Free, open-source voice-to-text dictation app with AI agents, meeting transcription, and notes.
Privacy-first alternative to WisprFlow, Granola, and Otter. Cross-platform for macOS, Windows, and Linux.

Website · Docs · Download · API · Changelog

OpenWhispr turns your voice into text, notes, and actions from your desktop. Press a hotkey, speak, and your words appear at your cursor. Choose between fully private offline transcription with local speech-to-text engines like Whisper and NVIDIA Parakeet — where your audio never leaves your device — or cloud processing for speed. No data collection, no telemetry, fully open source.

• Voice dictation — global hotkey to dictate into any app with automatic pasting
• AI agent — talk to GPT-5, Claude, Gemini, Groq, or local models with a named voice assistant
• Meeting transcription — auto-detect Zoom, Teams, and FaceTime calls with live speaker diarization, voice fingerprinting, and Google Calendar integration
• Local speaker diarization — on-device speaker labelling with voice fingerprint recognition across meetings, no cloud required
• Notes — create, organize, and search notes with folders, semantic search, cloud sync, and AI actions
• Local or cloud — your choice — all core features (transcription, AI reasoning, speaker diarization, semantic search) work with local models or cloud providers
• Public API & MCP — manage notes and transcriptions programmatically or connect your AI assistant via the MCP server

git clone https://github.com/OpenWhispr/openwhispr.git
cd openwhispr
npm install
npm run dev

Requires Node.js 24+. See the full documentation for setup guides, platform-specific instructions, and build details.

Visit docs.openwhispr.com for:

• Getting started
• Platform guides (macOS, Windows, Linux)
• API reference
• MCP server setup
• Troubleshooting

React 19, TypeScript, Tailwind CSS v4, Electron 41, better-sqlite3, whisper.cpp, sherpa-onnx, shadcn/ui

Neon is the serverless Postgres platform powering OpenWhispr Cloud.

We welcome contributions. Fork the repo, create a feature branch, and open a pull request. See the contributing guide for development setup and guidelines.

MIT — free for personal and commercial use.

• OpenAI Whisper — speech recognition model powering local and cloud transcription
• whisper.cpp — high-performance C++ implementation for local processing
• NVIDIA Parakeet — fast multilingual ASR model
• sherpa-onnx — cross-platform ONNX runtime for Parakeet inference
• llama.cpp — local LLM inference for AI text processing
• Electron — cross-platform desktop framework
• React — UI component library
• shadcn/ui — accessible components built on Radix primitives
• Neon — serverless Postgres powering OpenWhispr Cloud