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Otter.ai

AI-powered meeting transcription and automated note-taking

Otter.ai transforms your meetings into searchable, shareable knowledge. With real-time transcription, automated summaries, and action item extraction across Zoom, Microsoft Teams, and Google Meet, Otter ensures nothing gets lost in conversation.

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2016
Founded
AI Meeting Assistant
Category
Free / $16.99 / $30
Pricing (per month)
Zoom / Teams / Meet
Integrations

What is Otter.ai?

Otter.ai is an AI-powered meeting transcription and note-taking platform founded in 2016 by AISense, Inc. It uses advanced automatic speech recognition (ASR) technology to convert spoken conversations into written text in real time. Unlike generic transcription tools that simply produce raw text dumps, Otter.ai is purpose-built for the meeting workflow — it understands the structure of business conversations and automatically generates summaries, extracts action items, and identifies different speakers throughout the discussion.

The platform's flagship feature is OtterPilot, an AI assistant that automatically joins your scheduled Zoom, Microsoft Teams, and Google Meet calls. Once connected to your calendar, OtterPilot silently enters each meeting, transcribes the entire conversation, and generates a structured set of notes that include a summary of key topics discussed, decisions made, and action items assigned to specific participants. This means you can focus entirely on the conversation rather than splitting your attention between listening and note-taking.

Beyond live meetings, Otter.ai serves as a searchable archive of your entire meeting history. Every transcript is indexed and searchable, so you can quickly find specific discussions, decisions, or commitments from weeks or months ago. This is particularly valuable for distributed teams where not everyone can attend every meeting — team members can catch up on missed meetings by reading the AI-generated summary or searching for specific topics within the full transcript.

Otter.ai also integrates with productivity tools like Slack and popular CRM platforms, allowing meeting notes and action items to be automatically shared to the right channels and synced with customer records. For sales teams, this means every customer call is automatically documented and linked to the appropriate deal in the CRM, eliminating the manual work of logging call notes and follow-up tasks after every conversation.

How to Use Otter.ai

Getting started with Otter.ai takes just a few minutes. Sign up at otter.ai with your Google or Microsoft account, then connect your calendar to enable automatic meeting joining. Here is how the core workflows operate:

Automatic Meeting Transcription: Once your calendar is connected, OtterPilot will automatically join your scheduled Zoom, Teams, or Google Meet calls. The AI assistant appears as a participant in the meeting, transcribes everything in real time, and generates notes when the meeting ends. You do not need to start or stop recording manually — Otter handles everything. After the meeting, you receive an email with a link to the full transcript, summary, and action items. You can also access all your meeting notes through the Otter dashboard or mobile app.

Live Transcription During In-Person Meetings: For in-person meetings or phone calls, open the Otter mobile app or web interface and tap the record button. Otter transcribes the audio in real time, displaying the text on screen as people speak. You can add highlights, comments, or photos during the recording. When the meeting ends, Otter processes the full recording and generates the same structured notes, summary, and action items as it does for virtual meetings.

Searching and Sharing Meeting Notes: Every transcript is fully searchable from the Otter dashboard. Type any keyword, phrase, or speaker name to find specific moments across all your meetings. You can share individual meeting notes with colleagues via link, export transcripts as TXT or DOCX files, or set up automatic sharing to Slack channels. For teams, the shared workspace feature lets everyone access meeting notes from any team meeting, creating a centralized knowledge base of every conversation your organization has.

Key Features

🎙️

Real-Time Transcription

Otter.ai converts speech to text as it happens, displaying a live transcript during meetings and recordings. The engine achieves 85-95% accuracy for clear English speech and continuously improves as it learns your vocabulary and speech patterns. Transcripts include timestamps for easy navigation back to specific moments.

🤖

OtterPilot (Auto-Join Meetings)

OtterPilot is Otter's AI assistant that automatically joins your scheduled Zoom, Microsoft Teams, and Google Meet calls. It connects to your calendar, enters meetings on time, records and transcribes the entire conversation, and generates structured notes — all without any manual intervention from you.

📋

Action Items & Summaries

After each meeting, Otter automatically generates a concise summary of key topics discussed, decisions made, and action items assigned to specific participants. Action items include who is responsible and what needs to be done, making it easy to follow up without reviewing the entire transcript.

👥

Speaker Identification

Otter's speaker diarization technology distinguishes between different voices in a conversation and labels each segment with the identified speaker's name. You can train the system to recognize specific team members, and accuracy improves over time as Otter builds voice profiles for your frequent meeting participants.

🔍

Search Across Meetings

Every transcript is indexed and fully searchable from the Otter dashboard. Find specific discussions, decisions, or commitments from any meeting in your history by searching keywords, speaker names, or date ranges. This transforms your meeting archive into a queryable knowledge base for your entire organization.

🔗

Slack & CRM Integration

Automatically share meeting summaries and action items to Slack channels, and sync meeting notes with CRM platforms like Salesforce and HubSpot. For sales teams, every customer call is documented and linked to the appropriate deal record, eliminating manual note-logging after calls.

Worked Examples

Example 1 — Weekly Team Standup: A product team of eight people holds a 30-minute standup every Monday on Zoom. OtterPilot joins automatically, transcribes the call, and generates a summary that lists each person's updates, blockers mentioned, and three action items: "Sarah to finalize the API spec by Wednesday," "James to schedule a design review with the frontend team," and "Maria to escalate the infrastructure issue to DevOps." The summary is automatically posted to the team's Slack channel within five minutes of the meeting ending, so even team members in different time zones can catch up without watching a recording.

Example 2 — Sales Discovery Call: A sales rep conducts a 45-minute discovery call with a prospective enterprise customer on Google Meet. Otter transcribes the entire conversation with speaker labels, captures the prospect's key pain points (manual data entry consuming 20 hours per week, compliance reporting taking three days instead of one), and generates action items including "Send pricing proposal by Friday" and "Schedule technical demo with their IT team." The transcript and summary are automatically synced to the Salesforce opportunity record, giving the sales manager full visibility without asking the rep to write call notes.

Example 3 — Searching Past Decisions: Three months after a product planning meeting, a developer needs to know why the team decided to use PostgreSQL instead of MongoDB for a new microservice. Instead of asking colleagues who may not remember, the developer opens Otter and searches "database decision" across all engineering meetings. Otter surfaces the relevant transcript from the planning meeting, highlighting the exact section where the lead architect explained the reasoning: better support for relational queries and the team's existing PostgreSQL expertise. The developer gets a definitive answer in under 30 seconds.

Pricing

Otter.ai offers three pricing tiers designed for individuals and teams. All plans include real-time transcription and AI-generated summaries. Higher tiers unlock more transcription minutes, longer conversations, and team management features.

Plan Price Minutes Key Features
Basic Free 300 min/month, 30 min/conversation Real-time transcription, AI summaries, Otter AI chat, speaker ID, Zoom/Teams/Meet integration
Pro $16.99 / month 1,200 min/month, 90 min/conversation Everything in Basic + advanced search, custom vocabulary, priority email support, file import transcription
Business $30 / user / month 6,000 min/month, 4 hr/conversation Everything in Pro + admin analytics, SSO, organization-wide deployment, Salesforce & HubSpot CRM sync, usage reporting

Pricing as of April 2026. Annual billing offers discounts. Check otter.ai/pricing for current rates.

Pros & Cons

Pros

  • Excellent real-time transcription accuracy for clear English speech (85-95%)
  • OtterPilot joins Zoom, Teams, and Meet meetings automatically — zero manual effort
  • Searchable meeting archive turns every conversation into queryable organizational knowledge
  • Generous free tier with 300 minutes per month, enough for light meeting schedules
  • Strong integrations with Zoom, Microsoft Teams, Google Meet, Slack, and CRM platforms

Cons

  • Real-time transcription supports English only — no multilingual meeting support
  • Accuracy drops noticeably with heavy accents, overlapping speakers, or poor audio quality
  • Free tier limits conversations to 30 minutes, which is too short for most business meetings
  • No offline transcription capability — requires an internet connection for all processing

Alternatives to Otter.ai

If Otter.ai does not fit your workflow or language requirements, here are four alternatives that offer AI-powered productivity and note-taking from different angles.

Notion AI

AI-powered workspace with writing assistance, Q&A, and database autofill. Better for teams that want meeting notes integrated into a broader project management and documentation platform rather than a standalone transcription tool.

ChatGPT

OpenAI's general-purpose AI assistant that can summarize meeting transcripts, extract action items, and draft follow-up emails. More flexible for ad-hoc tasks but lacks native meeting integration and real-time transcription.

Grammarly

AI writing assistant focused on grammar, clarity, and tone. Complements Otter.ai by polishing meeting follow-up emails and written communications, but does not offer transcription or meeting recording capabilities.

Claude

Anthropic's AI assistant excels at processing long documents and transcripts. Upload a meeting transcript and Claude can summarize key points, identify decisions, and draft follow-up messages with strong accuracy on nuanced content.

Frequently Asked Questions

What is Otter.ai?

Otter.ai is an AI-powered meeting assistant that provides real-time transcription, automated meeting summaries, and action item extraction. It integrates with Zoom, Microsoft Teams, and Google Meet to automatically join and transcribe your meetings. The platform uses advanced speech recognition to identify different speakers and generate searchable, shareable meeting notes that help teams stay aligned without manual note-taking.

How much does Otter.ai cost?

Otter.ai offers three pricing tiers. The Basic plan is free and includes 300 transcription minutes per month with a 30-minute limit per conversation. The Pro plan costs $16.99 per month and provides 1,200 minutes per month with 90-minute conversations. The Business plan costs $30 per user per month and includes 6,000 minutes per month with 4-hour conversations, plus admin controls, CRM integrations, and usage analytics.

How accurate is Otter.ai transcription?

Otter.ai achieves approximately 85-95% transcription accuracy for clear English speech in typical meeting conditions. Accuracy depends on factors such as audio quality, background noise, speaker accents, and the number of simultaneous speakers. The platform performs best with standard American and British English accents and may show reduced accuracy with heavy regional accents or non-native English speakers. Using a good microphone and minimizing background noise significantly improves results.

Does Otter.ai work with Zoom, Teams, and Google Meet?

Yes, Otter.ai integrates with all three major video conferencing platforms. With OtterPilot, the AI assistant can automatically join your scheduled Zoom, Microsoft Teams, and Google Meet calls, transcribe the conversation in real time, and generate notes without any manual intervention. You simply connect your calendar and Otter handles the rest. The integration works by having OtterPilot join as a meeting participant.

Can Otter.ai identify different speakers?

Yes, Otter.ai includes speaker identification (diarization) that can distinguish between different voices in a meeting. It labels each segment of the transcript with the identified speaker's name. You can train the system to recognize specific voices by assigning names to speakers after a meeting, which improves accuracy over time as Otter learns your team's voice profiles and speaking patterns.

Does Otter.ai support languages other than English?

Otter.ai's real-time transcription currently supports English only. This is one of the platform's key limitations compared to some competitors that offer multilingual support. If your meetings are conducted in other languages, you may need to explore alternatives like Microsoft Teams' built-in transcription which supports multiple languages, or dedicated multilingual transcription services such as Whisper-based tools.

Is Otter.ai safe for confidential meetings?

Otter.ai uses encryption for data in transit and at rest. Business plan users get additional security features including SSO, domain capture, and organization-wide admin controls. However, as with any cloud-based transcription service, your meeting audio and transcripts are processed on Otter's servers. Organizations with strict data residency or compliance requirements should review Otter's security documentation and consider whether cloud-based transcription meets their internal policies before deploying it for sensitive conversations.

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