What is Otter.ai?
Otter.ai is an AI meeting assistant that listens to your conversations — whether live on Zoom, Google Meet, or Microsoft Teams, or from an audio file you upload — and turns them into searchable, shareable transcripts automatically. No manual note-taking, no post-meeting write-up, no trying to remember who said what.
Beyond just transcription, Otter uses AI to process what was said and extract the important bits: the summary, the key decisions, and the action items with the names of who said they'd do them. It's the difference between a raw word-for-word log and an actually useful record of your meeting.
Used by students, business teams, journalists, researchers, and anyone who sits in a lot of meetings, Otter has become one of the most popular productivity AI tools — especially as remote work made asynchronous meeting records even more valuable.
Key features of Otter.ai
Real-time transcription
Otter joins your meeting and transcribes every word as it's spoken — live, in real time. You can follow along on-screen or review after the call.
Speaker identification
Otter learns to identify different voices and labels each speaker in the transcript. You can name speakers once and it remembers them for future meetings.
AI meeting summaries
After the meeting, Otter automatically generates a concise summary and a list of action items — the kind of write-up that used to take 20 minutes to do by hand.
Platform integrations
Works natively with Zoom, Google Meet, Microsoft Teams, and Webex. Otter's bot joins automatically so you don't have to do anything to start recording.
Searchable archive
All your transcripts are saved and fully searchable. Find any quote, decision, or moment from any meeting in seconds — even from calls months ago.
OtterPilot chat
Ask questions about your meeting transcripts in natural language. "What did we agree on pricing?" or "What action items were assigned to Sarah?" — answered instantly.
How Otter.ai works
Otter combines automatic speech recognition (ASR) with natural language processing (NLP) to go from raw audio to structured, useful notes. Here's the simple flow:
Otter joins your meeting — either automatically via calendar sync or when you share the recording link.
It listens and transcribes in real time — speech recognition converts audio to text as it happens, labelling each speaker.
After the meeting, AI processes the transcript — generating a summary, extracting action items, and making the full text searchable.
The more meetings Otter records with the same group of people, the better it gets at distinguishing voices. You can also train it on specific terms — like internal project names or technical vocabulary — to improve accuracy on specialised content.
Real-life use cases of Otter.ai
Business teams
- +Automatic meeting minutes for every standup, client call, and all-hands
- +Action item tracking so follow-ups don't fall through the cracks
- +Sharing notes with teammates who couldn't attend
Students & academics
- +Transcribing lectures so you can focus on listening instead of writing
- +Recording and transcribing interviews for research projects
- +Reviewing class content by searching the transcript later
Journalists & researchers
- +Transcribing recorded interviews accurately and quickly
- +Searching through interview archives to find specific quotes
Sales & customer success teams
- +Logging sales calls automatically in CRM notes
- +Reviewing what prospects said about their pain points or objections
Pros and cons of Otter.ai
Pros
- +Real-time transcription with high accuracy for clear audio
- +Auto-joins meetings via calendar sync — zero friction
- +AI summaries and action item extraction save real time
- +Fully searchable transcript archive
- +Native integrations with Zoom, Meet, and Teams
- +Generous free plan for individual users
Cons
- -Struggles with heavy accents, background noise, or crosstalk
- -Summaries can miss nuance or misattribute points
- -Some participants find meeting bots intrusive
- -Privacy considerations for sensitive or confidential conversations
- -Business plans can be expensive at scale
Otter.ai pricing
| Plan | Price | Key features |
|---|---|---|
| Free | $0 | 300 min/month, 30 min/conversation, limited AI summaries |
| Pro | ~$4.17/user/mo | 1,200 min/month, 90-min conversations, advanced search, custom vocabulary |
| Business | ~$19.99/user/mo | 6,000 min/month, team features, admin controls, priority support |
| Enterprise | Custom | SSO, advanced security, dedicated support for large organisations |
Tip: Minutes are consumed per recording — a 60-minute meeting uses 60 minutes. Check current allocations at otter.ai/pricing.
Alternatives to Otter.ai
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Fireflies.ai — strong competitor with similar features, a generous free plan, and better CRM integration; popular with sales teams.
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Rev — human-powered transcription with higher accuracy for difficult audio; slower but more reliable for critical transcripts.
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Zoom AI Companion — built directly into Zoom; good for basic meeting summaries without an additional tool if your meetings are all on Zoom.
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Wispr Flow — for personal dictation in any app rather than meeting capture.
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Murf AI — flip side of the workflow: AI voice generation for creating professional voiceovers.
Practical tips for beginners
Sync your calendar on day one. Otter can auto-join meetings from your Google or Outlook calendar — set this up and you'll never forget to record.
Add custom vocabulary. Go to settings and add project names, acronyms, and technical terms so Otter transcribes them correctly.
Label speakers early. After your first few meetings, assign names to speakers — Otter will start recognising voices and doing it automatically.
Always inform participants. In many regions, recording conversations without consent is a legal issue. Always tell participants before recording.