Otter.ai
AI meeting notetaker that transcribes calls, summarizes them, and pulls out action items in real time.
Pick Otter.ai if you live in Zoom/Meet/Teams calls and want automatic transcripts, summaries, and action items pushed into Slack or your CRM.
Skip it if you need a programmable speech-to-text API, on-prem deployment, or transcription of pre-recorded archives at scale.
Otter.ai is a meeting transcription and assistant platform that joins (or records) your video calls, produces a speaker-attributed transcript in real time, then layers an AI summary, decision log, and action-item list on top. It hooks into Zoom, Google Meet, and Microsoft Teams as a bot, ships desktop recorders for bot-free capture on Mac and Windows, and exposes everything through an AI chat that can answer questions across your meeting history.
It's aimed squarely at sales teams, recruiters, educators, and operators who live in back-to-back calls and need someone (or something) to take notes. The free Basic plan is genuinely usable for light personal use, and the Business tier at $19.99/user/month unlocks 6,000 transcription minutes, collaborative editing, file uploads, and CRM pushes to Salesforce and HubSpot. Enterprise pricing is custom and adds SSO, admin controls, and tighter compliance.
The integration footprint is the real selling point: Slack, Notion, Jira, Asana, Google Calendar, Dropbox, and an MCP server that lets Claude or ChatGPT query your meeting corpus directly. There is no documented public REST API for general developer use, so if you need programmatic transcription pipelines, a dedicated speech-to-text vendor will fit better than Otter.
Otter is the default consumer-grade meeting notetaker for a reason: the free tier works, the bot integrations are mature, and the AI chat across meeting history is legitimately useful. It's a productivity tool, not a developer platform, so treat it like one and don't expect API hooks.
— The AI Tool Bible editorial team
Pros
- ✅ Genuinely free tier covers casual meeting notes without a trial clock
- ✅ Joins Zoom/Meet/Teams as a bot and ships desktop bot-free recording
- ✅ Strong CRM and workspace integrations (Salesforce, HubSpot, Slack, Notion)
- ✅ MCP server lets Claude/ChatGPT query your meeting history directly
Cons
- ⚠️ No general developer API for programmatic transcription workflows
- ⚠️ Bot-in-meeting model can feel intrusive on sensitive calls
- ⚠️ Accuracy on heavy accents and crosstalk still lags dedicated ASR vendors
Use cases
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