Meeting transcription is one of the few AI categories where the value is immediate and measurable. The differences between products, however, show up in unglamorous places.
What we assessed
- Speaker separation. How reliably different voices are labelled, especially on calls with similar accents.
- Action item extraction. Whether the tool identifies owners and deadlines, or merely produces a wall of text.
- Search. Can you find a decision made four months ago in ten seconds?
- Consent handling. Whether participants are notified clearly and whether recording can be disabled per meeting.
- Export and lock-in. How hard it is to leave with your own data.
Where products differ most
Extraction quality separates the field. Every tool transcribes competently now. Far fewer produce summaries that a person who missed the call could act on without asking follow-up questions. Search quality is the second divider — a searchable archive of every meeting becomes genuinely valuable after about three months.
The consent question
Recording rules differ by jurisdiction and by company policy, and a bot that joins a call announces itself but does not obtain meaningful consent. Teams should agree on a written policy before rolling anything out.
Our recommendation
Choose on extraction and search quality, then verify that the export format is something you can migrate. Transcription accuracy is no longer a differentiator.
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