
Private meeting records, transcribed on your Mac
This project is scheduled for launch
Launch date: Thursday, November 26, 2026, 08:00 UTC
Vemoir is a native macOS app that turns every meeting into a trustworthy record. It captures mic and system audio from the menu bar, transcribes locally, and produces minutes, decisions, actions and follow-ups β all kept on your Mac by default.
Every meeting becomes a record you can trust.
Choose from on-device models like Parakeet, Whisper and Qwen, or connect a cloud provider with your own API key. Speaker profiles, project glossaries and mic noise isolation keep records accurate, while chat lets you query the transcript and draft artifacts.
| Feature | Details |
|---|---|
| Capture | Menu-bar recording, mic + system audio |
| Transcription | Local models, 25 languages |
| Privacy | Local by default, optional export |
Comments will be available once the project is launched.
Maker
Aurum Avis Labs
Vemoir is a native macOS app that turns every meeting into a trustworthy record. It captures mic and system audio straight from the menu bar, transcribes locally, and produces minutes, decisions, actions and follow-ups β all kept on your Mac by default. Rather than acting as a meeting bot that joins your call, Vemoir stays a real product surface you control: projects, meetings, live recordings, manual notes and summarized outputs live together in one native Mac workspace.
Recording starts from the menu bar with a live recording indicator, so you don't have to switch tools or interrupt the call. Vemoir captures both your microphone and system audio in one pass.
Speech becomes a timestamped local transcript while the meeting continues, with support for 25 languages. You can use the default local setup, pick advanced on-device models like Parakeet, Whisper or Qwen, or connect a cloud provider with your own API key.
Vemoir separates speakers, decisions, actions and follow-up context, then summarizes everything into a complete record. You can also upload existing audio in formats like MP3, M4A, WAV, AIFF, CAF, FLAC and more to generate the same structured output after the fact.
Chat works across the transcript, manual notes, decisions and project context, answering from the meeting record and drafting artifacts without exposing raw audio. Your own in-meeting notes are folded into the AI-enhanced version.
Every meeting becomes a record you can trust.
That promise is backed by architecture, not just messaging. Audio, transcripts and prompts remain on your Mac during inference, and local models download only when you ask. When you do want cloud reasoning, provider models stay opt-in through your own API key β so the default path is private, and the cloud path is a deliberate choice.
You want meeting notes you can actually rely on without handing your audio to a third party. Vemoir suits anyone who values local-first processing, structured decisions and actions over raw transcripts, and the flexibility to bring their own models or API keys when a specific workflow calls for it.
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