Ask anyone who spends their day in back-to-back Zoom calls about Otter.ai and you’ll get some version of the same story: it’s the tool they didn’t know they needed until they tried it once, watched it capture a messy hour-long brainstorming session, and then wanted it everywhere.
Otter, founded in 2016, positions itself not as a recorder but as a meeting participant that happens to have perfect memory. It listens, writes, and summarises in real time, then hands you a clean transcript with actionable notes when the meeting ends. The best way to evaluate it is to stop thinking about transcription and start thinking about workflow: what Otter actually does is take the annoying parts of after-meeting admin and compress them into a ten-second scan.
What Is Otter.ai, Exactly?
At its simplest, Otter.ai is a speech-to-text application powered by a large-language model. It runs as a web app, a desktop app, and a mobile app, and it plugs directly into Zoom, Microsoft Teams, Google Meet, and Webex. You invite Otter to a meeting the way you would invite a colleague, and it automatically records audio, generates a live transcript with speaker labels, and produces a written summary when the call ends.
The summary is where people usually get excited. Instead of a wall of words, Otter hands you a tidy outline organised by topic. Need to find the moment the budget was discussed? You can jump straight to the phrase “budget” and see the context. This works because Otter’s search does semantic matching, not just keyword matching. You can type something like “decision about the redesign” and it will find the relevant portion even if no one said those exact words.
Core Features That Make Otter Worth Installing
If you have never used an AI notetaker, the feature list can feel overwhelming, but the important ones break down like this.
Live, Searchable Transcripts
Every word spoken in a meeting appears on screen almost instantly during the meeting. Speaker labels are colour-coded, and participants see the transcript update as they talk – which means you can silently note something and revisit it later without interrupting the conversation. The web interface also lets you select any sentence and attach in-line comments, which makes collaboration with teammates unusually straightforward.
Automated Meeting Summaries
Once the meeting ends, Otter generates a summary that includes key takeaways, action items, and follow-ups. In my testing, this summary is surprisingly good at telling the difference between small talk and a real commitment. Agreeing on a date, for instance, gets flagged as a task. That behaviour comes down to the underlying language model, and it improves if you type prompts during the meeting like “capture action items”. Otter treats those prompts as commands, so you can shape the output without editing it later.
Otter Assistant and Auto-Join
The Otter Assistant feature is the closest thing to a personal secretary. You can link Otter to your calendar and it connects to scheduled meetings automatically, then sends you a neatly formatted summary afterward. There are a few limits: it works best with paid plans, and you need to grant calendar and video platform permissions, but once it’s set up you never have to think about joining a call to record it.
Search That Spans More Than One Meeting
Soon after you have dozens of captured calls, Otter becomes a search engine for everything you’ve discussed. You can ask for a term or a phrase and get results across every past meeting. For business users, this expands beyond meetings inside one Otter account to connected tools like email, Slack, and CRM apps, so the project name, the client, and the budget figure all pull up in one search. Otter’s new enterprise search feature is an attempt to turn this into the single search box for your whole workday.
How Good Is Otter at Different Meeting Formats?
Video Meetings (Zoom, Teams, Google Meet)
Video calls are where Otter shines. When you invite the Otter bot to a Zoom call, it appears as a participant and starts capturing right away. The transcript is live, so you can see who is talking, and since people usually stay in their own audio channels, speaker identification is clean. I have used it on a 45-minute call with four people and the transcript was accurate enough to copy-paste paragraphs without edits.
In-Person Meetings and Your Own Voice
You can also use the mobile app to record yourself in a physical room. Place your phone or laptop on the table, hit record, and Otter will pick up multiple voices. Accuracy drops when there is background noise or when people are seated far away, but for a small team meeting, it is good enough to save the bulk of the conversation.
Lectures and Presentations
Otter is popular with university students because a lecture is just a long monologue. If you record a talk and hand the transcript to Otter, it will identify sections like “introduction”, “methodology”, and “key takeaways”, which makes revision much simpler than scrolling through a video.
One thing that takes time to learn is that Otter works best when you treat it like a human note-taker. It responds to spoken commands like a virtual assistant, and you soon get a feel for how to get exactly the output you need. For a broader take on building that skill, this list of practical ways to improve with AI tools applies just as much to Otter as it does to any other assistant.
Otter.ai Pricing in 2025: Free vs. Pro vs. Business
Otter has four tiers, and the differences can genuinely affect how you use the tool. Here is the short version:
- Free plan – gives you 300 minutes of transcription per month and 30 minutes per session. That is enough to try it on a few calls, but you will run out quickly if you are in constant meetings.
- Pro plan – around £13 per user per month (billed yearly) and includes 1,200 monthly minutes, 90-minute sessions, and the ability to import pre-recorded audio.
- Business plan – around £26 per user per month, adds shared team channels, billing, and the full searchable archive. This is the tier where enterprise search features come into play.
- Enterprise plan – custom pricing. It includes SSO, enhanced admin controls, and compliance support.
Most individuals will get good mileage out of the Pro tier. Teams, really, are the ones who need Business or higher, especially if they want to use the Assistant to auto-join meetings and create a searchable knowledge base.
Where Otter.ai Still Gets It Wrong
Being honest about AI notetakers means accepting some rough edges. Otter sometimes mangles names, especially for non-native speakers. Heavy accents, overlapping speech, and poor microphone discipline can turn a clean transcript into a confusing mess.
It also mostly works in English-language meetings. There is support for some other languages, but English is the obvious priority, and multilingual meetings that mix languages are a real weakness. If you regularly need notes in Spanish, French or German, you might find the accuracy inconsistent.
There is also a privacy consideration. You are entrusting Otter with every word that is said in your workplace, so it is worth checking whether your company allows external recording tools. Many organisations now have specific policies on AI notetakers, simply because they have become so widespread. In fact, the rise of AI notetakers as an accepted part of meetings is itself a recent phenomenon; there is a fascinating look at how AI notetakers have been invited into meetings and the cultural shift it represents.
A Few Things You Can Do to Get More from Otter
Now that Otter isn’t just a toy, the value comes from how you work with it. A few habits make a real difference:
- Tell people at the start of a meeting that Otter is in the call. That builds trust and keeps everyone a little more careful with what they say.
- Use the “type a prompt” box mid-meeting. If you write “create a list of open questions”, your summary will actually have that list.
- After the meeting, spend two minutes editing the action items. That small correction loop teaches Otter how you want to see your task structure.
- Use the channel feature (on paid plans) to group meetings by project, so you can review a whole quarter of decisions without sifting through every transcript.
Used well, that is the whole point: you stop worrying about remembering every detail and start paying attention to what is actually being said.