vibe

Also look at Vibe: It even supports speaker differentiation/recognition and is open source on mac/windows/linux; https://github.com/thewh1teagle/vibe

Earlier today I discovered Vibe: https://github.com/thewh1teagle/vibe Local, using WhisperX. Precompiled binaries available. I'm hoping to find and try a local-first version of an nvidia/canary like (like https://huggingface.co/nvidia/canary-qwen-2.5b) since it's almost twice as fast as Whisper with even lower word-error-rate

https://github.com/thewh1teagle/vibe Only for speech to text though.

I recently tried Vibe (https://github.com/thewh1teagle/vibe) from a recording of a meeting taken on one side. It was able to identify the speakers. As Speaker 1, 2, etc. But still useful to see.

I use whisperfile[1] directly. The whisper-large-v3 model seems good with non-English transcription, which is my main use-case. I am also eyeing whisperX[2], because I want to play some more with speaker diarization. Your use-case seems to be batch transcription, so I'd suggest you go ahead and just use whisperfile, it should work well on an M4 mini, and it also has an HTTP API if you just start it without arguments. If you want more interactivity, I have been using Vibe[3] as an open-source replacement of SuperWhisper[4], but VoiceInk from a sibling comment seems better. Aside: It seems that so many of the mentioned projects use whisper at the core, that it would be interesting to explicitly mark the projects that don't use whisper, so we can have a real fundamental comparison. [1] https://huggingface.co/Mozilla/whisperfile [2] https://g