Ink&Insight

A Flask web application that analyzes and compares PDF documents using Google Cloud Vision, Mathpix APIs, and BERT-based semantic analysis to detect similarities in text content, writing style, and semantic flow.

Features

• PDF document comparison and analysis
• Text and handwriting similarity detection
• Semantic flow analysis using NLTK and BERT embeddings
• Writing style consistency checking
• Detailed PDF report generation
• Interactive web interface
• Real-time results
• API integration (Google Cloud Vision & Mathpix)

Prerequisites

• Python 3.8+
• Google Cloud Vision API key
• Mathpix API credentials
• poppler-utils for PDF processing
• CUDA-compatible GPU (optional, for faster semantic analysis)

Quick Start

1. Clone and setup:

   git clone https://github.com/mavericksxx/ink-and-insight.git
   cd ink-and-insight
   python -m venv .venv
   source .venv/bin/activate  # Windows: .venv\Scripts\activate
   pip install -r requirements.txt
   python setup.py  # Downloads required NLTK data

2. Configure environment:

   cp .env.example .env
   # Edit .env with your API keys:
   # MATHPIX_APP_ID=your-id
   # MATHPIX_APP_KEY=your-key
   # GOOGLE_CLOUD_API_KEY=your-key

3. Run application:

   # Development
   python run.py
   
   # Production
   ./run.sh

Usage

1. Access the web interface at http://localhost:5001
2. Upload two PDF documents
3. Adjust text/handwriting weight using the slider
4. Click "Compare PDFs"
5. View results including:
   • Overall similarity score
   • Semantic flow analysis
   • Writing style variations
   • Text consistency checks
6. Download detailed report

Project Structure

/
├── app/
│ ├── similarity/ # Analysis modules
│ ├── utils/ # PDF processing
│ ├── static/ # Frontend assets
│ └── templates/ # HTML templates
├── uploads/ # Temporary storage
├── reports/ # Generated reports
└── config.py # Configuration

API Testing

python test_apis.py