Slipbox and Vexa are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Slipbox: Privacy-first, bot-free AI meeting companion that captures system audio locally on Mac and Windows and turns it into transcripts, notes, and 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, so the right pick depends on team size, budget, and which meeting workflows you automate.
For ai-meeting-assistants workflows, shortlist Slipbox when consultants and researchers keeping private records of client and interview calls 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.
Privacy-first, bot-free AI meeting companion that captures system audio locally on Mac and Windows and turns it into transcripts, notes, and summaries.
AI summaries from customizable templates, tagged notes, and searchable recordsAutomatic meeting detection across Zoom, Teams, Meet, Slack, FaceTime and moreBot-free capture of system audio plus microphone directly on the device
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
Slipbox 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.
Bot-free capture of system audio plus microphone directly on the device
API-first design with REST and WebSocket interfaces
Standout feature
On-device, real-time transcription with optional hybrid cloud features
Real-time, speaker-diarized transcription with low latency
Team usage
AI summaries from customizable templates, tagged notes, and searchable records
Deployable bots that join meetings via URL to capture audio
Integrations
Automatic meeting detection across Zoom, Teams, Meet, Slack, FaceTime and more
Open-source (Apache 2.0) with self-hosted or managed cloud options
Languages & capture
Bring-your-own LLM API key or local model support (e.g. Ollama)
Data storage with query and export capabilities
Best-fit workflow
Speaker identification, semantic search, and Obsidian integration
Supports Google Meet and Microsoft Teams (Zoom planned)
Best for
Slipbox
Choose Slipbox if you need consultants and researchers keeping private records of client and interview calls — strengths include no bot joins the call, so capture is discreet across many platforms.
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
Slipbox
+ No bot joins the call, so capture is discreet across many platforms
+ Audio is processed locally, keeping sensitive meeting content on the device
- Desktop-centric, so capture depends on running the app on your own machine
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 Slipbox or Vexa better for AI meeting notes?
It depends on your workflow. Slipbox is strong for consultants and researchers keeping private records of client and interview calls, while Vexa is strong for building custom meeting-intelligence features into a product. Both transcribe and summarize meetings.
How do Slipbox and Vexa compare on price?
Slipbox 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 Slipbox and Vexa?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.