AI meeting assistant that transcribes and summarizes calls in real time.
The default name in meeting transcription: Otter joins your calls, writes them down live, and turns them into summaries and action items — with a free tier whose minute caps are the entire business model.
Independent analysis based on official public sources (pricing pages, documentation, release notes) — not a sponsored review or a hands-on test.
AI meeting assistant that transcribes and summarizes calls in real time.
Otter.ai uses a freemium model: there is a real free plan, and paid plans start at $16.99 per month on a monthly-billing basis.
Otter.ai is available on Web, iOS, Android.
Otter.ai is one of 51 AI Productivity tools tracked on ToolScanner. You can compare it side by side with alternatives, check verified monthly-billing prices, and add it to your AI stack to see what your whole setup costs.
Live speech-to-text with speaker diarization and timestamps, editable afterward to fix names and terms.
Connects to your calendar and joins Zoom, Google Meet, and Teams calls as a participant, recording without manual setup per meeting.
Post-meeting condensation into overview, key points, and assigned follow-ups — the part most users actually read.
Ask questions against one meeting or your whole archive ('what did the vendor commit to in March?').
Full record-transcribe-search loop on iOS and Android, covering in-person conversations rather than only scheduled video calls.
An assistant that attends Zoom, Google Meet, and Teams calls automatically converts the worst part of the calendar into searchable records nobody had to type.
Live transcription of lectures and interviews on Web, iOS, and Android, with speaker labels and timestamps that make quotes findable later.
Automated summaries and action items give every meeting a paper trail without depending on whoever 'was supposed to' take notes.
Recording, live transcript, speaker identification, AI summary, and extracted action items arrive as one flow — the difference between a transcript file and usable meeting memory.
Calendar-connected joining means the record exists even for the meetings you forgot to think about.
Monthly transcription minutes at no cost make it the standard 'try transcription at all' entry point.
Months of conversations become a queryable archive — 'what did we decide about pricing' stops requiring human memory.
Free and even paid tiers meter monthly minutes and per-conversation lengths; regular long meetings force plan math in a way per-seat pricing wouldn't.
Accuracy is strongest in English; teams meeting in other languages — Korean included — should test on their real audio before standardizing, as specialized rivals may transcribe their language better.
An attendee named Otter joining every call raises recording-consent and client-comfort questions that a personal notes app never did — policy, not settings, solves this.
Misheard names and jargon flow downstream into summaries and action items, so domain-heavy meetings still need a human skim.
The assistant attends, and the after-call email condenses the summary and action items instead of an hour of memory reconstruction.
Recorded sessions become timestamped, speaker-labeled transcripts researchers can quote precisely, on mobile as easily as desktop.
Skip the optional meeting and read the summary — thirty seconds of judgment on whether the full transcript deserves your time.
Students record talks on the phone app and search the semester's material by keyword at exam time.
Paid plans start at $16.99/month on monthly billing per the catalog's verified figure — the Pro tier primarily buys a much larger monthly minute pool and longer per-conversation limits; annual billing prices materially lower, and business tiers add admin and CRM-flavored features.
Editorial judgment: price the minutes, not the features. Count a typical month of meetings you'd actually record; light users live comfortably free, while anyone recording daily standups plus client calls exhausts free caps in week one and should treat Pro as the real entry price.
Free includes a monthly transcription-minute allowance with a per-conversation cap, the core live transcription experience, and limited AI features — a real evaluation of accuracy on your voices and vocabulary.
The caps are the product boundary: a couple of long meetings can consume a week's worth of free minutes, by design.
Fireflies leans into pipeline automation — CRM syncs, workflow hooks, integrations; Otter leans into the live experience and consumer-simple setup. Ops-heavy sales teams often prefer the former, everyone-else workflows the latter.
Fathom's free tier is famously generous for call recording; Otter counters with stronger mobile/in-person coverage and the meeting-archive chat layer.
Notta competes directly on Asian-language strength — teams whose meetings run in Korean or Japanese should trial both on real audio rather than assuming the bigger brand wins.
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AI app that removes background noise and echo from calls, with meeting notes.
Meeting intelligence that summarizes calls, measures engagement, and carries context into email and messaging.
Best for meeting intelligence everywhere
Choose Fireflies when transcripts must flow into CRMs and automations — its integration surface is the differentiator.
Choose Fathom for video-call recording with a notably generous free tier and polished highlight clipping.
Choose tl;dv for clip-and-share meeting moments, especially in product and research teams distributing findings internally.
Choose Notta when non-English (particularly Asian-language) transcription accuracy is the deciding factor.
The factual claims above (pricing, plans, features, platforms, limits) were checked against these official sources on the dates shown. Vendors change plans at any time — always confirm on the official site before purchasing.
Strong for clear English speech, weaker with heavy accents, crosstalk, and specialized jargon. The free tier exists precisely so you can measure accuracy on your own team's audio before paying — run that test rather than trusting anyone's percentage claims.
Otter's strength is English. For meetings conducted primarily in Korean, test carefully and compare against rivals that emphasize Asian-language support (Notta among the catalog's options) before standardizing.
The assistant joins visibly as a participant, and consent obligations sit with you — several jurisdictions require all-party consent for recording. Set a team policy before setting the auto-join toggle.
Volume, mostly: the monthly minute pool and per-conversation length caps. Feature differences matter less than whether your real meeting load fits inside free limits — most daily users find it doesn't within the first week.
Yes — Otter.ai has a free plan you can start with. Paid plans start at $16.99 per month.
Paid plans start at $16.99 per month on a monthly-billing basis (last verified 2026-07-23). Annual billing, higher tiers, and regional pricing can differ.
No free trial is listed for Otter.ai, but the free plan lets you try it without paying.
AI meeting assistant that transcribes and summarizes calls in real time. On ToolScanner, Otter.ai is listed under AI Productivity.
Popular AI Productivity alternatives include Fathom, Fireflies.ai, tl;dv, Grain, Krisp. You can compare any of them with Otter.ai side by side on ToolScanner.
Otter.ai is available on: Web, iOS, Android.
On the official website — providers change prices and plans at any time, so always confirm there before purchasing. ToolScanner shows the monthly-billing price as of our last check (last verified 2026-07-23).