Podcastfy is an open-source Python package that transforms multi-modal content (text, images) into engaging, multi-lingual audio conversations using GenAI. Input content includes websites, PDFs, youtube videos as well as images. Unlike UI-based tools focused primarily on note-taking or research synthesis (e.g. NotebookLM), Podcastfy focuses on the programmatic and bespoke generation of engaging, conversational transcripts and audio from a multitude of multi-modal sources enabling customization and scale.

Features

  • Generate conversational content from multiple-sources and formats (images, websites, YouTube, and PDFs)
  • Customize transcript and audio generation (e.g. style, language, structure, length)
  • Create podcasts from pre-existing or edited transcripts
  • Support for advanced text-to-speech models (OpenAI, ElevenLabs and Edge)
  • Support for running local llms for transcript generation (increased privacy and control)
  • Seamless CLI and Python package integration for automated workflows
  • Multi-language support for global content creation (experimental!)

Project Samples

Project Activity

See All Activity >

Categories

Podcast

License

MIT License

Follow Podcastfy.ai

Podcastfy.ai Web Site

Other Useful Business Software
Managed Cybersecurity Platform Built for MSPs Icon
Managed Cybersecurity Platform Built for MSPs

Discover the cyber platform that secures and insures SMEs

In a world that lives and breathes all things digital, every business is at risk. Cybersecurity has become a major problem for small and growing businesses due to limited budgets, resources, time, and training. Hackers are leveraging these vulnerabilities, and most of the existing cybersecurity solutions on the market are too cumbersome, too complicated, and far too costly.
Learn More
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Podcastfy.ai!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Podcast Software

Registered

2024-10-15