Otter AI: AI Meeting Notes, Transcription, and Summaries

Otter AI is an AI meeting assistant. It joins calls on Zoom, Microsoft Teams, and Google Meet, records them, writes a transcript in real time, and turns that transcript into a summary with action items. Otter describes itself as built for sales, marketing, product, finance, operations, design, and customer-facing teams that want a record of their meetings without someone manually taking notes.

A feature called Otter AI Chat lets you ask questions about a meeting after it ends, things like "what did I miss" or "write a follow-up email to all participants." Otter also has iOS and Android apps.

Otter's transcription supports six languages as of a 2026 update: English, French, Spanish, German, Japanese, and Chinese, up from three (English, French, Spanish) before that update. Japanese support was added in late 2025.

Setup is simple: connect your Google or Outlook calendar, or hit record on your phone, and the system begins rendering speech into text right away. Otter doesn't publish an exact onboarding time, but there's no separate install step for the core experience.

The main thing a first session changes is how much attention you have free. In a busy multi-speaker call where people talk over each other, the usual problem of trying to listen, think, and write notes at once eases once a live transcript is on screen: if your attention drifts during crosstalk, you can scroll back a few lines and catch up without losing the thread.

What arrives at the end of the call is a structured summary with key points and action items, plus a searchable transcript with speaker labels, a record of what was discussed that doesn't depend on anyone's note-taking under pressure.

Four videos from Otter's own YouTube channel, covering the enterprise pitch, tailored meeting summaries, the MCP Server, and the Agentic AI Chat experience.

Many reviews list transcription speed as just another feature. The more useful way to think about it: the most valuable moment to make a conversation accessible isn't after it ends, it's while it's still happening, so you're freed from listening, synthesizing, and writing at the same time. That tends to show up as better follow-up questions, since attention isn't split between the conversation and note-taking.

The shared-workspace version extends this: when multiple participants can see the same live transcript, disagreements about who said what get settled by scrolling to the line instead of arguing from memory, and action items can be tagged the moment they're spoken rather than reconstructed afterward.

Otter has four plans: Basic, Pro, Business, and Enterprise, priced and metered per user on every paid tier. Otter's pricing page shows both monthly and annual rates, plus a promotion that only applies with an India-issued credit card. Prices below are per user, in US dollars; the standard rate, the annual-billing equivalent, and the India-specific offer (where it applies) are shown separately.

The live transcript is still the core of the product, but Otter's newer features are aimed at a different job: turning that transcript into something other systems and tools can act on, not just something you read.

No installation required for the core experience. Here's the sequence that gets you to a working live transcript fastest.

Otter's own documentation confirms its Notetaker can automatically join calendar meetings, and that auto-join stays on until a user changes the setting; individual calendar events keep whatever setting was in place when they were last adjusted. This matches a G2 complaint quoted below, where a reviewer said Otter kept trying to join meetings after they disconnected it from their Google account. If you use Otter, check both your default auto-join setting and the settings on individual calendar events, and check your Google account's third-party app permissions. If you host or join a call with Otter's Notetaker present, tell everyone on the call it's recording and transcribing before you start, regardless of what Otter's own default settings do.

Otter's privacy and security page (otter.ai/privacy-security) states that stored data is encrypted using 256-bit AES server-side encryption on AWS S3 storage. Conversations are private by default, accessible only to you and whoever you explicitly choose to share them with.

Deleting a conversation moves it to Trash rather than removing it immediately. Otter automatically empties the Trash after 30 days; manually emptying it deletes the conversation at that point instead. If you need a transcript gone immediately, for instance after recording something sensitive, empty the Trash rather than assuming deletion is instant.

That same privacy and security page states Otter follows HIPAA requirements for how it collects, stores, and processes health-related information. It does not state there which plan includes a signed business associate agreement (BAA), and that HIPAA statement is not itself proof that every account or workflow is automatically compliant; if you need a BAA for healthcare use, confirm directly with Otter's sales team rather than assuming it's included on your current plan.

None of this replaces checking your own organization's recording and data-handling policy. Otter's security measures govern what it does with your data once captured; whether you should be recording a given conversation at all is a separate, consent-level question covered above.

Otter AI holds a 4.4 out of 5 rating from 505 reviews on G2 as of this writing. Review platforms update constantly, so treat this as a snapshot rather than a permanent verdict; check G2 directly for the latest reviews. The points below are drawn from individual G2 reviews; they illustrate reported experiences rather than represent a statistical sample. The pricing and feature details above are documented product facts; what follows is what specific people reported experiencing, which may not match every user's experience.

• Accuracy varies with difficult audio. Otter supports six transcription languages, but reviewers still report accuracy problems with difficult audio, accents, and technical terms.
• Support and account friction. More than one reviewer described slow or unresolved support, and friction around account and license management, especially offboarding a team member.
• Auto-join can outlast your permission. Otter's Notetaker can keep rejoining meetings unless auto-join is turned off, even after you've removed its access elsewhere. One G2 reviewer's experience matches this pattern, though that review is one report, not proof of the cause. See the Recording Consent and Auto-Join Settings section above for how to check your own settings.
• Billing surprises. One reviewer reported being billed for a team member added to their account without prior notice.

These are three AI meeting assistants with the same basic job: join a call, transcribe it, summarize it. Prices below are each vendor's own current pricing page, per user.

Language coverage isn't a clean three-way ranking: Otter's 6 are all transcription languages, Fathom transcribes 38 languages but only auto-translates summaries into English, French, German, Dutch, Italian, Portuguese, and Spanish on its Premium and Team plans, and Fireflies' "100+" is not broken down by transcription, translation, or summary support. None of this measures transcription quality or how well each tool handles accents or mixed-language meetings. On price, Otter and Fireflies land close together at both the entry and mid tier; Fathom's Team and Business tiers cost more per user than either, but require at least 2 users, so they aren't a direct comparison for a solo buyer against Otter Pro or Fireflies Pro.

Fathom Business includes sales-focused features such as CRM field sync, a Deal View, and AI coaching scorecards. Otter offers standard Salesforce and HubSpot integrations on Pro, both subject to user limits per Otter's own footnote, and adds custom CRM and dialer integrations at Enterprise. Fireflies' Business tier adds conversation intelligence and team analytics, a different kind of feature than CRM-specific tooling, though that isn't evidence Fireflies lacks CRM capability either, since CRM integrations weren't part of what was checked on its pricing page.

A second cut of the same comparison, feature by feature rather than plan by plan:

Otter AI covers the basics of an AI meeting assistant: joining calls, transcribing them in six languages, and summarizing them, with a free plan and three paid tiers scaling up to enterprise security features. G2 reviewers rate it 4.4/5 overall. Reviewers in this sample praised its transcription speed and cross-meeting search; the same sample raised accuracy in harder audio conditions, support response times, and account management as real weak points. Its Notetaker can also keep auto-joining meetings until you turn that setting off, so tell people on the call when Otter is recording and transcribing, and follow whatever consent rules apply where you are. Pricing depends on billing term and, for Pro, on whether you're paying with an India-issued card, so check the live price for your situation before buying.

Who should buy it: teams who've already chosen Otter and need more minutes, longer meeting lengths, or admin controls; Basic fits someone testing the product or sitting in short calls, not someone in long meetings regularly.

Who should compare first: a buyer who needs broad language coverage, a sales-specific workflow, or a free tier with unlimited recording and storage (as opposed to a monthly minutes cap) has reasons to compare Fathom or Fireflies first, per the comparison above, before committing to Otter.

This review was researched by the TechScribe editorial team, based on Otter AI's own pricing and documentation pages and verified G2 review data (4.4 out of 5 across 505 reviews).

This page may contain affiliate links: if you sign up through them, we may earn a commission at no extra cost to you, which never affects our rating or what we recommend.

Being honest about fit is what makes a recommendation worth trusting. A few concrete reasons to look elsewhere before you commit:

• You need a language outside Otter's six, or mixed-language meetings beyond one specific pair. Otter transcribes English, Spanish, French, German, Japanese, and Chinese (Simplified); German and Chinese are still in beta per Otter's help center. The only simultaneous-language combination it supports is French and English together, and only when French is set as the default. Any other language, or any other mix, isn't built for that today.
• You need stricter recording controls than a per-event toggle. Otter's auto-join setting applies going forward, but any calendar event where someone already set a toggle manually keeps that setting regardless of later changes to the default. If your organization needs centrally enforced recording rules rather than per-person, per-event settings, check Otter's admin controls before assuming they cover your policy.
• Your meetings involve consistently difficult audio. Heavy accents, technical jargon, cross-talk, or poor microphone quality are the conditions G2 reviewers flagged most often for accuracy problems. If that's most of your calls, budget time to review and correct transcripts rather than treating them as a clean record.
• You need workspace-wide CRM administration on a lower plan. Individual Salesforce and HubSpot connections are available below Enterprise, but connecting the integration for an entire workspace, central admin control, and custom field-mapping templates are Enterprise-only, per Otter's own documentation.
• You need HIPAA documentation you can show a compliance team. Otter's privacy page says it follows HIPAA requirements for health-related information, but it doesn't publish which plan includes a signed business associate agreement. Confirm BAA availability directly with Otter's sales team before recording meetings involving protected health information.