Scriberr
Self-hosted transcription server with an API, for a household or a small team.
Scriberr is an MIT-licensed, offline transcription application built for self-hosters: you run it on your own server, upload audio, and it transcribes with NVIDIA Parakeet, Canary or Whisper models and word-level timing. Because it is a server rather than a desktop app, several people and devices can share one install, and it exposes an API for automation. It is the right shape if transcription is a service in your infrastructure rather than something on one laptop — with a maintenance caveat worth reading before you commit.
What it does well
- +Runs entirely on infrastructure you control, with no third-party cloud in the path
- +Modern model choice — NVIDIA Parakeet and Canary as well as Whisper — with word-level timing
- +One install serves several people and devices, which a desktop app cannot do
- +Has an API, so transcription can be wired into other tools you run
Where it falls short
- −Development was openly paused for much of 2026 while the maintainer changed jobs and moved; the last tagged release is v1.2.0 from December 2025, though commits have resumed (repository last pushed 2026-09-20)
- −The documentation links published on its own site (scriberr.app/docs) returned 404 when we checked on 2026-09-25, so setup currently means reading the repository
- −A single-maintainer project, as the maintainer states plainly himself
- −It transcribes uploaded audio rather than sitting in your meetings — no live meeting capture and no action items
- −Self-hosting is real work: a machine, storage, updates, and enough CPU or GPU to be worth using
Scriberr as an alternative to
Where Scriberr shows up in our comparisons, and how it ranked.
Scriberr head-to-head
Straight comparisons against the tools people weigh it against.