GoWhisper
Cross-platform, privacy-first audio transcription app
GoWhisper launched on August 19, 2023 with 150 votes, #320 of 4,347 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 3 years on.
What it does
Seamless transcription with GoWhisper – the Ultimate cross-platform audio transcription app. Convert speech to text with precision, securing your data. Unlimited offline transcription, YouTube link transcribing, voice recording, and many more.
GoWhisper turns speech into text entirely on your own computer. 100% local, private, and offline — no cloud, no subscriptions. Fast, accurate transcription powered by Whisper, on Mac and Windows.
Unlimited. Offline. Pay once. Turn speech into text right on your own machine — no cloud, no subscriptions, no limits. Everything runs locally on your computer — no uploads, no accounts, no waiting on the cloud. Auto-detect or choose from 99 languages. Larger models give higher accuracy — your choice. Drop in wav, mp3, m4a, mp4, mov, or mkv — or record straight from your mic. Save your transcript as SRT, TXT, VTT, or CSV — whatever fits your workflow. Transcribe interviews other audio recordings for analysis and study. Transcribe your episodes to create blog posts or captions for their audience. Transcribe your video content for accessibility or SEO purposes. Transcribe interviews or press…from gowhisper.io
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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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