Speakr and VexaScribe are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Speakr: Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search. 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 Speakr when privacy-conscious teams self-hosting transcription and summaries for internal meetings 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.
Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search.
Configurable AI models compatible with OpenAI, OpenRouter, and local modelsCustomizable summaries plus an action-items view for decisions and tasksMulti-user support with SSO, group workspaces, and admin dashboard
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
Speakr 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.
Self-hosted transcription with automatic language detection
File upload transcription plus a bot that joins Zoom, Meet, and Teams meetings
Standout feature
Optional AI-powered speaker diarization
Automatic speaker detection and labeling with timestamps
Team usage
Customizable summaries plus an action-items view for decisions and tasks
AI summaries for meeting, interview, sales, lecture, and podcast formats
Integrations
Per-recording chat and an Inquire Mode for semantic search across the whole library
Subtitle exports in SRT and VTT plus TXT, DOCX, and JSON
Languages & capture
System and browser-tab audio capture
Built-in translation into many languages
Best-fit workflow
Multi-user support with SSO, group workspaces, and admin dashboard
Bulk upload for processing multiple files at once
Best for
Speakr
Choose Speakr if you need privacy-conscious teams self-hosting transcription and summaries for internal meetings — strengths include runs entirely on the user's own infrastructure for full data control.
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
Speakr
+ Runs entirely on the user's own infrastructure for full data control
+ Action-item extraction and per-recording chat go beyond plain transcripts
- Current releases are alpha-stage and may not be production-stable
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 Speakr or VexaScribe better for AI meeting notes?
It depends on your workflow. Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings, while VexaScribe is strong for transcribing recorded interviews and podcasts into editable text. Both transcribe and summarize meetings.
How do Speakr and VexaScribe compare on price?
Speakr 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 Speakr and VexaScribe?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.