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OpenWhispr/openwhispr · source
Snapshot 0 · 2026-11-04T12:47:27Z · JavaScript · MIT
Content fingerprint
3a29d8a15f4e0d242bfbcf071f0ba7f8f9c3b702f2afd162e5ebfa7fadb4019eGitHub description at capture
Voice-to-text dictation app with local (Nvidia Parakeet/Whisper) and cloud models (BYOK). Privacy-first and available cross-platform.
README at capture
<p align="center">
<img src="src/assets/logo.svg" alt="OpenWhispr" width="120" />
</p>
<h1 align="center">OpenWhispr</h1>
<p align="center">
<a href="https://github.com/OpenWhispr/openwhispr/blob/main/LICENSE"><img src="https://img.shields.io/github/license/OpenWhispr/openwhispr?style=flat" alt="License" /></a>
<img src="https://img.shields.io/badge/platform-macOS%20%7C%20Windows%20%7C%20Linux-lightgrey?style=flat" alt="Platform" />
<a href="https://github.com/OpenWhispr/openwhispr/releases/latest"><img src="https://img.shields.io/github/v/release/OpenWhispr/openwhispr?style=flat&sort=semver" alt="GitHub release" /></a>
<a href="https://github.com/OpenWhispr/openwhispr/releases"><img src="https://img.shields.io/github/downloads/OpenWhispr/openwhispr/total?style=flat&color=blue" alt="Downloads" /></a>
<a href="https://github.com/OpenWhispr/openwhispr/stargazers"><img src="https://img.shields.io/github/stars/OpenWhispr/openwhispr?style=flat" alt="GitHub stars" /></a>
</p>
<p align="center">
The open-source and free alternative to WisprFlow and Granola.<br/>
Privacy-first voice-to-text dictation with AI agents, meeting transcription, and notes. Cross-platform for macOS, Windows, and Linux.
</p>
<p align="center">
<a href="https://openwhispr.com">Website</a> ·
<a href="https://docs.openwhispr.com">Docs</a> ·
<a href="https://github.com/OpenWhispr/openwhispr/releases/latest">Download</a> ·
<a href="https://docs.openwhispr.com/api/overview">API</a> ·
<a href="https://github.com/OpenWhispr/openwhispr/blob/main/CHANGELOG.md">Changelog</a>
</p>
---
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
<p align="center">
<a href="https://console.neon.tech/app/?promo=openwhispr">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://neon.com/brand/neon-logo-dark-color.svg">
<source media="(prefers-color-scheme: light)" srcset="https://neon.com/brand/neon-logo-light-color.svg">
<img width="250" alt="Neon" src="https://neon.com/brand/neon-logo-light-color.svg">
</picture>
</a>
</p>
<p align="center"><a href="https://console.neon.tech/app/?promo=openwhispr">Neon</a> is the serverless Postgres platform powering OpenWhispr Cloud.</p>
## 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