Pluely and Vexa are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Pluely: A lightweight open-source desktop AI meeting assistant that captures system audio for live transcription and on-call answers without joining as a visible bot. 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 Pluely when getting live transcription and ai assistance during meetings without a visible bot in the call 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.
A lightweight open-source desktop AI meeting assistant that captures system audio for live transcription and on-call answers without joining as a visible bot.
Always-on-top overlay app for macOS, Windows, and LinuxBot-free capture of system audio and microphone for live transcriptionBring-your-own-key support for many LLMs (OpenAI, Claude, Gemini, Grok, Mistral, Cohere, Ollama, custom)
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
Pluely 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 and microphone for live transcription
API-first design with REST and WebSocket interfaces
Standout feature
Always-on-top overlay app for macOS, Windows, and Linux
Real-time, speaker-diarized transcription with low latency
Team usage
Bring-your-own-key support for many LLMs (OpenAI, Claude, Gemini, Grok, Mistral, Cohere, Ollama, custom)
Deployable bots that join meetings via URL to capture audio
Integrations
Multiple speech-to-text providers (Whisper, Deepgram, ElevenLabs, Groq, Azure, and others)
Open-source (Apache 2.0) with self-hosted or managed cloud options
Languages & capture
Lightweight (~10MB) and fast to launch
Data storage with query and export capabilities
Best-fit workflow
Open source under GPL with optional local processing via Ollama
Supports Google Meet and Microsoft Teams (Zoom planned)
Best for
Pluely
Choose Pluely if you need getting live transcription and ai assistance during meetings without a visible bot in the call — strengths include free and open source with fully inspectable code.
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
Pluely
+ Free and open source with fully inspectable code
+ Bot-free and can run locally for privacy when paired with local models
- Requires bringing your own API keys, adding setup effort and external usage costs
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 Pluely or Vexa better for AI meeting notes?
It depends on your workflow. Pluely is strong for getting live transcription and ai assistance during meetings without a visible bot in the call, while Vexa is strong for building custom meeting-intelligence features into a product. Both transcribe and summarize meetings.
How do Pluely and Vexa compare on price?
Pluely 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 Pluely and Vexa?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.