superwhisper

In plain words

Superwhisper is a voice-to-text application for macOS that converts speech to written text with high accuracy using AI. It allows users to write emails, messages, and notes by speaking instead of typing, processing audio locally on the device without requiring an internet connection. The tool is designed for anyone who wants to capture text faster than traditional typing.

written from the facts on this page · September 2026

From the sources

Want to write 3 times faster? On average, people can type 50 words a minute and can say 150 words a minute! Write emails, send messages and take notes at super-human speeds. Audio is locally processed on your device, no WiFi needed.

AI powered voice to text for macOS, Windows, iOS, and Android. Dictate in any app with offline and cloud speech recognition, 100+ languages, and custom AI modes. SOC 2 Type II certified. HIPAA compliant.

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  superwhisper for iOS2024 · superwhisper.com · ▲326

  Extremely accurate, AI powered voice-to-text

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  superwhisper – AI powered offline voice to text for macOS2023 · superwhisper.com · ▲43

  Hey HN, I built superwhisper out of frustration with the native dictation capabilities of macOS. Inaccurate, required manual punctuation, didnt activate in some contexts or would have audio capture issues. I wanted a replacement that worked offline, had cross language support, was configurable and worked in any application. Under the hood the app is using whisper.cpp, which runs really well on the Apple Silicon chips. You can use the base and standard size models for free, larger models sizes and languages other than english are paid. Let me know what you think! For context, I launched this…

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  MacWhisper2023 · goodsnooze.gumroad.com · ▲123

  High quality text transcription with OpenAI's whisper on Mac

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  HyperWhisperOct 2025 · hyperwhisper.com · ▲8

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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…

• OO
  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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