HeyMarvin and Thoth 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. Thoth: Privacy-first macOS app that records, transcribes, and summarizes meetings entirely on-device with no cloud or data leaving the Mac. 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 Thoth when professionals handling confidential or regulated information 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
Privacy-first macOS app that records, transcribes, and summarizes meetings entirely on-device with no cloud or data leaving the Mac.
100% local, on-device recording, transcription, and summarizationDual-channel capture of microphone and system audioExport to PDF, Word, Markdown, and timestamped JSON
HeyMarvin is a free tier with paid upgrades (freemium); Thoth 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
100% local, on-device recording, transcription, and summarization
Standout feature
Time-stamped notes and collaborative live note-taking during sessions
Dual-channel capture of microphone and system audio
Team usage
AI thematic analysis that clusters feedback into themes and patterns
On-device speaker detection with color-coded transcripts
Integrations
Ask AI querying across research data with citations to source clips
Whisper-based transcription supporting many languages
Languages & capture
Searchable centralized research repository combining many data sources
On-device anonymization to redact sensitive content
Best-fit workflow
Video clips, highlight reels, and insight reports for sharing findings
Export to PDF, Word, Markdown, and timestamped JSON
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.
Thoth
Choose Thoth if you need professionals handling confidential or regulated information — strengths include fully local processing with no cloud requirement and no user database.
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
Thoth
+ Fully local processing with no cloud requirement and no user database
+ Captures both sides of online meetings and works offline
- Requires a Mac with Apple Silicon and sufficient unified memory
FAQ
Is HeyMarvin or Thoth better for AI meeting notes?
It depends on your workflow. HeyMarvin is strong for ux researchers transcribing and tagging user-interview calls, while Thoth is strong for professionals handling confidential or regulated information. Both transcribe and summarize meetings.
How do HeyMarvin and Thoth compare on price?
HeyMarvin is a free tier with paid upgrades and Thoth 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 Thoth?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.