Paper-to-Podcast 🎤
Overview
Paper-to-Podcast is a tool designed to convert academic research papers into engaging podcast formats. It simulates a three-person discussion, allowing listeners to grasp complex information in an entertaining manner.
Key Features
- Three-Person Format: Engaging dialogues featuring a Host, Learner, and Expert personas for a comprehensive understanding.
- Cost-Effective: Uses OpenAI's API for podcast generation, estimated at approximately $0.16 for a 9-minute episode from a 19-page paper.
- User-Friendly: Easy to set up and use for anyone with basic Python knowledge. Just place the paper in PDF format and run the script.
- Sample Podcasts: Access examples in the
./sample_podcastsdirectory to see the application in action.
Benefits
- Perfect for podcast enthusiasts who prefer auditory learning.
- Makes academic content more accessible and enjoyable.
- Encourages deeper engagement with research materials.
Highlights
- Explore plans for optimization and alternative self-hosted implementations to enhance functionality.
- Open to contributions from developers and enthusiasts to improve and expand the project.
