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Millet

On the record

Audio capture
On Linux, Millet records microphone audio and system audio on separate channels.github.com · read 12 Oct 2026
Desktop interface
The GTK3 GUI provides record and stop controls, a timer, status indicators, and shortcuts to the resulting PDF and session folder.github.com · read 12 Oct 2026
Exports
Millet can produce .txt, .srt, .json, .summary.md, and .pdf files.github.com · read 12 Oct 2026
Integrations
Millet can push transcripts and summaries to any Git repository on a configurable schedule.github.com · read 12 Oct 2026
Intended users
The README describes Millet as a tool for recording and processing meetings, including with browser-based meeting apps and desktop clients.github.com · read 12 Oct 2026
Languages
The README says Whisper large-v3-turbo supports 99 languages and lists English, German, French, Spanish, Turkish, and Farsi as tested languages.github.com · read 12 Oct 2026
License
The repository identifies Millet as licensed under GPL-3.0.github.com · read 12 Oct 2026
License and maturity
The repository identifies Millet as alpha software and provides it under the GPL-3.0 license.github.com · read 12 Oct 2026
Limitations
Windows is not supported, and the README says overlapping speech is not handled well.github.com · read 12 Oct 2026
macOS support
On Apple Silicon macOS, Millet supports post-capture transcription, labeling, and sync, while audio capture requires Linux.github.com · read 12 Oct 2026
Meeting app compatibility
The README says Millet works with call apps that play audio through system speakers, including Zoom, Google Meet, Microsoft Teams, and Webex.github.com · read 12 Oct 2026
Meeting capture
desktopgithub.com · read 20 Sep 2026
Meeting platforms
Zoom,Google Meet,Microsoft Teams,Slack,Discord,Signal,Telegram,WhatsApp,Keet,Jitsi Meet,Webex,Skype,FaceTime,GoTo Meeting,RingCentral,Amazon Chime,BlueJeansgithub.com · read 20 Sep 2026
Offline operation
After models are downloaded, transcription, diarization, and PDF output work offline; summaries require either the networked TEE or local Ollama.github.com · read 12 Oct 2026
Output formats
Millet can produce TXT, SRT, JSON, Markdown summaries, and PDFs.github.com · read 12 Oct 2026
Private processing
Summary generation supports a hardware-attested Tinfoil TEE or a fully local Ollama model; the README says both are private backends.github.com · read 12 Oct 2026
Purpose
Millet transcribes meetings, summarizes them, and produces PDF output.github.com · read 12 Oct 2026
Requirements
Speaker diarization requires a free Hugging Face account and token, and the README recommends an NVIDIA GPU with at least 8 GB of VRAM while also allowing slower CPU processing.github.com · read 12 Oct 2026

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