[solarkraft]

Wait, this is cool.

I just spent last week researching the options (especially for my M1!) and was left wishing for a standard, full-service (live) transcription server for Whisper like OLlama has been for LLMs.

I’m excited to try this out and see your API (there seems to be a standard vaccuum here due to openai not having a real time transcription service, which I find to be a bummer)!

Edit: They seem to emulate the Deepgram API (https://developers.deepgram.com/reference/speech-to-text-api...), which seems like a solid choice. I’d definitely like to see a standard emerging here.

[yujonglee]

Correct. About the deepgram-compatibility: https://docs.hyprnote.com/owhisper/deepgram-compatibility

Let me know how it goes!

[solarkraft]

I haven’t had the time to properly play around with it yet, but digging into the available meta-info reveals that ... there’s not a lot of it.

When I find the time to set it up I’d like to contribute to the documentation to answer the questions I had, but I couldn’t even find information on how to do that (no docs folder in the repo contribution.md, which the AI assistant also points me towards, doesn’t contain information about adding to the docs).

In general I find it a bit distracting that the OWhisper code is inside of the hyprnote repository. For discoverability and “real project” purposes I find that it would probably deserve its own.