Meetdy

A free, open source, and extensible speech-to-text application that works completely offline.

Meetdy is a cross-platform desktop application built with Tauri (Rust + React/TypeScript) that provides simple, privacy-focused speech transcription. Press a shortcut, speak, and have your words appear in any text field—all without sending your voice to the cloud.

Features

• Free: Accessibility tooling belongs in everyone's hands, not behind a paywall
• Open Source: Together we can build further. Extend Meetdy for yourself and contribute to something bigger
• Private: Your voice stays on your computer. Get transcriptions without sending audio to the cloud
• Simple: One tool, one job. Transcribe what you say and put it into a text box

How It Works

1. Press a configurable keyboard shortcut to start/stop recording (or use push-to-talk mode)
2. Speak your words while the shortcut is active
3. Release and Meetdy processes your speech using Whisper
4. Get your transcribed text pasted directly into whatever app you're using

The process is entirely local:

• Silence is filtered using VAD (Voice Activity Detection) with Silero
• Transcription uses your choice of models:
  • Whisper models (Small/Medium/Turbo/Large) with GPU acceleration when available
  • Parakeet V3 - CPU-optimized model with excellent performance and automatic language detection
• Works on Windows, macOS, and Linux

Quick Start

Installation

1. Download the latest release from the releases page
2. Install the application following platform-specific instructions
3. Launch Meetdy and grant necessary system permissions (microphone, accessibility)
4. Configure your preferred keyboard shortcuts in Settings
5. Start transcribing!

Development Setup

For detailed build instructions including platform-specific requirements, see BUILD.md.

Prerequisites:

• Rust (latest stable)
• Bun package manager

# Install dependencies
bun install

# Run in development mode
bun run tauri dev

# Build for production
bun run tauri build

Architecture

Meetdy is built as a Tauri application combining:

• Frontend: React + TypeScript with Tailwind CSS for the settings UI
• Backend: Rust for system integration, audio processing, and ML inference
• Core Libraries:
  • whisper-rs: Local speech recognition with Whisper models
  • transcription-rs: CPU-optimized speech recognition with Parakeet models
  • cpal: Cross-platform audio I/O
  • vad-rs: Voice Activity Detection
  • rdev: Global keyboard shortcuts and system events
  • rubato: Audio resampling

Debug Mode

Meetdy includes an advanced debug mode for development and troubleshooting. Access it by pressing:

• macOS: Cmd+Shift+D
• Windows/Linux: Ctrl+Shift+D

Platform Support

• macOS (both Intel and Apple Silicon)
• x64 Windows
• x64 Linux

System Requirements

For Whisper Models:

• macOS: M series Mac, Intel Mac
• Windows: Intel, AMD, or NVIDIA GPU
• Linux: Intel, AMD, or NVIDIA GPU (Ubuntu 22.04, 24.04)

For Parakeet V3 Model:

• CPU-only operation - runs on a wide variety of hardware
• Minimum: Intel Skylake (6th gen) or equivalent AMD processors
• Performance: ~5x real-time speed on mid-range hardware

Contributing

1. Check existing issues at github.com/chaudl113/meetdy/issues
2. Fork the repository and create a feature branch
3. Test thoroughly on your target platform
4. Submit a pull request with clear description of changes

License

MIT License - see LICENSE file for details.

Acknowledgments

• Whisper by OpenAI for the speech recognition model
• whisper.cpp and ggml for amazing cross-platform whisper inference/acceleration
• Silero for great lightweight VAD
• Tauri team for the excellent Rust-based app framework
• Handy - The original project this was forked from

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"Your search for the right speech-to-text tool can end here—not because Meetdy is perfect, but because you can make it perfect for you."