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
- ✓Documented (README)
git clone https://github.com/OpenWhispr/openwhispr2 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.
Tools overview
What people ask about openwhispr
What is OpenWhispr/openwhispr?
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OpenWhispr/openwhispr is tools 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 3.7k GitHub stars and was last updated today.
How do I install openwhispr?
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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?
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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?
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OpenWhispr/openwhispr is maintained by OpenWhispr. The last recorded GitHub activity is from today, with 205 open issues.
Are there alternatives to openwhispr?
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Yes. On ClaudeWave you can browse similar tools at /categories/tools, sorted by popularity or recent activity.
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