0, 447.0], [269.0, 450.0]], ('WE NOW OFFER', 0.9456116557121277)], [[[177.0, 457.0], [557.0, 452.0], [558.0, 493.0], [178.0, 498.0]], ('ONLY $3.59 +TAX!', 0.8930900692939758)], [[[126.0, 505.0], [560.0, 500.0], [560.0, 539.0], [126.0, 544.0]], ('WOW! MARLBORO CIGS', 0.9269685745239258)], [[[102.0, 644.0], [485.0, 639.0], [486.0, 678.0], [103.0, 683.0]], ('NB OIL CO INC #1', 0.8893241286277771)], [[[110.0, 690.0], [485.0, 690.0], [485.0, 728.0], [110.0, 728.0]], ('17966BROOKHURST', 0.9482415318489075)], [[[102.0, 733.0], [466.0, 728.0], [467.0, 774.0], [103.0, 779.0]], ('FOUNTAIN VALLEY', 0.9719536304473877)], [[[100.0, 823.0], [229.0, 817.0], [232.0, 867.0], [102.0, 873.0]], ('SHELL', 0.9979073405265808)], [[[107.0, 872.0], [485.0, 870.0], [485.0, 911.0], [108.0, 913.0]], ('17966BROOKHURST', 0.948360025882721)], [[[107.0, 918.0], [490.0, 916.0], [490.0, 957.0], [107.0, 959.0]], ('FOUNTAIN VALL CA', 0.9615457057952881)], [[[107.0, 968.0], [466.0, 963.0], [467.0, 1002.0], [108.0, 1007.0]], ('RT93002654548', 0.9910643100738525)], [[[107.0, 1060.0], [305.0, 1055.0], [306.0, 1096.0], [108.0, 1101.0]], ('02/18/07', 0.9949771165847778)], [[[397.0, 1055.0], [586.0, 1055.0], [586.0, 1096.0], [397.0, 1096.0]], ('11:24:35', 0.9656124114990234)], [[[110.0, 1105.0], [236.0, 1105.0], [236.0, 1146.0], [110.0, 1146.0]], ('Debit', 0.9972395896911621)], [[[462.0, 1098.0], [590.0, 1098.0], [590.0, 1146.0], [462.0, 1146.0]], ('Acct#', 0.9639002084732056)], [[[110.0, 1149.0], [401.0, 1149.0], [401.0, 1194.0], [110.0, 1194.0]], ('XXXXXXXXXXXX', 0.9183462262153625)], [[[112.0, 1240.0], [425.0, 1240.0], [425.0, 1286.0], [112.0, 1286.0]], ('RCPT#24-0059', 0.9838094711303711)], [[[114.0, 1288.0], [377.0, 1283.0], [378.0, 1329.0], [115.0, 1334.0]], ('Inv# 480756', 0.9172155261039734)], [[[112.0, 1329.0], [259.0, 1329.0], [259.0, 1377.0], [112.0, 1377.0]], ('Auth#', 0.9278165698051453)], [[[114.0, 1381.0], [308.0, 1381.0], [308.0, 1423.0], [114.0, 1423.0]], ('PIN USED', 0.9348491430282593)], [[[117.0, 1473.0], [308.0, 1473.0], [308.0, 1514.0], [117.0, 1514.0]], ('PUMP22', 0.9934021830558777)], [[[119.0, 1521.0], [287.0, 1521.0], [287.0, 1562.0], [119.0, 1562.0]], ('regular', 0.9836755990982056)], [[[446.0, 1512.0], [597.0, 1512.0], [597.0, 1560.0], [446.0, 1560.0]], ('8.352G', 0.9750816822052002)], [[[114.0, 1565.0], [215.0, 1559.0], [218.0, 1602.0], [116.0, 1608.0]], ('SELF', 0.9971367120742798)], [[[117.0, 1610.0], [329.0, 1610.0], [329.0, 1651.0], [117.0, 1651.0]], ('PRICE/GAL', 0.9959077835083008)], [[[446.0, 1603.0], [597.0, 1603.0], [597.0, 1651.0], [446.0, 1651.0]], ('$2.499', 0.9949970841407776)], [[[117.0, 1701.0], [357.0, 1701.0], [357.0, 1747.0], [117.0, 1747.0]], ('FUEL TOTAL', 0.9541980624198914)], [[[448.0, 1697.0], [600.0, 1697.0], [600.0, 1744.0], [448.0, 1744.0]], ('$20.87', 0.9939011931419373)], [[[121.0, 1792.0], [243.0, 1792.0], [243.0, 1843.0], [121.0, 1843.0]], ('TOTAL', 0.9981905221939087)], [[[447.0, 1791.0], [601.0, 1785.0], [603.0, 1835.0], [449.0, 1841.0]], ('$20.87', 0.9954640865325928)], [[[126.0, 1932.0], [434.0, 1929.0], [434.0, 1970.0], [126.0, 1973.0]], ('THANK YOU FOR', 0.9405272006988525)], [[[121.0, 1980.0], [508.0, 1975.0], [509.0, 2021.0], [122.0, 2026.0]], ('SHOPPING WITH US', 0.9582049250602722)], [[[121.0, 2028.0], [550.0, 2023.0], [551.0, 2064.0], [122.0, 2069.0]], ('PLEASE COME AGAIN!', 0.9276244640350342)]]	{"store_name": "NBOILCOINC#1", "store_addr": "17966BROOKHURST FOUNTAINVALLEY 17966BROOKHURST FOUNTAINVALLCA", "telephone": "", "date": "02/18/07", "time": "11:24:35", "subtotal": "$20.87", "tax": "", "total": "$20.87", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "regular", "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	[[[[532.0, 16.0], [716.0, 20.0], [715.0, 62.0], [531.0, 58.0]], ('ST.MARC CAFE', 0.9496719241142273)], [[[394.0, 66.0], [852.0, 74.0], [851.0, 112.0], [394.0, 105.0]], ('1 Harbour a1k #01-108/109/110', 0.9251039028167725)], [[[420.0, 115.0], [820.0, 118.0], [820.0, 163.0], [420.0, 160.0]], ('Vivo City Singapore 098585', 0.9595029354095459)], [[[479.0, 165.0], [758.0, 168.0], [758.0, 209.0], [479.0, 205.0]], ('Te1 No.62222309', 0.9084831476211548)], [[[430.0, 213.0], [806.0, 217.0], [805.0, 262.0], [430.0, 258.0]], ('GST Reg.No 201133091R', 0.9415950775146484)], [[[546.0, 312.0], [663.0, 312.0], [663.0, 355.0], [546.0, 355.0]], ('RECEIPT', 0.9933310151100159)], [[[162.0, 400.0], [276.0, 400.0], [276.0, 443.0], [162.0, 443.0]], ('Open By', 0.9454547166824341)], [[[338.0, 405.0], [469.0, 405.0], [469.0, 447.0], [338.0, 447.0]], ('Hovard', 0.9449378848075867)], [[[704.0, 408.0], [947.0, 414.0], [946.0, 455.0], [704.0, 450.0]], ('Tine:19:30:45', 0.9025124311447144)], [[[207.0, 534.0], [504.0, 551.0], [502.0, 596.0], [204.0, 579.0]], ('Choco Banana Split', 0.9526122212409973)], [[[994.0, 560.0], [1073.0, 560.0], [1073.0, 607.0], [994.0, 607.0]], ('8.22', 0.991463303565979)], [[[135.0, 585.0], [154.0, 585.0], [154.0, 618.0], [135.0, 618.0]], ('1', 0.5870738625526428)], [[[198.0, 584.0], [583.0, 604.0], [581.0, 647.0], [196.0, 628.0]], ('S Preniun Hot Chocolate', 0.9522159695625305)], [[[998.0, 612.0], [1075.0, 612.0], [1075.0, 658.0], [998.0, 658.0]], ('4.67', 0.9938229322433472)], [[[128.0, 635.0], [148.0, 635.0], [148.0, 667.0], [128.0, 667.0]], ('1', 0.5263227224349976)], [[[188.0, 636.0], [580.0, 657.0], [578.0, 697.0], [186.0, 676.0]], ('LPreniun Hot Chocolate', 0.9421001672744751)], [[[999.0, 665.0], [1080.0, 665.0], [1080.0, 710.0], [999.0, 710.0]], ('6.54', 0.9911075830459595)], [[[214.0, 734.0], [488.0, 753.0], [485.0, 799.0], [211.0, 781.0]], ('Sub Total(SGD', 0.9107496738433838)], [[[976.0, 768.0], [1086.0, 768.0], [1086.0, 817.0], [976.0, 817.0]], ('19.43', 0.9781257510185242)], [[[240.0, 789.0], [485.0, 806.0], [482.0, 851.0], [237.0, 834.0]], ('GST 7 Incl.', 0.8921967148780823)], [[[1006.0, 822.0], [1088.0, 822.0], [1088.0, 873.0], [1006.0, 873.0]], ('1.37', 0.989531934261322)], [[[271.0, 846.0], [480.0, 859.0], [477.0, 906.0], [268.0, 893.0]], ('Total(SGD', 0.9286490678787231)], [[[991.0, 880.0], [1091.0, 880.0], [1091.0, 930.0], [991.0, 930.0]], ('20.80', 0.9919473528862)], [[[186.0, 896.0], [478.0, 914.0], [475.0, 966.0], [183.0, 947.0]], ('Round Ant(SGD', 0.9360901713371277)], [[[1009.0, 938.0], [1096.0, 938.0], [1096.0, 990.0], [1009.0, 990.0]], ('0.00', 0.9952054619789124)], [[[102.0, 1007.0], [467.0, 1031.0], [464.0, 1084.0], [99.0, 1061.0]], ('TOTAL.AMOUNT SGD', 0.9380148649215698)], [[[999.0, 1056.0], [1106.0, 1061.0], [1104.0, 1116.0], [997.0, 1111.0]], ('20.80', 0.981031596660614)], [[[34.0, 1135.0], [125.0, 1135.0], [125.0, 1195.0], [34.0, 1195.0]], ('CASH', 0.9984328150749207)], [[[417.0, 1149.0], [524.0, 1154.0], [522.0, 1211.0], [414.0, 1206.0]], ('50.00', 0.9819327592849731)], [[[27.0, 1197.0], [153.0, 1208.0], [148.0, 1271.0], [22.0, 1260.0]], ('Change', 0.9983797669410706)], [[[414.0, 1216.0], [519.0, 1221.0], [517.0, 1279.0], [411.0, 1274.0]], ('29.20', 0.9822739362716675)], [[[23.0, 1274.0], [335.0, 1286.0], [333.0, 1337.0], [21.0, 1326.0]], ('No.of Print :1', 0.8910743594169617)], [[[18.0, 1343.0], [762.0, 1376.0], [760.0, 1427.0], [16.0, 1394.0]], ('Print Time :20 Jan 2014 07:30:46 PM', 0.9010578989982605)], [[[72.0, 1473.0], [717.0, 1470.0], [717.0, 1517.0], [72.0, 1520.0]], ('http://reviews-all.blogspot.sg', 0.9635352492332458)], [[[97.0, 1491.0], [1026.0, 1534.0], [1024.0, 1589.0], [94.0, 1546.0]], ('mttp://.tacebook.con/SaintMarcCafeSingapore', 0.8975349068641663)]]	{"store_name": "ST.MARCCAFE", "store_addr": "VivoCitySingapore098585 1HarbourWalk#01-108/109/110", "telephone": "62222309", "date": "20Jan2014 19:30:45", "time": "07:30:46PM", "subtotal": "19.43", "tax": "1.37", "total": "20.80 20.80", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "LPremiunHotChocolate", "item_value": "8.22", "item_quantity": "1"}, {"item_key": "", "item_name": "SPremiuHotChocolate", "item_value": "4.67", "item_quantity": "1"}, {"item_key": "", "item_name": "ChocoBananaSplit", "item_value": "6.54", "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], [219.0, 39.0], [218.0, 54.0], [97.0, 45.0]], ('SARI RATU', 0.9502867460250854)], [[[75.0, 41.0], [275.0, 57.0], [274.0, 74.0], [74.0, 58.0]], ('Restaurant & Catering PTE LTD', 0.961227297782898)], [[[107.0, 57.0], [220.0, 68.0], [219.0, 84.0], [106.0, 73.0]], ('20 Pahang Street', 0.9428594708442688)], [[[111.0, 72.0], [226.0, 82.0], [225.0, 99.0], [110.0, 89.0]], ('Singapore 198617', 0.9491229057312012)], [[[54.0, 82.0], [262.0, 100.0], [260.0, 117.0], [52.0, 99.0]], ('Tel62949983Fax62949913', 0.9610965251922607)], [[[31.0, 96.0], [299.0, 120.0], [298.0, 137.0], [29.0, 113.0]], ('24/12/2014 18:00 Tm:T001Shift201412241', 0.9419536590576172)], [[[27.0, 111.0], [190.0, 125.0], [188.0, 145.0], [25.0, 131.0]], ('Table Svr:Cashier 001', 0.9306299090385437)], [[[53.0, 130.0], [145.0, 139.0], [144.0, 156.0], [51.0, 147.0]], ('B111:A076070', 0.9335775971412659)], [[[34.0, 163.0], [150.0, 173.0], [149.0, 190.0], [32.0, 180.0]], ('1 Aipokat Juice', 0.9273494482040405)], [[[30.0, 181.0], [177.0, 193.0], [176.0, 211.0], [28.0, 199.0]], ('1 Ayam Kg.Panggang', 0.9367160797119141)], [[[271.0, 180.0], [305.0, 183.0], [303.0, 203.0], [269.0, 199.0]], ('5.00', 0.9951726198196411)], [[[27.0, 201.0], [123.0, 206.0], [122.0, 223.0], [26.0, 218.0]], ('2WHITE RICE', 0.9459242224693298)], [[[271.0, 199.0], [306.0, 199.0], [306.0, 218.0], [271.0, 218.0]], ('5.00', 0.9798266887664795)], [[[25.0, 220.0], [127.0, 225.0], [126.0, 242.0], [24.0, 237.0]], ('1 Te lur Dadar', 0.8958134055137634)], [[[272.0, 216.0], [308.0, 218.0], [306.0, 236.0], [270.0, 234.0]], ('2.00', 0.9971075057983398)], [[[23.0, 238.0], [119.0, 244.0], [118.0, 263.0], [22.0, 256.0]], ('1Samba1 Grg', 0.90323406457901)], [[[273.0, 234.0], [309.0, 236.0], [307.0, 256.0], [271.0, 253.0]], ('2.00', 0.993307888507843)], [[[20.0, 258.0], [165.0, 266.0], [164.0, 285.0], [19.0, 276.0]], ('1 Samba1 Hij/Merah', 0.9175090789794922)], [[[273.0, 254.0], [309.0, 254.0], [309.0, 273.0], [273.0, 273.0]], ('2.50', 0.9920572638511658)], [[[16.0, 278.0], [124.0, 284.0], [123.0, 304.0], [15.0, 298.0]], ('1 Sayur Loden', 0.9475412368774414)], [[[274.0, 274.0], [310.0, 274.0], [310.0, 293.0], [274.0, 293.0]], ('1.50', 0.9916834235191345)], [[[273.0, 291.0], [312.0, 294.0], [310.0, 316.0], [271.0, 313.0]], ('2.50', 0.9944958090782166)], [[[29.0, 318.0], [110.0, 324.0], [109.0, 345.0], [27.0, 339.0]], ('TOTAL', 0.9985308647155762)], [[[25.0, 339.0], [93.0, 345.0], [91.0, 366.0], [23.0, 360.0]], ('VISA', 0.9981169700622559)], [[[225.0, 330.0], [310.0, 335.0], [309.0, 356.0], [224.0, 351.0]], ('20.50', 0.9956111907958984)], [[[25.0, 361.0], [61.0, 364.0], [59.0, 384.0], [24.0, 381.0]], ('7093', 0.9991481900215149)], [[[225.0, 352.0], [310.0, 357.0], [309.0, 378.0], [224.0, 373.0]], ('20.50', 0.9983523488044739)]]	{"store_name": "SARIRATU", "store_addr": "20PahangStre Singapore198617", "telephone": "62949983", "date": "24/12/2014", "time": "18:00", "subtotal": "", "tax": "", "total": "20.50", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "AlpokatJuice", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AyamKg.Panggang", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WHITERICE", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TelurDadar", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SambalGrg", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "SambalHij/Merah", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "SayurLodeh", "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	[[[[63.0, 3.0], [169.0, 4.0], [169.0, 18.0], [63.0, 17.0]], ('Stored Order', 0.9767615795135498)], [[[129.0, 14.0], [169.0, 16.0], [168.0, 30.0], [128.0, 28.0]], ('Sototal', 0.9044234156608582)], [[[177.0, 16.0], [200.0, 16.0], [200.0, 27.0], [177.0, 27.0]], ('55.97', 0.9927315711975098)], [[[127.0, 26.0], [169.0, 26.0], [169.0, 37.0], [127.0, 37.0]], ('Sales Tax', 0.8623757362365723)], [[[180.0, 27.0], [198.0, 27.0], [198.0, 35.0], [180.0, 35.0]], ('3.7', 0.8910267949104309)], [[[33.0, 39.0], [113.0, 41.0], [112.0, 52.0], [32.0, 50.0]], ('14:40:4210/25/2018', 0.9228511452674866)], [[[97.0, 59.0], [140.0, 61.0], [140.0, 73.0], [96.0, 70.0]], ('Total', 0.9976999163627625)], [[[101.0, 50.0], [199.0, 50.0], [199.0, 63.0], [101.0, 63.0]], ('Please pay this anount', 0.9034408330917358)], [[[32.0, 68.0], [102.0, 71.0], [101.0, 83.0], [31.0, 79.0]], ('TIPNOT INCLUDED.', 0.8153125047683716)], [[[155.0, 61.0], [199.0, 61.0], [199.0, 71.0], [155.0, 71.0]], ('59.68', 0.9967616200447083)], [[[31.0, 88.0], [128.0, 90.0], [128.0, 101.0], [31.0, 98.0]], ('Suggested tip aount is', 0.8406801819801331)], [[[31.0, 96.0], [131.0, 99.0], [131.0, 112.0], [30.0, 109.0]], ('based on total with tax', 0.8963673710823059)], [[[146.0, 90.0], [198.0, 90.0], [198.0, 100.0], [146.0, 100.0]], ('20X$11.94', 0.8981692790985107)], [[[29.0, 106.0], [118.0, 110.0], [117.0, 121.0], [28.0, 117.0]], ('before any discounts.', 0.9368346929550171)], [[[146.0, 99.0], [198.0, 99.0], [198.0, 110.0], [146.0, 110.0]], ('18X-$10.74', 0.8752164840698242)], [[[148.0, 106.0], [198.0, 109.0], [197.0, 123.0], [148.0, 120.0]], ('15x$8.95', 0.8511455655097961)], [[[26.0, 132.0], [90.0, 135.0], [89.0, 149.0], [25.0, 147.0]], ('Dine In', 0.9551793336868286)], [[[26.0, 145.0], [201.0, 149.0], [201.0, 162.0], [26.0, 158.0]], ('Get rewarded! Scan the QR code below with', 0.9177808165550232)], [[[26.0, 156.0], [195.0, 160.0], [194.0, 174.0], [26.0, 170.0]], ('your My Red Lobster Rewards app to earn', 0.9014759659767151)], [[[25.0, 167.0], [197.0, 172.0], [196.0, 186.0], [25.0, 181.0]], ('56 points excludes taxt1p and aicoho', 0.8534832000732422)], [[[30.0, 179.0], [112.0, 181.0], [111.0, 192.0], [29.0, 190.0]], ('where pronibited).', 0.8839730024337769)], [[[25.0, 191.0], [196.0, 195.0], [196.0, 209.0], [25.0, 205.0]], ('Vist the Aople App Store or Google Play', 0.9168211817741394)], [[[25.0, 203.0], [199.0, 206.0], [199.0, 220.0], [25.0, 217.0]], ('today to download y Red Lobster Reards', 0.9247027039527893)], [[[83.0, 281.0], [146.0, 283.0], [146.0, 294.0], [83.0, 292.0]], ('SS9N2583B1K', 0.9261803030967712)], [[[17.0, 322.0], [143.0, 327.0], [143.0, 341.0], [17.0, 336.0]], ('Thank you for dining with us.', 0.920892596244812)], [[[14.0, 341.0], [124.0, 345.0], [124.0, 359.0], [14.0, 355.0]], ('Different lyFind us on', 0.942400336265564)], [[[17.0, 332.0], [162.0, 337.0], [162.0, 351.0], [17.0, 346.0]], ('Cose back again soon and Sea Food', 0.9245140552520752)], [[[14.0, 352.0], [134.0, 356.0], [134.0, 369.0], [14.0, 366.0]], ('w.facebook.com/redlobster', 0.9456315636634827)], [[[13.0, 364.0], [118.0, 366.0], [117.0, 380.0], [13.0, 378.0]], ('Please pay your server', 0.9561590552330017)], [[[13.0, 376.0], [121.0, 378.0], [121.0, 392.0], [13.0, 390.0]], ('Comments or Suggest fons?', 0.909619152545929)], [[[11.0, 395.0], [146.0, 399.0], [146.0, 413.0], [11.0, 409.0]], ('General Hanager before leaving', 0.9004627466201782)], [[[13.0, 386.0], [139.0, 388.0], [139.0, 402.0], [13.0, 400.0]], ('Please speak to Jeff Freean', 0.9314548373222351)], [[[10.0, 407.0], [113.0, 409.0], [112.0, 420.0], [10.0, 418.0]], ('or ca11 609896-1011', 0.8736230134963989)]]	{"store_name": "", "store_addr": "", "telephone": "orcall(609)896-1011.", "date": "10/26/2018", "time": "14:40:42", "subtotal": "55.97", "tax": "3.71 $10.74", "total": "59.68", "ignore": " ", "tips": "$11.94", "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	[[[[328.0, 40.0], [430.0, 40.0], [430.0, 62.0], [328.0, 62.0]], ('20001', 0.9918292760848999)], [[[242.0, 86.0], [606.0, 90.0], [606.0, 121.0], [242.0, 117.0]], ('04/21720128:24:17PM', 0.9289889931678772)], [[[209.0, 177.0], [648.0, 180.0], [648.0, 214.0], [209.0, 212.0]], ('*PREPAID RECEIPT *', 0.9512786269187927)], [[[19.0, 219.0], [227.0, 234.0], [224.0, 265.0], [16.0, 250.0]], ('REGULAR CA', 0.9602161645889282)], [[[282.0, 232.0], [403.0, 239.0], [401.0, 266.0], [280.0, 259.0]], ('PUMP#7', 0.993898868560791)], [[[810.0, 223.0], [855.0, 223.0], [855.0, 248.0], [810.0, 248.0]], ('66', 0.9956005811691284)], [[[656.0, 238.0], [777.0, 224.0], [780.0, 251.0], [660.0, 265.0]], ('$20.00', 0.9977613091468811)], [[[402.0, 297.0], [616.0, 292.0], [617.0, 327.0], [403.0, 331.0]], ('Subtotal=', 0.9880403876304626)], [[[668.0, 295.0], [796.0, 277.0], [801.0, 309.0], [672.0, 327.0]], ('$20.00', 0.9969527721405029)], [[[507.0, 330.0], [621.0, 324.0], [623.0, 356.0], [508.0, 362.0]], ('Tax=', 0.9896717071533203)], [[[696.0, 326.0], [810.0, 309.0], [815.0, 341.0], [701.0, 358.0]], ('$0.00', 0.9978163838386536)], [[[472.0, 398.0], [632.0, 388.0], [635.0, 424.0], [475.0, 435.0]], ('Total=', 0.9945594668388367)], [[[694.0, 392.0], [834.0, 379.0], [838.0, 415.0], [698.0, 428.0]], ('$20.00', 0.9974943995475769)], [[[737.0, 465.0], [862.0, 455.0], [865.0, 493.0], [741.0, 504.0]], ('$0.00', 0.9975837469100952)], [[[360.0, 475.0], [647.0, 465.0], [649.0, 504.0], [362.0, 514.0]], ('Change Due =', 0.9318487644195557)], [[[736.0, 550.0], [893.0, 541.0], [896.0, 582.0], [739.0, 591.0]], ('$20.00', 0.9980362057685852)], [[[176.0, 842.0], [802.0, 818.0], [804.0, 866.0], [178.0, 890.0]], ('THANKS BOYYYYYYYYYYY!', 0.967197597026825)]]	{"store_name": "", "store_addr": "VALERO,22", "telephone": "", "date": "04/21/2012", "time": "8:24:17PM", "subtotal": "$20.00", "tax": "$0.00", "total": "$20.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "REGULARCAPUMP#7", "item_value": "$20.00", "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	[[[[121.0, 50.0], [245.0, 50.0], [245.0, 66.0], [121.0, 66.0]], ('THANK YOU FOR CHOOSING KFC', 0.9007028341293335)], [[[135.0, 63.0], [223.0, 67.0], [222.0, 87.0], [135.0, 84.0]], ('286 Route 59 west', 0.9018774628639221)], [[[140.0, 84.0], [220.0, 86.0], [219.0, 105.0], [139.0, 102.0]], ('NanuetNY 10954', 0.8802723288536072)], [[[146.0, 103.0], [217.0, 103.0], [217.0, 123.0], [146.0, 123.0]], ('(845)623-9729', 0.9243043065071106)], [[[138.0, 123.0], [220.0, 123.0], [220.0, 141.0], [138.0, 141.0]], ('Store#K250018', 0.9610373973846436)], [[[117.0, 140.0], [238.0, 142.0], [238.0, 161.0], [117.0, 159.0]], ('Ticket #67', 0.9551846385002136)], [[[78.0, 170.0], [130.0, 170.0], [130.0, 184.0], [78.0, 184.0]], ('Register 1', 0.958670437335968)], [[[78.0, 183.0], [154.0, 183.0], [154.0, 196.0], [78.0, 196.0]], ('ThuJun 5 2008', 0.929439902305603)], [[[205.0, 182.0], [265.0, 185.0], [264.0, 198.0], [205.0, 196.0]], ('08:05:24PM', 0.8807739019393921)], [[[77.0, 195.0], [154.0, 195.0], [154.0, 208.0], [77.0, 208.0]], ('Cashier:JEAN H', 0.9374678730964661)], [[[266.0, 191.0], [279.0, 191.0], [279.0, 304.0], [266.0, 304.0]], ('GIVEAWAY ON BACK!', 0.9599854946136475)], [[[80.0, 218.0], [157.0, 219.0], [157.0, 232.0], [80.0, 231.0]], ('13.PC T&L MEAL', 0.8727476000785828)], [[[96.0, 229.0], [148.0, 232.0], [147.0, 245.0], [95.0, 243.0]], ('-XCRISPY-', 0.8826050162315369)], [[[204.0, 220.0], [229.0, 220.0], [229.0, 234.0], [204.0, 234.0]], ('6.45', 0.9910274744033813)], [[[94.0, 243.0], [133.0, 243.0], [133.0, 257.0], [94.0, 257.0]], ('HSAWWS', 0.5005759596824646)], [[[93.0, 255.0], [133.0, 255.0], [133.0, 269.0], [93.0, 269.0]], ('SM SLAW', 0.9145204424858093)], [[[93.0, 265.0], [141.0, 269.0], [140.0, 284.0], [91.0, 280.0]], ('1BISCUIT', 0.8978176712989807)], [[[199.0, 279.0], [231.0, 282.0], [230.0, 297.0], [198.0, 295.0]], ('2.46', 0.9620118141174316)], [[[268.0, 300.0], [275.0, 300.0], [275.0, 321.0], [268.0, 321.0]], ('HST', 0.6228739619255066)], [[[78.0, 315.0], [173.0, 319.0], [172.0, 342.0], [77.0, 339.0]], ('Subtotal:', 0.9726303815841675)], [[[221.0, 318.0], [269.0, 321.0], [267.0, 347.0], [219.0, 344.0]], ('3.99', 0.9944373965263367)], [[[129.0, 337.0], [174.0, 344.0], [170.0, 366.0], [126.0, 359.0]], ('Tax:', 0.9719105958938599)], [[[220.0, 337.0], [268.0, 340.0], [266.0, 367.0], [218.0, 363.0]], ('0.33', 0.9856716990470886)], [[[109.0, 358.0], [171.0, 362.0], [170.0, 383.0], [108.0, 380.0]], ('Total:', 0.9699060916900635)], [[[220.0, 360.0], [267.0, 360.0], [267.0, 386.0], [220.0, 386.0]], ('4.32', 0.9890697002410889)], [[[267.0, 366.0], [273.0, 366.0], [273.0, 382.0], [267.0, 382.0]], ('INC', 0.7004925608634949)], [[[116.0, 379.0], [170.0, 382.0], [169.0, 404.0], [115.0, 400.0]], ('Cash:', 0.9589036703109741)], [[[219.0, 381.0], [269.0, 381.0], [269.0, 406.0], [219.0, 406.0]], ('5.00', 0.9918155670166016)], [[[97.0, 399.0], [169.0, 405.0], [168.0, 425.0], [95.0, 419.0]], ('Change:', 0.9890720248222351)], [[[219.0, 402.0], [265.0, 402.0], [265.0, 425.0], [219.0, 425.0]], ('0.68', 0.9929221868515015)], [[[264.0, 403.0], [274.0, 403.0], [274.0, 459.0], [264.0, 459.0]], ('ASHGIVEAW', 0.9292492270469666)]]	{"store_name": "", "store_addr": "286Route59west Nanuet,NY10954", "telephone": "(845)623-9729", "date": "Jun52008", "time": "08:05:24PM", "subtotal": "3.99", "tax": "0.33", "total": "4.32", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "13PCT&LMEAL", "item_value": "6.45", "item_quantity": "1"}, {"item_key": "", "item_name": "-XCRISPY-", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SMMASH", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SMSLAW", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "1BISCUIT", "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	[[[[100.0, 9.0], [241.0, 16.0], [240.0, 37.0], [99.0, 30.0]], ("Nando's", 0.9667991399765015)], [[[97.0, 27.0], [243.0, 33.0], [243.0, 47.0], [97.0, 41.0]], ('Peri-fen ane-ed chicken', 0.6885833144187927)], [[[129.0, 42.0], [211.0, 45.0], [211.0, 55.0], [129.0, 52.0]], ('www.nandocam.my', 0.8565083146095276)], [[[115.0, 66.0], [218.0, 72.0], [217.0, 89.0], [114.0, 83.0]], ('Sdn.d.451564-', 0.8717285990715027)], [[[83.0, 119.0], [254.0, 124.0], [253.0, 138.0], [82.0, 133.0]], ('Te1604-227 6555 Fax604-227 8666', 0.8866385817527771)], [[[135.0, 110.0], [203.0, 114.0], [202.0, 127.0], [134.0, 123.0]], ('10250 Penang', 0.9195519089698792)], [[[57.0, 140.0], [110.0, 143.0], [109.0, 157.0], [56.0, 155.0]], ('2 NANDDS1', 0.8392948508262634)], [[[112.0, 131.0], [213.0, 135.0], [213.0, 148.0], [111.0, 145.0]], ('GST ID:000097492992', 0.9061650633811951)], [[[227.0, 142.0], [272.0, 145.0], [271.0, 159.0], [226.0, 156.0]], ('102EJAD', 0.9522980451583862)], [[[56.0, 164.0], [104.0, 166.0], [103.0, 180.0], [55.0, 178.0]], ('Chk 7664', 0.9258742332458496)], [[[54.0, 177.0], [157.0, 178.0], [156.0, 192.0], [54.0, 191.0]], ('25Dc1511.35:34', 0.8824588656425476)], [[[223.0, 177.0], [274.0, 181.0], [273.0, 195.0], [222.0, 192.0]], ('TBL10/1', 0.8685537576675415)], [[[237.0, 168.0], [273.0, 168.0], [273.0, 182.0], [237.0, 182.0]], ('Guest)', 0.9115549921989441)], [[[54.0, 206.0], [62.0, 206.0], [62.0, 215.0], [54.0, 215.0]], ('2', 0.9369255900382996)], [[[73.0, 203.0], [211.0, 204.0], [211.0, 218.0], [73.0, 217.0]], ('C.Butterfly+1SD-E 17.90', 0.8903993368148804)], [[[222.0, 204.0], [265.0, 206.0], [265.0, 220.0], [222.0, 218.0]], ('35.80 S', 0.9207778573036194)], [[[53.0, 218.0], [62.0, 218.0], [62.0, 229.0], [53.0, 229.0]], ('2', 0.9950195550918579)], [[[78.0, 217.0], [111.0, 217.0], [111.0, 231.0], [78.0, 231.0]], ('BCB-M', 0.9693616628646851)], [[[75.0, 230.0], [172.0, 231.0], [172.0, 245.0], [75.0, 244.0]], ('PerWedgesR)-EC', 0.9199649095535278)], [[[256.0, 221.0], [265.0, 221.0], [265.0, 233.0], [256.0, 233.0]], ('S', 0.8891388177871704)], [[[52.0, 232.0], [61.0, 232.0], [61.0, 243.0], [52.0, 243.0]], ('2', 0.9955447912216187)], [[[257.0, 234.0], [265.0, 234.0], [265.0, 245.0], [257.0, 245.0]], ('S', 0.9066857099533081)], [[[53.0, 247.0], [58.0, 247.0], [58.0, 254.0], [53.0, 254.0]], ('1', 0.7884768843650818)], [[[72.0, 244.0], [116.0, 246.0], [116.0, 259.0], [72.0, 257.0]], ('Natas-E', 0.9633253812789917)], [[[228.0, 246.0], [267.0, 246.0], [267.0, 260.0], [228.0, 260.0]], ('2.90 S', 0.8997692465782166)], [[[71.0, 258.0], [98.0, 258.0], [98.0, 271.0], [71.0, 271.0]], ('CASH', 0.9981086850166321)], [[[220.0, 256.0], [259.0, 258.0], [258.0, 272.0], [220.0, 270.0]], ('100.10', 0.9900197386741638)], [[[60.0, 282.0], [115.0, 282.0], [115.0, 296.0], [60.0, 296.0]], ('Sub Total', 0.9007511138916016)], [[[229.0, 283.0], [263.0, 283.0], [263.0, 297.0], [229.0, 297.0]], ('38.70', 0.9939026832580566)], [[[56.0, 295.0], [117.0, 299.0], [117.0, 316.0], [55.0, 312.0]], ('Serv Chrg', 0.9549462795257568)], [[[235.0, 298.0], [263.0, 298.0], [263.0, 313.0], [235.0, 313.0]], ('3.87', 0.9965422749519348)], [[[56.0, 314.0], [103.0, 314.0], [103.0, 329.0], [56.0, 329.0]], ('GST6%', 0.9752147793769836)], [[[236.0, 311.0], [266.0, 311.0], [266.0, 330.0], [236.0, 330.0]], ('2.54', 0.9930774569511414)], [[[55.0, 330.0], [96.0, 330.0], [96.0, 346.0], [55.0, 346.0]], ('Total:', 0.931090772151947)], [[[233.0, 329.0], [267.0, 329.0], [267.0, 345.0], [233.0, 345.0]], ('45.11', 0.9917775392532349)], [[[52.0, 347.0], [133.0, 347.0], [133.0, 364.0], [52.0, 364.0]], ('Rounding Adj', 0.9829415678977966)], [[[238.0, 347.0], [274.0, 347.0], [274.0, 362.0], [238.0, 362.0]], ('0.01-', 0.9875169992446899)], [[[233.0, 360.0], [271.0, 363.0], [270.0, 381.0], [232.0, 378.0]], ('45.10', 0.9544804692268372)], [[[49.0, 378.0], [100.0, 381.0], [99.0, 399.0], [48.0, 397.0]], ('Payment', 0.9859845042228699)], [[[230.0, 381.0], [270.0, 381.0], [270.0, 396.0], [230.0, 396.0]], ('100.10', 0.9905399680137634)], [[[49.0, 398.0], [119.0, 398.0], [119.0, 415.0], [49.0, 415.0]], ('Change Due', 0.9568116068840027)], [[[233.0, 396.0], [272.0, 396.0], [272.0, 414.0], [233.0, 414.0]], ('55.00', 0.993772029876709)], [[[68.0, 416.0], [252.0, 416.0], [252.0, 430.0], [68.0, 430.0]], ('7CLOSED 25 Dec 15 12:24:12', 0.8693015575408936)], [[[67.0, 430.0], [249.0, 431.0], [249.0, 448.0], [67.0, 447.0]], ('For Take Away and Del Ivery.', 0.8873360753059387)]]	{"store_name": "Nando\u2019s", "store_addr": "PlazaGurnoy,PersiaranGurney 10250Penang", "telephone": "604-2278555", "date": "Dec1511:35:34 25Dec15", "time": "12:24:12", "subtotal": "38.70", "tax": "2.54", "total": "45.11 45.10", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "[email protected]", "item_value": "35.80S", "item_quantity": "1"}, {"item_key": "", "item_name": "BCB-M", "item_value": "2.90S", "item_quantity": "1"}, {"item_key": "", "item_name": "Periwedges(R)-EC", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Natas-E", "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	[[[[123.0, 36.0], [207.0, 36.0], [207.0, 50.0], [123.0, 50.0]], ('california', 0.9812768697738647)], [[[79.0, 97.0], [233.0, 102.0], [233.0, 119.0], [79.0, 114.0]], ('California Pizza Kitchen(TKO', 0.9189696907997131)], [[[96.0, 112.0], [219.0, 117.0], [219.0, 131.0], [96.0, 126.0]], ('Shop Unit F10PopCorn', 0.908737301826477)], [[[67.0, 124.0], [249.0, 128.0], [249.0, 145.0], [67.0, 142.0]], ('9 Tong Yin Street.Tseung Kwan 0.', 0.9157336950302124)], [[[115.0, 140.0], [200.0, 141.0], [200.0, 155.0], [115.0, 154.0]], ('New Territories.', 0.9580336809158325)], [[[58.0, 152.0], [253.0, 155.0], [252.0, 169.0], [58.0, 166.0]], ('Te1852)3902-3875 Fax852)3902-3433', 0.941097617149353)], [[[223.0, 180.0], [263.0, 180.0], [263.0, 194.0], [223.0, 194.0]], ('Cover1', 0.960792064666748)], [[[53.0, 208.0], [116.0, 212.0], [114.0, 229.0], [51.0, 225.0]], ('Check No', 0.938196063041687)], [[[105.0, 213.0], [171.0, 215.0], [170.0, 241.0], [104.0, 239.0]], ('309222', 0.9981581568717957)], [[[53.0, 243.0], [180.0, 242.0], [180.0, 256.0], [53.0, 257.0]], ('Date 2016-09-09 19:04:04', 0.9385107159614563)], [[[54.0, 268.0], [114.0, 266.0], [114.0, 280.0], [54.0, 282.0]], ('Description', 0.9650115966796875)], [[[186.0, 268.0], [205.0, 268.0], [205.0, 281.0], [186.0, 281.0]], ('Qty', 0.9903070330619812)], [[[225.0, 267.0], [258.0, 267.0], [258.0, 281.0], [225.0, 281.0]], ('Amount', 0.8686978220939636)], [[[54.0, 292.0], [143.0, 291.0], [143.0, 305.0], [54.0, 306.0]], ('California Veggie', 0.9378206729888916)], [[[196.0, 291.0], [207.0, 291.0], [207.0, 305.0], [196.0, 305.0]], ('1', 0.9715397953987122)], [[[236.0, 291.0], [268.0, 291.0], [268.0, 305.0], [236.0, 305.0]], ('106.00', 0.9947478175163269)], [[[71.0, 305.0], [133.0, 305.0], [133.0, 316.0], [71.0, 316.0]], ('-VIP Pizza $', 0.8332307934761047)], [[[231.0, 304.0], [270.0, 304.0], [270.0, 318.0], [231.0, 318.0]], ('-106.00', 0.974640965461731)], [[[54.0, 317.0], [178.0, 316.0], [178.0, 330.0], [54.0, 332.0]], ('NewKonbu Spag w/Shrimp', 0.929847002029419)], [[[198.0, 331.0], [206.0, 331.0], [206.0, 343.0], [198.0, 343.0]], ('1', 0.7777205109596252)], [[[237.0, 329.0], [270.0, 329.0], [270.0, 344.0], [237.0, 344.0]], ('120.00', 0.991287887096405)], [[[54.0, 343.0], [80.0, 343.0], [80.0, 358.0], [54.0, 358.0]], ('-No', 0.7269929051399231)], [[[197.0, 344.0], [206.0, 344.0], [206.0, 355.0], [197.0, 355.0]], ('1', 0.6655862927436829)], [[[54.0, 356.0], [94.0, 356.0], [94.0, 370.0], [54.0, 370.0]], ('-Spicy', 0.9418874382972717)], [[[197.0, 356.0], [206.0, 356.0], [206.0, 367.0], [197.0, 367.0]], ('1', 0.946331262588501)], [[[159.0, 376.0], [208.0, 379.0], [207.0, 393.0], [158.0, 391.0]], ('Subtotal:', 0.9790433049201965)], [[[125.0, 386.0], [208.0, 392.0], [207.0, 406.0], [125.0, 401.0]], ('+Service Charge:', 0.9590247869491577)], [[[230.0, 380.0], [270.0, 380.0], [270.0, 394.0], [230.0, 394.0]], ('$120.00', 0.9959946274757385)], [[[122.0, 400.0], [209.0, 404.0], [208.0, 417.0], [122.0, 413.0]], ('-VIP15%Discount', 0.9152956008911133)], [[[236.0, 394.0], [269.0, 394.0], [269.0, 405.0], [236.0, 405.0]], ('$22.60', 0.9945621490478516)], [[[234.0, 404.0], [270.0, 404.0], [270.0, 418.0], [234.0, 418.0]], ('$18.00', 0.9901037812232971)], [[[136.0, 425.0], [268.0, 428.0], [268.0, 442.0], [135.0, 439.0]], ('Tota1:$124.60', 0.9619859457015991)]]	{"store_name": "california PIZZAKITCHCN CaliforniaPiazzaKitchen(TKO)", "store_addr": "ShopUnitF10,PopCorn, 9TongYinSteet,TseungKwan0., NewTerritories.", "telephone": "(852)3902-3375", "date": "2016-09-09", "time": "19:04:04", "subtotal": "$120.00", "tax": "", "total": "$124.60", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CaliforniaVeggie", "item_value": "106.00", "item_quantity": "1"}, {"item_key": "", "item_name": "(New)KonbuSpagN/Shrimp", "item_value": "120.00", "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	[[[[95.0, 36.0], [211.0, 32.0], [212.0, 46.0], [95.0, 50.0]], ('Cowabunga Bay Las Vegas', 0.9426252841949463)], [[[117.0, 46.0], [183.0, 44.0], [184.0, 59.0], [117.0, 61.0]], ("Bullwinkle's", 0.9171888828277588)], [[[112.0, 60.0], [196.0, 57.0], [196.0, 71.0], [112.0, 75.0]], ('Boardalk Grille', 0.9232566356658936)], [[[121.0, 73.0], [187.0, 73.0], [187.0, 84.0], [121.0, 84.0]], ('Cowabunga Bay', 0.9593080282211304)], [[[70.0, 111.0], [129.0, 106.0], [131.0, 129.0], [72.0, 134.0]], ('Ret024', 0.9216154217720032)], [[[76.0, 128.0], [162.0, 125.0], [162.0, 139.0], [76.0, 141.0]], ('Device IP85 6r1116', 0.7960313558578491)], [[[191.0, 127.0], [235.0, 127.0], [235.0, 138.0], [191.0, 138.0]], ('050ct2014', 0.8683069944381714)], [[[78.0, 141.0], [132.0, 141.0], [132.0, 152.0], [78.0, 152.0]], ('Cashier: Kylse', 0.8225135207176208)], [[[205.0, 137.0], [236.0, 137.0], [236.0, 151.0], [205.0, 151.0]], ('5:01PM', 0.8598649501800537)], [[[100.0, 165.0], [144.0, 165.0], [144.0, 176.0], [100.0, 176.0]], ('Cabena F-Su', 0.8558313250541687)], [[[204.0, 163.0], [237.0, 163.0], [237.0, 174.0], [204.0, 174.0]], ('169.99', 0.9611743092536926)], [[[101.0, 178.0], [143.0, 178.0], [143.0, 189.0], [101.0, 189.0]], ('8390889', 0.7241035103797913)], [[[210.0, 175.0], [237.0, 175.0], [237.0, 186.0], [210.0, 186.0]], ('9.021', 0.883629322052002)], [[[101.0, 190.0], [144.0, 190.0], [144.0, 201.0], [101.0, 201.0]], ('83808893', 0.8215076923370361)], [[[209.0, 186.0], [238.0, 186.0], [238.0, 200.0], [209.0, 200.0]], ('9.02', 0.9776012301445007)], [[[101.0, 202.0], [159.0, 202.0], [159.0, 213.0], [101.0, 213.0]], ('Chx Caesar rep', 0.8545464277267456)], [[[210.0, 198.0], [239.0, 198.0], [239.0, 212.0], [210.0, 212.0]], ('6.94', 0.9681785702705383)], [[[101.0, 215.0], [124.0, 215.0], [124.0, 226.0], [101.0, 226.0]], ('Drink', 0.9925945997238159)], [[[212.0, 212.0], [238.0, 212.0], [238.0, 223.0], [212.0, 223.0]], ('2.78', 0.9643646478652954)], [[[101.0, 227.0], [159.0, 227.0], [159.0, 238.0], [101.0, 238.0]], ('Large Ice Crean', 0.9474002122879028)], [[[211.0, 223.0], [240.0, 223.0], [240.0, 237.0], [211.0, 237.0]], ('3.471', 0.8182538747787476)], [[[101.0, 239.0], [159.0, 239.0], [159.0, 250.0], [101.0, 250.0]], ('Large Ice Creen', 0.9191105961799622)], [[[211.0, 235.0], [241.0, 235.0], [241.0, 249.0], [211.0, 249.0]], ('3.47', 0.9752979874610901)], [[[101.0, 251.0], [146.0, 251.0], [146.0, 262.0], [101.0, 262.0]], ('Vaffle Cone', 0.9063407778739929)], [[[213.0, 249.0], [239.0, 249.0], [239.0, 260.0], [213.0, 260.0]], ('3.93T', 0.8835697174072266)], [[[101.0, 276.0], [138.0, 276.0], [138.0, 287.0], [101.0, 287.0]], ('Subtotal:', 0.9711783528327942)], [[[207.0, 274.0], [234.0, 274.0], [234.0, 285.0], [207.0, 285.0]], ('208.62', 0.9654359221458435)], [[[101.0, 288.0], [128.0, 291.0], [127.0, 303.0], [100.0, 300.0]], ('Texes:', 0.8931177258491516)], [[[213.0, 286.0], [234.0, 286.0], [234.0, 298.0], [213.0, 298.0]], ('3.12', 0.9906373620033264)], [[[102.0, 302.0], [127.0, 302.0], [127.0, 313.0], [102.0, 313.0]], ('Total:', 0.9389297962188721)], [[[206.0, 298.0], [235.0, 298.0], [235.0, 312.0], [206.0, 312.0]], ('211.74', 0.9867870211601257)], [[[102.0, 315.0], [145.0, 315.0], [145.0, 325.0], [102.0, 325.0]], ('Amount Due:', 0.855599045753479)], [[[208.0, 312.0], [236.0, 312.0], [236.0, 323.0], [208.0, 323.0]], ('211.74', 0.9915032386779785)], [[[113.0, 341.0], [132.0, 341.0], [132.0, 353.0], [113.0, 353.0]], (':011', 0.5825463533401489)], [[[56.0, 382.0], [266.0, 375.0], [266.0, 400.0], [57.0, 406.0]], ('* Summary Bill *', 0.9090909957885742)], [[[204.0, 439.0], [253.0, 439.0], [253.0, 446.0], [204.0, 446.0]], ('s5.00Couab', 0.5693125128746033)]]	{"store_name": "CowabungaBayLasVegas", "store_addr": "BoardwalkGrille CowabungaBay", "telephone": "", "date": "05Oct2014", "time": "5:01PM", "subtotal": "208.62", "tax": "3.12", "total": "211.74 211.74", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CabanaF-Su", "item_value": "169.99", "item_quantity": "1"}, {"item_key": "", "item_name": "C5BBQBeef", "item_value": "9.02", "item_quantity": "1"}, {"item_key": "", "item_name": "C5BBQBeef", "item_value": "9.02", "item_quantity": "1"}, {"item_key": "", "item_name": "ChxCaesarWrbp", "item_value": "6.94", "item_quantity": "1"}, {"item_key": "", "item_name": "Drink", "item_value": "2.78", "item_quantity": "1"}, {"item_key": "", "item_name": "LarselceCrean", "item_value": "3.47", "item_quantity": "1"}, {"item_key": "", "item_name": "LarselceCrean", "item_value": "3.47", "item_quantity": "1"}, {"item_key": "", "item_name": "VaffleCone", "item_value": "3.93", "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	[[[[128.0, 18.0], [182.0, 12.0], [184.0, 31.0], [130.0, 37.0]], ('INSHOP', 0.996316134929657)], [[[117.0, 54.0], [197.0, 42.0], [199.0, 56.0], [119.0, 68.0]], ('Jiny Johns 1710', 0.7989813685417175)], [[[106.0, 65.0], [205.0, 51.0], [207.0, 65.0], [108.0, 79.0]], ('Catoctin Circle.NE', 0.9114593863487244)], [[[129.0, 73.0], [186.0, 64.0], [188.0, 77.0], [131.0, 86.0]], ('703-779-2111', 0.9768683314323425)], [[[62.0, 97.0], [210.0, 79.0], [212.0, 96.0], [64.0, 114.0]], ('06-11-2018 Chk68 0cen1223 PH', 0.825150191783905)], [[[275.0, 90.0], [337.0, 94.0], [336.0, 115.0], [274.0, 111.0]], ('MISK', 0.6028923988342285)], [[[63.0, 107.0], [164.0, 97.0], [166.0, 113.0], [64.0, 123.0]], (' ', 0.5421323776245117)], [[[232.0, 108.0], [257.0, 105.0], [259.0, 120.0], [233.0, 123.0]], ('6.99', 0.9902961850166321)], [[[83.0, 124.0], [146.0, 120.0], [147.0, 134.0], [84.0, 138.0]], ('#16 Club Lulu', 0.8563191294670105)], [[[234.0, 119.0], [259.0, 119.0], [259.0, 134.0], [234.0, 134.0]], ('5.69', 0.9828992486000061)], [[[83.0, 135.0], [146.0, 131.0], [147.0, 145.0], [84.0, 149.0]], ('#4 Turkey Ton', 0.8884604573249817)], [[[92.0, 146.0], [128.0, 146.0], [128.0, 157.0], [92.0, 157.0]], ('NO mayo', 0.8537972569465637)], [[[91.0, 156.0], [146.0, 154.0], [146.0, 166.0], [92.0, 168.0]], ('NO tonatoes', 0.8612940311431885)], [[[237.0, 153.0], [262.0, 153.0], [262.0, 168.0], [237.0, 168.0]], ('0.89', 0.9950044751167297)], [[[89.0, 165.0], [143.0, 163.0], [143.0, 177.0], [90.0, 179.0]], ('ADO choese', 0.8746362924575806)], [[[81.0, 175.0], [147.0, 173.0], [147.0, 186.0], [81.0, 188.0]], ('#4 Turkey Tom', 0.9216750264167786)], [[[239.0, 166.0], [262.0, 166.0], [262.0, 178.0], [239.0, 178.0]], ('5.69', 0.9866397380828857)], [[[90.0, 187.0], [128.0, 187.0], [128.0, 197.0], [90.0, 197.0]], ('NO mayo', 0.9091629385948181)], [[[90.0, 196.0], [146.0, 195.0], [146.0, 206.0], [90.0, 207.0]], ('NO tonatoes', 0.8867946267127991)], [[[241.0, 198.0], [266.0, 198.0], [266.0, 213.0], [241.0, 213.0]], ('0.89', 0.9909473061561584)], [[[89.0, 207.0], [142.0, 207.0], [142.0, 218.0], [89.0, 218.0]], ('ADO cheese', 0.8894432187080383)], [[[240.0, 210.0], [267.0, 208.0], [268.0, 223.0], [241.0, 225.0]], ('5.69', 0.9905376434326172)], [[[86.0, 227.0], [156.0, 227.0], [156.0, 238.0], [86.0, 238.0]], ('ADD cucumbers', 0.8796164393424988)], [[[85.0, 238.0], [140.0, 238.0], [140.0, 249.0], [85.0, 249.0]], ('ADD cheese', 0.9085787534713745)], [[[244.0, 234.0], [269.0, 234.0], [269.0, 246.0], [244.0, 246.0]], ('0.89', 0.9627684950828552)], [[[74.0, 261.0], [175.0, 261.0], [175.0, 274.0], [74.0, 274.0]], ('Jimmy Regular Chips', 0.9384132027626038)], [[[245.0, 259.0], [271.0, 256.0], [272.0, 271.0], [247.0, 274.0]], ('1.29', 0.994019627571106)], [[[74.0, 275.0], [176.0, 275.0], [176.0, 288.0], [74.0, 288.0]], ('Jimmy Regular Chips', 0.9461299777030945)], [[[249.0, 272.0], [273.0, 272.0], [273.0, 284.0], [249.0, 284.0]], ('1.29', 0.9944689273834229)], [[[73.0, 288.0], [176.0, 288.0], [176.0, 301.0], [73.0, 301.0]], ('Jimmy Regular Chips', 0.9433627128601074)], [[[249.0, 284.0], [275.0, 284.0], [275.0, 299.0], [249.0, 299.0]], ('1.29', 0.9918846487998962)], [[[180.0, 328.0], [225.0, 328.0], [225.0, 340.0], [180.0, 340.0]], ('Subtotal', 0.9936447143554688)], [[[246.0, 325.0], [279.0, 325.0], [279.0, 341.0], [246.0, 341.0]], ('30.60', 0.9944952130317688)], [[[133.0, 341.0], [225.0, 341.0], [225.0, 355.0], [133.0, 355.0]], ('Sales Tax 9.5%', 0.9009031653404236)], [[[252.0, 340.0], [280.0, 340.0], [280.0, 356.0], [252.0, 356.0]], ('2.91', 0.9945745468139648)], [[[198.0, 371.0], [284.0, 371.0], [284.0, 399.0], [198.0, 399.0]], ('Total $33.51', 0.9295051097869873)], [[[84.0, 414.0], [233.0, 414.0], [233.0, 438.0], [84.0, 438.0]], ('*PAID*', 0.9524844884872437)]]	{"store_name": "INSHOP", "store_addr": "JimmyJohns#1710 11CatoctinCircle.NE", "telephone": "703-779-2111", "date": "05-11-2016", "time": "12:23PM 12:23PM", "subtotal": "30.60", "tax": "2.91", "total": "$33.51", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "#15ClubLulu", "item_value": "6.99", "item_quantity": "1"}, {"item_key": "", "item_name": "#4TurkeyTom", "item_value": "5.69", "item_quantity": "1"}, {"item_key": "", "item_name": "NOmayo", "item_value": "0.89", "item_quantity": "1"}, {"item_key": "", "item_name": "NOtomatoes", "item_value": "5.69", "item_quantity": "1"}, {"item_key": "", "item_name": "ADDcheese", "item_value": "0.89", "item_quantity": "1"}, {"item_key": "", "item_name": "#4TurkeyTom", "item_value": "5.69", "item_quantity": "1"}, {"item_key": "", "item_name": "NOmayo", "item_value": "0.89", "item_quantity": "1"}, {"item_key": "", "item_name": "NOtomatoes", "item_value": "1.29", "item_quantity": "1"}, {"item_key": "", "item_name": "ADDcheese", "item_value": "1.29", "item_quantity": "1"}, {"item_key": "", "item_name": "#4TurkeyTom", "item_value": "1.29", "item_quantity": "1"}, {"item_key": "", "item_name": "ADDcucumbers", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "ADDcheese", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "JimmyRegularChips", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "JimmyRegularChips", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "JimmyRegularChips", "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, 0.0], [212.0, 0.0], [212.0, 17.0], [87.0, 17.0]], ('Server Name:', 0.9599437713623047)], [[[276.0, 0.0], [312.0, 0.0], [311.0, 22.0], [274.0, 19.0]], ('Jon', 0.9977752566337585)], [[[83.0, 19.0], [242.0, 24.0], [241.0, 45.0], [83.0, 40.0]], ('Card Swiped by:', 0.9131798148155212)], [[[273.0, 24.0], [312.0, 24.0], [312.0, 48.0], [273.0, 48.0]], ('Jon', 0.9971984028816223)], [[[84.0, 43.0], [220.0, 49.0], [219.0, 73.0], [83.0, 67.0]], ('Check Number:', 0.9572480916976929)], [[[272.0, 49.0], [321.0, 49.0], [321.0, 75.0], [272.0, 75.0]], ('3388', 0.9970120191574097)], [[[81.0, 71.0], [200.0, 75.0], [199.0, 99.0], [80.0, 95.0]], ('Tab Number:', 0.938359797000885)], [[[272.0, 76.0], [296.0, 76.0], [296.0, 101.0], [272.0, 101.0]], ('31', 0.9986892342567444)], [[[78.0, 98.0], [198.0, 102.0], [197.0, 126.0], [77.0, 122.0]], ('Card Owner:', 0.933319091796875)], [[[272.0, 107.0], [422.0, 107.0], [422.0, 131.0], [272.0, 131.0]], ('manning/peyton', 0.995656430721283)], [[[127.0, 210.0], [212.0, 212.0], [212.0, 237.0], [126.0, 235.0]], ('SUBTOTAL', 0.9886460900306702)], [[[289.0, 211.0], [360.0, 214.0], [358.0, 243.0], [288.0, 240.0]], ('739.58', 0.9949057698249817)], [[[43.0, 238.0], [268.0, 238.0], [268.0, 272.0], [43.0, 272.0]], ('18%GRATUITY', 0.9948039650917053)], [[[276.0, 251.0], [399.0, 245.0], [401.0, 292.0], [278.0, 298.0]], ('H00.00', 0.67524653673172)], [[[71.0, 276.0], [236.0, 276.0], [236.0, 314.0], [71.0, 314.0]], ('INCLUDED', 0.9925333261489868)], [[[262.0, 317.0], [430.0, 328.0], [427.0, 381.0], [259.0, 370.0]], ('939.58', 0.9891753792762756)], [[[110.0, 351.0], [218.0, 354.0], [217.0, 382.0], [109.0, 379.0]], ('TOTAL', 0.9987791776657104)], [[[252.0, 386.0], [432.0, 390.0], [432.0, 414.0], [251.0, 410.0]], ('Approva109545Z', 0.9060786366462708)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "739.58", "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	[[[[72.0, 13.0], [135.0, 13.0], [135.0, 27.0], [72.0, 27.0]], ('WELCOME', 0.9959850311279297)], [[[23.0, 26.0], [128.0, 26.0], [128.0, 39.0], [23.0, 39.0]], ('CHEVRON MD27', 0.9195313453674316)], [[[23.0, 38.0], [127.0, 38.0], [127.0, 51.0], [23.0, 51.0]], ('7210YORKRD', 0.9540770649909973)], [[[22.0, 51.0], [127.0, 51.0], [127.0, 63.0], [22.0, 63.0]], ('TOWSON 21212', 0.9318857192993164)], [[[159.0, 50.0], [181.0, 50.0], [181.0, 65.0], [159.0, 65.0]], ('MD', 0.9786159992218018)], [[[21.0, 74.0], [134.0, 74.0], [134.0, 88.0], [21.0, 88.0]], ('Stn# 00307312', 0.9426506757736206)], [[[20.0, 84.0], [60.0, 87.0], [59.0, 101.0], [19.0, 98.0]], ('UISA', 0.8802984952926636)], [[[20.0, 95.0], [135.0, 98.0], [135.0, 115.0], [19.0, 111.0]], ('INU#1217477', 0.9539006948471069)], [[[20.0, 112.0], [135.0, 112.0], [135.0, 125.0], [20.0, 125.0]], ('AUTH #162445', 0.9439124464988708)], [[[18.0, 122.0], [136.0, 124.0], [136.0, 137.0], [18.0, 135.0]], ('DATE09/11/08', 0.9812927842140198)], [[[18.0, 133.0], [102.0, 133.0], [102.0, 150.0], [18.0, 150.0]], ('PUMP#03', 0.8990352749824524)], [[[150.0, 124.0], [196.0, 124.0], [196.0, 138.0], [150.0, 138.0]], ('16:25', 0.8992084264755249)], [[[18.0, 146.0], [149.0, 147.0], [148.0, 163.0], [18.0, 162.0]], ('PRODUCTREGUNL', 0.9822821021080017)], [[[19.0, 160.0], [89.0, 160.0], [89.0, 173.0], [19.0, 173.0]], ('GALLONS:', 0.9473001956939697)], [[[147.0, 169.0], [197.0, 169.0], [197.0, 189.0], [147.0, 189.0]], ('3599', 0.9832261800765991)], [[[148.0, 160.0], [193.0, 160.0], [193.0, 174.0], [148.0, 174.0]], ('0.931', 0.9948928952217102)], [[[19.0, 172.0], [91.0, 172.0], [91.0, 185.0], [19.0, 185.0]], ('PRICE/G', 0.9868900179862976)], [[[18.0, 184.0], [109.0, 184.0], [109.0, 197.0], [18.0, 197.0]], ('FUELSALE', 0.9880886077880859)], [[[156.0, 180.0], [196.0, 180.0], [196.0, 201.0], [156.0, 201.0]], ('3.35', 0.9876320958137512)], [[[18.0, 207.0], [133.0, 209.0], [133.0, 223.0], [18.0, 221.0]], ('Tell us about', 0.9422738552093506)], [[[18.0, 221.0], [133.0, 221.0], [133.0, 234.0], [18.0, 234.0]], ('Your shoppins', 0.8252711892127991)], [[[19.0, 234.0], [134.0, 234.0], [134.0, 246.0], [19.0, 246.0]], ('exeerience by', 0.8821028470993042)], [[[19.0, 244.0], [125.0, 245.0], [125.0, 258.0], [19.0, 257.0]], ('lossins onto', 0.9460845589637756)], [[[18.0, 256.0], [176.0, 256.0], [176.0, 270.0], [18.0, 270.0]], ('Survey.Cheyron.con', 0.9364334940910339)], [[[63.0, 269.0], [144.0, 269.0], [144.0, 282.0], [63.0, 282.0]], ('THANK YOU', 0.9393587112426758)], [[[36.0, 281.0], [167.0, 281.0], [167.0, 295.0], [36.0, 295.0]], ('HAVE A NICE DAY', 0.9121734499931335)]]	{"store_name": "CHEVRONMD27", "store_addr": "7210YORKRD TOWSON21212 MD", "telephone": "", "date": "9/11/08", "time": "16:25", "subtotal": "", "tax": "", "total": "$3.35", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "REGUNL", "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	[[[[100.0, 60.0], [606.0, 55.0], [606.0, 80.0], [100.0, 86.0]], ('xxxxxx Abs1nthe xx*xxxxx', 0.6464329361915588)], [[[252.0, 92.0], [453.0, 95.0], [453.0, 124.0], [252.0, 121.0]], ('72 Boat Quay', 0.9151836037635803)], [[[218.0, 133.0], [490.0, 130.0], [490.0, 158.0], [218.0, 162.0]], ('Singapore049860', 0.934623658657074)], [[[235.0, 172.0], [472.0, 169.0], [473.0, 195.0], [235.0, 198.0]], ('Te1:62239068', 0.8555536270141602)], [[[202.0, 207.0], [507.0, 206.0], [507.0, 234.0], [202.0, 235.0]], ('GST No: 20Q604704K', 0.8332818746566772)], [[[99.0, 283.0], [300.0, 283.0], [300.0, 312.0], [99.0, 312.0]], ('306 Manager1', 0.9271859526634216)], [[[83.0, 361.0], [234.0, 361.0], [234.0, 386.0], [83.0, 386.0]], ('Tbl101/1', 0.8806607723236084)], [[[287.0, 357.0], [424.0, 357.0], [424.0, 385.0], [287.0, 385.0]], ('Chk3846', 0.9889712333679199)], [[[527.0, 357.0], [582.0, 357.0], [582.0, 385.0], [527.0, 385.0]], ('Gst', 0.992434024810791)], [[[222.0, 398.0], [491.0, 398.0], [491.0, 423.0], [222.0, 423.0]], ('0ct251208:17PM', 0.9103608727455139)], [[[111.0, 471.0], [407.0, 469.0], [407.0, 494.0], [111.0, 496.0]], ('30YSTERS32.00', 0.8535947203636169)], [[[494.0, 467.0], [582.0, 464.0], [583.0, 491.0], [495.0, 494.0]], ('64.00', 0.9879983067512512)], [[[108.0, 504.0], [389.0, 506.0], [389.0, 534.0], [108.0, 532.0]], ('1 PATA NEGRA 60q', 0.8826557993888855)], [[[497.0, 503.0], [584.0, 503.0], [584.0, 529.0], [497.0, 529.0]], ('45.00', 0.9932438135147095)], [[[105.0, 541.0], [210.0, 541.0], [210.0, 570.0], [105.0, 570.0]], ('1VEAL', 0.9766198992729187)], [[[500.0, 540.0], [589.0, 540.0], [589.0, 566.0], [500.0, 566.0]], ('50.00', 0.9482078552246094)], [[[101.0, 580.0], [213.0, 580.0], [213.0, 609.0], [101.0, 609.0]], ('1DUCK', 0.9842051267623901)], [[[502.0, 577.0], [593.0, 577.0], [593.0, 606.0], [502.0, 606.0]], ('40.00', 0.9924473762512207)], [[[96.0, 623.0], [227.0, 621.0], [227.0, 649.0], [97.0, 651.0]], ('2BREAD', 0.9813007712364197)], [[[519.0, 618.0], [596.0, 618.0], [596.0, 648.0], [519.0, 648.0]], ('0.00', 0.9892584681510925)], [[[99.0, 664.0], [427.0, 660.0], [427.0, 688.0], [99.0, 692.0]], ('1MILLEFEUILLE CAF', 0.927204966545105)], [[[507.0, 660.0], [596.0, 660.0], [596.0, 690.0], [507.0, 690.0]], ('15.00', 0.9877787828445435)], [[[94.0, 707.0], [353.0, 704.0], [353.0, 732.0], [95.0, 736.0]], ('1 CREME BRULEE', 0.903789222240448)], [[[506.0, 702.0], [599.0, 702.0], [599.0, 732.0], [506.0, 732.0]], ('15.00', 0.952981173992157)], [[[98.0, 748.0], [430.0, 743.0], [431.0, 771.0], [99.0, 776.0]], ('1M&MNUITSSTGEORGE', 0.970349133014679)], [[[490.0, 744.0], [598.0, 741.0], [599.0, 772.0], [490.0, 774.0]], ('138.00', 0.9752010703086853)], [[[134.0, 830.0], [281.0, 830.0], [281.0, 858.0], [134.0, 858.0]], ('Subtotal', 0.996293306350708)], [[[488.0, 824.0], [597.0, 822.0], [598.0, 851.0], [488.0, 853.0]], ('3000', 0.6558138132095337)], [[[136.0, 870.0], [247.0, 870.0], [247.0, 899.0], [136.0, 899.0]], ('7%GST', 0.9606825709342957)], [[[505.0, 862.0], [595.0, 859.0], [596.0, 888.0], [506.0, 891.0]], ('28.26', 0.9440620541572571)], [[[504.0, 899.0], [594.0, 894.0], [595.0, 921.0], [505.0, 926.0]], ('36.70', 0.9825822710990906)], [[[140.0, 910.0], [354.0, 905.0], [355.0, 934.0], [140.0, 939.0]], ('10% SvcChg', 0.8897148966789246)], [[[72.0, 933.0], [304.0, 940.0], [303.0, 975.0], [71.0, 968.0]], ('09:55PM Total', 0.8820101618766785)], [[[378.0, 935.0], [590.0, 927.0], [591.0, 955.0], [379.0, 963.0]], ('431.95', 0.8848217129707336)]]	{"store_name": "", "store_addr": "72BoatQuay Singapore049860", "telephone": "62229068", "date": "Oct25'12", "time": "09:55PM", "subtotal": "367.00", "tax": "28.26", "total": "431.95", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DYSTERS", "item_value": "64.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PATANEGRA60g", "item_value": "45.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VEAL", "item_value": "50.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DUCK", "item_value": "40.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BREAD", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MILLEFEUILLECAR", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CREMEBRULEE", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "M&MNUITSSTGEORGE", "item_value": "138.00", "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	[[[[115.0, 35.0], [193.0, 32.0], [193.0, 49.0], [116.0, 52.0]], ('BREIZH CAFE', 0.9730643630027771)], [[[70.0, 53.0], [234.0, 49.0], [234.0, 67.0], [70.0, 71.0]], ('109 RUE VIELLE DU TEMPLE', 0.9519054293632507)], [[[115.0, 69.0], [193.0, 67.0], [193.0, 84.0], [116.0, 87.0]], ('75003 PARIS', 0.9536025524139404)], [[[88.0, 86.0], [213.0, 85.0], [213.0, 102.0], [88.0, 104.0]], ('TEL01.42.72.13.77', 0.9810817837715149)], [[[77.0, 105.0], [226.0, 103.0], [227.0, 117.0], [77.0, 120.0]], ('SIRET 49276425300018', 0.9691739082336426)], [[[84.0, 123.0], [226.0, 123.0], [226.0, 137.0], [84.0, 137.0]], ('MERCI DE VOTRE VISITE', 0.9375370740890503)], [[[99.0, 140.0], [181.0, 140.0], [181.0, 154.0], [99.0, 154.0]], ('16/07/2014', 0.9946414828300476)], [[[36.0, 151.0], [93.0, 154.0], [93.0, 172.0], [35.0, 170.0]], ('Table n"', 0.8965740203857422)], [[[57.0, 203.0], [132.0, 203.0], [132.0, 220.0], [57.0, 220.0]], ('1 6HUITRES', 0.9352286458015442)], [[[244.0, 206.0], [281.0, 206.0], [281.0, 221.0], [244.0, 221.0]], ('16.00', 0.9933894872665405)], [[[55.0, 218.0], [172.0, 220.0], [172.0, 237.0], [55.0, 235.0]], ('1 COMPLETE OIGNON', 0.9518752098083496)], [[[249.0, 221.0], [283.0, 221.0], [283.0, 239.0], [249.0, 239.0]], ('9.50', 0.9943742156028748)], [[[55.0, 233.0], [171.0, 236.0], [171.0, 253.0], [55.0, 250.0]], ('1 COMPLETE MIROIR', 0.9468140602111816)], [[[249.0, 237.0], [283.0, 240.0], [281.0, 259.0], [247.0, 256.0]], ('8.50', 0.9937665462493896)], [[[55.0, 249.0], [127.0, 251.0], [126.0, 268.0], [55.0, 266.0]], ('1NORDIQUE', 0.9847407937049866)], [[[243.0, 254.0], [283.0, 256.0], [282.0, 275.0], [242.0, 272.0]], ('12.50', 0.9930294156074524)], [[[55.0, 266.0], [151.0, 268.0], [151.0, 285.0], [55.0, 283.0]], ('1 SALADE VERTE', 0.9334538578987122)], [[[249.0, 272.0], [282.0, 275.0], [281.0, 291.0], [247.0, 288.0]], ('3.80', 0.9953514337539673)], [[[56.0, 284.0], [162.0, 284.0], [162.0, 301.0], [56.0, 301.0]], ('2 VERRE MUSCADET', 0.9430007934570312)], [[[56.0, 298.0], [176.0, 300.0], [176.0, 319.0], [56.0, 316.0]], ('1 CARAFFE MUSCADET', 0.932509183883667)], [[[244.0, 291.0], [280.0, 291.0], [280.0, 306.0], [244.0, 306.0]], ('10.00', 0.9941417574882507)], [[[243.0, 306.0], [281.0, 306.0], [281.0, 324.0], [243.0, 324.0]], ('18.00', 0.9942671656608582)], [[[34.0, 354.0], [111.0, 348.0], [112.0, 366.0], [35.0, 372.0]], ('TVA10.00%', 0.9911494851112366)], [[[160.0, 347.0], [203.0, 351.0], [202.0, 369.0], [159.0, 365.0]], ('45.73)', 0.9308245182037354)], [[[160.0, 364.0], [203.0, 368.0], [202.0, 385.0], [159.0, 381.0]], ('23.33)', 0.9451088905334473)], [[[249.0, 356.0], [279.0, 356.0], [279.0, 371.0], [249.0, 371.0]], ('4.57', 0.9905914664268494)], [[[35.0, 369.0], [108.0, 366.0], [109.0, 384.0], [36.0, 386.0]], ('TVA 20.00%', 0.9388575553894043)], [[[118.0, 370.0], [124.0, 370.0], [124.0, 379.0], [118.0, 379.0]], ('-', 0.7222927808761597)], [[[248.0, 369.0], [279.0, 372.0], [278.0, 388.0], [246.0, 385.0]], ('4.67', 0.9928098320960999)], [[[38.0, 386.0], [120.0, 386.0], [120.0, 400.0], [38.0, 400.0]], ('Tota HTVA', 0.9438090920448303)], [[[241.0, 383.0], [278.0, 386.0], [277.0, 402.0], [240.0, 399.0]], ('69.06', 0.9400402307510376)], [[[38.0, 397.0], [132.0, 404.0], [130.0, 432.0], [36.0, 425.0]], ('Total a Payer', 0.9710909724235535)], [[[200.0, 400.0], [261.0, 400.0], [261.0, 425.0], [200.0, 425.0]], ('78.30E', 0.8365806937217712)], [[[253.0, 403.0], [276.0, 403.0], [276.0, 422.0], [253.0, 422.0]], ('EUR', 0.9965621829032898)]]	{"store_name": "BREIZHCAFE", "store_addr": "109RUEVIELLEDUTEMPLE 75003PARIS", "telephone": "01.42.72.13.77", "date": "16/07/2014", "time": "", "subtotal": "69.06", "tax": "4.57 4.67", "total": "78.30EUR", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "6HUITRES", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "COMPLETEOIGNON", "item_value": "9.50", "item_quantity": "1"}, {"item_key": "", "item_name": "COMPLETEMIROIR", "item_value": "8.50", "item_quantity": "1"}, {"item_key": "", "item_name": "NORDIQUE", "item_value": "12.50", "item_quantity": "1"}, {"item_key": "", "item_name": "SALADEVERTE", "item_value": "3.80", "item_quantity": "1"}, {"item_key": "", "item_name": "VERREMUSCADET", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CARAFFEMUSCADET", "item_value": "18.00", "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	[[[[95.0, 8.0], [219.0, 6.0], [219.0, 30.0], [95.0, 32.0]], ('VICTORYPARADE', 0.7699323892593384)], [[[66.0, 27.0], [242.0, 24.0], [242.0, 38.0], [66.0, 41.0]], ('EAST VILLAGELONDONE20 IFS', 0.9296550750732422)], [[[98.0, 60.0], [212.0, 58.0], [212.0, 72.0], [98.0, 74.0]], ('TEL:020 8534 4579', 0.9078392386436462)], [[[110.0, 74.0], [200.0, 74.0], [200.0, 88.0], [110.0, 88.0]], ('[email protected]', 0.9556666612625122)], [[[109.0, 89.0], [195.0, 87.0], [195.0, 101.0], [110.0, 104.0]], ('www.dhe20.com', 0.9766236543655396)], [[[30.0, 137.0], [57.0, 137.0], [57.0, 152.0], [30.0, 152.0]], ('SARA', 0.9980425834655762)], [[[140.0, 134.0], [163.0, 134.0], [163.0, 150.0], [140.0, 150.0]], ('REG', 0.9976921081542969)], [[[245.0, 131.0], [286.0, 131.0], [286.0, 146.0], [245.0, 146.0]], ('TILL 2', 0.9171144366264343)], [[[31.0, 152.0], [150.0, 149.0], [150.0, 166.0], [31.0, 169.0]], ('SUNDAY 11JUNE 2017', 0.9471273422241211)], [[[206.0, 149.0], [240.0, 149.0], [240.0, 164.0], [206.0, 164.0]], ('13:59', 0.9711830019950867)], [[[79.0, 198.0], [112.0, 198.0], [112.0, 209.0], [79.0, 209.0]], ('TA', 0.9758474826812744)], [[[123.0, 194.0], [159.0, 196.0], [158.0, 210.0], [123.0, 208.0]], ('NO:', 0.9154741168022156)], [[[57.0, 233.0], [108.0, 231.0], [109.0, 246.0], [58.0, 248.0]], ('AVOCADO', 0.9952753186225891)], [[[253.0, 235.0], [292.0, 237.0], [291.0, 252.0], [252.0, 250.0]], ('6.50', 0.981084406375885)], [[[56.0, 248.0], [118.0, 248.0], [118.0, 262.0], [56.0, 262.0]], ('OPEN FOOD', 0.9522214531898499)], [[[253.0, 249.0], [294.0, 251.0], [293.0, 270.0], [252.0, 267.0]], ('6.75', 0.9941447973251343)], [[[47.0, 276.0], [106.0, 278.0], [105.0, 296.0], [47.0, 293.0]], ('SUBTOTAL', 0.9953745603561401)], [[[248.0, 283.0], [296.0, 286.0], [295.0, 304.0], [247.0, 301.0]], ('13.25', 0.9892856478691101)], [[[44.0, 293.0], [206.0, 301.0], [205.0, 319.0], [43.0, 311.0]], ('discretionary gratuity', 0.957099199295044)], [[[255.0, 300.0], [297.0, 303.0], [296.0, 322.0], [254.0, 319.0]], ('1.65', 0.989482045173645)], [[[42.0, 310.0], [80.0, 313.0], [79.0, 331.0], [41.0, 328.0]], ('TOTAL', 0.9985078573226929)], [[[204.0, 318.0], [296.0, 323.0], [295.0, 340.0], [203.0, 335.0]], ('14.90', 0.9880188703536987)], [[[54.0, 331.0], [236.0, 339.0], [236.0, 356.0], [54.0, 348.0]], ('THANK YOU & SEE YOU SOON', 0.9300584197044373)], [[[82.0, 352.0], [206.0, 358.0], [205.0, 375.0], [81.0, 369.0]], ('VAT:207372130', 0.959367036819458)]]	{"store_name": "DARKHORSE", "store_addr": "16-19VICTORY.PARADE EASTVILLAGE,LONDON,E201FS", "telephone": "02085344579", "date": "11JUNE2017", "time": "13:59", "subtotal": "\u00a313.25", "tax": "", "total": "\u00a314.90", "ignore": "", "tips": "\u00a31.65", "line_items": [{"item_key": "", "item_name": "OPENFOOD", "item_value": "\u00a36.75", "item_quantity": "1"}, {"item_key": "", "item_name": "AVDCADO", "item_value": "\u00a36.50", "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	[[[[48.0, 10.0], [290.0, 29.0], [289.0, 52.0], [46.0, 33.0]], ('Port Charlotte Hotel', 0.9335291981697083)], [[[46.0, 38.0], [146.0, 46.0], [144.0, 72.0], [44.0, 64.0]], ('Main St.', 0.9706761837005615)], [[[45.0, 69.0], [218.0, 81.0], [217.0, 106.0], [43.0, 93.0]], ('Port Charlotte', 0.9791098833084106)], [[[44.0, 96.0], [110.0, 104.0], [107.0, 131.0], [41.0, 123.0]], ('Islay', 0.9948382377624512)], [[[41.0, 124.0], [147.0, 134.0], [145.0, 162.0], [38.0, 153.0]], ('PA487TX', 0.9921451210975647)], [[[137.0, 247.0], [323.0, 253.0], [323.0, 280.0], [136.0, 274.0]], ('22/07/1821:42', 0.983267068862915)], [[[139.0, 339.0], [320.0, 344.0], [319.0, 369.0], [138.0, 364.0]], ('Operator:Calum', 0.9526352882385254)], [[[365.0, 343.0], [487.0, 347.0], [486.0, 375.0], [364.0, 371.0]], ('Table:221', 0.912010908126831)], [[[135.0, 367.0], [200.0, 370.0], [198.0, 400.0], [134.0, 397.0]], ('Name:', 0.9790152311325073)], [[[376.0, 376.0], [486.0, 378.0], [485.0, 403.0], [376.0, 400.0]], ('Covers:4', 0.943057656288147)], [[[139.0, 510.0], [314.0, 514.0], [314.0, 538.0], [138.0, 534.0]], ('1 Real Ale half', 0.910411536693573)], [[[414.0, 518.0], [473.0, 518.0], [473.0, 539.0], [414.0, 539.0]], ('2.30', 0.9977739453315735)], [[[139.0, 535.0], [257.0, 539.0], [256.0, 563.0], [138.0, 559.0]], ('1 Real Ale', 0.8890517354011536)], [[[411.0, 539.0], [471.0, 542.0], [470.0, 568.0], [410.0, 565.0]], ('4.50', 0.993228018283844)], [[[139.0, 567.0], [256.0, 567.0], [256.0, 590.0], [139.0, 590.0]], ('1 Real Ale', 0.8800180554389954)], [[[410.0, 566.0], [471.0, 569.0], [470.0, 595.0], [409.0, 592.0]], ('4.50', 0.9934935569763184)], [[[138.0, 594.0], [210.0, 594.0], [210.0, 618.0], [138.0, 618.0]], ('1 Best', 0.9122531414031982)], [[[409.0, 594.0], [470.0, 597.0], [469.0, 623.0], [408.0, 620.0]], ('4.30', 0.9955995082855225)], [[[135.0, 623.0], [277.0, 623.0], [277.0, 646.0], [135.0, 646.0]], ('3 EB VENISON', 0.9164132475852966)], [[[397.0, 621.0], [468.0, 624.0], [467.0, 650.0], [396.0, 647.0]], ('44.85', 0.9904211163520813)], [[[139.0, 652.0], [363.0, 652.0], [363.0, 672.0], [139.0, 672.0]], ('1EB VEGETABLE CURRY', 0.9403176307678223)], [[[396.0, 648.0], [467.0, 651.0], [466.0, 677.0], [395.0, 674.0]], ('13.75', 0.9938138127326965)], [[[148.0, 680.0], [252.0, 680.0], [252.0, 701.0], [148.0, 701.0]], ('OPEN FOOD', 0.9510421752929688)], [[[407.0, 678.0], [465.0, 678.0], [465.0, 704.0], [407.0, 704.0]], ('6.25', 0.9945940971374512)], [[[136.0, 707.0], [286.0, 707.0], [286.0, 731.0], [136.0, 731.0]], ('1 Ginger Beer', 0.9254500865936279)], [[[405.0, 703.0], [466.0, 706.0], [464.0, 731.0], [404.0, 728.0]], ('3.00', 0.9959776401519775)], [[[138.0, 735.0], [361.0, 735.0], [361.0, 755.0], [138.0, 755.0]], ('1 EB BASKET OF BREAD', 0.9166355133056641)], [[[404.0, 733.0], [464.0, 733.0], [464.0, 758.0], [404.0, 758.0]], ('2.50', 0.9921399354934692)], [[[133.0, 761.0], [363.0, 760.0], [363.0, 783.0], [133.0, 785.0]], ('1 EB MANGO & HONEY C', 0.8815204501152039)], [[[403.0, 760.0], [463.0, 760.0], [463.0, 784.0], [403.0, 784.0]], ('6.50', 0.9920236468315125)], [[[130.0, 842.0], [269.0, 838.0], [269.0, 864.0], [131.0, 868.0]], ('Balance Due:', 0.9128482341766357)], [[[393.0, 839.0], [463.0, 839.0], [463.0, 865.0], [393.0, 865.0]], ('92.45', 0.9910949468612671)], [[[24.0, 1034.0], [331.0, 1025.0], [331.0, 1050.0], [25.0, 1059.0]], ('Thank You for Your Custom', 0.9351664781570435)], [[[20.0, 1068.0], [309.0, 1061.0], [310.0, 1084.0], [21.0, 1091.0]], ('VAT Number804 7856 12', 0.9181500673294067)]]	{"store_name": "PortCharlotteHotel", "store_addr": "MainSt. PortCharlotte Islay PA487TX", "telephone": "", "date": "22/07/18", "time": "21:42", "subtotal": "", "tax": "", "total": "\u00a392.45", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "RealAlehalf", "item_value": "\u00a32.30", "item_quantity": "1"}, {"item_key": "", "item_name": "RealAle", "item_value": "\u00a34.50", "item_quantity": "1"}, {"item_key": "", "item_name": "RealAle", "item_value": "\u00a34.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Best", "item_value": "\u00a34.30", "item_quantity": "1"}, {"item_key": "", "item_name": "EBVENISON", "item_value": "\u00a344.85", "item_quantity": "1"}, {"item_key": "", "item_name": "EBVEGETABLECURRY", "item_value": "\u00a313.75", "item_quantity": "1"}, {"item_key": "", "item_name": "OPENFOOD", "item_value": "\u00a36.25", "item_quantity": "1"}, {"item_key": "", "item_name": "GingerBeer", "item_value": "\u00a33.00", "item_quantity": "1"}, {"item_key": "", "item_name": "EBBASKETOFBREAD", "item_value": "\u00a32.50", "item_quantity": "1"}, {"item_key": "", "item_name": "EBMANGO&HONEYC", "item_value": "\u00a36.50", "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	[[[[31.0, 10.0], [279.0, 5.0], [279.0, 22.0], [32.0, 27.0]], ('Tel 65099698 Fax 65091996', 0.9163209199905396)], [[[32.0, 29.0], [206.0, 25.0], [207.0, 40.0], [33.0, 45.0]], ('GST NO.M2-0117072-9', 0.9280117154121399)], [[[36.0, 71.0], [160.0, 68.0], [160.0, 85.0], [37.0, 88.0]], ('TABLE4', 0.984272301197052)], [[[153.0, 68.0], [283.0, 65.0], [284.0, 82.0], [154.0, 85.0]], ('Check134175', 0.9921127557754517)], [[[36.0, 95.0], [169.0, 93.0], [169.0, 110.0], [37.0, 112.0]], ('Date09Jul13', 0.9712859988212585)], [[[196.0, 92.0], [286.0, 89.0], [287.0, 106.0], [196.0, 109.0]], ('Time:12:58', 0.9280964732170105)], [[[40.0, 114.0], [169.0, 112.0], [169.0, 126.0], [41.0, 128.0]], ('Staff: Linda Foo', 0.9181603193283081)], [[[207.0, 109.0], [273.0, 109.0], [273.0, 126.0], [207.0, 126.0]], ('Cover:6', 0.9618224501609802)], [[[41.0, 132.0], [109.0, 129.0], [110.0, 144.0], [42.0, 146.0]], ('Print:1', 0.9383296966552734)], [[[44.0, 167.0], [54.0, 164.0], [57.0, 177.0], [47.0, 180.0]], ('1', 0.9771896004676819)], [[[77.0, 163.0], [156.0, 161.0], [156.0, 176.0], [77.0, 178.0]], ('Sprite-Can', 0.986572265625)], [[[267.0, 159.0], [302.0, 159.0], [302.0, 174.0], [267.0, 174.0]], ('2.60', 0.9852181077003479)], [[[47.0, 180.0], [60.0, 180.0], [60.0, 195.0], [47.0, 195.0]], ('2', 0.9968571662902832)], [[[78.0, 180.0], [216.0, 177.0], [217.0, 191.0], [78.0, 194.0]], ('DF Seafood Platter', 0.9363825917243958)], [[[260.0, 175.0], [300.0, 173.0], [301.0, 189.0], [261.0, 191.0]], ('31.60', 0.9896444082260132)], [[[49.0, 198.0], [58.0, 198.0], [58.0, 210.0], [49.0, 210.0]], ('1', 0.9763776063919067)], [[[80.0, 194.0], [231.0, 192.0], [231.0, 209.0], [80.0, 211.0]], ('GrilFishFillet/Fries', 0.9786697626113892)], [[[266.0, 192.0], [302.0, 192.0], [302.0, 207.0], [266.0, 207.0]], ('086', 0.962717592716217)], [[[81.0, 211.0], [204.0, 210.0], [204.0, 223.0], [81.0, 224.0]], ('Bk Rice/ParkChop', 0.9232535362243652)], [[[267.0, 207.0], [301.0, 207.0], [301.0, 221.0], [267.0, 221.0]], ('9.80', 0.990774393081665)], [[[81.0, 226.0], [231.0, 223.0], [231.0, 237.0], [81.0, 240.0]], ('Spaghetti/FishFillet', 0.9614909887313843)], [[[262.0, 222.0], [301.0, 222.0], [301.0, 237.0], [262.0, 237.0]], ('10.80', 0.978435218334198)], [[[81.0, 241.0], [219.0, 239.0], [220.0, 256.0], [81.0, 258.0]], ('Spaghetti/PorkChop', 0.9822642803192139)], [[[268.0, 238.0], [302.0, 238.0], [302.0, 253.0], [268.0, 253.0]], ('086', 0.9386322498321533)], [[[51.0, 261.0], [60.0, 261.0], [60.0, 273.0], [51.0, 273.0]], ('1', 0.9919370412826538)], [[[81.0, 258.0], [226.0, 255.0], [227.0, 271.0], [81.0, 274.0]], ('Rice/ChknP.Ssg&Mush', 0.9873827695846558)], [[[269.0, 255.0], [303.0, 255.0], [303.0, 270.0], [269.0, 270.0]], ('7.80', 0.9821077585220337)], [[[52.0, 279.0], [60.0, 279.0], [60.0, 290.0], [52.0, 290.0]], ('1', 0.9958997368812561)], [[[81.0, 276.0], [204.0, 272.0], [205.0, 289.0], [81.0, 293.0]], ('Set Lunch Add $4', 0.943595826625824)], [[[270.0, 272.0], [303.0, 272.0], [303.0, 287.0], [270.0, 287.0]], ('4.00', 0.9938169121742249)], [[[180.0, 307.0], [227.0, 307.0], [227.0, 322.0], [180.0, 322.0]], ('Subtot', 0.9969319701194763)], [[[263.0, 305.0], [304.0, 305.0], [304.0, 320.0], [263.0, 320.0]], ('86.20', 0.9900079965591431)], [[[148.0, 325.0], [227.0, 322.0], [228.0, 339.0], [149.0, 342.0]], ('S.C.10%', 0.9631257653236389)], [[[270.0, 322.0], [304.0, 322.0], [304.0, 337.0], [270.0, 337.0]], ('8.62', 0.9852526187896729)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "09Jul,13 65099698", "time": "12:58", "subtotal": "86.20", "tax": "8.62", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SetLunchAdd$4", "item_value": "2.60", "item_quantity": "1"}, {"item_key": "", "item_name": "Rice/ChknP.Ssg&Mush", "item_value": "31.60", "item_quantity": "1"}, {"item_key": "", "item_name": "Spaghetti/PorkChop", "item_value": "9.80", "item_quantity": "1"}, {"item_key": "", "item_name": "Spaghetti/FishFillet", "item_value": "9.80", "item_quantity": "1"}, {"item_key": "", "item_name": "BkRice/PorkChop", "item_value": "10.80", "item_quantity": "1"}, {"item_key": "", "item_name": "GrilFishFillet/Fries", "item_value": "9.80", "item_quantity": "1"}, {"item_key": "", "item_name": "DFSeafoodPlatter", "item_value": "7.80", "item_quantity": "1"}, {"item_key": "", "item_name": "Sprite-Can", "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	[[[[120.0, 36.0], [176.0, 34.0], [176.0, 48.0], [120.0, 51.0]], ('CREDIT CARD', 0.9576892256736755)], [[[130.0, 50.0], [158.0, 50.0], [158.0, 61.0], [130.0, 61.0]], ('ORDER', 0.994433581829071)], [[[135.0, 72.0], [158.0, 72.0], [158.0, 85.0], [135.0, 85.0]], ('8076', 0.997073233127594)], [[[111.0, 84.0], [180.0, 81.0], [180.0, 96.0], [111.0, 98.0]], ('Dominos Pizza', 0.9324122071266174)], [[[113.0, 96.0], [181.0, 94.0], [181.0, 108.0], [113.0, 111.0]], ('254228-5584', 0.9691810607910156)], [[[73.0, 119.0], [121.0, 119.0], [121.0, 133.0], [73.0, 133.0]], ('7/31/2014', 0.9963828325271606)], [[[186.0, 119.0], [222.0, 119.0], [222.0, 130.0], [186.0, 130.0]], ('6:00PM', 0.9263284802436829)], [[[74.0, 132.0], [126.0, 132.0], [126.0, 143.0], [74.0, 143.0]], ('Order 21263', 0.9282293915748596)], [[[169.0, 131.0], [221.0, 131.0], [221.0, 142.0], [169.0, 142.0]], ('Server 1037', 0.961086094379425)], [[[121.0, 154.0], [168.0, 151.0], [168.0, 166.0], [121.0, 168.0]], ('Carry-Out', 0.9283576607704163)], [[[111.0, 165.0], [184.0, 165.0], [184.0, 176.0], [111.0, 176.0]], ('THOMASJEFFERSON', 0.9848843216896057)], [[[116.0, 188.0], [180.0, 188.0], [180.0, 199.0], [116.0, 199.0]], ('254)366-6062', 0.9166250228881836)], [[[124.0, 209.0], [172.0, 209.0], [172.0, 221.0], [124.0, 221.0]], ('Mastercard', 0.9810683131217957)], [[[77.0, 220.0], [138.0, 220.0], [138.0, 231.0], [77.0, 231.0]], ('CREDIT CARD', 0.9372234344482422)], [[[79.0, 231.0], [119.0, 231.0], [119.0, 242.0], [79.0, 242.0]], ('REFERENCE', 0.9926354289054871)], [[[79.0, 241.0], [136.0, 241.0], [136.0, 253.0], [79.0, 253.0]], ('APPROVAL CODE', 0.9562098383903503)], [[[190.0, 239.0], [221.0, 239.0], [221.0, 254.0], [190.0, 254.0]], ('097475', 0.9975040555000305)], [[[79.0, 263.0], [107.0, 263.0], [107.0, 274.0], [79.0, 274.0]], ('Amount', 0.9876895546913147)], [[[184.0, 261.0], [217.0, 261.0], [217.0, 275.0], [184.0, 275.0]], ('$16.28', 0.9299824833869934)], [[[78.0, 283.0], [96.0, 283.0], [96.0, 296.0], [78.0, 296.0]], ('Tip', 0.7977544665336609)], [[[79.0, 303.0], [103.0, 303.0], [103.0, 316.0], [79.0, 316.0]], ('Total', 0.9085776209831238)], [[[94.0, 324.0], [146.0, 324.0], [146.0, 351.0], [94.0, 351.0]], ('DaD', 0.9004685878753662)], [[[128.0, 353.0], [167.0, 353.0], [167.0, 364.0], [128.0, 364.0]], ('SIGNATURE', 0.9049746990203857)], [[[84.0, 365.0], [214.0, 369.0], [214.0, 387.0], [84.0, 382.0]], ('E PAYH8EOTAL', 0.6730208992958069)], [[[82.0, 376.0], [214.0, 382.0], [214.0, 396.0], [82.0, 391.0]], ('ACCORNG 1O CARDISSUER', 0.7455633878707886)], [[[127.0, 389.0], [167.0, 391.0], [167.0, 402.0], [127.0, 400.0]], ('AGREEMENT', 0.9390531182289124)]]	{"store_name": "Domino'sPizza", "store_addr": "", "telephone": "(254)228-5584", "date": "7/31/2014", "time": "6:00PM", "subtotal": "", "tax": "", "total": "$15.28", "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, 134.0], [174.0, 132.0], [175.0, 151.0], [83.0, 153.0]], ('Check:13074', 0.9733858108520508)], [[[82.0, 154.0], [151.0, 154.0], [151.0, 176.0], [82.0, 176.0]], ('Table:44', 0.9605087041854858)], [[[82.0, 178.0], [157.0, 178.0], [157.0, 197.0], [82.0, 197.0]], ('Customer:', 0.9903092980384827)], [[[82.0, 201.0], [231.0, 201.0], [231.0, 219.0], [82.0, 219.0]], ('Server:Gabriella T', 0.9151431322097778)], [[[81.0, 224.0], [150.0, 224.0], [150.0, 243.0], [81.0, 243.0]], ('01/12/16', 0.9970543384552002)], [[[361.0, 224.0], [423.0, 224.0], [423.0, 246.0], [361.0, 246.0]], ('06:27pm', 0.9451125860214233)], [[[92.0, 270.0], [168.0, 270.0], [168.0, 292.0], [92.0, 292.0]], ('[Seat1]', 0.9632827043533325)], [[[96.0, 290.0], [145.0, 294.0], [143.0, 317.0], [94.0, 313.0]], ('1 Tea', 0.925179660320282)], [[[385.0, 294.0], [430.0, 291.0], [431.0, 314.0], [386.0, 317.0]], ('$2.79', 0.9929407238960266)], [[[119.0, 319.0], [153.0, 319.0], [153.0, 336.0], [119.0, 336.0]], ('1', 0.9559060335159302)], [[[147.0, 319.0], [332.0, 319.0], [332.0, 336.0], [147.0, 336.0]], ('Chocolate P', 0.9445741772651672)], [[[345.0, 318.0], [430.0, 318.0], [430.0, 336.0], [345.0, 336.0]], ('$7.00', 0.9971739053726196)], [[[116.0, 340.0], [312.0, 341.0], [312.0, 361.0], [116.0, 360.0]], ('1 Honor Ro11', 0.9179428219795227)], [[[346.0, 342.0], [429.0, 342.0], [429.0, 360.0], [346.0, 360.0]], ('$9.75', 0.9533692598342896)], [[[118.0, 365.0], [281.0, 367.0], [281.0, 385.0], [118.0, 383.0]], ('1Homeroom', 0.994125247001648)], [[[327.0, 365.0], [429.0, 362.0], [430.0, 383.0], [328.0, 386.0]], ('$10.50', 0.9968873858451843)], [[[83.0, 385.0], [169.0, 388.0], [168.0, 410.0], [82.0, 407.0]], ('[Seat 2]', 0.9248872399330139)], [[[98.0, 411.0], [145.0, 411.0], [145.0, 431.0], [98.0, 431.0]], ('1 Tea', 0.9317949414253235)], [[[387.0, 409.0], [432.0, 409.0], [432.0, 429.0], [387.0, 429.0]], ('$2.79', 0.9935529828071594)], [[[119.0, 435.0], [282.0, 435.0], [282.0, 453.0], [119.0, 453.0]], ('1Homeroom', 0.9940819144248962)], [[[331.0, 433.0], [430.0, 432.0], [430.0, 451.0], [331.0, 452.0]], ('$10.50', 0.993805468082428)], [[[165.0, 457.0], [230.0, 457.0], [230.0, 476.0], [165.0, 476.0]], ('Beef', 0.9940086603164673)], [[[346.0, 455.0], [431.0, 453.0], [432.0, 475.0], [347.0, 477.0]], ('$5.00', 0.993338942527771)], [[[83.0, 480.0], [168.0, 480.0], [168.0, 502.0], [83.0, 502.0]], ('[Seat 3]', 0.894541323184967)], [[[97.0, 504.0], [201.0, 504.0], [201.0, 525.0], [97.0, 525.0]], ('1Dr.Pepper', 0.9746749997138977)], [[[388.0, 501.0], [435.0, 501.0], [435.0, 524.0], [388.0, 524.0]], ('$2.79', 0.9923388361930847)], [[[115.0, 528.0], [433.0, 525.0], [433.0, 545.0], [115.0, 548.0]], ('1The Pre-Sch $7.75', 0.9419831037521362)], [[[116.0, 553.0], [283.0, 553.0], [283.0, 571.0], [116.0, 571.0]], ('1Homeroom', 0.9943699240684509)], [[[334.0, 551.0], [434.0, 551.0], [434.0, 570.0], [334.0, 570.0]], ('$10.50', 0.9953122138977051)], [[[162.0, 598.0], [242.0, 598.0], [242.0, 620.0], [162.0, 620.0]], ('Subtotal:', 0.9879783987998962)], [[[376.0, 597.0], [432.0, 597.0], [432.0, 619.0], [376.0, 619.0]], ('$69.37', 0.9912996888160706)], [[[154.0, 625.0], [241.0, 625.0], [241.0, 644.0], [154.0, 644.0]], ('Sales Tax:', 0.9042835235595703)], [[[385.0, 623.0], [433.0, 623.0], [433.0, 643.0], [385.0, 643.0]], ('$5.72', 0.995313823223114)], [[[153.0, 650.0], [240.0, 650.0], [240.0, 669.0], [153.0, 669.0]], ('Sub w/Tax:', 0.9083074331283569)], [[[377.0, 647.0], [433.0, 644.0], [434.0, 667.0], [378.0, 670.0]], ('$75.09', 0.9926514029502869)], [[[186.0, 673.0], [242.0, 673.0], [242.0, 696.0], [186.0, 696.0]], ('Total:', 0.984873354434967)], [[[326.0, 673.0], [434.0, 671.0], [434.0, 693.0], [327.0, 695.0]], ('$75.09', 0.9794923663139343)], [[[103.0, 729.0], [400.0, 725.0], [400.0, 746.0], [104.0, 750.0]], ('Ask Your Server About Gift Cards!', 0.9300784468650818)], [[[212.0, 753.0], [298.0, 753.0], [298.0, 778.0], [212.0, 778.0]], ('Thank-You', 0.9943387508392334)], [[[135.0, 813.0], [369.0, 808.0], [369.0, 830.0], [136.0, 835.0]], ('A 15% tip would be $10.40', 0.9092908501625061)], [[[134.0, 868.0], [370.0, 864.0], [370.0, 885.0], [134.0, 889.0]], ('A 20% tip would be $13.87', 0.9252747297286987)], [[[133.0, 923.0], [371.0, 919.0], [371.0, 939.0], [134.0, 944.0]], ('A 25% tip wou1d be $17.34', 0.914829432964325)]]	{"store_name": "Bernie'sBurgerBus", "store_addr": "", "telephone": "", "date": "01/12/16", "time": "06:27pm", "subtotal": "$69.37", "tax": "$5.72", "total": "$75.09 $75.09", "ignore": "", "tips": "$10.40 $13.87 $17.34", "line_items": [{"item_key": "", "item_name": "Tea", "item_value": "$2.79", "item_quantity": "1"}, {"item_key": "", "item_name": "ChocolateP", "item_value": "$7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "HonorRoll", "item_value": "$9.75", "item_quantity": "1"}, {"item_key": "", "item_name": "Homeroom", "item_value": "$10.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Tea", "item_value": "$10.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Homeroom", "item_value": "$2.79", "item_quantity": "1"}, {"item_key": "", "item_name": "Beef", "item_value": "$5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Dr.Pepper", "item_value": "$2.79", "item_quantity": "1"}, {"item_key": "", "item_name": "ThePre-Sch", "item_value": "$7.75", "item_quantity": "1"}, {"item_key": "", "item_name": "Homeroom", "item_value": "$10.50", "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	[[[[158.0, 196.0], [481.0, 192.0], [482.0, 240.0], [159.0, 244.0]], ('WAL*MART', 0.954899787902832)], [[[191.0, 255.0], [460.0, 251.0], [460.0, 272.0], [191.0, 276.0]], ('ALWAYS LOW PRICES.', 0.9494154453277588)], [[[257.0, 279.0], [386.0, 273.0], [389.0, 343.0], [260.0, 349.0]], ('Always', 0.9329459071159363)], [[[254.0, 366.0], [389.0, 364.0], [389.0, 386.0], [254.0, 388.0]], ('SUPERCENTER', 0.9976091384887695)], [[[242.0, 388.0], [399.0, 386.0], [400.0, 408.0], [242.0, 411.0]], ('OPEN24 HOURS', 0.9531020522117615)], [[[244.0, 410.0], [400.0, 410.0], [400.0, 431.0], [244.0, 431.0]], ('MANAGERTBA', 0.9927915334701538)], [[[223.0, 432.0], [435.0, 432.0], [435.0, 450.0], [223.0, 450.0]], ('515986-1783', 0.9664556384086609)], [[[101.0, 476.0], [188.0, 471.0], [190.0, 493.0], [102.0, 499.0]], ('BANANAS', 0.99649578332901)], [[[256.0, 472.0], [422.0, 474.0], [422.0, 495.0], [256.0, 494.0]], ('000000004011KF', 0.9951772689819336)], [[[125.0, 495.0], [215.0, 493.0], [216.0, 515.0], [126.0, 518.0]], ('0.411b', 0.9875801205635071)], [[[235.0, 500.0], [247.0, 500.0], [247.0, 511.0], [235.0, 511.0]], ('5', 0.6541569232940674)], [[[267.0, 495.0], [389.0, 495.0], [389.0, 516.0], [267.0, 516.0]], ('11b/0.49', 0.9930548667907715)], [[[480.0, 498.0], [559.0, 498.0], [559.0, 522.0], [480.0, 522.0]], ('0.20N', 0.9883301854133606)], [[[104.0, 516.0], [156.0, 516.0], [156.0, 540.0], [104.0, 540.0]], ('FRAP', 0.997178316116333)], [[[259.0, 514.0], [422.0, 517.0], [421.0, 540.0], [258.0, 536.0]], ('001200010451F', 0.9945052266120911)], [[[479.0, 518.0], [557.0, 521.0], [556.0, 544.0], [478.0, 542.0]], ('5.48N', 0.9835277795791626)], [[[247.0, 556.0], [411.0, 560.0], [411.0, 582.0], [246.0, 577.0]], ('DISCOUNT GIVEN', 0.9668139219284058)], [[[478.0, 562.0], [530.0, 562.0], [530.0, 586.0], [478.0, 586.0]], ('0.57', 0.9972060918807983)], [[[315.0, 578.0], [408.0, 582.0], [407.0, 604.0], [314.0, 600.0]], ('SUBTOTAL', 0.9951847195625305)], [[[477.0, 582.0], [530.0, 586.0], [528.0, 610.0], [475.0, 605.0]], ('5.11', 0.9974564909934998)], [[[349.0, 600.0], [408.0, 603.0], [407.0, 625.0], [348.0, 623.0]], ('TOTAL', 0.9439193606376648)], [[[476.0, 603.0], [529.0, 607.0], [527.0, 631.0], [474.0, 627.0]], ('5.11', 0.9972474575042725)], [[[293.0, 620.0], [409.0, 623.0], [409.0, 646.0], [292.0, 642.0]], ('CASH TEND', 0.9463039040565491)], [[[466.0, 625.0], [528.0, 627.0], [527.0, 651.0], [465.0, 648.0]], ('11.00', 0.9981087446212769)], [[[293.0, 641.0], [408.0, 644.0], [408.0, 666.0], [292.0, 662.0]], ('CHANGE DUE', 0.9620484113693237)], [[[475.0, 646.0], [527.0, 649.0], [526.0, 672.0], [473.0, 669.0]], ('5.89', 0.9983190298080444)], [[[161.0, 679.0], [478.0, 690.0], [477.0, 724.0], [160.0, 712.0]], ('#ITEMS SOLD2', 0.9456416964530945)], [[[162.0, 735.0], [476.0, 747.0], [476.0, 765.0], [161.0, 753.0]], ('TC# 5679834864857828 2003', 0.9450600147247314)], [[[166.0, 809.0], [495.0, 824.0], [495.0, 842.0], [165.0, 827.0]], ('THANK YOU FOR SHOPPING WITH US', 0.9340864419937134)], [[[250.0, 832.0], [413.0, 839.0], [412.0, 856.0], [249.0, 849.0]], ('NATHANIEL BUSH', 0.9586049914360046)], [[[210.0, 846.0], [440.0, 857.0], [439.0, 875.0], [209.0, 864.0]], ('Shop at Walmart & Get', 0.9365355372428894)], [[[147.0, 857.0], [512.0, 876.0], [511.0, 895.0], [146.0, 877.0]], ('Your Back to School List for Less.', 0.932217538356781)], [[[213.0, 877.0], [303.0, 880.0], [302.0, 894.0], [212.0, 890.0]], ('08/20/10', 0.9956750273704529)], [[[352.0, 881.0], [439.0, 887.0], [438.0, 902.0], [351.0, 896.0]], ('13:12:01', 0.952695369720459)]]	{"store_name": "WAL\u2605MART", "store_addr": "", "telephone": "(515)986-1783", "date": "08/20/10", "time": "13:12:01", "subtotal": "5.11", "tax": "", "total": "5.11", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BANANAS", "item_value": "0.20", "item_quantity": "1"}, {"item_key": "", "item_name": "FRAP", "item_value": "5.48", "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	[[[[105.0, 38.0], [204.0, 38.0], [204.0, 51.0], [105.0, 51.0]], ('BJS SAN RAFAEL', 0.942629337310791)], [[[108.0, 50.0], [202.0, 51.0], [202.0, 65.0], [108.0, 64.0]], ('LOCATION #495', 0.9618492126464844)], [[[19.0, 61.0], [228.0, 64.0], [228.0, 80.0], [19.0, 77.0]], ('O290 TABLE 415 #PartyO', 0.8996056914329529)], [[[19.0, 75.0], [88.0, 77.0], [88.0, 91.0], [19.0, 89.0]], ('CECILIA L', 0.9571549296379089)], [[[101.0, 78.0], [276.0, 79.0], [276.0, 93.0], [101.0, 92.0]], ('SvrCk25:26p11/08/14', 0.970245361328125)], [[[52.0, 120.0], [244.0, 124.0], [244.0, 138.0], [51.0, 133.0]], ('Next time pay when you want', 0.9328587055206299)], [[[63.0, 133.0], [225.0, 137.0], [224.0, 152.0], [63.0, 149.0]], ('with BJsMobiiePay.com', 0.8929509520530701)], [[[42.0, 149.0], [267.0, 150.0], [267.0, 167.0], [41.0, 166.0]], ('No more waiting for your check!', 0.9299083352088928)], [[[63.0, 166.0], [226.0, 168.0], [226.0, 182.0], [63.0, 180.0]], ('Pay as soon as you are', 0.9284278750419617)], [[[77.0, 181.0], [213.0, 183.0], [212.0, 197.0], [77.0, 195.0]], ('finished ordering.', 0.9690577387809753)], [[[55.0, 196.0], [236.0, 198.0], [236.0, 215.0], [54.0, 212.0]], ('Ask your server for more', 0.9296639561653137)], [[[92.0, 213.0], [197.0, 215.0], [197.0, 229.0], [92.0, 228.0]], ('details today.', 0.9655798673629761)], [[[5.0, 247.0], [138.0, 247.0], [138.0, 261.0], [5.0, 261.0]], ('BJS FRITOS NACHOS', 0.9463410377502441)], [[[279.0, 244.0], [316.0, 244.0], [316.0, 262.0], [279.0, 262.0]], ('7.50', 0.9923170804977417)], [[[3.0, 265.0], [162.0, 265.0], [162.0, 279.0], [3.0, 279.0]], ('BH DBL DELUXE BURGER', 0.9339728355407715)], [[[276.0, 262.0], [317.0, 262.0], [317.0, 280.0], [276.0, 280.0]], ('10.95', 0.99774169921875)], [[[161.0, 298.0], [241.0, 298.0], [241.0, 315.0], [161.0, 315.0]], ('Sub Total', 0.9498035907745361)], [[[279.0, 297.0], [320.0, 297.0], [320.0, 314.0], [279.0, 314.0]], ('18.45', 0.9951874613761902)], [[[223.0, 314.0], [259.0, 318.0], [257.0, 337.0], [221.0, 333.0]], ('Tax:', 0.9646027088165283)], [[[286.0, 315.0], [322.0, 315.0], [322.0, 333.0], [286.0, 333.0]], ('1.71', 0.9910197257995605)], [[[162.0, 334.0], [241.0, 334.0], [241.0, 347.0], [162.0, 347.0]], ('Sub Total', 0.9212465286254883)], [[[283.0, 334.0], [324.0, 334.0], [324.0, 347.0], [283.0, 347.0]], ('20.16', 0.9875278472900391)]]	{"store_name": "BJ'SSANRAFAELI", "store_addr": "", "telephone": "", "date": "11/08/14", "time": "5:26p", "subtotal": "18.45", "tax": "1.71", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BJSFRITOSNACHOS", "item_value": "7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BHDBLDELUXEBURGER", "item_value": "10.95", "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	[[[[59.0, 27.0], [376.0, 27.0], [376.0, 83.0], [59.0, 83.0]], ('Walmart', 0.9991679191589355)], [[[58.0, 94.0], [382.0, 96.0], [382.0, 121.0], [58.0, 120.0]], ('Save money.Live better.', 0.975116491317749)], [[[162.0, 132.0], [392.0, 132.0], [392.0, 148.0], [162.0, 148.0]], ('815267-3041', 0.9661625027656555)], [[[131.0, 153.0], [406.0, 153.0], [406.0, 170.0], [131.0, 170.0]], ('MANAGER CARMEN GARCIA', 0.9633816480636597)], [[[172.0, 175.0], [380.0, 175.0], [380.0, 192.0], [172.0, 192.0]], ('12690SROUTE59', 0.9654799103736877)], [[[145.0, 194.0], [391.0, 194.0], [391.0, 211.0], [145.0, 211.0]], ('PLAINFIELD IL 60585', 0.9459865093231201)], [[[28.0, 238.0], [445.0, 238.0], [445.0, 254.0], [28.0, 254.0]], ('PRODUCT SERIAL#U63548G5P192775', 0.9678412079811096)], [[[28.0, 258.0], [195.0, 258.0], [195.0, 275.0], [28.0, 275.0]], ('SEWING MACH', 0.9554572701454163)], [[[192.0, 258.0], [354.0, 258.0], [354.0, 275.0], [192.0, 275.0]], ('001250263548', 0.9971345067024231)], [[[432.0, 258.0], [526.0, 258.0], [526.0, 276.0], [432.0, 276.0]], ('79.97X', 0.9686000943183899)], [[[28.0, 280.0], [354.0, 280.0], [354.0, 296.0], [28.0, 296.0]], ('2YR RPLPLAN 060538822046', 0.9523439407348633)], [[[444.0, 277.0], [526.0, 280.0], [525.0, 299.0], [444.0, 296.0]], ('7.00N', 0.9859803318977356)], [[[262.0, 300.0], [367.0, 300.0], [367.0, 318.0], [262.0, 318.0]], ('SUBTOTAL', 0.998307466506958)], [[[432.0, 300.0], [497.0, 300.0], [497.0, 318.0], [432.0, 318.0]], ('86.97', 0.9960498809814453)], [[[145.0, 321.0], [211.0, 321.0], [211.0, 338.0], [145.0, 338.0]], ('TAX1', 0.995268702507019)], [[[249.0, 321.0], [343.0, 321.0], [343.0, 338.0], [249.0, 338.0]], ('8.500%', 0.9885488152503967)], [[[444.0, 321.0], [497.0, 321.0], [497.0, 338.0], [444.0, 338.0]], ('6.80', 0.9887187480926514)], [[[300.0, 338.0], [369.0, 341.0], [368.0, 360.0], [299.0, 357.0]], ('TOTAL', 0.9989264607429504)], [[[432.0, 342.0], [497.0, 342.0], [497.0, 360.0], [432.0, 360.0]], ('93.77', 0.998388946056366)], [[[235.0, 364.0], [367.0, 364.0], [367.0, 381.0], [235.0, 381.0]], ('DISCV TEND', 0.9619560241699219)], [[[432.0, 363.0], [497.0, 363.0], [497.0, 381.0], [432.0, 381.0]], ('93.77', 0.9929920434951782)], [[[26.0, 404.0], [397.0, 401.0], [397.0, 421.0], [26.0, 424.0]], ('Discover Credit *', 0.9303193688392639)], [[[406.0, 405.0], [460.0, 405.0], [460.0, 423.0], [406.0, 423.0]], ('6867', 0.9979231953620911)], [[[480.0, 405.0], [524.0, 405.0], [524.0, 423.0], [480.0, 423.0]], ('I4', 0.9951766729354858)], [[[28.0, 427.0], [252.0, 427.0], [252.0, 443.0], [28.0, 443.0]], ('APPROVAL#00436P', 0.9702510833740234)], [[[27.0, 447.0], [263.0, 447.0], [263.0, 464.0], [27.0, 464.0]], ('REF#600500617734', 0.9837895631790161)], [[[28.0, 489.0], [262.0, 489.0], [262.0, 506.0], [28.0, 506.0]], ('AID A0000001523010', 0.9689791202545166)], [[[27.0, 510.0], [276.0, 508.0], [276.0, 526.0], [27.0, 527.0]], ('TC E68E0E39116E95D0', 0.9686622619628906)], [[[30.0, 531.0], [288.0, 531.0], [288.0, 548.0], [30.0, 548.0]], ('TERMINAL#282799192', 0.9845015406608582)], [[[30.0, 552.0], [277.0, 552.0], [277.0, 570.0], [30.0, 570.0]], ('Signature Verified', 0.9802778959274292)], [[[134.0, 594.0], [237.0, 594.0], [237.0, 612.0], [134.0, 612.0]], ('01/04/16', 0.9951095581054688)], [[[300.0, 594.0], [406.0, 594.0], [406.0, 612.0], [300.0, 612.0]], ('19:28:05', 0.9485931396484375)], [[[237.0, 616.0], [369.0, 616.0], [369.0, 632.0], [237.0, 632.0]], ('CHANGE DUE', 0.9492351412773132)], [[[444.0, 614.0], [498.0, 614.0], [498.0, 633.0], [444.0, 633.0]], ('0.00', 0.9871577620506287)], [[[84.0, 668.0], [105.0, 668.0], [105.0, 692.0], [84.0, 692.0]], ('#', 0.8734449148178101)], [[[96.0, 668.0], [257.0, 668.0], [257.0, 693.0], [96.0, 693.0]], ('ITEMS', 0.9652272462844849)], [[[245.0, 668.0], [428.0, 668.0], [428.0, 693.0], [245.0, 693.0]], ('SOLD 2', 0.9486435055732727)], [[[82.0, 720.0], [445.0, 720.0], [445.0, 737.0], [82.0, 737.0]], ('TC#13622446484897176514', 0.9814013838768005)], [[[40.0, 811.0], [507.0, 812.0], [507.0, 830.0], [40.0, 829.0]], ('Low Prices You Can Trust. Every Day.', 0.9413082599639893)], [[[134.0, 833.0], [237.0, 833.0], [237.0, 851.0], [134.0, 851.0]], ('01/04/16', 0.9951386451721191)], [[[299.0, 834.0], [407.0, 834.0], [407.0, 851.0], [299.0, 851.0]], ('19:28:05', 0.9333726167678833)], [[[144.0, 870.0], [393.0, 871.0], [393.0, 893.0], [143.0, 891.0]], ('*CUSTOMER COPY*', 0.9450004696846008)], [[[130.0, 936.0], [408.0, 937.0], [408.0, 955.0], [130.0, 954.0]], ('You have purchased an', 0.9672473073005676)], [[[28.0, 958.0], [511.0, 958.0], [511.0, 974.0], [28.0, 974.0]], ('Extended Protection plan administered', 0.9573663473129272)], [[[25.0, 977.0], [482.0, 978.0], [482.0, 1000.0], [25.0, 999.0]], ('by N.E.W. Please keep your receipt;', 0.9442782998085022)], [[[28.0, 1001.0], [508.0, 1001.0], [508.0, 1019.0], [28.0, 1019.0]], ('it is required to file a claim and/or', 0.9451672434806824)], [[[28.0, 1023.0], [459.0, 1023.0], [459.0, 1041.0], [28.0, 1041.0]], ('register your plan.. Full program', 0.9364916682243347)], [[[27.0, 1040.0], [472.0, 1041.0], [472.0, 1063.0], [27.0, 1061.0]], ('terms and conditions are available', 0.9901447296142578)], [[[28.0, 1064.0], [484.0, 1064.0], [484.0, 1082.0], [28.0, 1082.0]], ('at checkout registers in this store', 0.9620048403739929)], [[[169.0, 1084.0], [343.0, 1084.0], [343.0, 1102.0], [169.0, 1102.0]], ('and online at', 0.9697830677032471)], [[[27.0, 1106.0], [481.0, 1105.0], [481.0, 1123.0], [27.0, 1124.0]], ('www.productassist.com/walmart; Call', 0.9727437496185303)], [[[28.0, 1128.0], [420.0, 1128.0], [420.0, 1144.0], [28.0, 1144.0]], ('1-877-968-6391tofileaclaim', 0.9738425612449646)], [[[26.0, 1146.0], [420.0, 1147.0], [420.0, 1169.0], [26.0, 1167.0]], ('and/or ask questions regarding', 0.9731454253196716)], [[[168.0, 1170.0], [350.0, 1167.0], [350.0, 1185.0], [168.0, 1188.0]], ('plan coverage.', 0.9848328232765198)]]	{"store_name": "Walmart", "store_addr": "12690SROUTE59 PLAINFIELDIL60585", "telephone": "(815)267-3041", "date": "01/04/16 01/04/16", "time": "19:28:05 19:28:05", "subtotal": "86.97", "tax": "6.80", "total": "93.77 93.77", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SEWINGMACH001250263548", "item_value": "79.97", "item_quantity": "1"}, {"item_key": "", "item_name": "2YRRPLPLAN060538822046", "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	[[[[176.0, 155.0], [1734.0, 232.0], [1720.0, 516.0], [162.0, 439.0]], ('Walgreens', 0.9244394302368164)], [[[504.0, 546.0], [1464.0, 551.0], [1464.0, 637.0], [504.0, 632.0]], ('#O7875 1800 TAMIAMI TRI', 0.9007455706596375)], [[[504.0, 632.0], [1524.0, 637.0], [1524.0, 727.0], [504.0, 722.0]], ('PORT CHARLOTTEFL33948', 0.971166729927063)], [[[760.0, 731.0], [1276.0, 731.0], [1276.0, 817.0], [760.0, 817.0]], ('941-625-4847', 0.9876432418823242)], [[[120.0, 903.0], [260.0, 903.0], [260.0, 989.0], [120.0, 989.0]], ('880', 0.995961606502533)], [[[546.0, 907.0], [747.0, 907.0], [747.0, 989.0], [546.0, 989.0]], ('0308', 0.9965350031852722)], [[[836.0, 908.0], [1851.0, 890.0], [1853.0, 976.0], [838.0, 994.0]], ('004109/09/2015 2:24PM', 0.9500258564949036)], [[[721.0, 924.0], [871.0, 924.0], [871.0, 972.0], [721.0, 972.0]], ('JOM', 0.5453993678092957)], [[[119.0, 1071.0], [1536.0, 1053.0], [1537.0, 1156.0], [120.0, 1174.0]], ('PLAN-B ONE-STEP EMERGENCY CNTRCPT', 0.9584181308746338)], [[[1437.0, 1145.0], [1661.0, 1134.0], [1666.0, 1228.0], [1442.0, 1240.0]], ('49.99', 0.9945605993270874)], [[[320.0, 1170.0], [785.0, 1165.0], [786.0, 1243.0], [321.0, 1247.0]], ('35128516288', 0.9974140524864197)], [[[319.0, 1252.0], [1078.0, 1233.0], [1081.0, 1324.0], [322.0, 1342.0]], ('RETURN VALUE 49.99', 0.9429023265838623)], [[[1437.0, 1395.0], [1662.0, 1383.0], [1666.0, 1474.0], [1441.0, 1485.0]], ('49.99', 0.9929095506668091)], [[[329.0, 1415.0], [546.0, 1415.0], [546.0, 1509.0], [329.0, 1509.0]], ('TOTAL', 0.9977626800537109)], [[[1437.0, 1476.0], [1661.0, 1465.0], [1666.0, 1560.0], [1442.0, 1571.0]], ('60.00', 0.9928158521652222)], [[[323.0, 1502.0], [526.0, 1491.0], [531.0, 1585.0], [328.0, 1597.0]], ('CASH', 0.9866390228271484)], [[[1441.0, 1558.0], [1653.0, 1547.0], [1658.0, 1641.0], [1446.0, 1653.0]], ('10.01', 0.9933367967605591)], [[[337.0, 1582.0], [602.0, 1582.0], [602.0, 1677.0], [337.0, 1677.0]], ('CHANGE', 0.9973399639129639)], [[[187.0, 1828.0], [1616.0, 1792.0], [1618.0, 1883.0], [189.0, 1919.0]], ('THANK YOU FOR SHOPPNG AT WALGREENS', 0.9440432190895081)], [[[205.0, 1974.0], [1387.0, 1965.0], [1387.0, 2038.0], [205.0, 2047.0]], ('GET MORE WITH BALANCE REWARDS', 0.9505995512008667)], [[[205.0, 2034.0], [1554.0, 2030.0], [1554.0, 2116.0], [205.0, 2120.0]], ('REDEEM POINTS FOR SOMETHING EXTRA', 0.9414913058280945)], [[[222.0, 2111.0], [1584.0, 2111.0], [1584.0, 2184.0], [222.0, 2184.0]], ('IN A FUTURE PURCHASE. RESTRICTIONS', 0.9325392246246338)], [[[243.0, 2171.0], [1477.0, 2176.0], [1477.0, 2249.0], [243.0, 2245.0]], ('OPLYFOR TERMS AND CONDITIONS', 0.9316765069961548)], [[[346.0, 2253.0], [1323.0, 2253.0], [1323.0, 2313.0], [346.0, 2313.0]], ('IT WALGREENS.COM/BALANCE.', 0.93658447265625)], [[[849.0, 2718.0], [948.0, 2718.0], [948.0, 2812.0], [849.0, 2812.0]], ('Te', 0.5076149106025696)], [[[874.0, 2798.0], [1090.0, 2814.0], [1085.0, 2878.0], [869.0, 2862.0]], ('balance', 0.9245060682296753)], [[[794.0, 2851.0], [1340.0, 2851.0], [1340.0, 2971.0], [794.0, 2971.0]], ('rewards', 0.9792184829711914)], [[[1470.0, 3025.0], [1633.0, 3007.0], [1642.0, 3090.0], [1478.0, 3107.0]], ('5000', 0.9995808601379395)], [[[234.0, 3054.0], [980.0, 3035.0], [983.0, 3138.0], [236.0, 3157.0]], ('POINTS TO$5 REWARD', 0.9568094611167908)], [[[917.0, 3794.0], [1120.0, 3783.0], [1124.0, 3848.0], [920.0, 3858.0]], ('Visit', 0.9956185221672058)]]	{"store_name": "", "store_addr": "#078751800TAMIAMITRL PORTCHARLOTTE,FL33948", "telephone": "941-625-4847", "date": "09/09/2015", "time": "2:24PM", "subtotal": "", "tax": "", "total": "49.99", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PLAN-BONE-STEPEMERGENCYCNTRCPT", "item_value": "49.99", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "49.99", "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	[[[[983.0, 0.0], [1228.0, 0.0], [1228.0, 27.0], [983.0, 27.0]], ('0-11000-/91tL', 0.711210310459137)], [[[692.0, 44.0], [1191.0, 72.0], [1188.0, 113.0], [689.0, 84.0]], ("McDona1d's Restaurant #1871", 0.9654514789581299)], [[[783.0, 95.0], [1099.0, 113.0], [1097.0, 149.0], [781.0, 131.0]], ('341 S VERMONT AVE', 0.9310534000396729)], [[[706.0, 136.0], [1172.0, 157.0], [1171.0, 193.0], [704.0, 172.0]], ('LOS ANGELES,CA 90020-1806', 0.9317624568939209)], [[[759.0, 180.0], [1124.0, 195.0], [1122.0, 234.0], [758.0, 219.0]], ('TEL#2133836934', 0.9950812458992004)], [[[559.0, 252.0], [665.0, 256.0], [664.0, 295.0], [558.0, 291.0]], ('KS#4', 0.9962525367736816)], [[[949.0, 272.0], [1315.0, 287.0], [1314.0, 321.0], [948.0, 306.0]], ('03/30/201802:16PM', 0.9789700508117676)], [[[556.0, 293.0], [660.0, 297.0], [659.0, 334.0], [555.0, 330.0]], ('Side2', 0.9959756731987)], [[[1140.0, 318.0], [1302.0, 326.0], [1300.0, 367.0], [1138.0, 359.0]], ('Order 56', 0.9583802223205566)], [[[551.0, 372.0], [1329.0, 411.0], [1327.0, 457.0], [549.0, 418.0]], ('FREE 6pc Chicken McNuggets with any pur', 0.9635963439941406)], [[[590.0, 420.0], [851.0, 435.0], [848.0, 476.0], [588.0, 461.0]], ('16 McNuggets', 0.9673367142677307)], [[[1130.0, 450.0], [1172.0, 450.0], [1172.0, 490.0], [1130.0, 490.0]], ('1P', 0.9943487048149109)], [[[1247.0, 456.0], [1332.0, 456.0], [1332.0, 496.0], [1247.0, 496.0]], ('0.00', 0.9974313974380493)], [[[623.0, 466.0], [849.0, 481.0], [847.0, 522.0], [621.0, 507.0]], ('1 S&S Sauce', 0.935436487197876)], [[[538.0, 512.0], [704.0, 520.0], [702.0, 563.0], [536.0, 555.0]], ('1 M Coke', 0.9600188732147217)], [[[1255.0, 543.0], [1344.0, 547.0], [1342.0, 592.0], [1253.0, 587.0]], ('1.00', 0.9969319105148315)], [[[527.0, 609.0], [695.0, 613.0], [694.0, 659.0], [526.0, 655.0]], ('Subtotal', 0.995338499546051)], [[[1263.0, 640.0], [1357.0, 640.0], [1357.0, 685.0], [1263.0, 685.0]], ('1.00', 0.9970781803131104)], [[[564.0, 660.0], [636.0, 665.0], [633.0, 713.0], [561.0, 708.0]], ('Tax', 0.9962504506111145)], [[[1265.0, 690.0], [1360.0, 690.0], [1360.0, 734.0], [1265.0, 734.0]], ('0.10', 0.997322678565979)], [[[521.0, 713.0], [819.0, 721.0], [818.0, 767.0], [520.0, 759.0]], ('Take-Out Total', 0.9794480204582214)], [[[1273.0, 741.0], [1363.0, 741.0], [1363.0, 787.0], [1273.0, 787.0]], ('1.10', 0.9888683557510376)], [[[508.0, 817.0], [687.0, 825.0], [685.0, 873.0], [506.0, 865.0]], ('Cashless', 0.9957812428474426)], [[[1280.0, 841.0], [1372.0, 845.0], [1370.0, 898.0], [1278.0, 893.0]], ('1.10', 0.9963411688804626)], [[[503.0, 869.0], [643.0, 879.0], [639.0, 934.0], [499.0, 924.0]], ('Change', 0.9981043338775635)], [[[1282.0, 899.0], [1376.0, 903.0], [1373.0, 956.0], [1279.0, 951.0]], ('0.00', 0.9962036609649658)], [[[495.0, 984.0], [789.0, 999.0], [787.0, 1052.0], [493.0, 1036.0]], ('Total Savings', 0.9605075120925903)], [[[1283.0, 1012.0], [1382.0, 1012.0], [1382.0, 1070.0], [1283.0, 1070.0]], ('2.99', 0.9976341724395752)], [[[480.0, 1105.0], [737.0, 1114.0], [735.0, 1167.0], [478.0, 1158.0]], ('MER#471641', 0.998099148273468)], [[[482.0, 1170.0], [733.0, 1170.0], [733.0, 1198.0], [482.0, 1198.0]], ('CARD TSCUED', 0.7317186594009399)]]	{"store_name": "McDonalb'sRestaurant#1871", "store_addr": "341SVERMONTAVE LOSANGELES,CA90020-1806", "telephone": "TEL#2133836934", "date": "03/30/2018", "time": "02:16PM", "subtotal": "1.00", "tax": "0.10", "total": "1.10 1.10", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "FREE6pcChickenMcNuggetswithanypur", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "McNuggets", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "S&SSauce", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MCoke", "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	[[[[276.0, 114.0], [352.0, 114.0], [352.0, 128.0], [276.0, 128.0]], ('XYZ STORE', 0.9602431058883667)], [[[253.0, 128.0], [376.0, 128.0], [376.0, 138.0], [253.0, 138.0]], ('LOREM IPSUM DOLOR SIT AMET', 0.9134449362754822)], [[[216.0, 160.0], [271.0, 160.0], [271.0, 174.0], [216.0, 174.0]], ('*', 0.7425543665885925)], [[[264.0, 158.0], [413.0, 158.0], [413.0, 175.0], [264.0, 175.0]], ('RECEIPT*', 0.9789681434631348)], [[[194.0, 183.0], [245.0, 185.0], [244.0, 199.0], [193.0, 196.0]], ('CASHIER#1', 0.9244607090950012)], [[[335.0, 185.0], [435.0, 185.0], [435.0, 198.0], [335.0, 198.0]], ('02/02/201903:30PM', 0.9615854620933533)], [[[194.0, 216.0], [227.0, 216.0], [227.0, 230.0], [194.0, 230.0]], ('ITEM1', 0.9621362686157227)], [[[195.0, 231.0], [226.0, 231.0], [226.0, 242.0], [195.0, 242.0]], ('ITEM2', 0.9768245816230774)], [[[402.0, 230.0], [435.0, 230.0], [435.0, 244.0], [402.0, 244.0]], ('$10.00', 0.9749450087547302)], [[[201.0, 244.0], [365.0, 244.0], [365.0, 256.0], [201.0, 256.0]], ('DISC58%SPECIALPROMO$20.00', 0.8841770887374878)], [[[195.0, 255.0], [227.0, 257.0], [226.0, 269.0], [194.0, 267.0]], ('ITEM3', 0.9301941990852356)], [[[402.0, 256.0], [435.0, 256.0], [435.0, 270.0], [402.0, 270.0]], ('$50.00', 0.9018406271934509)], [[[202.0, 270.0], [369.0, 270.0], [369.0, 283.0], [202.0, 283.0]], ('DISC50%SPECIALPROHO$100.00', 0.8624375462532043)], [[[401.0, 283.0], [435.0, 283.0], [435.0, 296.0], [401.0, 296.0]], ('$30.00', 0.8649323582649231)], [[[203.0, 297.0], [256.0, 297.0], [256.0, 307.0], [203.0, 307.0]], ('x2$15.9', 0.8355634808540344)], [[[193.0, 308.0], [228.0, 310.0], [227.0, 324.0], [192.0, 321.0]], ('ITEM5', 0.8360936045646667)], [[[204.0, 325.0], [257.0, 325.0], [257.0, 335.0], [204.0, 335.0]], ('3$10.00', 0.8230119347572327)], [[[195.0, 336.0], [227.0, 336.0], [227.0, 350.0], [195.0, 350.0]], ('ITEM6', 0.8827440142631531)], [[[203.0, 350.0], [365.0, 350.0], [365.0, 363.0], [203.0, 363.0]], ('DISC.50%SELECTEDITEM$40.00', 0.9060388803482056)], [[[195.0, 374.0], [235.0, 374.0], [235.0, 387.0], [195.0, 387.0]], ('SUBTOTAL', 0.993048369884491)], [[[398.0, 374.0], [435.0, 374.0], [435.0, 387.0], [398.0, 387.0]], ('$168.00', 0.8959952592849731)], [[[195.0, 388.0], [261.0, 388.0], [261.0, 398.0], [195.0, 398.0]], ('LOYALTY MEMBER', 0.9503440260887146)], [[[194.0, 408.0], [253.0, 410.0], [252.0, 424.0], [193.0, 421.0]], ('TOTAL AMOUNT', 0.9400160312652588)], [[[399.0, 410.0], [435.0, 410.0], [435.0, 424.0], [399.0, 424.0]], ('$155.00', 0.953743577003479)], [[[195.0, 422.0], [218.0, 425.0], [216.0, 437.0], [193.0, 434.0]], ('CASH', 0.996280312538147)], [[[398.0, 421.0], [436.0, 424.0], [435.0, 438.0], [397.0, 435.0]], ('$160.00', 0.9318782091140747)], [[[195.0, 438.0], [225.0, 438.0], [225.0, 449.0], [195.0, 449.0]], ('CHANGE', 0.9972679018974304)], [[[247.0, 463.0], [380.0, 463.0], [380.0, 475.0], [247.0, 475.0]], ('THANK YOU FOR SHOPPING!', 0.9307231903076172)], [[[224.0, 579.0], [401.0, 579.0], [401.0, 600.0], [224.0, 600.0]], ('designed by@ freepik', 0.9296429753303528)]]	{"store_name": "XYZSTORE", "store_addr": "", "telephone": "", "date": "02/02/2019", "time": "03:38PM", "subtotal": "$168.00", "tax": "", "total": "$155.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ITEM1", "item_value": "$20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ITEM2", "item_value": "$18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ITEM3", "item_value": "$58.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ITEM4", "item_value": "$38.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ITEM5", "item_value": "$38.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ITEM6", "item_value": "$28.00", "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	[[[[459.0, 54.0], [525.0, 30.0], [532.0, 48.0], [466.0, 72.0]], ('186WWO', 0.5849179625511169)], [[[221.0, 85.0], [314.0, 93.0], [312.0, 112.0], [219.0, 104.0]], ('to win $1000', 0.903487503528595)], [[[483.0, 96.0], [535.0, 74.0], [542.0, 90.0], [490.0, 112.0]], ('W.ooore', 0.6155718564987183)], [[[221.0, 113.0], [263.0, 117.0], [261.0, 133.0], [219.0, 129.0]], ('ID', 0.9865590333938599)], [[[280.0, 121.0], [364.0, 121.0], [364.0, 135.0], [280.0, 135.0]], ('7JYY2JW0K3Y', 0.9521175026893616)], [[[480.0, 112.0], [539.0, 94.0], [545.0, 114.0], [487.0, 132.0]], ('ebnea tlin', 0.5197048187255859)], [[[507.0, 159.0], [541.0, 148.0], [546.0, 162.0], [512.0, 173.0]], ('iboa', 0.63466477394104)], [[[253.0, 197.0], [439.0, 195.0], [439.0, 234.0], [254.0, 237.0]], ('Walmart', 0.9929608106613159)], [[[256.0, 240.0], [437.0, 236.0], [437.0, 254.0], [256.0, 257.0]], ('Save money.Live better.', 0.9542179107666016)], [[[294.0, 271.0], [437.0, 265.0], [438.0, 283.0], [295.0, 289.0]], ('714799-0020', 0.9435204863548279)], [[[281.0, 283.0], [444.0, 278.0], [444.0, 297.0], [282.0, 302.0]], ('MANAGER YVONNE THOMAS', 0.9525504112243652)], [[[510.0, 276.0], [550.0, 266.0], [555.0, 286.0], [515.0, 296.0]], ('Tispgl', 0.5804737210273743)], [[[301.0, 297.0], [431.0, 294.0], [432.0, 311.0], [302.0, 315.0]], ('13331 BEACH BLVD', 0.9064143896102905)], [[[516.0, 295.0], [551.0, 290.0], [554.0, 306.0], [518.0, 311.0]], ('odliw', 0.8549715876579285)], [[[288.0, 312.0], [445.0, 306.0], [446.0, 324.0], [289.0, 329.0]], ('WESTMINSTER CA 92683', 0.9505459070205688)], [[[525.0, 317.0], [551.0, 309.0], [556.0, 324.0], [530.0, 332.0]], ('WW', 0.5692774057388306)], [[[225.0, 338.0], [287.0, 343.0], [286.0, 358.0], [223.0, 353.0]], ('DIABETES', 0.9956725835800171)], [[[321.0, 339.0], [423.0, 339.0], [423.0, 353.0], [321.0, 353.0]], ('068113131172H', 0.9947551488876343)], [[[457.0, 333.0], [516.0, 328.0], [517.0, 345.0], [458.0, 350.0]], ('12.58N', 0.9853623509407043)], [[[359.0, 352.0], [422.0, 352.0], [422.0, 367.0], [359.0, 367.0]], ('SUBTOTAL', 0.9964308738708496)], [[[458.0, 343.0], [502.0, 343.0], [502.0, 366.0], [458.0, 366.0]], ('12.68', 0.9341601133346558)], [[[529.0, 344.0], [554.0, 340.0], [557.0, 356.0], [532.0, 361.0]], ('we', 0.9680321216583252)], [[[384.0, 366.0], [422.0, 366.0], [422.0, 380.0], [384.0, 380.0]], ('TOTAL', 0.9983583688735962)], [[[461.0, 360.0], [484.0, 360.0], [484.0, 378.0], [461.0, 378.0]], ('12.', 0.985114336013794)], [[[474.0, 360.0], [498.0, 355.0], [502.0, 373.0], [478.0, 378.0]], ('.58', 0.9013673663139343)], [[[524.0, 360.0], [555.0, 360.0], [555.0, 380.0], [524.0, 380.0]], ('oito', 0.7012311816215515)], [[[343.0, 378.0], [425.0, 376.0], [425.0, 395.0], [343.0, 397.0]], ('VISA TEND', 0.9354865550994873)], [[[461.0, 371.0], [503.0, 371.0], [503.0, 391.0], [461.0, 391.0]], ('12.68', 0.9196240305900574)], [[[526.0, 383.0], [555.0, 380.0], [557.0, 397.0], [528.0, 400.0]], ('at10', 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