openwhispr README

The project's README from github.com/OpenWhispr/openwhispr. As one markdown file: README.md.

OpenWhispr

OpenWhispr

License Platform GitHub release Downloads GitHub stars

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.

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 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
macOS (Intel) * .dmg
Windows .exe
Linux .AppImage / .deb / .rpm / .tar.gz

* 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. Meetings still record and transcribe normally, and notes search falls back to keyword matching instead of semantic search.

Features

Quick start

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.

The commands above run the desktop application, which remains at the repository root. The Expo mobile application lives in openwhispr-mobile with its own dependencies, lockfile, build configuration, and release process. See the mobile README for its setup instructions.

Documentation

Visit docs.openwhispr.com for:

Repo examples:

Tech stack

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

Star History

Star History Chart

Sponsors

Neon

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 for development setup and guidelines.

License

MIT — free for personal and commercial use.

Acknowledgments

openwhispr (OpenWhispr/openwhispr)

Searching Database…

这是什么?OpenWhispr 是一款开源、隐私优先的桌面语音转文字听写应用。按下快捷键、开口说话,文字就会出现在光标处,还有 AI 语音助手、会议转录和笔记等附加功能。
怎么安装和运行它?下载适合你操作系统的预构建版本——macOS .dmg、Windows .exe 或 Linux .AppImage/.deb/.rpm/.tar.gz——或者从源码运行(需要 Node.js 24+);完整的安装指南见 docs.openwhispr.com。
AI 功能需要 API 密钥吗?核心的离线听写不需要 API 密钥,因为它完全可以基于 Whisper 或 NVIDIA Parakeet 等本地模型运行。至于云端 AI 智能体功能(GPT-5、Claude、Gemini、Groq、OpenRouter)或更快的云端转录,则需要自带密钥(BYOK)。
在 Intel 芯片的 Mac 上功能都一样吗?不完全一样——在 Intel Mac 上,实时说话人识别和声纹功能无法使用,因为它们依赖的 ONNX Runtime 已停止提供 macOS x86_64 二进制文件。会议仍能正常录音和转录,但笔记搜索会退回到关键词匹配,而不是语义搜索。
我的音频会离开我的设备吗?如果你选择本地模型就不会——完全离线的转录会把音频留在设备上,而且这款应用不收集任何数据,也没有遥测。
会议转录时会发生什么?OpenWhispr 会自动检测 Zoom、Teams 和 FaceTime 通话,借助声纹跨会议提供实时说话人分离,还支持与 Google、Microsoft 或 Apple 日历集成。
我能通过 MCP 接入自己的 AI 助手吗?可以——OpenWhispr 内置了 MCP 服务器,你可以用编程方式管理笔记和转录,或者接入任何支持 Model Context Protocol 的助手。
能转录现有的音频或视频文件吗?可以,你可以拖入文件、批量上传,或粘贴 YouTube/音频链接进行转录,还可以选择开启说话人检测。
有移动版吗?有——openwhispr-mobile 文件夹里有一个独立的基于 Expo 的移动应用,拥有自己的依赖、lockfile 和发布流程,与桌面应用相互独立。
What are similar projects?SCM, meetily, call.md, screenpipe, lipflow, get-it, holaOS, laya
Creator
OpenWhispr
Size
161.4 MB
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Age
1y
Commits · 90 Days