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Voice-to-text with push-to-talk for Wayland compositors
| Date | Stars |
|---|---|
| 2026-07-24 | 1011 |
| 2026-07-25 | 1016 |
| 2026-07-28 | 1024 |
| 2026-07-30 | 1027 |
| 2026-08-06 | 1027 |
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# Voxtype [](https://voxtype.io) **[voxtype.io](https://voxtype.io)** Voice-to-text for Linux. 9-11× realtime on your CPU. Local by default. Hold a hotkey (default: ScrollLock) while speaking, release to transcribe and output the text at your cursor position. Voxtype runs Cohere Transcribe (#1 on the Open ASR Leaderboard) faster than realtime on a plain Zen 4 CPU. Parakeet, Whisper, and five more engines if you want them. No cloud, no subscription, no telemetry. ## Features ### Speed and engines - **Cohere Transcribe at 9-11× realtime — on your CPU.** Quantized to 1.5 GB (q4f16). Punctuation, capitalization, and inverse text normalization out of the box. Sits at #1 on the Open ASR Leaderboard. *(New in 0.7.0)* - **Parakeet on AMD and NVIDIA GPUs.** MIGraphX 7.2 for Radeon, separate CUDA 12 and CUDA 13 binaries for every NVIDIA driver generation, Vulkan for Whisper across vendors. *(MIGraphX new in 0.7.0)* - **Text processing built in.** Spoken punctuation (`"comma"` → `,`), per-user replacement tables for common mistranscriptions, and an optional post-processing pipe through any LLM or shell script. Fix domain terms, drop filler words, polish grammar — all without leaving voxtype. - **Dynamic per-engine model loading.** Configure all 7 engines, pay memory only for the active one. Models load on first use and unload when idle. - **Seven transcription engines.** Whisper, Parakeet, Moonshine, SenseVoice, Paraformer, Dolphin, Omnilingual. Switch with `voxtype configure` or one config line. CJK and 1600+ languages covered by the multilingual engines. - **Meeting mode.** Continuous transcription with chunked processing, speaker attribution, and export to Markdown, JSON, SRT, or VTT. ### Native Linux integration - **Hyprland, Niri, Sway, River, GNOME, KDE.** Compositor keybindings everywhere, evdev fallback for X11, Wayland-first typing via wtype with full CJK support. Falls back through dotool → ydotool → clipboard if any layer is unavailable. - **Pauses your music.** Auto-pauses Spotify, Plasma media players, anything that speaks MPRIS the moment you start dictating. Resumes on release. - **Floating waveform OSD.** Matches your swayosd band by default — same vertical position as volume and brightness — so the level meter sits where you already look for system feedback. - **Interactive TUI configure.** `voxtype configure` (also surfaces in Walker / fuzzel / rofi) edits every option in `~/.config/voxtype/config.toml` for you — no hand-editing TOML. Auto-downloads missing models, swaps GPU binaries via pkexec, restarts the daemon when needed. - **Push-to-talk or toggle.** Hold to record, or press once to start/stop. Optional audio cues when recording starts/stops. ### Trust - **Local by default. No cloud. No subscription. No telemetry.** Optional remote Whisper servers when you want them. Your audio stays on your machine until you choose otherwise. - **MIT licensed.** AUR (`voxtype`, `voxtype-bin`, plus `voxtype-bin-rc` for testers who want pre-release builds — see [docs/INSTALL.md](docs/INSTALL.md#arch-linux)), `.deb`, `.rpm`, Homebrew on macOS. Signed release binaries from a reproducible Docker pipeline. ## Quick Start Most users should install a [pre-built package](docs/INSTALL.md). The steps below are for building from source. ```bash # 1. Install build dependencies # Fedora: sudo dnf install rust cargo alsa-lib-devel clang-devel cmake pkgconf # Arch: sudo pacman -S rustup alsa-lib clang cmake pkgconf # Debian/Ubuntu: sudo apt install cargo libasound2-dev libclang-dev cmake pkg-config # 2. Build cargo build --release # 3. Install typing backend (Wayland) # Fedora: sudo dnf install wtype # Arch: sudo pacman -S wtype # Ubuntu: sudo apt install wtype # 4. Download whisper model ./target/release/voxtype setup --download # 5. Add keybinding to your compositor # See "Compositor Keybindings" section below # 6. Run ./target/release/voxtype ``` For the f
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:ed32719ae65cd89f, topic:speech-recognition, topic:whisper, topic:speech-to-text