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Flathub page: https://flathub.org/en/apps/ink.whis.Whis
GitHub source code: https://github.com/frankdierolf/whis

  • Voice transcription app that support both local & cloud providers
  • Local models: OpenAI Whisper (tiny/small/base/medium version), NVIDIA Parakeet (V2/V3 versions), with option to specify path to model .bin file (if we already download it via other apps like Ramalama/LM Studio)
  • Cloud providers supported: Groq, Mistral, Deepgram, OpenAI, ElevenLabs (the first three provide free access)
  • There's a text cleanup/post-processing feature option for the generated transcription, via OpenAI (cloud)/Mistral (cloud)/Ollama (local)
Screenshot From 2026-01-15 22-38-55 Screenshot From 2026-01-15 22-39-16

Pretty flexible, this can go well with Bluefin's AI principles. After this merged I can add it to my PR for /ai docs too

@dosubot dosubot bot added the size:XS label Jan 19, 2026
@dosubot dosubot bot added area/bluespeed AI/Machine Learning integration kind/enhancement New feature, don't implement without a spec and consensus labels Jan 19, 2026
@dosubot dosubot bot added the lgtm This PR has been approved by a maintainer label Jan 19, 2026
@castrojo castrojo enabled auto-merge January 19, 2026 05:39
@castrojo castrojo added this pull request to the merge queue Jan 19, 2026
Merged via the queue into projectbluefin:main with commit 10ab6a8 Jan 19, 2026
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area/bluespeed AI/Machine Learning integration kind/enhancement New feature, don't implement without a spec and consensus lgtm This PR has been approved by a maintainer

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3 participants