Otter.ai is good at producing a transcript. A transcript is not meeting notes. It is a wall of text you now have to read, and the automatic summary sitting on top of it will occasionally hand someone a task they never agreed to take.
The gap between those two things is where the work is. This guide covers the setup that improves accuracy before you record, a ten minute review that catches the errors that matter, a template you can reuse, and the free plan limit that quietly truncates half your meetings.
What you get on each Otter.ai plan
Start here, because one number on the free plan decides whether this workflow is viable for you at all: Basic caps each conversation at 30 minutes. A 45 minute project call gets cut off, and the decisions usually live in the last ten minutes.
Prices and limits below are from Otter's own pricing page and were checked on October 31, 2026. Otter also displays promotional prices with footnotes attached, including one restricted to India issued cards, so confirm what you will be charged at checkout.
Plan | Price | Minutes per month | Max per conversation | File imports |
|---|---|---|---|---|
Basic | Free | 300 per user | 30 minutes | 3 lifetime |
Pro | $16.99 monthly, $8.33 per month billed annually | 1,200 per user | 90 minutes | 10 per month |
Business | $30 monthly, $19.99 per month billed annually | Unlimited meetings | 4 hours | Unlimited, 6,000 transcription minutes per user |
Enterprise | Custom, demo required | Unlimited | 4 hours | Unlimited, 6,000 transcription minutes per user |
AI Chat queries are also metered: 20 per user on Basic with a cap of 3 per conversation, 50 on Pro, 200 on Business and Enterprise. If your plan is to interrogate transcripts rather than read them, that allowance runs down faster than the minutes do.
Before the meeting: consent, then setup
Ask permission first
Recording rules depend on where participants are, and a surprise AI notetaker changes how candidly people speak. Say what you are doing and why: "I am using Otter to capture decisions and follow ups, and I will check the notes before sharing them." That second clause does real work. It tells people the output is a draft, not an official record of what they agreed.
Check your workplace policy separately. If the conversation involves medical details, personnel matters, customer data or confidential plans, confirm Otter is approved for that category before recording. If it is not, take notes by hand.
Spend ten minutes on the settings that affect accuracy
Otter's own accuracy guidance is more useful than most vendor help pages, and it names background noise as the single biggest cause of bad transcripts. Three things are worth doing once, before your first real meeting:
Add custom vocabulary. Load your product names, internal jargon and acronyms so Otter stops guessing at them. This is the highest value five minutes you will spend, because a misheard product name breaks every later search.
Add participant names. Proper nouns and colleagues' names transcribe far better when Otter has seen them.
Train speaker voices. Otter can tag speakers automatically once it recognizes a voice, which is what makes "who agreed to this" answerable later.
For in person meetings, Otter recommends an external microphone rather than a laptop's built in one, kept within three feet of whoever is speaking, and an omnidirectional mic if you are capturing a room. Do not move or touch the device while recording. None of this is exotic, and it is the difference between a transcript you can skim and one you have to re-listen to.
Start with one meeting, not your whole calendar
Resist connecting your calendar and letting Otter auto join everything. You will end up with recordings of conversations that should never have entered a transcription service, and on Basic you will burn 300 monthly minutes on calls you did not need transcribed. Pick one recurring meeting where everyone has agreed, and run the full workflow on it twice before expanding.
The ten minute review that makes notes trustworthy
Do this before you read the AI summary, not after. Reading the summary first anchors you to its version of the meeting, and you will stop noticing what it left out.
Search the transcript for commitment language. Terms like "I will", "send", "approve", "by Friday", "owns" and your project names surface the moments that matter in seconds. Decisions cluster around those words.
Check the speaker label at every commitment. Speaker misattribution is the error with real consequences. Everything else is cosmetic by comparison.
Listen back wherever a sentence reads oddly. Transcription stumbles on overlapping speech, accents, numbers and product names, so dates and figures deserve a second listen specifically.
Now open the summary and compare it against what you found. You are looking for two failure modes: a decision the summary missed, and a tentative remark the summary firmed up. "Alex could review it" and "Alex will review it by Thursday" are different meetings.
Demote anything unresolved. If no deadline was said out loud, it does not get one. Park it as an open question instead of inventing a commitment.
A template you can reuse
Send this rather than the transcript. It takes people thirty seconds to check, which is why they actually check it.
Owner | Action | Due | Timestamp |
|---|---|---|---|
Alex | Review the draft contract and flag blockers | Thursday | 14:22 |
Priya | Send revised pricing to the client | Not stated | 21:05 |
Then one line underneath: Open questions: the things that were discussed and not settled, with nobody's name attached. Keeping those separate is what stops an unresolved debate turning into someone's unannounced task.
The timestamp column is the detail most people skip and the one that ends arguments. It lets anyone jump straight to the moment in the recording instead of re-reading an hour of text.
Ask for corrections explicitly. "Tell me if I have your task wrong" gets replies. Sending a transcript link and hoping does not. Before you share any link, check who can open it: transcripts carry side comments and asides that do not belong in a wide channel.
Where Otter gets things wrong
A fair account of the weak spots, because knowing them tells you where to spend your review time.
Overlapping speech. Otter states plainly that it struggles to separate people talking at once, which is exactly when the most contested decisions get made.
Background noise. Named by Otter as generally the biggest factor in a poor transcript. Cafes and speakerphones in open offices produce the worst results.
Speaker attribution. Reliable only after voice training, and still worth checking at every commitment.
Summary confidence. Generated summaries read with uniform certainty whether the underlying statement was a firm commitment or someone thinking aloud. The transcript preserves that difference and the summary flattens it.
The 30 minute free cap. Worth repeating because it is the limit people discover mid meeting.
When a different approach fits better
Otter earns its place when you sit in recurring meetings and regularly need to recover a specific detail weeks later. The searchable archive is the real product, more than the summary is.
It is harder to justify if you have one short call a week and can write down three tasks yourself, or if your meetings are consistently sensitive enough that recording is the wrong instinct. The free tier is enough to find out which describes you. Fathom, Fireflies and Granola come up most often as alternatives worth comparing, and their free tiers change often enough that it is worth checking current terms rather than trusting a roundup.
Before you pay, measure the boring thing: how long it takes you to produce an accurate action list with Otter against doing it by hand. If you are still spending twenty minutes fixing speaker labels, a paid plan does not solve that. If it reliably catches decisions you would have missed, the subscription pays for itself in one recovered commitment.
Frequently asked questions
Is the free version of Otter.ai enough for meeting notes?
For short meetings, yes. Basic gives 300 transcription minutes a month per user, but caps each conversation at 30 minutes, so anything longer is cut off. It also allows only 3 file imports for the lifetime of the account and 20 AI Chat queries.
How accurate is Otter.ai?
Accuracy depends more on your audio than on the service. Otter identifies background noise as generally the biggest factor, followed by overlapping speakers, and recommends an external microphone within three feet of the speaker. Custom vocabulary and voice training noticeably improve names and jargon.
Can Otter.ai join meetings automatically?
It can connect to your calendar and join meetings for you. We would not enable it across a whole calendar, since it records conversations you may not want transcribed and consumes your monthly minutes on calls that did not need it.
Do I need everyone's consent to record?
Recording law varies by location and your employer will have its own policy on top. Ask before you start, every time. Beyond the legal question, announcing it changes how people speak, and it is better to know that upfront than to discover it when someone objects afterwards.
Should I trust Otter's automatic action items?
Treat them as a first draft. They are useful for spotting items you forgot, and unreliable about who committed to what and by when. Check every owner and deadline against the transcript before sending.
The bottom line
The value of Otter is not that it writes your notes. It is that it gives you a searchable record you can verify against, which is something handwritten notes never offered. The workflow that works treats the transcript as evidence and the AI summary as a tip off, not a conclusion.
Set up custom vocabulary and voice training once, run the ten minute review after each meeting, and send the owner, action, due date and timestamp table instead of a link. That is the whole system, and it takes less time than reading the transcript you were going to skim anyway.