Otter.ai

Ifter using Otter.ai as our primary meeting transcription tool for over a month across dozens of Zoom and Google Meet calls, we can confidently say it changes how teams handle meeting documentation. The real-time transcription is remarkably accurate in English - we measured roughly 95% accuracy in clear audio conditions, though accuracy dips noticeably with heavy accents, overlapping speakers, or technical jargon. What sets Otter apart from basic transcription services is its ability to identify different speakers, which it does surprisingly well once it learns your team's voices over a few sessions.

The automated summary and action item extraction features saved us significant time. Instead of manually scrubbing through hour-long recordings, Otter surfaces key decisions, assigns action items, and generates a structured summary you can share immediately after the call. The OtterPilot feature, which can automatically join scheduled meetings, meant we never forgot to hit record. Integration with Slack and Zoom is seamless - transcripts appear in channels automatically.

The main limitation is language support. Otter.ai is overwhelmingly English-focused, with only limited capabilities in other languages. If your team operates in Spanish, French, or Mandarin, tools like Fireflies.ai or tl;dv may serve you better. On pricing, the free tier gives you 300 minutes per month, which covers light use but disappears fast in a busy organization. The Pro plan at $17/month per user is reasonable for the value delivered, though teams should compare against Microsoft Copilot's built-in Teams transcription, which is included in many enterprise plans. For English-speaking teams that live in meetings, Otter.ai is one of the most practical AI tools we have tested.