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AI · August 14, 2025

OO

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…

OWhisper – Ollama for realtime speech-to-text launched on August 14, 2025 with 289 votes, #109 of 8,530 launches that month and more than 99% of that year's launches.

Visit docs.hyprnote.com ↗Alternativestop 1% of August 2025

In plain words

OWhisper is a tool for running speech-to-text locally on a device in real time. Built by the Hyprnote team, it addresses the lack of practical tooling for downloading and running Whisper models. The tool provides a command-line interface for setting up on-device transcription and aims to support custom speech-to-text endpoints for the Hyprnote desktop app, allowing users to integrate their own STT services alongside compatible LLM endpoints.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

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…

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