Slumbr 1.0.0
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Slumbr 1.0.0 — local, offline voice-to-text for Windows
Tap Caps Lock, speak, tap again — your words type into whatever window is focused. Fully on-device: no accounts, no cloud, no telemetry.
Download
| Installer | For | Notes |
|---|---|---|
slumbr-setup-cpu.exe |
Any PC | Runs on every x64 Windows machine (NVIDIA / AMD / Intel / no GPU). CPU-speed. Bundles its models — works offline the moment it's installed. Start here if unsure. |
slumbr-setup-nvidia.exe |
NVIDIA GPU | GPU-accelerated (CUDA). Bundles the CUDA runtime + the live-preview models; downloads the GPU transcription model (~1.5 GB) once on first launch. |
"Windows protected your PC"? Slumbr is open-source and not code-signed yet, so SmartScreen warns on first run — click More info → Run anyway. Or install from source (see the README) for AMD/Intel GPU acceleration.
If a build doesn't match your GPU, Slumbr runs on its built-in CPU engine and points you at the right build — it never leaves you stuck.
Highlights
- One-click installers that work on any PC, plus a from-source path that auto-detects your hardware (NVIDIA CUDA · AMD/Intel DirectML · CPU).
- Offline first run — the CPU build ships its speech models inside the installer, so there's nothing to download before you can dictate. (The NVIDIA build downloads its GPU model once on first launch.)
- Live partials while you speak (Moonshine + Silero VAD + online punctuation) and an accurate final transcribe from your chosen backend.
- Tap-to-toggle hotkey (rebindable), auto-paste at the cursor, and copy-from-History (in-memory only — nothing about your dictations is written to disk).
- Mute other apps while dictating (VB-Cable routing — Discord/Zoom/Teams/OBS/browser calls).
- Resilient startup: if a GPU backend can't load on your machine, Slumbr falls back to the CPU engine instead of failing.
- 100% offline at runtime — after the one-time setup, nothing leaves your machine.
Requirements
Windows 10/11 (64-bit). GPU optional — the CPU build runs anywhere. Full details in the README.
Full changelog: see CHANGELOG.md.