Koji and Scriberr 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. Scriberr: Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript. 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 Scriberr when privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure 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.
Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
Koji is a free tier with paid upgrades (freemium); Scriberr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Koji | Scriberr |
|---|---|---|
| Core capability | AI interviewer that runs asynchronous voice and text discovery conversations at scale | Local, offline transcription using Whisper models via the WhisperX engine |
| Standout feature | AI research agent that drafts research goals and interview guides from a brief | Automatic speaker diarization (who said what) |
| Team usage | Automatic per-interview analysis with key moments and sentiment | AI summaries with custom prompts via Ollama or OpenAI-compatible providers |
| Integrations | Cross-interview synthesis into study-wide themes, patterns, and recommendations | Chat with your transcripts to ask questions and pull insights |
| Languages & capture | Insights traceable back to specific participant quotes | Built-in audio recorder and note-taking on transcripts |
| Best-fit workflow | MCP integrations with Claude, ChatGPT, Cursor, and Notion | Folder watcher and API endpoints for automation workflows |
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.
Scriberr
Choose Scriberr if you need privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure — strengths include fully self-hosted and offline, keeping audio and transcripts on your own hardware.
Koji
Scriberr
It depends on your workflow. Koji is strong for running exploratory discovery interviews without scheduling live calls, while Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure. Both transcribe and summarize meetings.
Koji is a free tier with paid upgrades and Scriberr 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.