---
title: Ocr
emoji: 👀
colorFrom: blue
colorTo: pink
sdk: streamlit
sdk_version: 1.38.0
app_file: app.py
pinned: false
---

Check out the configuration reference at https://huggingface.co./docs/hub/spaces-config-reference

## Libraries Required

streamlit
torch
transformers
Pillow
easyocr
huggingface_hub
requests
re

## Setup & Installation

- Python 3.8+
- pip (Python package installer)

## Features

 - Dual Language OCR: Supports text extraction from images containing both Hindi and English text.
- Fallback System: Automatically switches to EasyOCR if the GOT model fails.
- Image Upload: Users can upload image files (JPEG, PNG) for OCR processing.
- Text Search: Allows users to search for keywords within the extracted text and highlights the matching results.
- Simple UI: Easy-to-use interface for non-technical users.
- Evaluation Criteria

## Accuracy
- The application extracts text from both Hindi and English sections of the image with high accuracy, using either GOT-OCR2_0 or EasyOCR.

## Functionality

- Handles image uploads (PNG, JPEG).
- Extracts text from images and displays it in plain text format.
- Allows users to search for keywords within the extracted text, with the matching results highlighted.
- User Interface
- A simple, intuitive interface built with Streamlit.
- Provides clear instructions and feedback (e.g., displaying progress during OCR, error handling).
- Responsive layout to fit different screen sizes.

## Deployment
- The application can be deployed online via a cloud service like Streamlit Cloud, Heroku, or any other hosting platform that supports Python applications.

## Clarity
- Well-structured and easy-to-follow code.
- Clear comments and logical flow for each function.
- User-friendly interface with concise instructions for end-users.


## Completeness
- All functionalities are implemented and operational.
- The application works as expected for Hindi and English OCR and includes keyword search.
- Prerequisites


```pip install streamlit torch transformers Pillow easyocr huggingface_hub requests
```

```git clone https://github.com/your-username/got-ocr-app.git
cd got-ocr-app

streamlit run app.py

```