DocuMind AI

DocuMind AI is a powerful, offline-first document analysis suite that leverages advanced AI and OCR technologies to extract insights, summarize content, and process documents directly on your local machine.

Built with a modern PyQt6 interface and powered by local quantitative models (via llama-cpp-python), DocuMind AI ensures your data stays private while delivering robust analysis capabilities. This application is the result of focused development on combining user-friendly design with deep learning capabilities.

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🚀 Key Features

• Local AI Power: Runs Large Language Models (LLMs) locally (e.g., Llama 3.2 GGUF models) for complete privacy and offline functionality. No API keys needed!
• Intelligent OCR: Integrated Tesseract OCR engine accurately extracts text from scanned PDFs and images.
• Advanced Analytics: Utilizes Spacy for Natural Language Processing (NLP) to understand context and structure.
• Multi-Format Support: Seamlessly handles:
  • PDFs (Scanned & Digital)
  • Images (JPG, PNG)
  • Text Files (TXT)
• Rich Extraction:
  • Automatically extracts and saves images from PDFs.
  • Detects and processes tables within documents.
• Hardware Acceleration: Smart detection of NVIDIA CUDA GPUs for accelerated AI inference, with automatic fallback to optimized CPU processing.
• User-Centric GUI:
  • Drag-and-drop file interface.
  • Real-time progress tracking with detailed logs.
  • Adjustable parameters for AI Creativity and OCR Precision.
  • Dark-themed, responsive design.

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🛠️ Installation & Setup

Prerequisites

Ensure you have the following installed:

• Python 3.10+
• Tesseract OCR:
  • Windows: Download and install from UB-Mannheim/tesseract. Ensure the installation path is added to your system Environment Variables.
  • Linux: sudo apt install tesseract-ocr
  • macOS: brew install tesseract

Step-by-Step Guide

1. Clone the Repository

<<<<<<< HEAD git clone https://github.com/Protik1810/DocuMind-AI.git

git clone https://github.com/yourusername/DocuMind-AI.git

b2d9d095e5041ceb1e60a27eea127ee3d0dc8d5f cd DocuMind-AI ```

2. Set Up Virtual Environment (Recommended)

   python -m venv .venv
   # Windows
   .venv\Scripts\activate
   # Linux/Mac
   source .venv/bin/activate

3. Install Dependencies

   pip install -r requirements.txt

4. Download Spacy Model Required for NLP features:

   python -m spacy download en_core_web_sm

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🖥️ Usage

1. Launch the Application

   python main.py

2. First Run Setup

   • On launch, the application checks for models in the models/ directory.
   • If no model is found, use the built-in Download Model button to fetch a compatible GGUF model (e.g., Llama 3.2).

3. Analyzing Documents

   • Select File: Drag & drop or browse to select your PDF, Image, or Text file.
   • Configure:
     • Adjust OCR DPI for scan quality vs. speed.
     • Set AI Creativity for generated summaries.
   • Start: Click "Start Analysis" and watch the progress dial.

4. View Results

   • AI Summary: Read the generated insights.
   • Raw Text: View the full extracted text.
   • Extracted Images: Access images pulled from the document.
   • Output Folder: All results are saved in the output/ directory.

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📦 Building from Source / Executable

To package DocuMind AI as a standalone executable:

1. Install PyInstaller

   pip install pyinstaller

2. Build the App Use the included spec file for a configured build:

   pyinstaller documind.spec

   The executable will be available in the dist/ folder.

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🤝 Contributing

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

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📜 License

This project is licensed under the GNU General Public License v3 (GPL-3.0). See the LICENSE file for details.

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Developed by Protik Das