MeetingBot and VexaScribe are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. MeetingBot: Open-source meeting bot API that sends bots into Google Meet, Microsoft Teams, and Zoom to record calls, deployable to your own AWS infrastructure. VexaScribe: AI transcription service for uploaded files and live meetings, with speaker detection, summaries, and subtitle exports. 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 MeetingBot when developers building products that need automated meeting recording across google meet, teams, and zoom matters most, and VexaScribe when transcribing recorded interviews and podcasts into editable text matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Open-source meeting bot API that sends bots into Google Meet, Microsoft Teams, and Zoom to record calls, deployable to your own AWS infrastructure.
Bot deployment to Google Meet, Microsoft Teams, and ZoomInfrastructure-as-code self-hosting via Terraform on AWSREST API for managing bots and accessing recordings, transcripts, and metadata
AI transcription service for uploaded files and live meetings, with speaker detection, summaries, and subtitle exports.
AI summaries for meeting, interview, sales, lecture, and podcast formatsAutomatic speaker detection and labeling with timestampsBuilt-in translation into many languages
MeetingBot is a free tier with paid upgrades (freemium); VexaScribe is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Bot deployment to Google Meet, Microsoft Teams, and Zoom
File upload transcription plus a bot that joins Zoom, Meet, and Teams meetings
Standout feature
REST API for managing bots and accessing recordings, transcripts, and metadata
Automatic speaker detection and labeling with timestamps
Team usage
Visual dashboard for bot management and data viewing
AI summaries for meeting, interview, sales, lecture, and podcast formats
Integrations
Infrastructure-as-code self-hosting via Terraform on AWS
Subtitle exports in SRT and VTT plus TXT, DOCX, and JSON
Languages & capture
Scalable AWS ECS-based deployment
Built-in translation into many languages
Best-fit workflow
TypeScript stack with Next.js, Express, PostgreSQL, tRPC, and Drizzle ORM
Bulk upload for processing multiple files at once
Best for
MeetingBot
Choose MeetingBot if you need developers building products that need automated meeting recording across google meet, teams, and zoom — strengths include open source and self-hostable so meeting data stays in your own aws account.
VexaScribe
Choose VexaScribe if you need transcribing recorded interviews and podcasts into editable text — strengths include handles both uploaded files and live meeting capture in one tool.
Pros & cons
MeetingBot
+ Open source and self-hostable so meeting data stays in your own AWS account
- Self-hosting is tied to AWS, requiring cloud and Terraform familiarity
VexaScribe
+ Handles both uploaded files and live meeting capture in one tool
+ Wide range of export formats including subtitle files for captions
- Live meeting capture relies on a bot joining the call, which is visible to participants
FAQ
Is MeetingBot or VexaScribe better for AI meeting notes?
It depends on your workflow. MeetingBot is strong for developers building products that need automated meeting recording across google meet, teams, and zoom, while VexaScribe is strong for transcribing recorded interviews and podcasts into editable text. Both transcribe and summarize meetings.
How do MeetingBot and VexaScribe compare on price?
MeetingBot is a free tier with paid upgrades and VexaScribe 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 MeetingBot and VexaScribe?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.