Koji and Speech to Note 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. Speech to Note: Cross-platform tool that converts speech into transcripts and customizable summaries using a large library of note formats. 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 Speech to Note when transcribing and summarizing meetings in a chosen format 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
Koji is a free tier with paid upgrades (freemium); Speech to Note 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
Speech-to-text transcription across 100+ languages
Standout feature
AI research agent that drafts research goals and interview guides from a brief
Large library of smart note and summary formats
Team usage
Automatic per-interview analysis with key moments and sentiment
Custom summary template creation
Integrations
Cross-interview synthesis into study-wide themes, patterns, and recommendations
Webhook-based workflow automation
Languages & capture
Insights traceable back to specific participant quotes
Offline recording on mobile with cross-device sync
Best-fit workflow
MCP integrations with Claude, ChatGPT, Cursor, and Notion
Multiple output and export formats with privacy controls
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.
Speech to Note
Choose Speech to Note if you need transcribing and summarizing meetings in a chosen format — strengths include highly customizable summary formats and templates.
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
Speech to Note
+ Highly customizable summary formats and templates
+ Available on web, iOS, and Android rather than a single platform
- Pricing tiers are not displayed on the main landing page
FAQ
Is Koji or Speech to Note better for AI meeting notes?
It depends on your workflow. Koji is strong for running exploratory discovery interviews without scheduling live calls, while Speech to Note is strong for transcribing and summarizing meetings in a chosen format. Both transcribe and summarize meetings.
How do Koji and Speech to Note compare on price?
Koji is a free tier with paid upgrades and Speech to Note 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 Speech to Note?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.