Otter

Overview

Otter is an AI-powered meeting agent designed to streamline the way teams capture, document, and leverage conversations. As an AI notetaker, it automatically joins meetings on leading video conferencing platforms, records discussions in real time, and generates accurate transcriptions that allow participants to remain fully engaged without the distraction of manual note-taking. The service is delivered through a web platform, mobile apps, and desktop clients, ensuring that meeting documentation is accessible wherever work happens.

From a technical standpoint, Otter employs advanced speech recognition and natural language processing to convert spoken language into searchable text. It is capable of distinguishing multiple speakers, assigning text to individual participants, and timestamping utterances for easy reference. Beyond basic transcription, the AI engine analyzes meeting content to produce concise summaries, extract actionable items, and highlight key decisions, providing users with structured meeting insights that can be reviewed immediately or circulated after the session. These insights are designed to reduce the overhead associated with meeting follow-ups and ensure accountability across teams.

Collaboration is a core component of the platform. Users can edit transcripts for accuracy, add comments and highlights, and share notes with internal or external stakeholders. The search functionality makes it possible to locate specific topics, decisions, or tasks across the entire meeting history, turning conversations into a reusable knowledge asset. Otter also provides the ability to organize meetings into folders, which helps teams maintain a clean and structured repository of documentation.

Otter is built for professionals and teams who value productivity and thorough documentation. It supports a wide range of use cases, including internal syncs, client consultations, academic lectures, interviews, and webinars. By offloading documentation to an AI agent, users can focus on meaningful discussion, ensure follow-through on action items, and maintain a searchable organizational knowledge base across meetings. With its combination of transcription, summarization, and collaboration features, Otter positions itself as a practical AI solution for turning conversation into coherent, structured data.

Core capabilities

AI Notetaker

Automatically joins supported video meetings to capture and document conversations.

Real-Time Transcription

Converts meeting speech into accurate, timestamped text as it happens.

Speaker Identification

Distinguishes multiple participants and attributes text to each speaker.

Automatic Summaries

Generates concise meeting summaries using AI after sessions conclude.

Insight Extraction

Identifies action items, key decisions, and important topics for quick review.

Platform Integrations

Works with major conferencing platforms to seamlessly join and record meetings.

Collaborative Editing

Enables users to edit transcripts, leave comments, and highlight critical sections.

Searchable Notes

Allows fast retrieval of keywords, topics, or action items from the full meeting history.

Use cases

Capturing key decisions in recurring team meetings

Documenting client consultations and discovery calls

Transcribing academic lectures and research interviews

Generating actionable summaries for webinars or workshops

Building a searchable knowledge base from internal presentations

Supporting content creation with accurate quotes and references