Koji and aTrain 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. aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. 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 aTrain when researchers transcribing recorded interviews for qualitative analysis 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
Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection.
Built on OpenAI Whisper via the faster-whisper engineExports compatible with MAXQDA, ATLAS.ti, and NVivoGraphical interface requiring no programming skills
Koji is a free tier with paid upgrades (freemium); aTrain 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
Offline, fully local transcription with no data leaving the device
Standout feature
AI research agent that drafts research goals and interview guides from a brief
Built on OpenAI Whisper via the faster-whisper engine
Team usage
Automatic per-interview analysis with key moments and sentiment
Speaker detection/diarization using pyannote.audio
Integrations
Cross-interview synthesis into study-wide themes, patterns, and recommendations
Exports compatible with MAXQDA, ATLAS.ti, and NVivo
Languages & capture
Insights traceable back to specific participant quotes
Graphical interface requiring no programming skills
Best-fit workflow
MCP integrations with Claude, ChatGPT, Cursor, and Notion
NVIDIA GPU acceleration support
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.
aTrain
Choose aTrain if you need researchers transcribing recorded interviews for qualitative analysis — strengths include free and open source under agpl-3.0.
Pros & cons
Koji
+ Removes scheduling overhead by running many interviews in parallel and asynchronously
- Works on recorded files rather than live meeting capture
FAQ
Is Koji or aTrain better for AI meeting notes?
It depends on your workflow. Koji is strong for running exploratory discovery interviews without scheduling live calls, while aTrain is strong for researchers transcribing recorded interviews for qualitative analysis. Both transcribe and summarize meetings.
How do Koji and aTrain compare on price?
Koji is a free tier with paid upgrades and aTrain 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 aTrain?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.