OCR Claim Form Project This project extracts text content from scanned PDF forms (e.g., insurance claim forms) using:

Python to convert PDF to image(s)

React + Tesseract.js and Python to OCR the images

Source project:

 ```bash src/
├── App.jsx
├── App.css
├── pdf2img.py
├── output_images/
├── src/
│   ├── assets/
│   ├── components/
│   │   ├── HeaderComponents/
│   │   ├── footer.jsx
│   │   ├── loading.jsx
│   │   ├── orcResult.jsx
│   │   ├── uploadPDF.jsx
│   │   └── tesseract.jsx
├── README.md ``` 

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REQUIREMENTS:

Python (for PDF → image conversion) Python 3.10+ pip packages: pdf2image External: Poppler (required for pdf2image on Windows)

React (for OCR processing) Node.js v16 or v18 npm or yarn tesseract.js (client-side OCR engine) Mui

Installation:

1. pip install pdf2image
2. download poppler https://github.com/oschwartz10612/poppler-windows/releases/ and copy the PATH to bin folder and paste to "POPPLER_PATH" like: POPPLER_PATH = r"C:\Users<your_name>\poppler-24.08.0\Library\bin"
3. npm install
4. npm start

to convert PDF to images, run command: 5. python pdf2img.py the code will convert file "claimForm.pdf" to images at output_images folder then go on website and upload all that images to convert to text and can download the file .txt of image after converted.