{"data":{"slug":"cjpais-handy","name":"Handy","tagline":"A free, open source, and extensible speech-to-text application that works completely offline.","github_url":"https://github.com/cjpais/Handy","owner":"cjpais","repo":"Handy","owner_avatar_url":"https://avatars.githubusercontent.com/u/1559480?v=4","primary_language":"Rust","stars":26254,"forks":2257,"topics":["accessibility","cross-platform","speech-to-text","tauri-v2"],"archived":false,"github_pushed_at":"2026-07-11T03:04:16+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/cjpais-handy","markdown_url":"https://www.graphcanon.com/tools/cjpais-handy.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/cjpais-handy","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=cjpais-handy","description":"A free, open source, and extensible speech-to-text application that works completely offline.","homepage_url":"https://handy.computer","license":"MIT","open_issues":167,"watchers":78,"ai_summary":null,"readme_excerpt":"### Installation\n\n1. Download the latest release from the [releases page](https://github.com/cjpais/Handy/releases) or the [website](https://handy.computer)\n   - **macOS**: Also available via [Homebrew cask](https://formulae.brew.sh/cask/handy): `brew install --cask handy`\n   - **Windows**: Also available via [winget](https://github.com/microsoft/winget-pkgs): `winget install cjpais.Handy` \\\n     **Note:** The Homebrew cask and winget package are not maintained by the Handy developers.\n2. Install the application\n3. Launch Handy and grant necessary system permissions (microphone, accessibility)\n4. Configure your preferred keyboard shortcuts in Settings\n5. Start transcribing!\n\n---\n\n### System Requirements/Recommendations\n\nThe following are recommendations for running Handy on your own machine. If you don't meet the system requirements, the performance of the application may be degraded. We are working on improving the performance across all kinds of computers and hardware.\n\n**For Whisper Models:**\n\n- **macOS**: M series Mac, Intel Mac\n- **Windows**: Intel, AMD, or NVIDIA GPU\n- **Linux**: Intel, AMD, or NVIDIA GPU\n  - Ubuntu 22.04, 24.04\n\n**For Parakeet V3 Model:**\n\n- **CPU-only operation** - runs on a wide variety of hardware\n- **Minimum**: Intel Skylake (6th gen) or equivalent AMD processors\n- **Performance**: ~5x real-time speed on mid-range hardware (tested on i5)\n- **Automatic language detection** - no manual language selection required\n\n---\n\n### Manual Model Installation (For Proxy Users or Network Restrictions)\n\nIf you're behind a proxy, firewall, or in a restricted network environment where Handy cannot download models automatically, you can manually download and install them. The URLs are publicly accessible from any browser.\n\n#### Step 1: Find Your App Data Directory\n\n1. Open Handy settings\n2. Navigate to the **About** section\n3. Copy the \"App Data Directory\" path shown there, or use the shortcuts:\n   - **macOS**: `Cmd+Shift+D` to open debug menu\n   - **Windows/Linux**: `Ctrl+Shift+D` to open debug menu\n\nThe typical paths are:\n\n- **macOS**: `~/Library/Application Support/com.pais.handy/`\n- **Windows**: `C:\\Users\\{username}\\AppData\\Roaming\\com.pais.handy\\`\n- **Linux**: `~/.config/com.pais.handy/`\n\n#### Step 2: Create Models Directory\n\nInside your app data directory, create a `models` folder if it doesn't already exist:\n\n```bash\n\n---\n\n## License\n\nMIT License - see [LICENSE](LICENSE) file for details.\n\nHandy is open-source software, but the Handy name, logo, icon, and brand assets are not open-source. Unofficial forks, rewrites, and redistributions must use their own branding and must not imply endorsement or affiliation.","github_created_at":"2025-02-13T02:42:29+00:00","created_at":"2026-07-11T12:13:36.95627+00:00","updated_at":"2026-07-11T12:13:41.498745+00:00","categories":[{"slug":"vector-databases","name":"Vector Databases","url":"https://www.graphcanon.com/categories/vector-databases","markdown_url":"https://www.graphcanon.com/categories/vector-databases.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/vector-databases"},{"slug":"computer-vision","name":"Computer Vision","url":"https://www.graphcanon.com/categories/computer-vision","markdown_url":"https://www.graphcanon.com/categories/computer-vision.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/computer-vision"},{"slug":"speech-audio","name":"Speech & Audio","url":"https://www.graphcanon.com/categories/speech-audio","markdown_url":"https://www.graphcanon.com/categories/speech-audio.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/speech-audio"}],"tags":[{"slug":"tauri-v2","name":"tauri-v2"},{"slug":"speech-to-text","name":"speech-to-text"},{"slug":"cross-platform","name":"cross-platform"},{"slug":"rust","name":"rust"},{"slug":"accessibility","name":"accessibility"}],"trust":{"provenance":{"is_fork":false,"github_id":931888694,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T12:13:37.637Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":3,"days_since_push":0,"last_release_at":"2026-07-10T13:11:06Z"},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T12:13:38.728Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"mcp":{"source":"repo_scan","observed_at":"2026-07-11T12:13:38.461Z","server_manifest":false},"scan":{"source":"repo_scan","observed_at":"2026-07-11T12:13:38.461Z"},"languages":{"value":["rust","javascript","typescript"],"source":"github.language+package.json","observed_at":"2026-07-11T12:13:38.461Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-07-11T12:13:38.461Z"}}}}