Lark Minutes and Vexa are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Lark Minutes: The AI meeting transcription and notes feature within the Lark productivity suite, turning video meetings into searchable transcripts with summaries. Vexa: API-first, open-source meeting transcription platform that deploys bots to capture real-time, speaker-labeled transcripts for developers. They overlap on ai-meeting-assistants, ai-transcription, so the right pick depends on team size, budget, and which meeting workflows you automate.
For ai-meeting-assistants, ai-transcription workflows, shortlist Lark Minutes when lark users transcribing and summarizing internal video meetings matters most, and Vexa when building custom meeting-intelligence features into a product matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
The AI meeting transcription and notes feature within the Lark productivity suite, turning video meetings into searchable transcripts with summaries.
AI-generated meeting summaries via Lark's AI Meeting NotesAutomatic transcription of video meetings into searchable transcriptsCollaborative transcripts with comments and emoji reactions on specific parts
API-first, open-source meeting transcription platform that deploys bots to capture real-time, speaker-labeled transcripts for developers.
API-first design with REST and WebSocket interfacesData storage with query and export capabilitiesDeployable bots that join meetings via URL to capture audio
Lark Minutes is a free tier with paid upgrades (freemium); Vexa is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Automatic transcription of video meetings into searchable transcripts
API-first design with REST and WebSocket interfaces
Standout feature
AI-generated meeting summaries via Lark's AI Meeting Notes
Real-time, speaker-diarized transcription with low latency
Team usage
Collaborative transcripts with comments and emoji reactions on specific parts
Deployable bots that join meetings via URL to capture audio
Integrations
One-click translation of meeting minutes between languages
Open-source (Apache 2.0) with self-hosted or managed cloud options
Languages & capture
Playback controls including custom speed and silence skipping
Data storage with query and export capabilities
Best-fit workflow
Integrated within the Lark suite alongside calendar, chat, and documents
Supports Google Meet and Microsoft Teams (Zoom planned)
Best for
Lark Minutes
Choose Lark Minutes if you need lark users transcribing and summarizing internal video meetings — strengths include built into the lark productivity suite, keeping notes with calendar and docs.
Vexa
Choose Vexa if you need building custom meeting-intelligence features into a product — strengths include programmable infrastructure for embedding meeting transcription into products.
Pros & cons
Lark Minutes
+ Built into the Lark productivity suite, keeping notes with calendar and docs
+ Collaborative, searchable transcripts rather than static files
- Tied to the Lark ecosystem rather than offered as a standalone product
Vexa
+ Programmable infrastructure for embedding meeting transcription into products
+ Open-source and self-hostable for control over data and deployment
- Developer-oriented rather than a ready-to-use end-user notetaking app
FAQ
Is Lark Minutes or Vexa better for AI meeting notes?
It depends on your workflow. Lark Minutes is strong for lark users transcribing and summarizing internal video meetings, while Vexa is strong for building custom meeting-intelligence features into a product. Both transcribe and summarize meetings.
How do Lark Minutes and Vexa compare on price?
Lark Minutes is a free tier with paid upgrades and Vexa is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Can I use both Lark Minutes and Vexa?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.