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# STT Status Bar App Usage
## Overview
The STT (Speech-to-Text) status bar app provides a convenient macOS menu bar interface for controlling speech-to-text functionality using wake word activation.
## Features
- **Start/Stop/Pause/Resume**: Full control over STT recording
- **Status Indicators**: Visual status in menu bar (🎙️🔴 recording, 🎙️⏸️ paused, 🎙️⚫ stopped)
- **Configurable Settings**: Change wake words and models on the fly
- **File Output**: Save transcriptions to a file
- **Notifications**: Real-time notifications for transcriptions and status changes
## Usage
### Starting the Status Bar App
```bash
# Launch the status bar app
tooling stt statusbar
# Or using the full CLI path
python -m tooling.cli stt statusbar
```
### Menu Options
#### Main Controls
- **Start STT**: Begin speech-to-text with current settings
- **Stop STT**: Stop speech-to-text completely
- **Pause**: Temporarily pause recognition (keeps recorder alive)
- **Resume**: Resume recognition from pause
#### Settings
- **Wake Word**: Choose from predefined options:
- jarvis (default)
- alexa
- hey google
- hey siri
- computer
- **Model**: Select Whisper model:
- tiny (fastest, least accurate)
- base (default, good balance)
- small (more accurate)
- medium (most accurate, slower)
#### File Management
- **Show Recent Transcriptions**: Display last 10 transcription entries
- **Save to File...**: Set output file for saving transcriptions
### Status Indicators
| Icon | Status | Description |
|------|--------|-------------|
| 🎙️⚫ | Stopped | STT is not running |
| 🎙️🔴 | Recording | STT is active and listening |
| 🎙️⏸️ | Paused | STT is paused but can be resumed |
### Workflow Example
1. **Launch the app**: `tooling stt statusbar`
2. **Look for the 🎙️ icon** in your macOS menu bar
3. **Click the icon** to open the menu
4. **Set your preferences**:
- Choose wake word from Settings > Wake Word
- Select model from Settings > Model
- Optionally set output file with "Save to File..."
5. **Click "Start STT"** to begin
6. **Say your wake word** (e.g., "jarvis") to trigger recording
7. **Speak clearly** after the wake word is detected
8. **Get notifications** with your transcribed text
9. **Use Pause/Resume** as needed
10. **Click "Stop STT"** when done
### Notifications
The app provides notifications for:
- STT started/stopped/paused/resumed
- Transcribed speech (shows first 100 characters)
- Settings changes (when STT is running)
- File operations
### File Output
When you set an output file:
- Transcriptions are saved with timestamps
- Sessions are marked with start/end timestamps
- File is automatically created in ~/Documents/ by default
- Each transcription includes: `[HH:MM:SS] transcribed text`
### Requirements
- macOS (rumps requires macOS and PyObjC)
- RealtimeSTT library
- Working microphone
- Python 3.11+
### Troubleshooting
- **No menu bar icon**: Make sure you're running on macOS and rumps is installed
- **No transcriptions**: Check microphone permissions and try speaking louder
- **Wake word not detected**: Try adjusting sensitivity or use a different wake word
- **High CPU usage**: Consider using the "tiny" model for better performance
### Advanced Configuration
The status bar app uses sensible defaults, but you can modify the underlying configuration by editing the STTStatusBarApp class in `src/tooling/stt_cli.py`.
Default settings:
- Wake word: "jarvis"
- Model: "base"
- Sensitivity: 0.6
- Device: auto-detect (CUDA if available, otherwise CPU)
- Realtime display: enabled
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2025-07-22 22:10:54.507 - RealTimeSTT: realtimestt - INFO - Starting RealTimeSTT
2025-07-22 22:10:54.520 - RealTimeSTT: realtimestt - INFO - Initializing audio recording (creating pyAudio input stream, sample rate: 16000 buffer size: 512
2025-07-22 22:10:54.523 - RealTimeSTT: realtimestt - INFO - Initializing faster_whisper realtime transcription model tiny, default device: cpu, compute type: default, device index: 0, download root: None
2025-07-22 22:10:55.181 - RealTimeSTT: realtimestt - DEBUG - Faster_whisper realtime speech to text transcription model initialized successfully
2025-07-22 22:10:55.181 - RealTimeSTT: realtimestt - ERROR - Wakeword engine unknown/unsupported or wake_words not specified. Please specify one of: pvporcupine, openwakeword.
NoneType: None
2025-07-22 22:10:55.181 - RealTimeSTT: realtimestt - INFO - Initializing WebRTC voice with Sensitivity 3
2025-07-22 22:10:55.181 - RealTimeSTT: realtimestt - DEBUG - WebRTC VAD voice activity detection engine initialized successfully
2025-07-22 22:10:55.838 - RealTimeSTT: realtimestt - DEBUG - Silero VAD voice activity detection engine initialized successfully
2025-07-22 22:10:55.838 - RealTimeSTT: realtimestt - DEBUG - Starting realtime worker
2025-07-22 22:10:55.838 - RealTimeSTT: realtimestt - DEBUG - Waiting for main transcription model to start
2025-07-22 22:11:01.946 - RealTimeSTT: realtimestt - DEBUG - Main transcription model ready
2025-07-22 22:11:01.946 - RealTimeSTT: realtimestt - DEBUG - RealtimeSTT initialization completed successfully
2025-07-22 22:11:01.946 - RealTimeSTT: realtimestt - INFO - Setting listen time
2025-07-22 22:11:01.946 - RealTimeSTT: realtimestt - INFO - State changed from 'inactive' to 'listening'
2025-07-22 22:11:01.947 - RealTimeSTT: realtimestt - DEBUG - Waiting for recording start
2025-07-22 22:11:01.981 - RealTimeSTT: realtimestt - INFO - State changed from 'listening' to 'wakeword'