* fix: VOSK-only install and CLI arg handling for low-memory systems Fixes several issues reported by users on low-memory systems (8GB RAM): 1. Install script: Don't auto-install Whisper in non-interactive mode - Previously, running 'curl | bash' would install Whisper by default - Now requires explicit --with-whisper flag to install Whisper - Prevents OOM errors on systems with limited RAM 2. CLI arguments: Command-line flags now properly override saved config - --engine vosk now works even if config file has whisper set - --model flag also properly overrides saved model setting - Checks sys.argv to detect if user explicitly provided arguments 3. Default engine: Changed from 'whisper' to 'vosk' - VOSK works on low-memory systems without OOM issues - Users can still install and use Whisper with --with-whisper flag - Existing configs with 'whisper' engine are still respected Reported issues: - OOM during installation on 8GB RAM system - vocalinux --engine vosk being ignored - Config file not respected when trying to force VOSK * fix: keep whisper as default engine, improve test robustness - Reverted default engine back to 'whisper' for better accuracy - Install script still defaults to VOSK-only install (--with-whisper for Whisper) - CLI args still properly override saved config - Improved test_config_manager tests to handle module caching issues * fix: default to Whisper install, --no-whisper for VOSK-only on low-RAM systems Updated install behavior: - Default (curl|bash): Installs Whisper for best experience - --no-whisper flag: Skips Whisper AND creates config with VOSK as default engine This allows low-RAM users (8GB) to run: curl -fsSL .../install.sh | bash -s -- --no-whisper Which will: 1. Skip installing torch/whisper (avoids OOM) 2. Create ~/.config/vocalinux/config.json with engine='vosk' 3. App will use VOSK by default without needing CLI flags * docs: clarify --no-whisper is for low-RAM systems (8GB or less) Updated README and website to explain that --no-whisper flag: - Is intended for systems with 8GB RAM or less - Avoids out-of-memory errors during installation - Configures VOSK as the default speech recognition engine * feat: add --whisper-cpu flag for CPU-only PyTorch installation New installation option for users without NVIDIA GPU or with limited RAM: Install script changes: - Added --whisper-cpu flag: Installs CPU-only PyTorch (~200MB vs ~2.3GB) - Uses https://download.pytorch.org/whl/cpu index for smaller torch package - Interactive mode now offers 3 options: GPU, CPU-only, or skip Whisper - Updated help text to explain all Whisper installation options Documentation updates: - README: Added --whisper-cpu example with explanation - Website: Added new 'Whisper CPU-only' install option section Installation options summary: - Default (curl|bash): Whisper + GPU/CUDA support (~2.3GB, 5-10 min) - --whisper-cpu: Whisper + CPU-only PyTorch (~200MB, 3-4 min) - --no-whisper: VOSK only, no Whisper (~2-3 min)
8.5 KiB
Vocalinux
Voice-to-text for Linux, finally done right!
A seamless free open-source private voice dictation system for Linux, comparable to the built-in solutions on macOS and Windows.
🎉 Alpha Release!
We're excited to share Vocalinux with the community. Try it out and let us know what you think!
✨ Features
- 🎤 Double-tap Ctrl to start/stop voice dictation
- ⚡ Real-time transcription with minimal latency
- 🌎 Universal compatibility across all Linux applications
- 🔒 Offline operation for privacy and reliability (with VOSK)
- 🤖 Optional Whisper AI support for enhanced accuracy
- 🎨 System tray integration with visual status indicators
- 🔊 Audio feedback for recording status
- ⚙️ Graphical settings dialog for easy configuration
🚀 Quick Install
One-liner Installation (Recommended)
curl -fsSL https://raw.githubusercontent.com/jatinkrmalik/vocalinux/main/install.sh | bash
This will:
- Clone the repository to
~/.local/share/vocalinux-install - Install all system dependencies
- Set up a virtual environment in
~/.local/share/vocalinux/venv - Install both VOSK and Whisper AI speech engines
- Create a symlink at
~/.local/bin/vocalinux - Download the default Whisper tiny speech model (~75MB)
⏱️ Note: Installation takes ~5-10 minutes due to Whisper AI dependencies (PyTorch with CUDA support, ~2.3GB).
Whisper with CPU-only PyTorch (no NVIDIA GPU needed):
curl -fsSL https://raw.githubusercontent.com/jatinkrmalik/vocalinux/main/install.sh | bash -s -- --whisper-cpu
This installs Whisper with CPU-only PyTorch (~200MB instead of ~2.3GB). Works great for systems without NVIDIA GPU.
For low-RAM systems (8GB or less) - VOSK only:
curl -fsSL https://raw.githubusercontent.com/jatinkrmalik/vocalinux/main/install.sh | bash -s -- --no-whisper
This skips Whisper installation entirely and configures VOSK as the default engine.
Alternative: Install from Source
# Clone the repository
git clone https://github.com/jatinkrmalik/vocalinux.git
cd vocalinux
# Run the installer (will prompt for Whisper)
./install.sh
# Or with Whisper support
./install.sh --with-whisper
The installer handles everything: system dependencies, Python environment, speech models, and desktop integration.
After Installation
# If ~/.local/bin is in your PATH (recommended):
vocalinux
# Or activate the virtual environment first:
source ~/.local/bin/activate-vocalinux.sh
vocalinux
# Or run directly:
~/.local/share/vocalinux/venv/bin/vocalinux
Or launch it from your application menu!
Uninstall
# If installed via curl:
curl -fsSL https://raw.githubusercontent.com/jatinkrmalik/vocalinux/main/uninstall.sh | bash
# If installed from source:
./uninstall.sh
📋 Requirements
- OS: Ubuntu 22.04+ (other Linux distros may work)
- Python: 3.8 or newer
- Display: X11 or Wayland
- Hardware: Microphone for voice input
🎙️ Usage
Voice Dictation
- Double-tap Ctrl to start recording
- Speak clearly into your microphone
- Double-tap Ctrl again (or pause speaking) to stop
Voice Commands
| Command | Action |
|---|---|
| "new line" | Inserts a line break |
| "period" / "full stop" | Types a period (.) |
| "comma" | Types a comma (,) |
| "question mark" | Types a question mark (?) |
| "exclamation mark" | Types an exclamation mark (!) |
| "delete that" | Deletes the last sentence |
| "capitalize" | Capitalizes the next word |
Command Line Options
vocalinux --help # Show all options
vocalinux --debug # Enable debug logging
vocalinux --engine whisper # Use Whisper AI engine
vocalinux --model medium # Use medium-sized model
vocalinux --wayland # Force Wayland mode
⚙️ Configuration
Configuration is stored in ~/.config/vocalinux/config.json:
{
"speech_recognition": {
"engine": "vosk",
"model_size": "small",
"vad_sensitivity": 3,
"silence_timeout": 2.0
}
}
You can also configure settings through the graphical Settings dialog (right-click the tray icon).
🔧 Development Setup
# Clone and install in dev mode
git clone https://github.com/jatinkrmalik/vocalinux.git
cd vocalinux
./install.sh --dev
# Activate environment
source venv/bin/activate
# Run tests
pytest
# Run from source with debug
python -m vocalinux.main --debug
📁 Project Structure
vocalinux/
├── src/vocalinux/ # Main application code
│ ├── speech_recognition/ # Speech recognition engines
│ ├── text_injection/ # Text injection (X11/Wayland)
│ ├── ui/ # GTK UI components
│ └── utils/ # Utility functions
├── tests/ # Test suite
├── resources/ # Icons and sounds
├── docs/ # Documentation
└── web/ # Website source
📖 Documentation
- Installation Guide - Detailed installation instructions
- User Guide - Complete user documentation
- Contributing - Development setup and contribution guidelines
🗺️ Roadmap
Custom icon design✅Graphical settings dialog✅Whisper AI support✅- Multi-language support
- Application-specific commands
- Debian/Ubuntu package (.deb)
- Improved Wayland support
- Voice command customization
🤝 Contributing
We welcome contributions! Whether it's bug reports, feature requests, or code contributions, please check out our Contributing Guide.
Quick Links
⭐ Support
If you find Vocalinux useful, please consider:
- ⭐ Starring this repository
- 🐛 Reporting bugs you encounter
- 📖 Improving documentation
- 🔀 Contributing code
📜 License
This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.
Made with ❤️ for the Linux community