Tech riderRev. 20 Sept 2026

Millet

Ch 627.0of 82AI Meeting Assistants

1Runs onLinux, Mac
2TranscriptionYes
3Summaries and action itemsYes
4Meeting capturedesktop
5Meeting platformsZoom, Google Meet, Microsoft Teams, Slack, Discord, Signal, Telegram, WhatsApp, Keet, Jitsi Meet, Webex, Skype, FaceTime, GoTo Meeting, RingCentral, Amazon Chime, BlueJeans

5 lines stated Written from the maker's own pages: github.com

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Overview

Millet is ranked #62 of 82 in AI meeting assistants on Specifiction. It runs on Linux, macOS.

Compared on AI meeting assistants

Transcription: Yesgithub.com
Summaries and action items: Yesgithub.com
Meeting capture: desktopgithub.com
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

Facts

Purpose: Millet transcribes meetings, summarizes them, and produces PDF output.github.com · 12 Oct 2026
Audio capture: On Linux, Millet records microphone audio and system audio on separate channels.github.com · 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 · 12 Oct 2026
Summaries: Meeting summaries include an overview, key topics, action items, decisions, and open questions or follow-ups.github.com · 12 Oct 2026
Output formats: Millet can produce TXT, SRT, JSON, Markdown summaries, and PDFs.github.com · 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 · 12 Oct 2026
Integrations: Millet can push transcripts and summaries to any Git repository on a configurable schedule.github.com · 12 Oct 2026
Summary privacy: Summary backends are a hardware-attested Tinfoil TEE or fully local Ollama, and the README says both are private.github.com · 12 Oct 2026
TEE cost: The README estimates Tinfoil summarization at approximately $0.03 per meeting.github.com · 12 Oct 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 · 12 Oct 2026
macOS support: On Apple Silicon macOS, Millet supports post-capture transcription, labeling, and sync, while audio capture requires Linux.github.com · 12 Oct 2026
Limitations: Windows is not supported, and the README says overlapping speech is not handled well.github.com · 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 · 12 Oct 2026
License: The repository identifies Millet as licensed under GPL-3.0.github.com · 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 · 12 Oct 2026
Summary cost: The README lists Tinfoil at about $0.03 per meeting and Ollama as free.github.com · 12 Oct 2026
Exports: Millet can produce .txt, .srt, .json, .summary.md, and .pdf files.github.com · 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 · 12 Oct 2026
Platforms: Full recording and processing are supported on Linux; macOS Apple Silicon supports post-capture transcription, labeling, and sync, while Windows is not supported.github.com · 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 · 12 Oct 2026
License and maturity: The repository identifies Millet as alpha software and provides it under the GPL-3.0 license.github.com · 12 Oct 2026