podcastfy  by souzatharsis

Open-source API creates multilingual audio conversations from multimodal content

Created 11 months ago
5,419 stars

Top 9.3% on SourcePulse

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Project Summary

Podcastfy is an open-source Python package that transforms multimodal content into engaging, multilingual audio conversations using GenAI. It serves content creators, educators, and researchers by providing a programmatic alternative to closed-source tools, enabling customized and scalable audio content generation from diverse sources like websites, PDFs, images, and YouTube videos.

How It Works

Podcastfy leverages GenAI to synthesize information from various input formats into conversational audio. It supports multiple LLMs for transcript generation and integrates with advanced text-to-speech models, offering customization for style, language, and voices. The system can generate both short (2-5 minute) and longform (30+ minute) podcasts, with options for local LLM deployment for enhanced privacy.

Quick Start & Requirements

  • Install: pip install podcastfy
  • Prerequisites: Python 3.11+, ffmpeg (for audio processing). API keys for LLMs and TTS services are required.
  • Resources: A Colab notebook is available for quick experimentation.
  • Links: Python Package, CLI, Web App Demo

Highlighted Details

  • Supports input from websites, PDFs, images, YouTube videos, and user-provided topics.
  • Offers multi-speaker TTS capabilities.
  • Integrates with over 100 LLM models (OpenAI, Anthropic, Google) and various TTS providers (OpenAI, Google, ElevenLabs, Microsoft Edge).
  • Enables local LLM usage for transcript generation.

Maintenance & Community

  • Active development with recent releases (v0.4.0+) introducing new features.
  • Community feedback is encouraged via GitHub issues.
  • Documentation is available.

Licensing & Compatibility

  • Licensed under Apache 2.0.
  • Permissive license suitable for commercial use and integration into closed-source projects.

Limitations & Caveats

The project is actively developed, with features like a FastAPI web app noted as "Beta." While it supports numerous LLMs and TTS models, optimal performance and specific features may depend on the chosen backend services and their respective API limitations.

Health Check
Last Commit

1 month ago

Responsiveness

1 day

Pull Requests (30d)
4
Issues (30d)
0
Star History
212 stars in the last 30 days

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