Audiobookshelf is a Free and Open-source Self-hosted Audiobook and Podcast Server

Audiobookshelf is a Free and Open-source Self-hosted Audiobook and Podcast Server

Table of Content

Audiobookshelf is a free, open-source, self-hosted audiobook and podcast server with Android and iOS apps, supporting all audio formats.

However, It places significant importance on directory structure and folder names.

Screenshot

Features

  • Fully open-source, including the android & iOS app (in beta)
  • Stream all audio formats on the fly
  • Search and add podcasts to download episodes w/ auto-download
  • Multi-user support w/ custom permissions
  • Keeps progress per user and syncs across devices
  • Auto-detects library updates, no need to re-scan
  • Upload books and podcasts w/ bulk upload drag and drop folders
  • Backup your metadata + automated daily backups
  • Progressive Web App (PWA)
  • Chromecast support on the web app and android app
  • Fetch metadata and cover art from several sources
  • Chapter editor and chapter lookup (using Audnexus API)
  • Merge your audio files into a single m4b
  • Embed metadata and cover image into your audio files (using Tone)
  • Basic ebook support and ereader
    • Epub, pdf, cbr, cbz
    • Send ebook to device (i.e. Kindle)
  • Open RSS feeds for podcasts and audiobooks

License

GPL-3.0 license

Resources & Downloads

GitHub - advplyr/audiobookshelf: Self-hosted audiobook and podcast server
Self-hosted audiobook and podcast server. Contribute to advplyr/audiobookshelf development by creating an account on GitHub.
audiobookshelf
Self-hosted audiobook and podcast server







Open-source Apps

9,500+

Medical Apps

500+

Lists

450+

Dev. Resources

900+

Read more

Bias in Healthcare AI: How Open-Source Collaboration Can Build Fairer Algorithms for Better Patient Care

Bias in Healthcare AI: How Open-Source Collaboration Can Build Fairer Algorithms for Better Patient Care

The integration of artificial intelligence (AI), particularly large language models (LLMs) and machine learning algorithms, into healthcare has transformed the industry dramatically. These technologies enhance various aspects of patient care, from diagnostics and treatment recommendations to continuous patient monitoring. However, the application of AI in healthcare is not without challenges.