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Whisper4Windows

Press F9, speak, and paste your words into the app you're using. Dictation for Windows that keeps your audio on your computer.

Role
Personal project, open source (MIT), 2025
Built with
Rust, Tauri, Python, FastAPI, Whisper
The Whisper4Windows recorder at the top of the screen with a blue waveform, over a Google search box that already holds the dictated question.
installer downloads
1,700+
GitHub stars
50+
reported GPU time for 30 seconds of speech
0.5–2 s

I wanted the convenience of SuperWhisper on my Windows machine, so I built a dictation app of my own. It runs Whisper locally after a one-time model download. No account or API key required.

Keeping the recorder responsive

Rust and Tauri handle the shortcut and recording window. A separate Python service runs Whisper, keeping model loading and transcription out of the interface. The model stays loaded between recordings.

Working with different hardware

The app uses an NVIDIA GPU when available and falls back to the CPU otherwise. It can also use a smaller number format when memory is limited. Speed depends on the hardware and model you choose; the project's reported GPU timing is 0.5–2 seconds for a 30-second recording.

The last step is a paste

Typing the result one character at a time was slow and unreliable. The app pastes the completed text through the Windows clipboard instead, with an option to restore your previous clipboard contents.

Whisper4Windows settings for shortcuts, language, recording and clipboard behavior.