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Subarr

Subarr is the coordination, measurement, and quality layer for Whisper subtitle generation, sitting between Bazarr, Sonarr, Radarr, and subgen to decide what gets transcribed, in what order, and whether the result is any good. Its Coverage walk scans your whole library and scores every subtitle gap with a reason: no track, embedded-only, Bazarr-wanted, audio mislabeled, or low quality. Queue a file, a folder, or an entire series from the Library tab and watch it move through probing, transcribing, and write-back on the dashboard. The Review queue plays you the actual dialogue, picked out by voice-activity detection, so you can verify a subtitle really matches the audio language before it lands. It flags files whose default audio track is not the original language and swaps tracks in place, heading off the double-translation trap. A provider leaderboard records which subtitle sources actually deliver for your library, and the Tuning Lab lets you tune Whisper recipes against your own media. Rules and scheduled walks keep the work flowing, with Tautulli now-playing signals boosting whatever you are about to watch. Finished subtitles are written next to your media, and your Plex or Jellyfin library refreshes the moment one lands. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Subarr
Subarr
Subarr
Subarr
Subarr

Benefits

  • Gaps Found Before Viewers Notice
  • The Coverage walk probes your entire library and scores every subtitle gap with a reason chip, so the files most worth transcribing surface first instead of being discovered mid-episode.
  • Wrong-Language Subs Caught Early
  • Calibrated audio-language detection plus a review player that lands on real dialogue let you verify what language a file actually speaks before a mismatched subtitle reaches your library.
  • Subgen Gets A Real Frontend
  • Queue files, folders, or whole series, then reorder, pause, cancel, and requeue the backlog while subarr feeds subgen at a controlled depth instead of flooding it with work.
  • Providers Ranked By Results
  • The leaderboard tracks which subtitle providers actually deliver usable results for your library, so effort and downloads stop going to sources that keep failing you.

Features

  • Coverage Gap Scoring
  • Whole-library walks sort subtitle gaps by score with reason chips: no track, embedded-only, Bazarr-wanted, audio-mislabel, low-score, or unmonitored, with a probe-gate before anything queues.
  • Audio-Language Review Player
  • A verification queue with an audio player whose clips land on actual dialogue via silero voice-activity detection, with multi-track support and inline Whisper language detection.
  • Managed Transcription Queue
  • Processing, queued, lost-on-restart, and recently-done sections with bulk requeue, cancel, and step-wise reorder; a pending backlog feeds subgen at a target depth you set.
  • Whisper Tuning Lab
  • An in-app lab for tuning Whisper transcription recipes against your own media, with calibrated multi-chunk language detection when paired with the patched subarr-subgen image.
  • Provider Success Leaderboard
  • Per-provider success measurement across your Bazarr sources, so you can see which subtitle providers complete, which fail, and where your downloads actually come from.
  • Default-Track Mismatch Fixes
  • Flags files whose default audio is not the original language and swaps tracks in place with mkvpropedit, singly or in bulk, preventing silent double translation.

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