DocOCR.AI - Intelligent Document Analysis

DocOCR.AI is a powerful web application that leverages AI to analyze images and documents. Built with Next.js and cutting-edge AI technologies, it offers features like object detection, text recognition, and content description.

Features

• Image upload and analysis
• Object detection in images
• Text recognition (OCR)
• Image content description
• User-friendly interface with dark/light mode
• Usage limit of 5 analyses per 24 hours
• PDF download of generated reports
• Improved mobile layout for better responsiveness
• Example image for initial user testing
• Progressive Web App (PWA) support for all devices (iOS, Android, etc. )

Getting Started

To run DocOCR.AI locally:

1. Clone the repository:

   git clone https://github.com/yourusername/doc-ocr.git
   cd doc-ocr.ai

2. Install dependencies:

   npm install

3. Set up environment variables: Create a .env.local file in the root directory and add your API keys and other configuration details.

4. Run the development server:

   npm run dev

5. Open http://localhost:3000 in your browser to see the application.

Technologies Used

• Next.js - React framework for production
• Tailwind CSS - For styling
• Framer Motion - For animations
• Vercel - For deployment
• html2pdf.js - For PDF generation

New Features

• PDF Download: Users can now download their analysis results as a PDF report.
• Mobile-Optimized Layout: The application's interface has been improved for better usability on mobile devices.
• Example Image: A sample image is provided for users to test the application's features immediately upon arrival.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Thanks to Vercel for the Geist font and hosting platform.
• Inspired by the growing need for intelligent document analysis tools.

Contact

For any queries, please reach out to Linkedin.