AI meeting assistants earn their keep when they cut follow-up friction. If they only dump longer transcripts into Slack, you paid for more noise.
Otter remains the familiar pick for live notes. Free Basic caps you at 300 minutes a month and 30 minutes per conversation. Pro is about $8.33/user/mo billed annually ($16.99 month to month) with 1,200 minutes. Fireflies Pro sits near $10/seat/mo annually ($18 monthly) with unlimited transcription but storage and AI credit limits that still matter. tl;dv's free tier records without a hard meeting cap, yet AI notes stop at about 10 meetings until Pro at roughly $18/seat/mo annually. Pick based on whether you need searchable archives, short clip sharing, or simple notes you will actually open.
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 AI meeting assistants
Otter
Individuals and small teams that want clean live notes without building a call intelligence stack
Visit OtterSolid transcription and summaries on Zoom, Meet, and Teams. Pro's 1,200 monthly minutes cover a normal meeting load. Business at about $20/user/mo annually removes the minutes ceiling for heavier teams.
Fireflies
Teams that want searchable recordings, CRM hooks, and automated follow-up after the call
Visit FirefliesUnlimited transcription on paid plans with storage that scales by seat. Strong when sales or CS needs the meeting to land in HubSpot or Salesforce without copy-paste.
Recording and transcription stay generous even on free. Pro adds unlimited AI notes, search, and integrations. Clips are the real product for people who hate reading walls of text.
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.
In practice that looks like a summary you can paste into Asana or Linear in under a minute, not a 4,000-word transcript sitting unread. 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.
Otter and Fireflies both improved at pulling action items in our October 2026 checks, but they still invent confident owners when nobody clearly volunteered. tl;dv's clip workflow helped more when the goal was proving what a customer said, not writing the project plan.
That is why the stronger 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. Budget for the seat cost and for the habit of reviewing notes the same day. Yesterday's unread summary is just a prettier form of amnesia.
How we tested
Last tested October 2026. We ran Otter, Fireflies, and tl;dv across the same two weeks of real work calls: weekly planning on Google Meet, client check-ins on Zoom, and one recurring Teams standup. Devices were a MacBook Pro for hosting and an iPhone for joining on the go. We compared summary accuracy on decisions and owners, how fast we could find a quote later, clip sharing for async updates, and how often the bot joining the call created awkwardness.
We did not test Enterprise SSO, HIPAA add-ons, or full sales coaching playbooks. We also skipped languages outside English for the primary scoring, though tl;dv's multilingual pitch is real for mixed teams.