What is Otter.ai?

Otter.ai is an AI-powered meeting assistant and transcription tool that joins your Zoom, Microsoft Teams, and Google Meet calls to record, transcribe, and summarize conversations in real time. It turns spoken meetings into searchable text, automatically generates summaries and action items, and lets you ask questions about past meetings through AI Chat.

That's the short version. Below is a full breakdown of what Otter.ai actually does, who built it, what it costs as of July 2026, and how it compares to the two names people ask about most often in the same breath: Fireflies.ai and Fathom.

Company Background

Otter.ai was founded in 2016 as AISense by Sam Liang and Yun Fu, two engineers with a background in speech recognition and AI research. The company is headquartered in Mountain View, California, and Sam Liang serves as CEO. AISense raised a $3 million seed round later that year, followed by a $10 million Series A in 2017 and a $40 million Series B in February 2021, bringing total funding to roughly $80 million, according to Crunchbase.

The product started as a general-purpose voice note app before evolving into the meeting-focused assistant it is today. Otter for Teams launched in 2019, live meeting notes for Zoom arrived in 2020, and OtterPilot (the automated meeting-joining feature, since folded into what Otter now calls the Otter Meeting Agent) launched in February 2023. By its own April 2026 announcement, Otter reports more than 35 million users and over 1 billion meetings transcribed, and says 86% of Fortune 500 companies use the product in some form.

How Otter.ai Works

Otter's core workflow has four parts, and understanding them helps explain both what it's good at and where it falls short of purpose-built sales or coaching tools.

Live transcription. Otter transcribes speech to text as the conversation happens, not just after the meeting ends. It identifies individual speakers, supports multiple languages (English, French, Spanish, Japanese, German, and Mandarin among them), and produces a searchable transcript you can review, edit, or export once the call wraps.

Otter Meeting Agent. This is Otter's AI notetaker. It can join scheduled meetings automatically across Zoom, Microsoft Teams, and Google Meet through calendar integration, or you can run it through a desktop app that captures audio without a visible bot joining the call. Either way, it produces a transcript and post-meeting summary without anyone manually hitting record.

AI Chat. Otter AI Chat lets you query your own meeting history in natural language, pulling answers, follow-up drafts, and reports from across meetings you've recorded and apps you've connected. Instead of scrolling through a transcript to find what a specific person said last Tuesday, you ask the question directly.

Summaries and action items. After each meeting, Otter generates a written summary with key decisions and next steps, and it automatically pulls out action items and assigns them where speaker context makes ownership clear. Otter also connects to more than a dozen third-party tools, including Salesforce, HubSpot, Slack, Jira, Notion, and Dropbox, so meeting output can flow into the systems teams already use.

Key Facts

• Otter.ai reports more than 35 million users and over 1 billion meetings transcribed as of its April 2026 announcement, per Otter.ai's own company blog.
• Otter reports that 86% of Fortune 500 companies use the product in some capacity, per the same April 2026 announcement.
• Otter.ai was founded in 2016 as AISense and has raised approximately $80 million across a seed round, Series A, and Series B, per Crunchbase.
• The free Basic plan caps transcription at 300 minutes per month with a 30-minute limit per individual meeting, verified directly against Otter's pricing page in July 2026.
• A federal class-action lawsuit filed in California in August 2025 alleges Otter records private conversations without the consent of all participants and uses that audio to train its AI models, per NPR's reporting.
• The consolidated complaint against Otter was filed on December 5, 2025, and Otter's motion to dismiss was heard on May 20, 2026, with a ruling still pending as of this writing, per Recording Law's case summary.
• The average knowledge worker now spends 11.3 hours a week in meetings, 28% of the entire workweek, per Microsoft's 2026 Work Trend Index, a big part of why note-taking automation has become a mainstream category rather than a niche tool.

Otter.ai Pricing in July 2026

Prices below were checked directly against Otter's pricing page in July 2026. This category changes its pricing often, so confirm the current numbers before you buy.

For a side-by-side view of how these tiers stack up against 13 other tools in the category, see our Best AI Meeting Assistants and Notetakers in 2026 roundup.

Who Otter.ai Is For

Otter is a general-purpose meeting documentation tool, not a sales-specific platform. That distinction matters when you're deciding whether it fits your team.

• Cross-functional teams that need searchable meeting history. Product, ops, HR, and leadership teams that run internal meetings, all-hands, and project syncs benefit from Otter's full-text search across every recorded meeting, without needing sales-specific deal fields.
• Education. Otter for Education targets students and lecture capture, a use case that has been part of the product since 2018.
• Individual professionals and small teams. The free Basic tier and low-friction Pro plan make Otter an easy first AI notetaker for people who don't control a company-wide software budget.
• Sales teams with light CRM needs. Otter can transcribe and summarize sales calls, but its native CRM write-back is thinner than tools built specifically for revenue teams. Our Otter vs Fireflies vs Fathom comparison breaks down exactly where that gap shows up for sales leaders evaluating deal visibility and CRM data quality.

If you're comparing Otter against a wider transcription category rather than just meeting notetakers, our Best AI Transcription Tools in 2026 guide covers tools built for interviews, podcasts, and longer-form audio, not just live meetings.

Otter.ai vs Fireflies vs Fathom

Otter, Fireflies, and Fathom get compared constantly because they solve overlapping problems in different ways. Here's the short version.

The full picture, including enterprise controls, coaching features, and pricing at 10/25/100 seats, is in our dedicated Otter vs Fireflies vs Fathom breakdown. If you're specifically evaluating conversation intelligence for a revenue team rather than general meeting notes, our guide to choosing conversation intelligence software and Gong vs Chorus vs Fathom cover the tier above Otter and Fathom built for deal coaching and forecasting.

Privacy and Accuracy Limitations

Otter carries real limitations worth knowing before you deploy it broadly.

Recording consent. Otter's meeting bot records and transmits audio for every participant on a call, not just the person who added it, and consent laws vary by state and country. Otter was banned by the University of Massachusetts specifically for violating all-party consent recording requirements, and a class-action lawsuit filed in California in August 2025 alleges the company records conversations without proper consent to train its AI models. Otter's CEO has publicly disputed the allegations, arguing the practice is standard across the AI notetaker category. The case was still pending a ruling as of mid-2026. Check your state or country's consent laws, and your own company's recording policy, before rolling Otter out company-wide.

Transcription accuracy varies. Like any speech-to-text system, Otter's accuracy drops with heavy accents, technical jargon, overlapping speakers, and poor audio quality. Custom vocabulary settings help but don't eliminate the gap. Treat auto-generated summaries as a starting draft, not a verbatim legal record.

It isn't built for deal coaching. Otter has no native keyword tracker for objection handling, no rep scorecards, and no deal-stage automation. Teams that need those features consistently end up evaluating Fireflies, tl;dv, or Avoma instead, as covered in our ai meeting notes agent breakdown and the broader meeting intelligence pattern overview.

For teams weighing Otter against the wider category of embedded AI assistants rather than standalone notetakers, our explainer on AI copilots covers how tools like Otter relate to assistants built directly into other software, and our conversational AI explainer covers the underlying technology category. If you're thinking about meeting AI as part of a broader productivity rollout, AI meeting notes and summaries and sales call recording and transcript analysis go deeper into the surrounding use cases.

Part of the AI Terms Collection. Updated July 2026.