WhisPaste

What it does

WhisPaste turns OpenAI's Whisper into a real desktop app: press a hotkey, speak, and the transcript is pasted at your cursor - in any app, on Windows, macOS or Linux. Offline by default - whisper.cpp runs locally, audio never leaves your device Free & open source (MIT) - no account, no subscription Broad hardware support - Vulkan, Metal, CPU fallback Built for anyone who wants to write at the speed of speech, privately.

Sprich dort, wo du sonst schreibst. WhisPaste bringt deine Stimme als Text ins Schreibfeld. Lokal auf Windows, macOS mit Apple Silicon und Linux.

Sprechen geht schneller als Tippen. WhisPaste wandelt deine Stimme in Text um und fügt ihn mit eingeschaltetem Auto-Paste in unterstützte Textfelder ein. Du bleibst in der App, in der du gerade schreibst. Die Spracherkennung läuft auf deinem Rechner. Cloud nutzt du nur, wenn du sie auswählst. Ich schicke euch den Entwurf heute Nachmittag. Bitte gebt mir bis Freitag Rückmeldung. Sprich Prompts für dein Vibe Coding, Review-Kommentare oder Commit-Messages. Der Code bleibt dabei im Blick. Formuliere Notizen zu einer Quelle oder einen ersten Absatz in deinem Dokument. Überarbeiten kannst du den Text anschließend dort. Sprich deine Antwort ins E-Mail- oder Chatfeld. Lies sie noch einmal durch und…from whispaste.de

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  Whispering – 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…

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  OpenWhisper – 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…

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  OWhisper – 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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