Voice‑powered typing for Wayland/Hyprland — press to toggle, speak, instant paste. Streams audio while you talk and pastes the final text the moment you toggle off → aims to be the fastest feel on Wayland.

Status: Early development (expect rough edges)

TL;DR

Toggle workflow (Hyprland‑friendly): press to start, press to stop.
Pipeline owns state; daemon is a thin control plane (IPC + lifecycle).
Notifications for key events (recording started/ended, aborted).
Audio capture via PipeWire (pw-record) with backpressure.
ASR + clipboard injection are planned; injection is currently stubbed.

Requirements

Go 1.24.5+ (for building from source)
Wayland + Hyprland
PipeWire tools: pw-record and pw-cli
systemd --user (service)
Optional: libnotify/notify-send (desktop notifications)
Planned/optional: wl-clipboard (clipboard save/restore), wtype/ydotool (text injection)

Other distros may work, but Arch/Hyprland is the primary target for now.

Install (Arch / Hyprland)

# AUR
yay -S hyprvoice          # or: yay -S hyprvoice-bin

# Enable user service
systemctl --user enable --now hyprvoice.service

# Hyprland keybind (toggle)
bind = SUPER, R, exec, hyprvoice toggle

Usage

Basic Usage

Press your toggle key to start; press again to stop.
Audio is captured via PipeWire; the pipeline enters transcribing after the first frame.
On toggle‑off during transcribing, an inject action is sent. Injection is currently simulated (no clipboard paste yet).

CLI Commands

# Start the daemon
hyprvoice serve

# Toggle recording on/off
hyprvoice toggle

# Check current status
hyprvoice status

# Get protocol version
hyprvoice version

# Stop the daemon
hyprvoice stop

Status

Component	State	Notes
Daemon (control plane)	✅	IPC server, lifecycle; forwards status from the pipeline
Recording control	✅	`hyprvoice toggle`
Desktop notifications	✅	`notify-send` (logs fallback)
Audio capture	✅	PipeWire (`pw-record`) frames + bounded channels
Simple transcriber	✅	Collect audio and transcribe when complete
OpenAI adapter	✅	HTTP API calls with clean audio buffering
whisper.cpp adapter	⏳	Local inference ready for implementation
Text injection	⏳	Not implemented; will use clipboard + `wtype`/`ydotool`
Service management	🔄	`systemd --user` unit example provided

Legend: ✅ done · 🔄 in progress · ⏳ planned

How it works

Model: The pipeline owns all runtime state; the daemon is a control plane (IPC + lifecycle) that starts/stops a pipeline instance and forwards status.
State machine (pipeline): idle → recording → transcribing → injecting → idle.
Rule: switch to transcribing as soon as the first audio frame arrives.

Diagrams

flowchart LR
  subgraph Client
    CLI["CLI/Tool"]
  end
  subgraph Daemon
    D["Control Daemon (lifecycle + IPC)"]
  end
  subgraph Pipeline
    A["Audio Capture"]
    T["Transcribing (ASR TBD)"]
    I["Injecting (stub)"]
  end
  N["notify-send/log"]

  CLI -- unix socket --> D
  D -- start/stop --> A
  A -- frames --> T
  T -- status --> D
  D -- events --> N
  D -- inject action --> T
  T --> I
  I -->|done| D

stateDiagram-v2
  [*] --> idle
  idle --> recording: toggle
  recording --> transcribing: first_frame
  transcribing --> injecting: inject_action
  injecting --> idle: done
  recording --> idle: abort
  injecting --> idle: abort

Transcription Strategy

Hyprvoice uses a simple collect-and-transcribe approach for reliable transcription:

Collect all audio during recording session
Single transcription when recording stops
Clean, predictable results with full context
Provider-agnostic adapter pattern for different backends

Architecture:

Audio Frames → Audio Buffer → Backend Adapter → Transcription
                     ↓
              [OpenAI API, whisper.cpp, etc.]

Data flow

toggle (daemon) → create pipeline → recording
First frame arrives → transcribing (daemon may notify Transcribing later)
Audio frames → audio buffer (collect all audio during session)
Second toggle during transcribing → send inject action → transcribe collected audio → injecting (simulated)
Complete → idle; pipeline stops; daemon clears reference
Notifications at key transitions

Build from source

git clone https://github.com/leonardotrapani/hyprvoice.git
cd hyprvoice

# Build the binary
CGO_ENABLED=1 go build -o hyprvoice ./cmd/hyprvoice

# Run tests (when available)
go test ./...

# Install locally
sudo cp hyprvoice /usr/local/bin/

Dependencies

Cobra CLI - Command-line interface framework
Go 1.24.5+ - Programming language runtime

Configuration

File Locations

Socket: ~/.cache/hyprvoice/control.sock - IPC communication
PID file: ~/.cache/hyprvoice/hyprvoice.pid - Process tracking

Systemd Service

In the future, this will be implemented with the command hyprvoice install The daemon runs as a user service. To create a systemd service file:

# Create service file at ~/.config/systemd/user/hyprvoice.service
mkdir -p ~/.config/systemd/user
cat > ~/.config/systemd/user/hyprvoice.service << 'EOF'
[Unit]
Description=Hyprvoice daemon
After=pipewire.service

[Service]
Type=simple
ExecStart=/usr/local/bin/hyprvoice serve
Restart=on-failure
RestartSec=5

[Install]
WantedBy=default.target
EOF

# Enable and start
systemctl --user daemon-reload
systemctl --user enable --now hyprvoice.service

Development

Project Structure

hyprvoice/
├── cmd/hyprvoice/         # Main CLI application
├── internal/
│   ├── bus/              # IPC (Unix socket) + PID management
│   ├── daemon/           # Control plane (IPC server, lifecycle; no state)
│   ├── notify/           # Desktop notifications
│   ├── pipeline/         # Pipeline + state machine (record/transcribe/inject)
│   ├── recording/        # Audio capture via PipeWire
│   └── transcriber/      # Simple transcriber + adapters (OpenAI, whisper.cpp)
├── go.mod                # Go module definition
└── README.md

State Machine

The pipeline operates with these states:

idle → recording → transcribing → injecting → idle

IPC Protocol

Single-character commands over Unix socket:

t - Toggle recording
s - Get status
v - Get protocol version
q - Quit daemon

Running in Development

# Terminal 1: Start daemon with logs
go run ./cmd/hyprvoice serve

# Terminal 2: Test commands
go run ./cmd/hyprvoice toggle
go run ./cmd/hyprvoice status

Direction / Roadmap

ASR integration: OpenAI adapter complete; whisper.cpp adapter ready for implementation.
Proper injection: clipboard save/restore + Ctrl+V, with wtype/ydotool fallbacks.
Configuration options: devices, sample rate, transcription providers.
Enhanced features: VAD for auto-stop, improved chunking strategies if needed.
Tests: comprehensive testing for pipeline state transitions and transcription.
Direction is flexible; we can adjust based on UX feedback and performance needs.

Troubleshooting

Common Issues

Daemon won't start

# Check if already running
hyprvoice status

# Check PID file
ls -la ~/.cache/hyprvoice/

# Remove stale files
rm ~/.cache/hyprvoice/hyprvoice.pid
rm ~/.cache/hyprvoice/control.sock

No notifications

# Test notify-send
notify-send "Test notification"

# Check if libnotify is installed
which notify-send

Permission errors

# Check socket permissions
ls -la ~/.cache/hyprvoice/control.sock

# Recreate cache directory
rm -rf ~/.cache/hyprvoice
mkdir -p ~/.cache/hyprvoice

Debug Mode

# Run with verbose logging
hyprvoice serve 2>&1 | tee hyprvoice.log

Contributing

All PRs and issues welcome.
Follow existing code conventions
Add tests for new functionality
Update documentation for user-facing changes

License

MIT — see LICENSE.md

README.md Unescape Escape

Hyprvoice