Otter
AIOfficial MCPReal-time meeting notetaker that transcribes conversations, generates summaries, highlights insights, and captures action items.
-(0 Reviews)
Free Available
Starting from Free
Premium plans available
Otter
AIOfficial MCP
Real-time meeting notetaker that transcribes conversations, generates summaries, highlights insights, and captures action items.
-(0 Reviews)
Free Available
Starting from Free
Premium plans available
About Otter
Otter (Otter Meeting Agent) is an AI-driven meeting assistant that records and transcribes live conversations, identifies speakers, and produces searchable transcripts. It generates automated summaries, meeting highlights, action items, and insights to help teams capture and share important moments from meetings, interviews, lectures, and calls. Otter supports live chat during meetings, integration with meeting platforms, and export/organizing features to streamline knowledge capture and collaboration.
Key Features
Real-time Transcription: Continuously transcribes live meetings and conversations with speaker segmentation so users can follow and review dialogue as it occurs.
Automated Summaries: Generates concise automated meeting summaries and highlights that surface key points and reduce time spent reading full transcripts.
Action Items & Insights Extraction: Identifies and extracts action items, decisions, and other meeting insights to support follow-up and task tracking.
Live Chat & Interaction: Provides a live chat interface during meetings for collaborators to comment, ask questions, and annotate the transcript in real time.
Searchable, Shareable Transcripts: Stores transcripts in organized folders with robust search and sharing controls to find and distribute meeting content quickly.
Speaker Identification & Labeling: Detects and attributes speech to different participants, enabling clearer attribution in notes and summaries.
Integrations & Uploads: Integrates with meeting platforms and supports uploading recorded audio/video for transcription and processing (via APIs and third-party tools).
Export & Collaboration Tools: Allows exporting transcripts and summaries in common formats and collaborating on notes across teams.
Real-time transcription of meetings and conversations
Live chat alongside real-time transcription
Automated meeting summaries and highlights
Extraction of insights and action items
Speaker separation / speaker assignment in transcripts
Searchable transcripts and content indexing
Share and export transcripts and summaries
Unofficial Python API (gmchad/otterai-api) providing programmatic access to: User, Speeches, Speakers, Folders, Groups, Notifications endpoints
Unofficial API usage examples: pip-installable package; login via OtterAI.login('USERNAME','PASSWORD'); commands such as get_speeches, get_speech SPEECH_ID, query_speech QUERY SPEECH_ID
Reported ASR accuracy ~85-95% with clear audio and single speakers (third-party benchmark)
Use Cases
Meeting Note Automation: Automatically record and transcribe team meetings, produce summaries and action items, and distribute notes to attendees to speed up post-meeting follow-up.
Interview and Research Capture: Record interviews or qualitative research sessions with searchable transcripts and extracted insights for faster analysis and reference.
Lecture and Class Recording: Transcribe lectures and seminars for students to review, search for specific topics, and extract study highlights and key takeaways.
Customer Call Logging: Capture and summarize customer support or sales calls to document requests, decisions, and action items for CRM entry or training.
Content Creation & Repurposing: Convert recorded conversations and interviews into written content, quotes, and summaries for articles, newsletters, or social posts.
Compliance and Recordkeeping: Maintain timestamped, searchable transcripts of critical conversations for audit trails, legal recordkeeping, or internal reviews.
Remote Team Collaboration: Share synchronized transcripts and highlights across distributed teams to keep stakeholders aligned and preserve institutional knowledge.
Transcribing and indexing meeting conversations for later search and review
Generating automated meeting summaries and action items for team follow-up
Recording and summarizing interviews, lectures, and research conversations
Providing accessibility through live captions and transcripts
Integrating meeting transcripts into workflows via unofficial Python API for analytics or archival
MCP Server
https://help.otter.ai/hc/en-us/articles/35287607569687-Otter-MCP-Serverhttps://mcp.otter.ai/mcp💡 MCP (Model Context Protocol) enables AI assistants to securely interact with local and remote resources.
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