[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-73767":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":23,"hasPages":23,"topics":25,"createdAt":10,"pushedAt":10,"updatedAt":41,"readmeContent":42,"aiSummary":43,"trendingCount":16,"starSnapshotCount":16,"syncStatus":44,"lastSyncTime":45,"discoverSource":46},73767,"openwhispr","OpenWhispr\u002Fopenwhispr","OpenWhispr","Voice-to-text dictation app with local (Nvidia Parakeet\u002FWhisper) and cloud models (BYOK). Privacy-first and available cross-platform.","https:\u002F\u002Fopenwhispr.com",null,"TypeScript",3687,514,6,124,0,77,209,643,231,30.14,"MIT License",false,"main",[26,27,28,29,30,31,32,33,34,35,36,37,38,39,40],"ai","anthropic","cross-platform","gemini","groq","linux","macos","nvidia","open-source","openai","parakeet","speech-to-text","transcribe","whisper","windows","2026-06-12 02:03:17","\u003Cp align=\"center\">\n  \u003Cimg src=\"src\u002Fassets\u002Flogo.svg\" alt=\"OpenWhispr\" width=\"120\" \u002F>\n\u003C\u002Fp>\n\n\u003Ch1 align=\"center\">OpenWhispr\u003C\u002Fh1>\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FOpenWhispr\u002Fopenwhispr\u002Fblob\u002Fmain\u002FLICENSE\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Flicense\u002FOpenWhispr\u002Fopenwhispr?style=flat\" alt=\"License\" \u002F>\u003C\u002Fa>\n  \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Fplatform-macOS%20%7C%20Windows%20%7C%20Linux-lightgrey?style=flat\" alt=\"Platform\" \u002F>\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FOpenWhispr\u002Fopenwhispr\u002Freleases\u002Flatest\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fv\u002Frelease\u002FOpenWhispr\u002Fopenwhispr?style=flat&sort=semver\" alt=\"GitHub release\" \u002F>\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FOpenWhispr\u002Fopenwhispr\u002Freleases\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fdownloads\u002FOpenWhispr\u002Fopenwhispr\u002Ftotal?style=flat&color=blue\" alt=\"Downloads\" \u002F>\u003C\u002Fa>\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FOpenWhispr\u002Fopenwhispr\u002Fstargazers\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002FOpenWhispr\u002Fopenwhispr?style=flat\" alt=\"GitHub stars\" \u002F>\u003C\u002Fa>\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  The open-source and free alternative to WisprFlow and Granola.\u003Cbr\u002F>\n  Privacy-first voice-to-text dictation with AI agents, meeting transcription, and notes. Cross-platform for macOS, Windows, and Linux.\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fopenwhispr.com\">Website\u003C\u002Fa> ·\n  \u003Ca href=\"https:\u002F\u002Fdocs.openwhispr.com\">Docs\u003C\u002Fa> ·\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FOpenWhispr\u002Fopenwhispr\u002Freleases\u002Flatest\">Download\u003C\u002Fa> ·\n  \u003Ca href=\"https:\u002F\u002Fdocs.openwhispr.com\u002Fapi\u002Foverview\">API\u003C\u002Fa> ·\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FOpenWhispr\u002Fopenwhispr\u002Fblob\u002Fmain\u002FCHANGELOG.md\">Changelog\u003C\u002Fa>\n\u003C\u002Fp>\n\n---\n\nOpenWhispr 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.\n\n## Download\n\n| Platform | Download |\n|----------|----------|\n| macOS (Apple Silicon) | [`.dmg`](https:\u002F\u002Fgithub.com\u002FOpenWhispr\u002Fopenwhispr\u002Freleases\u002Flatest) |\n| macOS (Intel) | [`.dmg`](https:\u002F\u002Fgithub.com\u002FOpenWhispr\u002Fopenwhispr\u002Freleases\u002Flatest) |\n| Windows | [`.exe`](https:\u002F\u002Fgithub.com\u002FOpenWhispr\u002Fopenwhispr\u002Freleases\u002Flatest) |\n| Linux | [`.AppImage`](https:\u002F\u002Fgithub.com\u002FOpenWhispr\u002Fopenwhispr\u002Freleases\u002Flatest) \u002F [`.deb`](https:\u002F\u002Fgithub.com\u002FOpenWhispr\u002Fopenwhispr\u002Freleases\u002Flatest) \u002F [`.rpm`](https:\u002F\u002Fgithub.com\u002FOpenWhispr\u002Fopenwhispr\u002Freleases\u002Flatest) |\n\n## Features\n\n- **Voice dictation** — global hotkey to dictate into any app with automatic pasting\n- **AI agent** — talk to GPT-5, Claude, Gemini, Groq, or local models with a named voice assistant\n- **Meeting transcription** — auto-detect Zoom, Teams, and FaceTime calls with live speaker diarization, voice fingerprinting, and Google Calendar integration\n- **Local speaker diarization** — on-device speaker labelling with voice fingerprint recognition across meetings, no cloud required\n- **Notes** — create, organize, and search notes with folders, semantic search, cloud sync, and AI actions\n- **Local or cloud — your choice** — all core features (transcription, AI reasoning, speaker diarization, semantic search) work with local models or cloud providers\n- **Public API & MCP** — manage notes and transcriptions programmatically or connect your AI assistant via the [MCP server](https:\u002F\u002Fdocs.openwhispr.com\u002Fintegrations\u002Fmcp)\n\n## Quick start\n\n```bash\ngit clone https:\u002F\u002Fgithub.com\u002FOpenWhispr\u002Fopenwhispr.git\ncd openwhispr\nnpm install\nnpm run dev\n```\n\nRequires Node.js 24+. See the [full documentation](https:\u002F\u002Fdocs.openwhispr.com\u002Fquickstart) for setup guides, platform-specific instructions, and build details.\n\n## Documentation\n\nVisit **[docs.openwhispr.com](https:\u002F\u002Fdocs.openwhispr.com)** for:\n\n- [Getting started](https:\u002F\u002Fdocs.openwhispr.com\u002Fquickstart)\n- [Platform guides](https:\u002F\u002Fdocs.openwhispr.com\u002Fplatform\u002Fmacos) (macOS, Windows, Linux)\n- [API reference](https:\u002F\u002Fdocs.openwhispr.com\u002Fapi\u002Foverview)\n- [MCP server setup](https:\u002F\u002Fdocs.openwhispr.com\u002Fintegrations\u002Fmcp)\n- [Troubleshooting](https:\u002F\u002Fdocs.openwhispr.com\u002Ftroubleshooting)\n\n## Tech stack\n\nReact 19, TypeScript, Tailwind CSS v4, Electron 41, better-sqlite3, whisper.cpp, sherpa-onnx, shadcn\u002Fui\n\n## Star History\n\n[![Star History Chart](https:\u002F\u002Fapi.star-history.com\u002Fsvg?repos=OpenWhispr\u002Fopenwhispr&type=date&legend=top-left)](https:\u002F\u002Fwww.star-history.com\u002F#OpenWhispr\u002Fopenwhispr&type=date&legend=top-left)\n\n## Sponsors\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fconsole.neon.tech\u002Fapp\u002F?promo=openwhispr\">\n    \u003Cpicture>\n      \u003Csource media=\"(prefers-color-scheme: dark)\" srcset=\"https:\u002F\u002Fneon.com\u002Fbrand\u002Fneon-logo-dark-color.svg\">\n      \u003Csource media=\"(prefers-color-scheme: light)\" srcset=\"https:\u002F\u002Fneon.com\u002Fbrand\u002Fneon-logo-light-color.svg\">\n      \u003Cimg width=\"250\" alt=\"Neon\" src=\"https:\u002F\u002Fneon.com\u002Fbrand\u002Fneon-logo-light-color.svg\">\n    \u003C\u002Fpicture>\n  \u003C\u002Fa>\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\u003Ca href=\"https:\u002F\u002Fconsole.neon.tech\u002Fapp\u002F?promo=openwhispr\">Neon\u003C\u002Fa> is the serverless Postgres platform powering OpenWhispr Cloud.\u003C\u002Fp>\n\n## Contributing\n\nWe welcome contributions. Fork the repo, create a feature branch, and open a pull request. See the [contributing guide](https:\u002F\u002Fdocs.openwhispr.com\u002Fcontributing) for development setup and guidelines.\n\n## License\n\n[MIT](LICENSE) — free for personal and commercial use.\n\n## Acknowledgments\n\n- **[OpenAI Whisper](https:\u002F\u002Fgithub.com\u002Fopenai\u002Fwhisper)** — speech recognition model powering local and cloud transcription\n- **[whisper.cpp](https:\u002F\u002Fgithub.com\u002Fggerganov\u002Fwhisper.cpp)** — high-performance C++ implementation for local processing\n- **[NVIDIA Parakeet](https:\u002F\u002Fhuggingface.co\u002Fnvidia\u002Fparakeet-tdt-0.6b-v3)** — fast multilingual ASR model\n- **[sherpa-onnx](https:\u002F\u002Fgithub.com\u002Fk2-fsa\u002Fsherpa-onnx)** — cross-platform ONNX runtime for Parakeet inference\n- **[Hugging Face](https:\u002F\u002Fhuggingface.co\u002F)** — model hub hosting Whisper, Parakeet, and embedding model weights\n- **[llama.cpp](https:\u002F\u002Fgithub.com\u002Fggerganov\u002Fllama.cpp)** — local LLM inference for AI text processing\n- **[Electron](https:\u002F\u002Fwww.electronjs.org\u002F)** — cross-platform desktop framework\n- **[React](https:\u002F\u002Freact.dev\u002F)** — UI component library\n- **[shadcn\u002Fui](https:\u002F\u002Fui.shadcn.com\u002F)** — accessible components built on Radix primitives\n- **[Neon](https:\u002F\u002Fconsole.neon.tech\u002Fapp\u002F?promo=openwhispr)** — serverless Postgres powering OpenWhispr Cloud\n","OpenWhispr 是一款将语音转换为文本的听写应用，支持本地（如 NVIDIA Parakeet\u002FWhisper）和云端模型。其核心功能包括全局热键启动、AI 代理对话、会议转录以及本地扬声器识别等，特别强调用户隐私保护，所有处理过程均可在设备上完成而不需上传数据。该软件采用 TypeScript 编写，遵循 MIT 许可协议，适用于需要高效语音输入但又重视数据安全性的跨平台场景，包括 macOS、Windows 和 Linux 操作系统。",2,"2026-06-11 03:47:18","high_star"]