Voice-to-text dictation app with local (Nvidia Parakeet/Whisper) and cloud models (BYOK). Privacy-first and available cross-platform.
OpenWhispr is a cross-platform desktop dictation and transcription application built with Electron, React 19, and TypeScript that converts spoken audio into text, notes, and AI agent actions. A global hotkey triggers voice capture and automatically pastes transcribed text at the cursor in any application. For speech recognition, users can choose between fully offline engines, specifically whisper.cpp and NVIDIA Parakeet via sherpa-onnx, or cloud providers including OpenAI, Groq, and Gemini, with audio never leaving the device in local mode. The AI agent feature routes voice queries directly to Claude (alongside GPT-5, Gemini, and others) using bring-your-own-key credentials. Meeting transcription covers Zoom, Teams, and FaceTime with live speaker diarization and voice fingerprinting that works entirely on-device. Notes support semantic search and AI-driven actions. Claude Desktop and other MCP-compatible assistants can connect via the built-in MCP server to manage notes and transcriptions programmatically. Developers, privacy-conscious users, and teams wanting no-telemetry meeting records are the primary audience.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
- ✓Mature repo (>1y old)
git clone https://github.com/OpenWhispr/openwhispr && cp openwhispr/*.md ~/.claude/agents/2 items in this repository
Use this skill when building integrations with the OpenWhispr REST API, calling OpenWhispr endpoints, managing notes/folders/transcriptions programmatically, or connecting to the OpenWhispr MCP server. Covers authentication, all V1 endpoints, pagination, rate limits, error handling, and the remote MCP server.
Use this skill whenever the user wants to operate on OpenWhispr notes, folders, transcriptions, or audio from a terminal or shell. The OpenWhispr CLI (`openwhispr` binary, npm package `@openwhispr/cli`) talks to either the local desktop app or the cloud API and exposes every operation needed for managing notes, folders, transcriptions, audio, plus auth and config. Trigger this skill when the user mentions "openwhispr cli", running shell commands against OpenWhispr, automating note workflows, cleaning up a transcription, building agent integrations against OpenWhispr, or scripting any OpenWhispr operation — even if they don't say "CLI" explicitly.
Subagents overview
<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 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.
## 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.
## 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.
## 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
What people ask about openwhispr
What is OpenWhispr/openwhispr?
+
OpenWhispr/openwhispr is subagents for the Claude AI ecosystem. Voice-to-text dictation app with local (Nvidia Parakeet/Whisper) and cloud models (BYOK). Privacy-first and available cross-platform. It has 8k GitHub stars and its last recorded update is dated 2026-09-11.
How do I install openwhispr?
+
You can install openwhispr by cloning the repository (https://github.com/OpenWhispr/openwhispr) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is OpenWhispr/openwhispr safe to use?
+
Our security agent has analyzed OpenWhispr/openwhispr and assigned a Trust Score of 100/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains OpenWhispr/openwhispr?
+
OpenWhispr/openwhispr is maintained by OpenWhispr. The last recorded GitHub activity is dated 2026-09-11, with 341 open issues.
Are there alternatives to openwhispr?
+
Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.
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