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.