TextEvolve - AI Historical Document Digitization Platform

Slogan: Preserving History, Empowering Research | From Ink to Intelligence

Live Application: http://www.textevolve.in

TextEvolve is an advanced AI-driven platform designed to digitize, transcribe, translate, and analyze historical handwritten documents. It leverages a unique Dual OCR approach combined with AI-powered text enhancement and translation features to make historical content accessible and searchable for researchers, students, archivists, and cultural institutions.

Developed by Team Dynamic Dreamers, Kathir College of Engineering, Coimbatore, India.

![TextEvolve Product Screenshot] (Screenshot showing the TextEvolve application interface)

Key Features

• Dual OCR Engine: Combines a custom-trained Machine Learning model (TensorFlow/PyTorch/Keras) with leading commercial OCR APIs (Google Vision, Azure Vision, Amazon Textract) for high accuracy on diverse scripts.
• AI Text Polishing: Utilizes Google Gemini API to automatically correct grammar, spelling, and formatting in the extracted text.
• Multi-Language Translation: Integrates Google Translate API to translate digitized documents into various regional and international languages.
• Interactive Query & Insights: Allows users to ask natural language questions about the document content and receive summaries or specific information.
• Multi-Format Export: Exports digitized documents into editable formats like Word (.docx), PDF, and Plain Text (.txt).
• User Management: [Mention if user accounts/authentication are implemented].
• [Planned] Community Platform: Future feature to allow users to share digitized documents, annotations, and research findings.

Technology Stack

• Frontend: React.js, Vite, Tailwind CSS, Framer Motion
• Backend: Python (Flask), Node.js
• Database: MongoDB (with Prisma ORM)
• Machine Learning: Python, TensorFlow, PyTorch, Keras
• Core APIs:
  • Google Cloud Vision API
  • Microsoft Azure Computer Vision OCR API
  • Amazon Textract API
  • Google Gemini API
  • Google Translate API
• Deployment: Hostinger VPS (KVM 2) or similar Linux VPS.
• Development Tools: Git, GitHub, VSCode, Postman, Docker (optional), etc.

Setup and Installation

Prerequisites:

• Node.js (v18+) and npm/yarn
• Python (v3.9+) and pip
• MongoDB Server (local or cloud instance like MongoDB Atlas)
• Git

Steps:

1. Clone the repository:

   git clone [Your Repository URL for the Main Product]
   cd textevolve-product

2. Backend Setup:

   cd backend
   python -m venv venv         # Create virtual environment
   source venv/bin/activate    # Activate (Linux/macOS)
   # venv\Scripts\activate     # Activate (Windows)
   pip install -r requirements.txt # Install Python dependencies
   # Configure your .env file here with API keys and DB URI
   cd ..

3. Frontend Setup:

   cd frontend
   npm install                 # Install Node.js dependencies
   # Configure any necessary .env file for frontend (e.g., API endpoint URL)
   cd ..

4. Database Setup:

   • Ensure your MongoDB server is running.
   • Configure the MONGODB_URI in the backend .env file.
   • Run any necessary database migrations or seed scripts (if applicable, e.g., using Prisma: npx prisma migrate dev if Prisma is set up with the Node backend, or manage via Python script).

5. [Optional] ML Model Setup:

   • If the custom ML model needs separate setup or pre-trained file downloads, add instructions here.

Running the Project

1. Start Backend Server(s):

   cd backend
   source venv/bin/activate  # Activate venv if not already active
   flask run                 # Or: python app.py (depends on your setup)
   # AND/OR if using Node backend components:
   # node server.js / npm run start:node (depends on your setup)

2. Start Frontend Development Server:

   cd frontend
   npm run dev

   The application should now be accessible, typically with the frontend at http://localhost:5173 communicating with the backend running on its configured port (e.g., 5000 for Flask).

Building for Production

1. Build Frontend:

   cd frontend
   npm run build

   This creates static assets in frontend/dist/.

2. Deploy Backend: Deploy the Python (Flask) / Node.js backend application to your hosting environment (like the Hostinger VPS) using tools like Gunicorn, PM2, or Docker. Ensure environment variables are set correctly in the production environment.

3. Serve Frontend: Configure your web server (e.g., Nginx, Apache) on the VPS to serve the static frontend files from frontend/dist/ and proxy API requests to your running backend server(s).

Folder Structure (Simplified)

textevolve-product/
├── backend/            # Python (Flask) / Node.js code, requirements.txt, .env.example
├── frontend/           # React (Vite) code, package.json
├── ml_models/          # Custom ML model training/inference code (optional)
├── docs/               # Project documentation
├── scripts/            # Utility scripts (e.g., DB seeding)
└── README.md

Team

This project was proudly developed by Team Dynamic Dreamers, a group of passionate students from the [Department of Artificial Intelligence and Data Science] at Kathir College of Engineering, Coimbatore, Tamil Nadu, India (as of April 2025).

Team Members:

• Yuva Nandhini M - Project Lead / AI/ML Developer - LinkedIn / GitHub
• Praveenkumar S - AI/MERN Developer - LinkedIn / GitHub
• Sibi Siddharth S - AI/MERN Developer - LinkedIn / GitHub
• Uma Maheswari P - AI/ML Developer - LinkedIn / GitHub

Under the Guidance of:

• Mrs. Kavitha M - Assistant Professor, Department of Artificial Intelligence and Data Science

Contributing

Contributions are welcome! Please follow standard Git workflow:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/YourFeature).
3. Make your changes.
4. Commit your changes (git commit -m 'Add some feature').
5. Push to the branch (git push origin feature/YourFeature).
6. Open a Pull Request.

License

This project is licensed under the [License Name] License - see the LICENSE.md file for details.

Contact

Project developed by Team Dynamic Dreamers, Kathir College of Engineering, Coimbatore.

• Product Website: http://www.textevolve.in
• Contact Email: textevolve@gmail.com