minutes
Local-first meeting notes your AI coding agents can query over MCP.
Parrot ist ein Open-Source-Projekt aus der Kategorie Audio von turantekin (turantekin/Parrot auf GitHub). Es hat 96 Sterne auf GitHub und 21 Forks, wird unter der Lizenz GPL-3.0 veröffentlicht und wurde zuletzt am 1. Oktober 2026 auf GitHub aktualisiert.
Meeting recorder designed for your Mac with a live AI copilot.
Change the config to match your workflow, then run it daily.
Pull the latest changes to stay current with fixes.
The README documents setup; start with the install section.
Decide what you want Parrot to do first — meeting recorder designed for your Mac with a live AI copilot. On-devi.
Working ai copilot support built in.
Working call recording support built in.
Works with Anthropic Claude models.
Your data stays on your machine.
Feels native on Apple platforms.
Free to use; derivatives stay open.
Download the source and move into the project folder.
git clone https://github.com/turantekin/Parrot.git
cd parrotBuild the Swift package.
swift buildRun the built product.
.build/debug/app # product name may varyYes, but note the copyleft: it is GPL-3.0 licensed, so distributed derivatives must stay open.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under GPL-3.0. Read the LICENSE file in the repo for the exact terms.
That depends on the feature. Local-capable parts run offline; anything calling a cloud API needs a connection. Check the docs.
Local-first meeting notes your AI coding agents can query over MCP.
Converts text to speech in realtime
Obs-localvocal — obs plugin for local speech recognition and captioning, open-source.
AWS sample app for live meeting transcription and AI summaries.
Live captions and AI meeting review from any system audio — local-first.
Native desktop UI for live Whisper transcription and translation.
Die anderen Projekte der Kategorie Audio mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls Parrot nicht das Richtige ist.
利用 AI 大模型和自动化工作流,根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
Verwandte Projekte der Kategorie Audio im Katalog, die Parrot bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Self-hostable AI-driven transcription platform with speaker diarization.
Free, open source, 100% offline AI dictation for Windows & macOS.
Claude Code WhatsApp channel add-on — run AI directly from WhatsApp.
Free, open source, 100% offline AI text-to-speech for macOS, Windows & Linux.
Local-first AI meeting minutes workbench: FunASR speech-to-text + Ollama LLM.
MCP server that turns any video — YouTube.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.