Show HN: OWhisper – Ollama for realtime speech-to-text

Hello everyone. This is Yujong from the Hyprnote team (https://github.com/fastrepl/hyprnote).

We built OWhisper for 2 reasons: (Also outlined in https://docs.hyprnote.com/owhisper/what-is-this)

(1). While working with on-device, realtime speech-to-text, we found there isn't tooling that exists to download / run the model in a practical way.

(2). Also, we got frequent requests to provide a way to plug in custom STT endpoints to the Hyprnote desktop app, just like doing it with OpenAI-compatible LLM endpoints.

The (2) part is still kind of WIP, but we spent some time writing docs so you'll get a good idea of what it will look like if you skim through them.

For (1) - You can try it now. (https://docs.hyprnote.com/owhisper/cli/get-started)

```bash brew tap fastrepl/hyprnote && brew install owhisper owhisper pull whisper-cpp-base-q8-en owhisper run whisper-cpp-base-q8-en ```

If you're tired of Whisper, we also support Moonshine :) Give it a shot (owhisper pull moonshine-onnx-base-q8)

We're here and looking forward to your comments!