What is Otter.ai?
Otter.ai is a dedicated conversation-record system for live meetings, in-person recordings, and uploaded audio or video. It can produce live transcription, identify speakers, capture slides, generate summaries and action items, answer questions about conversations, and organize results for individuals or a workspace. Its Notetaker joins supported Zoom, Google Meet, and Microsoft Teams calls as a guest participant.
The product is broader than a transcription utility but narrower than an all-in-one workspace. That focus is useful when the transcript itself is an important artifact: interviews, lectures, customer calls, research sessions, and recurring team meetings. It also means privacy, sharing, and retention deserve the same attention as summary quality.
Capture and review workflow
Otter can record through its web, desktop, and mobile apps or send Notetaker to a supported video meeting. The Notetaker overview says the bot is not anonymous; it appears as a guest. The desktop app can capture system audio, while browser and microphone behavior depends on operating-system restrictions. Importing a source file is another option when a recording already exists.
After capture, users can edit text and speaker labels, search, play synchronized audio, highlight moments, add takeaways, and export supported formats. Automated slide capture can add visual context from virtual meetings. Otter Chat can answer questions within or across allowed conversations, but current plans cap queries differently.
Accuracy should be evaluated with actual accents, terminology, overlap, room acoustics, and meeting platforms. Voice training and custom vocabulary may improve labeling, but do not make quotations reliable by default. Verify numbers, dates, negation, decisions, and action owners against playback before circulating minutes.
Recording permission and participant notice
Otter's recording-permissions guide describes several notice layers. Accounts can send an email to calendar guests before a scheduled recording. Notetaker appears in the participant list and can post a chat message with the live transcript. A host can remove it when someone objects.
For Microsoft Teams, an Enterprise Outlook workflow can route attendees through a permission page before entry. Otter describes this as affirmative permission. Zoom has separate host and participant prompts depending on configuration. Google Meet typically relies on the named bot and chat announcement.
These mechanisms vary by platform and setting. Ad hoc calls, manual app recordings, missing calendar guests, or disabled chat can bypass part of the notice chain. Use invitation language plus an opening announcement, and document a non-recording alternative. Do not enable auto-join for every calendar event until exclusions and external-meeting rules are tested.
Privacy, training, and retention
Otter collects audio recordings, transcripts, uploaded content, slide screenshots, speaker-identification information, calendar metadata, and usage events needed by its features. Its privacy policy says one purpose is improving and monitoring the service, including training proprietary AI on de-identified audio recordings and on transcriptions, which may contain personal information. This is a material difference from tools that state customer meetings are not used for training by default.
Enterprise documentation describes stronger controls, including custom retention, centralized conversation management, recording controls, and restrictions associated with HIPAA arrangements. Buyers should obtain the applicable service agreement rather than assume consumer policy language and Enterprise contractual terms are identical.
Sharing settings can keep a conversation private or share it with workspace members. Owners choose viewer or collaborator permissions and whether export is allowed. Live-transcript chat links and automatic sharing require special care: participants should not receive broader editing or re-sharing rights by accident.
Custom data-retention policy is currently an Enterprise control managed with Otter. Test what deletion removes from conversations, audio, transcript, summaries, channels, exports, integrations, and backups. Also test account offboarding and participant requests; a non-account participant may need to contact the meeting owner.
Plans and limits
The official Otter pricing page currently lists Basic, Pro, Business, and Enterprise. Basic includes 300 monthly transcription minutes, a limited recent history, and three lifetime file imports. Pro raises recording minutes, imports, meeting length, vocabulary, search, export, and playback capabilities. Business provides unlimited meetings and in-app recordings in the current presentation, longer meetings, more imports, concurrent attendance, and administration. Enterprise adds SSO, SCIM, domain controls, custom retention, API or webhooks, and other governance features.
Read the comparison table carefully. “Unlimited in-app recordings” can coexist with separate imported-file minutes, per-conversation duration, AI Chat queries, workspace-size limits, and integration rules. Run a representative month before selecting a plan.
Who should choose it?
Otter is a practical choice for people who value live transcription and a durable, editable conversation archive. It is less attractive when bot-free capture, strict data minimization, or a clear default no-training posture is the primary requirement.
Compare Fireflies.ai for broader automation and conversation intelligence, Fathom for a generous individual meeting workflow, and Read AI for coaching and connected workplace search. The best AI meeting assistants guide provides a role-based comparison.
A responsible pilot
Choose meetings whose participants can give informed permission and whose content is safe for evaluation. Use the team's real platforms, accents, terminology, and audio conditions. Score critical-word accuracy, speaker attribution, decisions, action owners, correction time, notice success, accidental auto-joins, sharing defaults, and deletion behavior. Compare the reviewed minutes—not the raw transcript—with the current manual process.
Before rollout, assign owners for consent language, excluded meeting types, workspace permissions, retention, participant requests, training-related review, exports, and incident response. Test an employee departure and a request from an external attendee. A transcript is valuable only when the organization can explain why it was created, who can see it, how errors are corrected, and when every associated copy should be removed.
Visit the official Otter.ai website