AI Form Extractor

AI Form Extractor is a backend and frontend application designed to extract and process data from forms using advanced AI models. This project demonstrates the integration of OCR, layout detection, and data extraction pipelines.

Features

• OCR Integration: Supports handwritten and printed text recognition.
• Layout Detection: Identifies and processes form layouts.
• REST API: Provides endpoints for form processing.
• Frontend: User-friendly interface for uploading and viewing results.

Installation

Prerequisites

• Python 3.9+
• Node.js 16+
• Docker (optional, for containerized deployment)

Backend Setup

1. Clone the repository:

   git clone https://github.com/your-username/ai-form-extractor.git
   cd ai-form-extractor-backend

2. Create a virtual environment and activate it:

   python -m venv .venv
   .\.venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Run the backend:

   python run_backend.py

Frontend Setup

1. Navigate to the frontend directory:

   cd frontend

2. Install dependencies:

   npm install

3. Run the frontend:

   npm run dev

Usage

1. Start both the backend and frontend.
2. Access the frontend at http://localhost:5173.
3. Upload a form and view the extracted data.

Technologies Used

• Backend: Python, FastAPI, Uvicorn
• Frontend: React, Vite
• AI Models: Hugging Face, YOLO

Contributing

See CONTRIBUTING.md for contribution guidelines.

License

This project is licensed under the MIT License. See LICENSE for details.

Contact

For questions or feedback, please contact [himashasawani@gmail.com].