Overwhisper
Free, local voice-to-text transcription using OpenAI Whisper
What it does
Local, private voice transcription that lives in your menu bar. Powered by WhisperKit. This one is SIMPLE. Download your model, use a hotkey to start recording anywhere, and hit finish to paste in the audio transcription at your cursor.
Does a similar job
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- OFOpenWhisper – free, local, and private voice-to-text macOS appFeb 2026 · github.com · ▲37
I wanted a voice-to-text app but didn't trust any of the proprietary ones with my privacy. So I decided to see if I could vibe code it with 0 macOS app & Swift experience. It uses a local binary of whisper.cpp (a fast implementation of OpenAI's Whisper voice-to-text model in C++). Github: https://github.com/richardwu/openwhisper I also decided to take this as an opportunity to compare 3 agentic coding harnesses: Cursor w/ Opus 4.6: - Best one-shot UI by far - Didn't get permissioning correct - Had issues making the "Cancel recording" hotkey being turned on all the…
- WOWhispering – Open-source, local-first dictation you can trust2025 · github.com · ▲591
Hey HN! Braden here, creator of Whispering, an open-source speech-to-text app. I really like dictation. For years, I relied on transcription tools that were almost good, but they were all closed-source. Even a lot of them that claimed to be “local” or “on-device” were still black boxes that left me wondering where my audio really went. So I built Whispering. It’s open-source, local-first, and most importantly, transparent with your data. Your data is stored locally on your device, and your audio goes directly from your machine to a local provider (Whisper C++, Speaches, etc.) or your chosen…
- FAFree alternative to Wispr Flow, Superwhisper, and MonologueFeb 2026 · github.com · ▲277
- OOOWhisper – Ollama for realtime speech-to-text2025 · docs.hyprnote.com · ▲289
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…
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