Koji and Speakr 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. Speakr: Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
How Hosiqo compares and tests toolsFinal recommendation
For ai-meeting-assistants workflows, shortlist Koji when running exploratory discovery interviews without scheduling live calls matters most, and Speakr when privacy-conscious teams self-hosting transcription and summaries for internal meetings 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.
Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search.
Koji is a free tier with paid upgrades (freemium); Speakr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Koji | Speakr |
|---|---|---|
| Core capability | Insights traceable back to specific participant quotes | Self-hosted transcription with automatic language detection |
| Standout feature | AI interviewer that runs asynchronous voice and text discovery conversations at scale | Optional AI-powered speaker diarization |
| Team usage | AI research agent that drafts research goals and interview guides from a brief | Customizable summaries plus an action-items view for decisions and tasks |
| Integrations | Automatic per-interview analysis with key moments and sentiment | Per-recording chat and an Inquire Mode for semantic search across the whole library |
| Languages & capture | Cross-interview synthesis into study-wide themes, patterns, and recommendations | System and browser-tab audio capture |
| Best-fit workflow | MCP integrations with Claude, ChatGPT, Cursor, and Notion | Multi-user support with SSO, group workspaces, and admin dashboard |
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.
Speakr
Choose Speakr if you need privacy-conscious teams self-hosting transcription and summaries for internal meetings — strengths include runs entirely on the user's own infrastructure for full data control.
Koji
Speakr
It depends on your workflow. Koji is strong for running exploratory discovery interviews without scheduling live calls, while Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings. Both transcribe and summarize meetings.
Koji is a free tier with paid upgrades and Speakr is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.