Koji and Typist 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. Typist: AI speech-to-text service that converts audio and video into text and exports captions, with tiered models for speed or accuracy. 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 Typist when transcribing recorded interviews and research or client calls 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
AI speech-to-text service that converts audio and video into text and exports captions, with tiered models for speed or accuracy.
Audio and video to text transcription across many file formatsExport to SRT subtitles, WebVTT captions, DOCX, PDF, and TXTMultiple transcription models trading off speed and accuracy
Koji is a free tier with paid upgrades (freemium); Typist 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
Audio and video to text transcription across many file formats
Standout feature
AI research agent that drafts research goals and interview guides from a brief
Export to SRT subtitles, WebVTT captions, DOCX, PDF, and TXT
Team usage
Automatic per-interview analysis with key moments and sentiment
Multiple transcription models trading off speed and accuracy
Integrations
Cross-interview synthesis into study-wide themes, patterns, and recommendations
Speaker identification on the highest-accuracy tier
Languages & capture
Insights traceable back to specific participant quotes
Word-level and segment-level timestamps for clean subtitle timing
Best-fit workflow
MCP integrations with Claude, ChatGPT, Cursor, and Notion
Support for a wide range of languages and accents
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.
Typist
Choose Typist if you need transcribing recorded interviews and research or client calls — strengths include clean subtitle exports (srt and webvtt) that import into video editors.
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
Typist
+ Clean subtitle exports (SRT and WebVTT) that import into video editors
+ Choice of models lets users prioritize speed or accuracy per job
- Speaker identification is limited to the top tier
FAQ
Is Koji or Typist better for AI meeting notes?
It depends on your workflow. Koji is strong for running exploratory discovery interviews without scheduling live calls, while Typist is strong for transcribing recorded interviews and research or client calls. Both transcribe and summarize meetings.
How do Koji and Typist compare on price?
Koji is a free tier with paid upgrades and Typist 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 Typist?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.