AIGrok

AIGrok is an advanced document analysis tool that uses AI to process, analyze, and extract information from documents.

Features

• 📄 Process multiple document formats (PDF, TXT, etc.)
• 🤖 Advanced AI-powered analysis with OpenAI and Ollama support
• 🔍 Smart content extraction with OCR capabilities
• 💾 Result caching for performance
• 🛠️ Extensible provider system
• 📊 Comprehensive reporting
• 📝 Structured output support
• 🔄 Automatic model discovery
• 📈 Code coverage tracking

Quick Start

1. Install AIGrok:

   pip install aigrok
   

2. Set up your configuration:

   aigrok config init
   

3. Process a document:

   aigrok process document.pdf
   

Documentation

For detailed documentation, please see the docs directory:

• CLI Reference - Command-line interface guide
• API Documentation - API reference
• Configuration - Configuration guide
• Deployment - Deployment instructions
• Architecture - System architecture
• Contributing - Contribution guidelines

Requirements

• Python 3.9+ (including 3.12)
• One of:
  • Ollama with vision models installed
  • OpenAI API key for GPT-4 Vision
• 4GB RAM minimum
• Internet connection for API access

Installation

From PyPI

pip install aigrok

From Source

git clone https://github.com/yourusername/aigrok.git
cd aigrok
pip install -e .

Basic Usage

from aigrok import process_document

# Process a document
result = process_document("document.pdf")
print(result.text)

# Process with custom prompt
result = process_document(
    "document.pdf",
    prompt="Extract main topics",
    model="llama2-vision"
)

Contributing

We welcome contributions! Please see our Contributing Guide for details.

License

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

Support

• 📚 Documentation
• 💬 Discussions
• 🐛 Issue Tracker

Acknowledgments

• Thanks to all contributors
• Built with Ollama
• Inspired by the need for better document analysis tools
• 90% of this project was written by AI using Cursor or Windsurf with Anthropic's Claude.