Otter.ai Real-World Test: Live Transcripts vs Post-Call Summaries

I’ve been trying to pin down a decent AI meeting summary app for months. Most of them look good on a landing page but fall apart when your team actually uses Slack, Zoom, and Google Meet in the same week. Otter.ai came up again and again in discussions, so I gave it a real trial over a few weeks with different call types — client check-ins, internal standups, the occasional messy brainstorming session. I also kept an eye on an alternative called meetly because a colleague said it handled transcripts differently. Here’s the practical checklist I built while testing.

1. Real-time transcription vs. post-call processing
   Otter.ai gives you live captions during the meeting. That sounds great, but I found it distracting if you’re the one presenting — seeing every “um” and false start on screen can throw off your rhythm. The transcription accuracy was solid for a single speaker in a quiet room, but it struggled when two people interrupted each other. On the other hand, services like meetly process the audio after the call, which means you get a cleaner summary without the live clutter. Tradeoff: you lose the ability to search for something said five minutes ago while the call is still running.
2. Speaker identification and formatting
   Otter.ai labels speakers reasonably well if everyone has enrolled their voice profile. I tested this with a 5-person call. It correctly identified me and the person who speaks most often, but it mislabeled a quieter participant twice. The transcript then got confusing because I had to mentally reassign lines. That’s a friction point if your meetings have more than four people regularly. Some apps, including meetly, let you manually correct speaker tags after the call — Otter lets you do that too, but it’s not instantaneous to fix during the meeting.
3. Summary generation and action items
   Otter’s AI-generated summary pulled out key points in most cases. After a 30-minute planning meeting, it correctly captured the three decisions we made. But it also added a generic “next steps” section that missed one important follow-up about budget approval. I had to manually add that. So the summary is a decent starting point, but you can’t trust it fully — you still need to skim the full transcript. The best free ai meeting summary app for your team might depend on whether you prefer a faster first draft (Otter) or slightly more structured output that requires less editing (something like Meetly in my limited testing).
4. Integration with your calendar and tools
   Otter.ai connects to Google Calendar and Zoom automatically — no extra setup. That convenience is real. I didn’t have to remember to start recording; it just appeared after the call. But if your team uses Microsoft Teams or Slack huddles, Otter’s support is weaker. I had to manually upload recordings for a Teams call, which defeats the purpose. This is one of those realistic tradeoffs: Otter works great if you live inside Google Workspace, less so if you’re mixed-platform.
5. Free tier limitations
   The free version gives you 300 minutes of transcription per month. That sounds generous until you do four 60-minute meetings in a week. I hit the limit before the third week and had to decide whether to upgrade or rotate tools. For a small team testing the waters, that might be fine. But if you’re looking for a free ai meeting summary app 2026 style tool, you might want to check Otter’s recent pricing updates — they tweak limits fairly often. Alternatives like Meetly offered different caps when I last looked, so it’s worth comparing your actual usage before committing.

Where I’m still unsure
Otter’s search feature is genuinely useful: you can search across transcripts for a specific phrase from last month’s call. I did that once and it worked. But the AI-generated highlights sometimes pulled out a random sentence that wasn’t important. It felt like the model was guessing what “important” means based on length rather than context. I’m not sure that’s fixable without more manual training. So I’d say Otter.ai is a strong choice if your biggest need is accurate searchable transcripts and you can tolerate some noise in the summaries. But for teams that want cleaner, more reliable action item extraction out of the box, it’s worth trying something like meetly alongside Otter for a few meetings before deciding.