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Millet review

Free#46 of 81 in AI Meeting Assistants

A local, open-source meeting assistant for technical desktop users.

6.0/10Editor score
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Millet is an open-source desktop meeting assistant for people who want local capture, transcription, summaries, and structured exports. It records microphone and system audio, uses WhisperX for speech transcription, separates speakers with pyannote-audio, and labels participants as YOU or REMOTE. Its audience is technical users on Linux or macOS who prefer a local workflow and need detailed meeting records rather than a browser-first assistant.

The strongest part of Millet is the depth of its local meeting pipeline. It offers word-level timestamps, speaker diarization, voiceprint recognition across meetings, screen-cue-frame summarization, and action-item extraction with owners when they are mentioned. Summaries can use local Ollama or hardware-attested Tinfoil backends. The output options are also broad: transcripts and summaries can be exported as PDF, TXT, SRT, JSON, or Markdown, while Git repository meeting synchronization supports a development-oriented workflow.

Millet captures audio at the operating-system level from applications including Zoom, Google Meet, Microsoft Teams, Slack, Discord, Signal, Telegram, WhatsApp, Jitsi Meet, Webex, Skype, FaceTime, GoTo Meeting, and RingCentral. That approach gives it broad application reach without making it a general-purpose cross-platform service, but the platform limits matter: Linux supports recording and the full pipeline, while macOS Apple Silicon is positioned for post-capture processing. The repository marks the project Alpha, so users who need mobile or browser coverage, calendar-driven workflows, or a more mature general-purpose assistant should look elsewhere. Millet fits privacy-focused technical users who value local processing and detailed exports over platform breadth.

Millet pros and cons

  • Where it wins
    • Local Ollama and hardware-attested Tinfoil summary backends
    • WhisperX transcription with word-level timestamps and speaker labels
    • Exports to PDF, TXT, SRT, JSON, and Markdown
  • Where it doesn't
    • Desktop coverage is limited to macOS and Linux
    • macOS Apple Silicon supports post-capture processing
    • The project is marked Alpha in its repository

Millet fact sheet, pricing and score →

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