Tdarr icon
Tdarr icon

Tdarr

Tdarr is a self hosted web-app for automating media library transcode management and making sure your content is in your preferred codecs. Designed to work alongside Sonarr/Radarr and built with the aim of modularisation, parallelisation and scalability, each library you add has...

Tdarr screenshot 1

Cost / License

  • Freemium
  • Proprietary

Platforms

  • Mac
  • Windows
  • Linux
  • Self-Hosted
  • Docker
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Features

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  1.  Media Transcoding
  2.  Music Library
  3.  Video library
  4.  Video analytics
  5.  Media library

 Tags

  • video-transcoder
  • codecs
  • audio-analytics
  • codec
  • ffmpeg
  • handbrake
  • transcoding
  • video-codecs
  • media-transcoder

Tdarr News & Activities

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Tdarr information

  • Developed by

    GB flagHaveAGitGat
  • Licensing

    Proprietary and Freemium product.
  • Pricing

    free version with limited functionality.
  • Alternatives

    3 alternatives listed
  • Supported Languages

    • English

AlternativeTo Categories

Audio & MusicVideo & Movies
Tdarr was added to AlternativeTo by Paul on and this page was last updated .
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What is Tdarr?

Tdarr is a self hosted web-app for automating media library transcode management and making sure your content is in your preferred codecs. Designed to work alongside Sonarr/Radarr and built with the aim of modularisation, parallelisation and scalability, each library you add has its own transcode settings, filters and schedule. Workers can be fired up and closed down as necessary, and are split into 3 types - 'general', 'transcode' and 'health check'. Worker limits can be managed by the scheduler as well as manually. For a desktop application with similar functionality please see HBBatchBeast.

• Use/create Tdarr Plugins for infinite control on how your files are processed: https://github.com/HaveAGitGat/Tdarr_Plugins • Audio and video library management • 7 day, 24 hour scheduler • Folder watcher • Worker stall detector • Load balancing between libraries/drives • Use HandBrake or FFmpeg • Tested on a 180,000 file dummy library with 60 workers • Search for files based on hundreds of properties • Expanding stats page