Attendee and Attention are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Attendee: Open-source, self-hostable meeting bot API that sends bots into Zoom, Google Meet, and Microsoft Teams to capture recordings and transcripts. Attention: AI conversation intelligence platform that records and transcribes sales calls, scores them against frameworks, and automates CRM updates and follow-ups. 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 Attendee when developers embedding meeting recording and transcription into their own saas products matters most, and Attention when sales managers coaching reps with consistent call scorecards matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Open-source, self-hostable meeting bot API that sends bots into Zoom, Google Meet, and Microsoft Teams to capture recordings and transcripts.
Calendar integration and scheduled-meeting supportMeeting recording and transcript retrieval through API endpointsReal-time media pipeline with websocket audio input/output
AI conversation intelligence platform that records and transcribes sales calls, scores them against frameworks, and automates CRM updates and follow-ups.
AI sales agents for follow-ups and next-step automationAutomated coaching scorecards against MEDDIC, BANT and similar frameworksCRM auto-update to reduce manual data entry
Attendee is a free tier with paid upgrades (freemium); Attention is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Unified REST API for deploying bots to Zoom, Google Meet, and Microsoft Teams
Records and transcribes calls across Zoom, Google Meet and Microsoft Teams
Standout feature
Meeting recording and transcript retrieval through API endpoints
Transcription in 100+ languages
Team usage
Real-time media pipeline with websocket audio input/output
Automated coaching scorecards against MEDDIC, BANT and similar frameworks
Integrations
Webhooks for event-driven workflows
AI sales agents for follow-ups and next-step automation
Languages & capture
Calendar integration and scheduled-meeting support
CRM auto-update to reduce manual data entry
Best-fit workflow
Single Docker image self-hosting built on Django, PostgreSQL, and Redis
Integrations with Salesforce, HubSpot, Gmail, Outlook, Slack and Zapier
Best for
Attendee
Choose Attendee if you need developers embedding meeting recording and transcription into their own saas products — strengths include fully open source and designed for convenient self-hosting, keeping meeting data on your own infrastructure.
Attention
Choose Attention if you need sales managers coaching reps with consistent call scorecards — strengths include methodology-based scorecards bring consistency to call coaching.
Pros & cons
Attendee
+ Fully open source and designed for convenient self-hosting, keeping meeting data on your own infrastructure
+ One unified API replaces building and maintaining separate bots per platform
- Developer-oriented API rather than a ready-to-use end-user notetaker app
Attention
+ Methodology-based scorecards bring consistency to call coaching
+ Automates follow-ups and CRM updates from call content
- Focused on sales use cases rather than general meeting notes
FAQ
Is Attendee or Attention better for AI meeting notes?
It depends on your workflow. Attendee is strong for developers embedding meeting recording and transcription into their own saas products, while Attention is strong for sales managers coaching reps with consistent call scorecards. Both transcribe and summarize meetings.
How do Attendee and Attention compare on price?
Attendee is a free tier with paid upgrades and Attention 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 Attendee and Attention?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.