HeyMarvin and Speakr are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. HeyMarvin: AI research assistant that records and transcribes user-research interviews and builds a searchable insights repository. Speakr: Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search. 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 HeyMarvin when ux researchers transcribing and tagging user-interview calls matters most, and Speakr when privacy-conscious teams self-hosting transcription and summaries for internal meetings matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
AI research assistant that records and transcribes user-research interviews and builds a searchable insights repository.
AI thematic analysis that clusters feedback into themes and patternsAsk AI querying across research data with citations to source clipsRecords and automatically transcribes user-research interview calls
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
HeyMarvin is a free tier with paid upgrades (freemium); Speakr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Records and automatically transcribes user-research interview calls
Self-hosted transcription with automatic language detection
Standout feature
Time-stamped notes and collaborative live note-taking during sessions
Optional AI-powered speaker diarization
Team usage
AI thematic analysis that clusters feedback into themes and patterns
Customizable summaries plus an action-items view for decisions and tasks
Integrations
Ask AI querying across research data with citations to source clips
Per-recording chat and an Inquire Mode for semantic search across the whole library
Languages & capture
Searchable centralized research repository combining many data sources
System and browser-tab audio capture
Best-fit workflow
Video clips, highlight reels, and insight reports for sharing findings
Multi-user support with SSO, group workspaces, and admin dashboard
Best for
HeyMarvin
Choose HeyMarvin if you need ux researchers transcribing and tagging user-interview calls — strengths include tailored to user-research interviews rather than generic meeting notes.
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.
Pros & cons
HeyMarvin
+ Tailored to user-research interviews rather than generic meeting notes
+ Combines capture, AI analysis, and a repository in one workflow
- Oriented to research teams, so less relevant for everyday internal meetings
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
FAQ
Is HeyMarvin or Speakr better for AI meeting notes?
It depends on your workflow. HeyMarvin is strong for ux researchers transcribing and tagging user-interview calls, while Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings. Both transcribe and summarize meetings.
How do HeyMarvin and Speakr compare on price?
HeyMarvin is a free tier with paid upgrades and Speakr 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 HeyMarvin and Speakr?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.