The open-source and free alternative to WisprFlow and Granola.
Privacy-first voice-to-text dictation with AI agents, meeting transcription, and notes. Cross-platform for macOS, Windows, and Linux.
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--- 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 models like Orukeet, Whisper, NVIDIA Parakeet, and Cohere Transcribe — where your audio never leaves your device — or cloud processing for speed. No data collection, no telemetry, fully open source. ## Download | Platform | Download | | --------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | macOS (Apple Silicon) | [`.dmg`](https://github.com/OpenWhispr/openwhispr/releases/latest) | | macOS (Intel) \* | [`.dmg`](https://github.com/OpenWhispr/openwhispr/releases/latest) | | Windows | [`.exe`](https://github.com/OpenWhispr/openwhispr/releases/latest) | | Linux | [`.AppImage`](https://github.com/OpenWhispr/openwhispr/releases/latest) / [`.deb`](https://github.com/OpenWhispr/openwhispr/releases/latest) / [`.rpm`](https://github.com/OpenWhispr/openwhispr/releases/latest) / [`.tar.gz`](https://github.com/OpenWhispr/openwhispr/releases/latest) | \* On Intel Macs, live speaker identification and voice fingerprinting are unavailable: they depend on ONNX Runtime, which [stopped shipping macOS x86_64 binaries in 1.24](https://github.com/microsoft/onnxruntime/releases/tag/v1.24.1). Meetings still record and transcribe normally, and notes search falls back to keyword matching instead of semantic search. On macOS or x86_64 Linux, you can also install the community-maintained [Homebrew cask](https://formulae.brew.sh/cask/openwhispr): ```bash brew install --cask openwhispr ``` ## Features - **Voice dictation** — global hotkey to dictate into any app with automatic pasting - **Dictation translation** — dedicated hotkey to dictate in one language and paste the text in another - **AI agent** — talk to GPT-5, Claude, Gemini, Groq, Tinfoil, OpenRouter, or local models with a named voice assistant - **Voice Assistant hotkey** — dedicated hotkey that sends what you say straight to your AI assistant as a command, no wake word needed and no cleanup pass; highlighted text is edited in place. With auto-paste enabled, answers paste at a focused text cursor or stream into a floating panel and copy to the clipboard when no writable cursor is available. You can also opt in to sending a screenshot of your current screen as context - **Meeting transcription** — auto-detect Zoom, Teams, and FaceTime calls with live speaker diarization, voice fingerprinting, and Google, Microsoft, or Apple 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 - **Team spaces & sharing** — free for signed-in users; share notes on the web with link, domain, or invite-only visibility, and collaborate in team spaces with roles, invitations, and server-enforced membership - **Audio import** — transcribe existing audio and video: drag in files, batch-upload, or paste a YouTube/audio URL, with optional speaker detection - **Local or cloud — your choice** — all core features (transcription, AI reasoning, speaker diarization, semantic search) work with local models or cloud providers — including GPU-accelerated local Whisper on Metal, CUDA, and Vulkan (AMD/Intel) - **Enterprise controls** — enforce organization policy, company SSO and SCIM, and centrally managed Amazon Bedrock or Azure OpenAI access without distributing cloud keys - **Public API & MCP** — manage notes and transcriptions programmatically or connect your AI assistant via the [MCP server](https://docs.openwhispr.com/integrations/mcp) ## Quick start ```bash git clone https://github.com/OpenWhispr/openwhispr.git cd openwhispr npm install npm run dev ``` Requires Node.js 24+. See the [full documentation](https://docs.openwhispr.com/quickstart) for setup guides, platform-specific instructions, and build details. The commands above run the desktop application, which remains at the repository root. The Expo mobile application lives in [`openwhispr-mobile`](openwhispr-mobile/) with its own dependencies, lockfile, build configuration, and release process. See the [mobile README](openwhispr-mobile/README.md) for its setup instructions. ## Documentation Visit **[docs.openwhispr.com](https://docs.openwhispr.com)** for: - [Getting started](https://docs.openwhispr.com/quickstart) - [Platform guides](https://docs.openwhispr.com/platform/macos) (macOS, Windows, Linux) - [API reference](https://docs.openwhispr.com/api/overview) - [MCP server setup](https://docs.openwhispr.com/integrations/mcp) - [Troubleshooting](https://docs.openwhispr.com/troubleshooting) Repo examples: - [Custom ASR shim](examples/custom-asr-shim/) for Self-Hosted transcription against non-OpenAI-compatible ASR APIs ## Tech stack React 19, TypeScript, Tailwind CSS v4, Electron 41, better-sqlite3, whisper.cpp, sherpa-onnx, shadcn/ui ## Star History [](https://www.star-history.com/#OpenWhispr/openwhispr&type=date&legend=top-left) ## Sponsors
Neon is the serverless Postgres platform powering OpenWhispr Cloud.
## Contributing We welcome contributions. Fork the repo, create a feature branch, and open a pull request. See the [contributing guide](https://docs.openwhispr.com/contributing) for development setup and guidelines. ## License [MIT](LICENSE) — free for personal and commercial use. ## Acknowledgments - **[OpenAI Whisper](https://github.com/openai/whisper)** — speech recognition model powering local and cloud transcription - **[whisper.cpp](https://github.com/ggerganov/whisper.cpp)** — high-performance C++ implementation for local processing - **[NVIDIA Parakeet](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3)** — fast multilingual ASR model - **[sherpa-onnx](https://github.com/k2-fsa/sherpa-onnx)** — cross-platform ONNX runtime for Parakeet inference - **[Hugging Face](https://huggingface.co/)** — model hub hosting Whisper, Parakeet, and embedding model weights - **[llama.cpp](https://github.com/ggerganov/llama.cpp)** — local LLM inference for AI text processing - **[Electron](https://www.electronjs.org/)** — cross-platform desktop framework - **[React](https://react.dev/)** — UI component library - **[shadcn/ui](https://ui.shadcn.com/)** — accessible components built on Radix primitives - **[Neon](https://console.neon.tech/app/?promo=openwhispr)** — serverless Postgres powering OpenWhispr Cloud