Otter AI converts spoken conversations into organized, searchable text records in real time. Whether the source is a business meeting, a research interview, a university lecture, or a client call, Otter produces an accurate transcript with speaker identification that becomes a permanent, queryable record of everything spoken.
The live transcription engine converts speech to text as conversation unfolds, with speaker diarization that attributes each segment to its identified speaker. In supported video conference integrations, participants appear by their calendar names rather than generic speaker labels. Real-time caption display shows transcribed text as it is spoken, providing live reference during meetings without waiting for post-call processing — useful for participants who need to follow along with a written record as the conversation happens.
AI-generated meeting summaries distill complete transcripts into structured overviews — key discussion points, decisions made, and action items identified — immediately after recording concludes. The summary is drawn from the actual transcript content rather than from a participant's recall, producing documentation that reflects what was said rather than what was remembered. Action item identification surfaces tasks, commitments, and stated follow-ups from across the full conversation and lists them separately, making obligations visible without requiring a full transcript read.
The AI chat interface accepts questions about any transcript in the archive. Ask what timeline was discussed, who was assigned a specific task, or what was decided about a particular topic — the AI searches the actual transcript and answers from the content. Full-archive cross-search finds specific topics, phrases, or speaker names across all recorded conversations, making the complete history of past meetings queryable by content rather than requiring date-based navigation.
- Live transcription — real-time speaker attribution
- Real-time captions — live display during meeting
- AI meeting summary — decisions actions structured
- Action item detection — commitments extracted separately
- AI transcript chat — question the content directly
- Full-archive search — all meetings by keyword
- Speaker diarization — named participant labeling
- Instant processing — summary post-call minutes
- Business teams — complete searchable meeting records without manual note effort
- Qualitative researchers — accurate speaker-attributed interview transcripts for analysis
- Journalists — verifiable interview records with exact quotes and timestamps
- University students — searchable lecture transcripts for study and exam preparation
Business meetings · Research interviews · Journalism · University lectures · Podcast recording · Legal depositions · Medical consultations · Training sessions · Conference panels · Client calls
Otter AI's breadth of use reflects the universal value of accurate spoken word documentation across professions. Every field that involves consequential conversations — law, medicine, sales, research, management — has traditionally relied on either fallible human note-taking or recordings that require laborious manual review to extract specific information. Otter addresses both limitations simultaneously: the transcript captures everything, and the search and AI chat capabilities make anything in the transcript findable in seconds. The combination turns conversation history from a mass of audio files into a queryable organizational resource.
"Every client call is transcribed and searchable within minutes. When a client later claims they requested something I do not recall agreeing to, I find the transcript and know immediately what was actually said." — Andrea M., Account Manager
"AI transcript chat is the feature I recommend to everyone. I ask what the timeline was and it tells me, with the quote from the meeting. Reading the entire transcript to find one fact is now a last resort." — Owen T., Product Manager
- Go to the installation site using the button above.
- Follow the on-screen instructions to install Otter AI on your Device.
How accurate is Otter's transcription?
Accuracy typically exceeds 90 percent for clear audio with standard accents in quiet environments. Custom vocabulary improves accuracy for domain-specific terminology. Background noise and multiple simultaneous speakers reduce accuracy in proportion to the interference.
Which video conference platforms integrate with Otter?
Zoom, Google Meet, and Microsoft Teams are natively supported with automatic joining and calendar-based named speaker attribution. Other platforms can be recorded through system audio capture without platform-specific integration features.
How quickly is the transcript ready after a recording?
Live transcripts are available during recording. Final processed transcripts with AI summaries typically complete within minutes of the recording ending.
Can transcripts be shared externally?
Yes. Transcripts generate shareable links viewable without an Otter account, and export formats allow distribution through any channel including email and document management systems.