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SPECIFICTION
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Millet

github.com

macOSLinux
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Spec score 7.3 #74 of 82 in AI Meeting Assistants

Spec sheet

Purpose
Millet transcribes meetings, summarizes them, and produces PDF output.Read 12 Oct 2026 · github.com
Intended users
The README describes Millet as a tool for recording and processing meetings, including with browser-based meeting apps and desktop clients.Read 12 Oct 2026 · github.com
Platforms
Full recording and processing are supported on Linux; macOS Apple Silicon supports post-capture transcription, labeling, and sync, while Windows is not supported.Read 12 Oct 2026 · github.com
Integrations
Millet can push transcripts and summaries to any Git repository on a configurable schedule.Read 12 Oct 2026 · github.com
License
The repository identifies Millet as licensed under GPL-3.0.Read 12 Oct 2026 · github.com
Audio capture
On Linux, Millet records microphone audio and system audio on separate channels.Read 12 Oct 2026 · github.com
Desktop interface
The GTK3 GUI provides record and stop controls, a timer, status indicators, and shortcuts to the resulting PDF and session folder.Read 12 Oct 2026 · github.com
Exports
Millet can produce .txt, .srt, .json, .summary.md, and .pdf files.Read 12 Oct 2026 · github.com
Languages
The README says Whisper large-v3-turbo supports 99 languages and lists English, German, French, Spanish, Turkish, and Farsi as tested languages.Read 12 Oct 2026 · github.com
License and maturity
The repository identifies Millet as alpha software and provides it under the GPL-3.0 license.Read 12 Oct 2026 · github.com
Limitations
Windows is not supported, and the README says overlapping speech is not handled well.Read 12 Oct 2026 · github.com
macOS support
On Apple Silicon macOS, Millet supports post-capture transcription, labeling, and sync, while audio capture requires Linux.Read 12 Oct 2026 · github.com
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.Read 12 Oct 2026 · github.com
Meeting capture
desktopRead 20 Sep 2026 · github.com
Meeting platforms
Zoom,Google Meet,Microsoft Teams,Slack,Discord,Signal,Telegram,WhatsApp,Keet,Jitsi Meet,Webex,Skype,FaceTime,GoTo Meeting,RingCentral,Amazon Chime,BlueJeansRead 20 Sep 2026 · github.com
Offline operation
After models are downloaded, transcription, diarization, and PDF output work offline; summaries require either the networked TEE or local Ollama.Read 12 Oct 2026 · github.com
Output formats
Millet can produce TXT, SRT, JSON, Markdown summaries, and PDFs.Read 12 Oct 2026 · github.com
Private processing
Summary generation supports a hardware-attested Tinfoil TEE or a fully local Ollama model; the README says both are private backends.Read 12 Oct 2026 · github.com
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.Read 12 Oct 2026 · github.com
Summaries
Meeting summaries include an overview, key topics, action items, decisions, and open questions or follow-ups.Read 12 Oct 2026 · github.com
Summaries and action items
YesRead 20 Sep 2026 · github.com
Summary cost
The README lists Tinfoil at about $0.03 per meeting and Ollama as free.Read 12 Oct 2026 · github.com
Summary privacy
Summary backends are a hardware-attested Tinfoil TEE or fully local Ollama, and the README says both are private.Read 12 Oct 2026 · github.com
TEE cost
The README estimates Tinfoil summarization at approximately $0.03 per meeting.Read 12 Oct 2026 · github.com
Transcription
It uses WhisperX for transcription and word-level timestamps, with pyannote-audio for speaker diarization.Read 12 Oct 2026 · github.com

Where Specifiction places it

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