GhostPepper
brew install --cask ghostpepper
v2.4.0
Speech-to-text and meeting transcription tool
42
30-day installs · #2175
236
90-day · #1588
236
365-day · #3066
2.8k
★ GitHub stars · updated 2mo ago
Links
- https://github.com/matthartman/ghost-pepper
- GitHub: matthartman/ghost-pepper
- Brew formula source: Casks/g/ghostpepper.rb
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"github_readme_excerpt": "\u003cdiv align=\"center\"\u003e\n\n\u003cimg src=\"./app-icon.png\" width=\"80\" alt=\"Ghost Pepper\"\u003e\n\n# Ghost Pepper\n\n**100% private** on-device voice models for speech-to-text and meeting transcription on macOS. No cloud APIs, no data leaves your machine.\n\n\u003ca href=\"https://github.com/matthartman/ghost-pepper/releases/latest/download/GhostPepper.dmg\"\u003e\n \u003cimg src=\"https://img.shields.io/badge/Download_for_Mac-FF6600?style=for-the-badge\u0026logo=apple\u0026logoColor=white\" alt=\"Download for Mac\" height=\"40\"\u003e\n\u003c/a\u003e\n\nmacOS 14.0+ \u00b7 Apple Silicon (M1+) \u00b7 Free \u0026 open source\n\n[](https://github.com/matthartman/ghost-pepper)\n\u0026nbsp;\n[](LICENSE)\n\u0026nbsp;\n\n\u0026nbsp;\n\n\n\u003c/div\u003e\n\n## Features\n\n- **Hold Control to talk** \u2014 release to transcribe and paste into any text field\n- **Meeting transcription** \u2014 record calls with notes, transcript, and AI-generated summaries saved as markdown\n- **Runs entirely on your Mac** \u2014 models run locally via Apple Silicon, nothing is sent anywhere\n- **Smart cleanup** \u2014 local LLM removes filler words and handles self-corrections\n- **Menu bar app** \u2014 lives in your menu bar, no dock icon, launches at login\n- **Customizable** \u2014 edit the cleanup prompt, pick your mic, toggle features on/off\n\n## How it works\n\nGhost Pepper uses open-source models that run entirely on your Mac. Models download automatically and are cached locally.\n\n### Speech models\n\n| Model | Size | Best for |\n|---|---|---|\n| Whisper tiny.en | ~75 MB | Fastest, English only |\n| **Whisper small.en** (default) | ~466 MB | Best accuracy, English only |\n| Whisper small (multilingual) | ~466 MB | Multi-language support |\n| Parakeet v3 (25 languages) | ~1.4 GB | Multi-language via [FluidAudio](https://github.com/FluidInference/FluidAudio) |\n| Qwen3-ASR 0",
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