OWhisper can be thought of as something like Ollama but for Speech-to-Text(both real-time and batch).
This came from our experience while building Hyprnote, where users consistently requested bringing a custom STT endpoint, just like plugging in an openai-compatible LLM endpoint. OWhisper is intended for 2 use cases:
  1. Quickly serving a lightweight model locally for prototyping or personal use.
  2. Deploying larger models or connecting to other cloud-hosted models on your own infrastructure.

Start with CLI

For (1) use-case.

Start with Proxy

For (2) use-case.

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