speechshift 0.1.2

A fully local, offline first speech-to-text application made for Linux.

SpeechShift

A fully local, offline first speech-to-text application made for desktop environments running Wayland compositor (DE's like hyprland etc...).

Records audio when a hotkey is pressed, transcribes it using faster-whisper, and automatically types the transcribed text.

Demo

Demo done on omarchy running hyprland

Roadmap

• Support for even faster transcription methods like nvidia parakeet
• Support online transcription APIs like OpenAI and other popular ones
• Custom vocabulary support
• Use LLM's like ChatGPT to auto format text before pasting

System Requirements

We'll expand compatibility in the coming days.

• Window manager: Wayland
• Python: 3.8+
• Package manager: UV

Installation

1. Automatic Installation (Recommended)

uv tool install speechshift

Run test to make sure pipewire, wl clipboard is present. It also downloads the whisper (small - ~80mb) model for transcription.

speechshift --test

Add these lines to your ~/.config/hypr/hyprland.conf:

The recommended default is Super+Shift+R, but you can set it to anything you like

# SpeechShift POC Keybinds
bind = SUPER_SHIFT, R, exec, /path/to/speechshift --toggle

and setup speechshift daemon to startup on default by adding these lines to ~/.config/hypr/hyprland.conf

exec-once = /path/to/speechshift --deamon

Then either restart, so that the deamon is automatically run. Or start running the speechshift deamon manually for this session by running

speechshift --deamon

Usage

1. Start recording (Super+Shift+R): You'll see a notification: "🎤 Recording started..."
2. Stop recording (Super+Shift+R): Audio is automatically transcribed using faster-whisper, Transcribed text is typed into the focused window. Notifications show: "🔄 Transcribing audio..." → "✅ Transcribed: [preview]"

How It Works

Architecture Overview

Keybind (Super+Shift+R)
    ↓
Main Python Script
    ├── PipeWire Audio Recording (sounddevice)
    ├── AI Transcription (faster-whisper)
    ├── Temporary File Management
    ├── Wayland Text Input (wl-clipboard + wtype)
    ├── Smart Notifications (notify-send)
    └── Hyprland IPC (optional window detection)

Recording Workflow

1. Keybind Press: Hyprland detects Super+Shift+R press
2. Recording Start:
   • Python script starts PipeWire audio capture
   • Notification: "🎤 Recording started..."
   • Audio streams to temporary WAV file in /tmp
3. Keybind Release: Hyprland detects key release
4. Recording Stop & Transcription:
   • Audio capture stops
   • Notification: "🔄 Transcribing audio..."
   • faster-whisper transcribes the audio
   • Transcribed text inserted via wtype
   • Temporary file automatically deleted
   • Success notification: "✅ Transcribed: [preview]"

Technical Details

• Audio Format: 16-bit WAV, 44.1kHz, mono
• Transcription Model: faster-whisper "base" model (configurable)
• File Handling: Temporary files in /tmp, auto-cleanup after transcription
• Text Insertion: Direct typing via wtype, fallback to clipboard paste
• Notifications: Smart status updates via notify-send
• Error Handling: Graceful fallback with error notifications

Troubleshooting

Common Issues

1. "sounddevice not available":

   # Install manually: pip install --user sounddevice numpy
   

2. "Audio recording failed":

   • Check PipeWire is running: systemctl --user status pipewire
   • Test microphone: pw-record --list-targets
   • Verify permissions: ensure user is in audio group

3. "Hyprland socket not found":

   • Ensure running under Hyprland
   • Check environment variables: echo $HYPRLAND_INSTANCE_SIGNATURE

4. "Text insertion not working":

   • Verify wtype is installed: wtype --version
   • Test manually: wtype "test"
   • Check focused window accepts text input

5. "Notifications not showing":

   • Test manually: notify-send "test" "message"

Debug Mode

Enable detailed logging by checking ~/.speechshift.log:

tail -f ~/.speechshift.log