PDF-to-Video Converter

A powerful Python utility that automatically converts PDF documents into narrated video presentations with synchronized slides and audio.

Overview

This tool takes a PDF document as input and performs the following transformations:

1. Extracts text content from the PDF
2. Uses GPT-4o to generate slide content and voice-over scripts
3. Creates a PowerPoint presentation with bullet points
4. Generates text-to-speech audio narration
5. Combines slide images and audio into a complete video presentation

Perfect for quickly converting documentation, articles, or educational materials into engaging video content without manual editing.

Features

• Automated Content Processing: Extracts and chunks PDF text for optimal processing
• AI-Powered Summarization: Uses OpenAI's GPT-4o to create concise slide bullets and detailed voice-over scripts
• Professional Presentation Generation: Creates structured PowerPoint presentations
• Natural Text-to-Speech: Converts scripts to audio using gTTS (Google Text-to-Speech)
• Complete Video Production: Combines slides and audio into a synchronized video

Requirements

Python Libraries

• PyMuPDF (fitz): For PDF text extraction
• OpenAI: For AI-powered content generation
• gTTS: For text-to-speech conversion
• python-pptx: For PowerPoint generation
• moviepy: For video creation
• pdf2image: For converting slides to images
• pydantic: For data validation
• python-dotenv: For environment variable management

External Dependencies

• LibreOffice: Required for converting PowerPoint to PDF
• Poppler: Required by pdf2image for PDF processing

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/pdf-to-video-converter.git
   cd pdf-to-video-converter
   

2. Install required Python packages:

   pip install PyMuPDF openai gTTS python-pptx moviepy pdf2image pydantic python-dotenv
   

3. Install external dependencies:

   • LibreOffice: https://www.libreoffice.org/download/
   • Poppler:
     • On Ubuntu: sudo apt-get install poppler-utils
     • On macOS: brew install poppler
     • On Windows: Download from http://blog.alivate.com.au/poppler-windows/

4. Create a .env file with your OpenAI configuration:

   ENDPOINT=https://api.openai.com/v1  # Or your custom endpoint
   TOKEN=your_openai_api_key
   

Usage

1. Import the main function and provide a path to your PDF:

from pdf_to_video import main

main("/path/to/your/document.pdf")

2. The script will generate:
   • voice.mp3: The narration audio file
   • presentation.pptx: The PowerPoint presentation
   • final_video.mp4: The complete presentation video

Customization

• Adjust max_chunk_chars in chunk_text() to modify how the PDF content is split
• Modify the prompt in generate_chunk_content() to change how the AI creates slides and scripts
• Update the presentation styling in generate_presentation() for different visual designs

How It Works

1. Text Extraction: The PDF is processed to extract all text content
2. Content Chunking: Text is divided into manageable chunks (default 2500 chars)
3. AI Processing: Each chunk is sent to GPT-4o to generate slide bullet points and voice-over script
4. Audio Generation: The complete script is converted to speech using gTTS
5. Presentation Creation: A PowerPoint presentation is created with the bullet points
6. Slide Conversion: Slides are converted to images via LibreOffice and pdf2image
7. Video Assembly: Slides and audio are combined into the final video using moviepy

Acknowledgments

• This project uses OpenAI's GPT-4o for natural language processing
• Text-to-speech provided by Google's TTS service