stttype 2.0.3

Cross-platform voice-to-text typing assistant with GPU acceleration and automatic CPU fallback

STT Type v1.0.0

Python based STT module running on GPU.

Hold F2 to record your voice, release to transcribe and type the text automatically at your cursor position.

Features

• Cross-platform - Works on Windows, Linux, and macOS
• Hold F2 to record - Audio captures while key is held
• Visual indicator - Semi-transparent red dot with "F2" label appears in top-right corner while recording
• Bell sounds - Audio feedback when recording starts/stops
• GPU-accelerated STT - Uses faster-whisper on your NVIDIA GPU
• Auto-typing - Transcribed text is typed at cursor position
• System tray mode - Runs silently in background
• Auto-startup - Starts automatically on login

Requirements

• Python 3.9+
• NVIDIA GPU with CUDA support (for GPU mode)
• Microphone

Installation

Prerequisites

Install PyTorch with CUDA support:

# Windows/Linux
pip install torch torchaudio --index-url https://download.pytorch.org/whl/cu118

# macOS (CPU only, no CUDA)
pip install torch torchaudio

Windows

cd "E:\Lucas\STT Type"
.\install.ps1

Then restart PowerShell.

Linux

cd /path/to/stttype
chmod +x install.sh
./install.sh

If sounddevice fails, install PortAudio:

# Debian/Ubuntu
sudo apt-get install portaudio19-dev

# Fedora
sudo dnf install portaudio-devel

# Arch
sudo pacman -S portaudio

macOS

cd /path/to/stttype
chmod +x install.sh
./install.sh

If sounddevice fails, install PortAudio:

brew install portaudio

Note: On macOS, you need to grant Accessibility permissions for pynput to capture global hotkeys. Go to System Settings > Privacy & Security > Accessibility and add your terminal application.

Commands

Once installed, stttype works from any terminal.

Command	Description
stttype --start	Start STT Type in background
stttype --shutdown	Stop all STT Type processes
stttype --status	Check if STT Type is running
stttype --restart	Restart STT Type
stttype --addtostartup	Add to startup
stttype --rmtostartup	Remove from startup
stttype --model <size>	Set Whisper model (tiny/base/small/medium/large-v3)
stttype --lang <code>	Set language (en/zh/auto/etc)
stttype --help	Show help

Examples

# Start with default settings
stttype --start

# Start with a larger model for better accuracy
stttype --start --model small

# Start with Chinese language
stttype --start --lang zh

# Start with small model and auto-detect language
stttype --start --model small --lang auto

How It Works

1. Hold F2 - A semi-transparent red dot with "F2" appears in the top-right corner, microphone starts recording
2. Release F2 - Red dot disappears, recording stops
3. GPU transcribes - Whisper processes audio on your NVIDIA GPU
4. Text is typed - Result appears at your cursor position

Models

Model	Size	VRAM	Speed	Accuracy
tiny	39 MB	~1 GB	Fastest	Basic
base	74 MB	~1 GB	Fast	Good
small	244 MB	~2 GB	Medium	Better
medium	769 MB	~5 GB	Slower	Best
large-v3	1550 MB	~10 GB	Slowest	Excellent

Default is base - a good balance of speed and accuracy.

Uninstall

Windows

cd "E:\Lucas\STT Type"
.\uninstall.ps1

Linux/macOS

cd /path/to/stttype
chmod +x uninstall.sh
./uninstall.sh

Troubleshooting

Issue	Solution
stttype not found	Restart terminal after installation
"CUDA not available"	Install NVIDIA drivers and CUDA toolkit
No sound on start/stop	Check system volume
Text not typing	Make sure the target window is focused
Model download fails	Check internet connection
Hotkeys don't work (macOS)	Grant Accessibility permissions to your terminal
Hotkeys don't work (Linux)	Make sure you're running under X11 (not Wayland)

Publish to PyPI

# Install build tools
pip install build twine

# Build
cd /path/to/stttype
python -m build

# Upload
python -m twine upload dist/*

When prompted:

• Username: __token__
• Password: Your PyPI API token

---

Author: LucasApps
Version: 1.0.0
License: MIT