AI meeting assistants are useful for one reason: they help teams remember what was decided. If they only create longer transcripts, they add noise instead of clarity.
Otter is a familiar choice for transcription and notes. Fireflies works well when teams want searchable recordings and automated follow-up. tl;dv stands out when short clips and async sharing matter as much as note capture.
The short answer
Use Otter for dependable note capture, Fireflies for searchable meeting records, and tl;dv when short clips and async sharing matter more.
Top picks
Best best AI meeting assistants
Otter became popular because it makes note capture easy without much setup.
Watch for this: If your team wants deeper workflow automation, it can feel basic.
Fireflies is strong when the meeting record needs to stay easy to revisit later.
Watch for this: Teams still need a habit for turning notes into actions.
It is useful when the important part of a meeting should travel faster than the whole recording.
Watch for this: It shines most in teams already comfortable with async review.
What meeting assistants should solve
They should reduce memory loss. That means cleaner notes, clearer action items, and less time rehashing decisions in follow-up chats.
If the tool does not improve the next step after the meeting, it is not helping enough.
Why summaries matter more than full transcripts
Full transcripts are useful for search. They are not what most teams need day to day. People need the key decision, the owner, and the deadline.
That is why the best meeting assistants focus on extraction, not only capture.
The real limit of AI meeting tools
They cannot fix bad meetings. If the call had no clear agenda, poor facilitation, and vague decisions, the transcript will simply document the confusion more cleanly.
That is still worth saying because many teams buy note-taking software while keeping the meeting habits that made the software necessary.