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 en este repositorio
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.
Resumen de Tools
Lo que la gente pregunta sobre openwhispr
¿Qué es OpenWhispr/openwhispr?
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OpenWhispr/openwhispr es tools para el ecosistema de Claude AI. Voice-to-text dictation app with local (Nvidia Parakeet/Whisper) and cloud models (BYOK). Privacy-first and available cross-platform. Tiene 3.7k estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala openwhispr?
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Puedes instalar openwhispr clonando el repositorio (https://github.com/OpenWhispr/openwhispr) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar OpenWhispr/openwhispr?
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Nuestro agente de seguridad ha analizado OpenWhispr/openwhispr y le ha asignado un Trust Score de 100/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene OpenWhispr/openwhispr?
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OpenWhispr/openwhispr es mantenido por OpenWhispr. La última actividad registrada en GitHub es de today, con 205 issues abiertos.
¿Hay alternativas a openwhispr?
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Sí. En ClaudeWave puedes explorar tools similares en /categories/tools, ordenados por popularidad o actividad reciente.
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