Otter.ai

AI meeting transcription with live notes, summaries, and search

Last verified Aug 5, 2026 · Quality-gated
Quality score 95/100
AI-generated · quality-gated

Overview

Otter.ai is an AI meeting transcription tool that provides live captions, speaker identification, automated summaries and action items, and searchable meeting history for Zoom, Google Meet, and Microsoft Teams. It targets individuals and teams that need reusable, searchable meeting records.

Review

Otter.ai Review: Strong Meeting Notes, Real Caveats

Otter.ai combines live transcription, AI meeting summaries, speaker identification, and searchable meeting history for Zoom, Google Meet, and Microsoft Teams. It is especially useful for recurring meeting workflows, but users should verify AI notes, manage consent for recording bots, and watch its non-rollover minute caps.

Otter.ai is a practical meeting-transcription tool for people who want searchable notes, live captions, and automated follow-up from Zoom, Google Meet, and Microsoft Teams calls. Its core workflow is straightforward: transcribe a conversation in real time, identify speakers where possible, generate a summary and action items, then search or ask Otter AI Chat questions across the meeting record.

The strongest reason to choose Otter is its blend of live transcription and meeting-history retrieval. Rather than treating each call as an isolated recording, it gives users a place to revisit conversations, search for decisions, and query past meetings. Integrations also make it more useful for operational workflows: Pro includes Salesforce, HubSpot, and Zapier integrations, while Business adds unlimited Salesforce and HubSpot sync. The available MCP server may also appeal to teams building AI-assisted workflows around their meeting data.

Pricing requires close attention. Basic is free, with 300 transcription minutes per month, a 30-minute cap per conversation, and only three lifetime audio or video file imports. It retains the 25 most recent conversations, rather than offering an unlimited archive. Those monthly minutes do not roll over, so the free plan is best for occasional use, not as a dependable record of a busy schedule.

Pro costs $16.99 per user monthly or $8.33 per user per month billed annually. It raises the allowance to 1,200 monthly transcription minutes, permits meetings up to 90 minutes, provides 10 monthly imports, and adds unlimited storage and conversation history, team vocabulary, taggable speakers, advanced search/export/playback, and integrations. It is the most sensible tier for an individual who regularly needs a searchable archive, but recurring meeting volume can still run into its non-rollover minute limit.

Business costs $30 per user monthly or $20 per user per month billed annually. It adds unlimited real-time transcription, 6,000 monthly import minutes, meetings up to four hours, three concurrent meetings, administration, analytics, activity logs, and prioritized support. This is the more realistic option for organizations running many live meetings or needing centralized management. Enterprise is custom-priced and adds SSO, SCIM, domain capture, custom retention, API and webhooks, custom integrations, and optional HIPAA compliance. Note that SSO and SCIM carry a 100-user minimum license, which makes Enterprise a poor fit for smaller teams.

Otter's automation should be treated as a drafting aid, not an authoritative record. Transcription accuracy can fall with strong accents, crosstalk, and noisy audio; speaker attribution can also break down when people overlap. Summaries and action items can be wrong or hallucinated, so confirm commitments, decisions, and any high-stakes details against the recording or participants.

There is also a people-and-process issue: an auto-joining recording bot can surprise attendees or conflict with meeting norms and local consent requirements. Otter's consent workflow is limited, so organizations should establish clear notice and approval practices before enabling automated joining.

Bottom line: Otter.ai is a strong fit when live captions, searchable meeting history, CRM connectivity, and cross-meeting AI chat matter more than perfect transcription. Look elsewhere if multilingual performance is central, your calls are routinely noisy or overlapping, or you need more robust consent controls.

Students and teachers with a valid .edu email can get a meaningful discount on Pro: $6.67 per user per month billed annually ($79.99 per year), or $13.59 per user per month billed monthly, via the Student and Teacher Discount link in account settings.

Sources

Pros
  • Live transcription and captions for Zoom, Microsoft Teams, and Google Meet
  • Searchable conversation history and AI Chat across meetings
  • Automated summaries, action items, and speaker identification
  • Pro includes Salesforce, HubSpot, and Zapier integrations
  • Business adds administration, analytics, concurrent meetings, and unlimited real-time transcription
  • Free Basic plan provides a usable option for occasional meetings
Cons
  • Accuracy can decline with strong accents, crosstalk, and noisy audio
  • AI-generated summaries and action items require review for important decisions
  • Speaker attribution may fail when participants talk over one another
  • Free and Pro transcription limits do not roll over each month
  • The free plan allows only three lifetime file imports and retains only 25 recent conversations
  • Auto-joining bots create privacy and consent concerns; SSO/SCIM require a 100-user minimum
Best for
Individuals who need live transcription for Zoom, Google Meet, or Microsoft Teams
Sales and customer-facing teams using Salesforce, HubSpot, or Zapier
Students and teachers eligible for the discounted Pro plan
Teams that want searchable meeting history and AI-assisted follow-up
Verdict Otter.ai is a capable choice for individuals and teams that want live transcription plus an accessible, searchable record of meetings. Pro is the practical starting point for regular use, while Business better suits high-volume, managed deployments. Do not rely on its summaries or speaker labels without review, especially in noisy or high-stakes conversations.