This project converts PDF documents into podcast episodes using AI for dialogue generation and text-to-speech. It targets users who want to repurpose written content into an audio format, offering a simple way to create podcast-like audio from PDFs.

How It Works

The tool processes PDF content, feeding it to Google's Gemini LLM to generate natural, podcast-suitable dialogue. This AI-generated script is then converted into audio using OpenAI's text-to-speech models, producing an MP3 output. This approach leverages advanced AI for content summarization and natural language generation, aiming for high-quality audio output.

Quick Start & Requirements

• Install dependencies: uv sync
• Run application: python main.py
• Prerequisites: OpenAI API key (can be set as OPENAI_API_KEY environment variable or provided via the interface).
• Official Docs: https://github.com/knowsuchagency/pdf-to-podcast

Highlighted Details

• Converts PDF content into podcast dialogue.
• Utilizes Google Gemini for AI-powered dialogue generation.
• Employs OpenAI text-to-speech for high-quality audio.
• Features a user-friendly interface via Gradio.

Maintenance & Community

No specific details on contributors, sponsorships, or community channels are provided in the README.

Licensing & Compatibility

• License: Apache 2.0 License.
• Compatibility: Permissive license suitable for commercial use and integration with closed-source projects.

Limitations & Caveats

The project requires API keys for both Google Gemini and OpenAI, which may incur costs. The quality of the output is dependent on the PDF content and the performance of the underlying AI models.