Rowfill helps extract, analyze, and process data from complex documents, images, PDFs and more with advanced AI capabilities.

• Advanced OCR & Processing: Extract text, tables, and handwriting from any document with high precision
• Auto-schema Generation: Automatically detect and adapt to document structures
• Custom Actions: Create tailored workflows with automated task processing

• Local LLM Support: Supports Local LLMs like Llama, Mistral also supports OpenAI vision models
• Sync with your company data: Clone sensitive data while maintaining privacy
• Open Source: Paresta is a AGPLv3 licensed open source project

1. Run the docker compose file
2. Configure the environment variables (Refer to mockenv file)
3. Start extracting data from your documents!

Visit our documentation for:

• Detailed integration guides
• API reference
• Best practices
• Example implementations
• Privacy controls configuration

We love contributions! If you’d like to contribute:

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

This project is licensed under the AGPLV3 License – see the LICENSE file for details.

Note: This project is a work in progress and is not yet ready for production use. We are actively working on it and will update this README as we make progress.