Otter.ai

Overview

Otter.ai automatically joins your meetings (Zoom, Teams, Meet), transcribes everything in real-time, generates summaries, and extracts action items. It's the set-and-forget AI meeting assistant that captures what matters.

My Experience with Otter.ai

I put Otter.ai on every call for about a year before I trusted it enough to stop taking my own notes. That trust didn't happen overnight — the first few weeks were spent double-checking transcripts against my memory. But once I saw how consistently it caught details I would have missed, I stopped worrying about being "present" instead of scribbling notes, and started actually listening.

OtterPilot: the auto-join feature that removes the friction

The single biggest reason Otter.ai stuck for me is OtterPilot. Connect your calendar once, and Otter shows up to every Zoom, Teams, or Google Meet call on your schedule without you clicking a single button. No "please start recording," no fumbling with a bot invite mid-call while people wait. It just appears, transcribes, and leaves when the meeting ends. For someone who used to forget to hit record about a third of the time, this alone justified switching. The set-and-forget nature is the whole point — you configure it once and then never think about it again.

Transcription accuracy, and why searchability matters more than perfection

The real-time transcript is good, not flawless. On clean audio with one speaker at a time, accuracy is high enough that I rarely need to correct anything before sharing it. Cross-talk, strong accents, or a noisy home office connection will introduce errors — that's normal for any speech-to-text engine, not just Otter. What changed my workflow wasn't perfect transcription, though, it was searchability. Every meeting I've ever recorded is indexed and searchable by keyword. When someone asks "didn't we discuss the pricing change in March?" I can search "pricing" across months of transcripts and find the exact conversation in seconds, instead of scrolling through old notes or asking around.

Summaries and action items that actually get read

Raw transcripts are long and nobody reads them end to end. Otter's automatic summary is what people on my team actually open after a call — a few paragraphs capturing the topics discussed, followed by a distinct list of action items pulled out of the conversation. It's not always perfect at deciding what counts as an action item versus a passing comment, so I still skim the list before forwarding it. But it turns a 45-minute meeting into something someone can read in under a minute, and that's a meaningfully different thing than "we have a transcript somewhere."

Asking questions across past meetings

The feature I underused at first and now rely on constantly is the chat panel that lets you ask questions against your meeting history rather than just reading it. Instead of hunting through a transcript manually, I type something like "what did we decide about the launch date" and get an answer synthesized from the relevant part of the conversation, with a pointer back to where it came from. It's especially useful weeks after a decision was made, when nobody remembers the exact wording but everyone remembers roughly when it was discussed. This is where Otter stops feeling like a note-taker and starts feeling like a searchable memory of every conversation your team has had.

Honest weaknesses

Otter only works on audio it can hear, which sounds obvious but matters in practice — an in-person meeting with no laptop present leaves no transcript at all. There's also a real question worth taking seriously around confidential meetings: having every conversation transcribed and stored means you should check your company's AI and data policy before turning it on for sensitive discussions, not just assume it's fine. And if your team works across languages, don't expect much — Otter's translation support is thin compared to tools built specifically for multilingual transcription, so a mixed-language meeting will frustrate you fast.

Otter.ai vs Granola

Granola is the comparison people ask me about most, and the difference comes down to what each tool is optimizing for. Granola works from your own notes taken during the call and enriches them afterward with what was actually said, which keeps you more actively engaged in the meeting while it's happening. Otter takes the opposite approach — it assumes you'd rather not take notes at all, joins on its own through OtterPilot, and hands you a complete transcript and summary afterward. If you like jotting a few words during a call and want them expanded into something polished, Granola fits that habit better. If you want to disengage from note-taking entirely and search everything later, Otter is the better fit. I've ended up using Otter for recurring team meetings where I mainly need a record, and reach for note-first tools when I'm actively working through a problem live.

Is the free tier enough, or should you pay?

The free 300 minutes a month is genuinely usable for an individual with a handful of meetings a week — that's roughly two to three hours of calls, close to a lot of people's entire meeting load. Where it breaks down is anyone in back-to-back calls all day, or a team that wants shared access to a meeting library, which is where the paid tiers come in. Pro at $16.99/mo removes the minute anxiety and adds more AI features on top of transcripts; Business at $30/mo targets teams that want shared workspaces and admin controls. My honest read: try the free tier first, and only upgrade once you actually hit the wall.

Pricing