OWhisper: A Customizable Speech-to-Text Tool for Local and Cloud Deployment
By
yujonglee
A bagel you'd recommend to a friend without hedging.
Summary
OWhisper is a tool similar to Ollama but designed for Speech-to-Text (STT) applications, both real-time and batch. It originated from user feedback during the development of Hyprnote, where users wanted the ability to integrate custom STT endpoints, akin to openai-compatible LLM endpoints. OWhisper serves two primary use cases: locally hosting lightweight models for prototyping or personal use, and deploying larger or cloud-hosted models on custom infrastructure. The tool offers CLI for the first use case and Proxy for the second.
Key quotes
· 3 pulledOWhisper 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: Quickly serving a lightweight model locally for prototyping or personal use. Deploying larger models or connecting to other cloud-hosted models on your own infrastructure.
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