Koji and Thoth are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Koji: AI-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically. 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 Koji when running exploratory discovery interviews without scheduling live 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-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically.
AI interviewer that runs asynchronous voice and text discovery conversations at scaleAI research agent that drafts research goals and interview guides from a briefAutomatic per-interview analysis with key moments and sentiment
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
Koji 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.
AI interviewer that runs asynchronous voice and text discovery conversations at scale
100% local, on-device recording, transcription, and summarization
Standout feature
AI research agent that drafts research goals and interview guides from a brief
Dual-channel capture of microphone and system audio
Team usage
Automatic per-interview analysis with key moments and sentiment
On-device speaker detection with color-coded transcripts
Integrations
Cross-interview synthesis into study-wide themes, patterns, and recommendations
Whisper-based transcription supporting many languages
Languages & capture
Insights traceable back to specific participant quotes
On-device anonymization to redact sensitive content
Best-fit workflow
MCP integrations with Claude, ChatGPT, Cursor, and Notion
Export to PDF, Word, Markdown, and timestamped JSON
Best for
Koji
Choose Koji if you need running exploratory discovery interviews without scheduling live calls — strengths include removes scheduling overhead by running many interviews in parallel and asynchronously.
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
Koji
+ Removes scheduling overhead by running many interviews in parallel and asynchronously
- AI-moderated async format is less suited to deep rapport-driven live interviews
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 Koji or Thoth better for AI meeting notes?
It depends on your workflow. Koji is strong for running exploratory discovery interviews without scheduling live calls, while Thoth is strong for professionals handling confidential or regulated information. Both transcribe and summarize meetings.
How do Koji and Thoth compare on price?
Koji 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 Koji and Thoth?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.