Koji and Shadow 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. Shadow: A bot-free, Mac-based AI meeting assistant that transcribes and summarizes calls locally without joining as a participant. 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 Shadow when capturing notes and summaries across multiple conferencing platforms without a bot joining 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
A bot-free, Mac-based AI meeting assistant that transcribes and summarizes calls locally without joining as a participant.
Bot-free capture that records system audio without joining the meeting as a participantCaptures on-screen content in addition to spoken audioCustomizable prompts/Skills to generate notes, summaries, and emails
Koji is a free tier with paid upgrades (freemium); Shadow 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
Bot-free capture that records system audio without joining the meeting as a participant
Standout feature
AI research agent that drafts research goals and interview guides from a brief
On-device (local) transcription on macOS
Team usage
Automatic per-interview analysis with key moments and sentiment
Speaker identification during transcription
Integrations
Cross-interview synthesis into study-wide themes, patterns, and recommendations
Captures on-screen content in addition to spoken audio
Languages & capture
Insights traceable back to specific participant quotes
Customizable prompts/Skills to generate notes, summaries, and emails
Best-fit workflow
MCP integrations with Claude, ChatGPT, Cursor, and Notion
Webhook integration to connect outputs to other tools
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.
Shadow
Choose Shadow if you need capturing notes and summaries across multiple conferencing platforms without a bot joining — strengths include does not add a visible bot to meetings.
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
Shadow
+ Does not add a visible bot to meetings
+ Local transcription keeps core audio processing on the device
- Available for macOS only
FAQ
Is Koji or Shadow better for AI meeting notes?
It depends on your workflow. Koji is strong for running exploratory discovery interviews without scheduling live calls, while Shadow is strong for capturing notes and summaries across multiple conferencing platforms without a bot joining. Both transcribe and summarize meetings.
How do Koji and Shadow compare on price?
Koji is a free tier with paid upgrades and Shadow 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 Shadow?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.