PDF Text Cleaner for Text-to-Speech

A web application using Google's Gemini API to clean and optimize PDF text for text-to-speech applications.

Features

• AI-powered text cleaning (fixes line breaks, removes headers/footers, corrects spacing)
• Drag-and-drop PDF upload
• Download cleaned PDF
• Modern web interface

Prerequisites

• Python 3.8+
• Gemini API key

Quick Start

1. Clone/download the repository
2. Create virtual environment: python -m venv venv
3. Activate: venv\Scripts\activate (Windows) or source venv/bin/activate (Mac/Linux)
4. Install: pip install -r requirements.txt
5. Create .env and add your Gemini API key: GEMINI_API_KEY=your_key_here
6. Run: python app.py
7. Open: http://localhost:5000

How It Works

1. Extract text from PDF (PyPDF2)
2. Clean with Google's Gemini API
3. Generate new PDF (ReportLab)
4. Download cleaned PDF

Troubleshooting

• API key error: Make sure .env file exists with correct GEMINI_API_KEY
• PDF extraction fails: Some scanned PDFs need OCR first
• File upload fails: Check file is valid PDF and under 16MB

Security

• Never commit .env to version control
• Keep your API key secret
• Temporary files are deleted after processing

License

MIT License