# User guide

How to use Vocalinux day to day. Install first: [INSTALL.md](INSTALL.md).

## Getting started

1. Launch Vocalinux (`vocalinux` or the application menu)
2. Find the microphone icon in the system tray
3. Start dictation with the tray menu or your keyboard shortcut
4. Speak into the focused application; text is injected when an utterance completes
5. Stop by releasing the key (push-to-talk, default on new installs) or with the same shortcut (toggle)

### Start on login

Enable **Start on Login** from the first-run dialog, tray menu, or Settings. Vocalinux writes an XDG autostart entry (`~/.config/autostart/vocalinux.desktop`) and starts as a normal user app (`--start-minimized`). It does not create a systemd service.

Works on common desktop environments (GNOME, KDE, Xfce, Cinnamon, MATE, LXQt). Minimal window-manager sessions may need their own autostart helper.

### Status icons

| Icon state | Meaning |
|------------|---------|
| Gray (off) | Inactive |
| Blue (on) | Listening |
| Orange | Processing speech |

### Dictation formatting

Vocalinux capitalizes the start of dictation and letters after `.`, `!`, or `?`. Each completed utterance leaves a trailing space so the next session does not glue onto the previous sentence.

### Dictating into terminals

When Vocalinux injects through the clipboard (the usual Wayland / ydotool path), it sends **Ctrl+V** in ordinary text fields and **Ctrl+Shift+V** in terminal emulator windows. Auto-detect works on X11 and on Hyprland, Sway, and niri. On GNOME or KDE Wayland, set **Settings → Dictation → Clipboard Paste Shortcut** to **Ctrl+Shift+V**.

On non-US layouts such as German Neo, that chord uses the key that types **v** on the active layout (not physical KEY_V). Nested terminal panels inside an IDE are often invisible to window-class detection. If paste lands as a literal `^V` or does nothing, open **Settings → Dictation → Clipboard Paste Shortcut** and choose **Ctrl+Shift+V**.

## Shortcuts

Configure under **Settings → Shortcuts**:

| Mode | Behavior |
|------|----------|
| **Push-to-talk** (default on new installs) | Hold Right Alt (Option on Mac-layout keyboards) while speaking; release to stop |
| **Toggle** | Double-tap the configured shortcut key to start/stop |

Existing configs keep their saved shortcut. Left/right modifier keys and custom modifier+key combos (for example `Alt+R`) are supported.

## Voice commands

Optional spoken commands for punctuation and editing (can be disabled in Settings).
English phrases always work. With a non-English recognition language, matching
punctuation and line-break phrases in that language are also recognized
(Italian *virgola* / *punto*, French *virgule* / *point*, and similar).

| Command | Action |
|---------|--------|
| "new line" / "new paragraph" | Line break |
| "period" / "full stop" / "dot" | `.` |
| "comma" | `,` |
| "question mark" | `?` |
| "exclamation point" / "exclamation mark" | `!` |
| "semicolon" | `;` |
| "colon" | `:` |
| "delete that" / "scratch that" | Delete last sentence |
| "capitalize" / "uppercase" | Capitalize next word |
| "all caps" | Next word in ALL CAPS |

Editing and formatting action phrases (`delete that`, `undo`, `capitalize`, and similar)
are currently English-only.

## Engines and models

Open **Settings → Speech Model**. The page starts with a simple setup (language and speed/accuracy). Expand **Advanced** for engine, model size, and specialization. Sidebar search (Ctrl+F) works across pages.

### Engines

| Engine | Best for | GPU | Footprint |
|--------|----------|-----|-----------|
| **whisper.cpp** (default) | Most users | Vulkan (AMD, Intel, NVIDIA) | ~74MB default model |
| **Whisper** (OpenAI) | PyTorch/CUDA workflows | NVIDIA/CUDA | Large (PyTorch stack) |
| **Faster Whisper** | CPU Whisper (CTranslate2 / INT8) | Optional CUDA | Similar model sizes to Whisper |
| **VOSK** | Low RAM / older machines | CPU | ~40MB |
| **Parakeet** | CPU dictation; 25 European languages | CPU | ~639MB v3-european |
| **Remote API** | Offload to a server | N/A (server-side) | Opt-in; see [HTTP_REMOTE.md](HTTP_REMOTE.md) |

Parakeet runs NVIDIA NeMo ASR models through sherpa-onnx. The default bundle is **v3-european** (25 European languages). **v2-english** is English-only. Parakeet ignores the catalog language picker (language is treated as auto).

### Language

Pick the language you dictate in from **Language**, or leave it on auto-detect.

If you work in more than one language and switch keyboard layouts to do it, turn
on **Follow keyboard layout** instead. Vocalinux then reads your active layout at
the start of every dictation and uses the matching language, so switching layout
switches dictation language with it. The Language picker greys out while this is
on and shows what your current layout resolves to; turning it off pins that
language.

Available for whisper.cpp, Whisper, Faster Whisper, and Remote API. VOSK loads a
separate model per language, so following a layout would mean a model reload on
the hotkey; Parakeet does not use the language picker at all. Active-layout
detection uses GNOME's input-source settings; on other desktops it falls back to
the configured primary layout.

### Model size (whisper.cpp / Whisper)

| Size | Approx. size | Tradeoff |
|------|--------------|----------|
| tiny | ~74MB | Fastest; real-time friendly |
| base | ~141MB | Balance of speed and accuracy |
| small | ~465MB | Better accuracy |
| medium | ~1.5GB | High accuracy |
| large | ~3.0GB | Best accuracy; heavier |

For whisper.cpp, also pick a **Specialization**: standard multilingual, English-only, quantized (lower memory), Turbo, or legacy large. English-only specializations limit the language selector to English. Exact IDs (for example `medium.en-q5_0`, `large-v3-turbo`) work with `--model`.

### Removing unused models

If leftover files are on disk that are not the model currently selected, **Unused downloads** appears under the model info card. Expand it to delete leftovers one at a time. Confirming removes those files from `~/.local/share/vocalinux`. Packaged system-wide VOSK models are left alone.

### GPU

whisper.cpp prefers Vulkan when the bundled pywhispercpp libraries include it, then CUDA, then CPU. Host tools such as `vulkaninfo` only describe the machine. The engine follows the libraries actually loaded. On multi-GPU machines a discrete Vulkan device is preferred; override under **Settings → Performance → Vulkan GPU**. Check logs with `vocalinux --debug`.

Pip wheels of pywhispercpp are often CUDA builds. In that case Vocalinux uses CUDA device 0. `install.sh` rebuilds pywhispercpp with Vulkan or CUDA when it can.

### Auto-pause and keep-alive

Under Settings:

- **Auto-pause apps**: unload the model while listed apps run
- **Model keep-alive**: unload after idle timeout to free GPU/CPU

## Tips for better recognition

1. Use a decent microphone and reduce background noise when you can
2. Speak clearly at a natural pace
3. Prefer `tiny`/`base` for snappy dictation; larger models when accuracy matters more than latency
4. English-only or quantized specializations help when they match your use case
5. Confirm Vulkan/CUDA in debug logs if transcription is slower than expected

## CLI

```bash
vocalinux --help
vocalinux --version
vocalinux --debug
vocalinux --engine whisper_cpp
vocalinux --engine faster_whisper
vocalinux --engine parakeet
vocalinux --model medium.en-q5_0
vocalinux --wayland
vocalinux --start-minimized
```

## Troubleshooting

```bash
vocalinux --debug
```

See [TROUBLESHOOTING.md](TROUBLESHOOTING.md) for tray, audio, injection, and model issues. Distro notes: [DISTRO_COMPATIBILITY.md](DISTRO_COMPATIBILITY.md). Updates: [UPDATE.md](UPDATE.md). Help channels: [SUPPORT.md](../SUPPORT.md).