Features

Speaker Diarization

Unlock the full power of your audio content with industry-leading speaker diarization. Identify speakers to create structured, speaker-labeled transcripts that bring clarity to even the most complex conversations.

Use our API

Label every speaker in your transcripts with less than 10 lines of code

Enable Speaker Diarization in your transcription request and receive a detailed transcript with a list of utterances, each attributed to a speaker, with timestamps.

See how in docs

Maximize speaker count accuracy

Enhance conversation analysis and speaker-dependent AI models with industry-leading diarization accuracy, a 2.9% error rate in identifying the number of speakers, outperforming competitors.

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Broaden your application’s reach

Support speaker diarization in 95 languages, enabling multilingual audio analysis and expanding your product’s global market potential.

See languages

Improve quality and readability

Reduce speaker misattribution and transcription errors, enabling cleaner data for NLP tasks and a better user experience in speech-to-text applications.

See how in docs

Use cases

Make every voice count

Separate speakers to unlock structure, insight, and readability in every conversation.

Improve transcript readability

Unlock call center insights

Create searchable, structured transcripts

Assess communication patterns

Optimize short-form content generation

Analyze agent vs. customer behavior

Reliable summarization and LLM analysis

Measure talk time by speaker

Join 200K+ developers building new experiences with voice data

AssemblyAI's managed API endpoint and diarization won me over — something Whisper couldn't provide.

Josh Mohrer

Founder, Wave.co

If you have an hour of content, the difference between 99% accuracy and 97% accuracy, it's a lot of time for that person to review. So you could cut down their workflow from taking half an hour, to 20 minutes, to 15 minutes — it's huge, right?

Joshua Grossberg

CTO, Kapwing

Investments in STT improvements always pay for themselves, since it is such a critical building block of the voice pipeline.

Lindsay Liu

Co-Founder & CEO, Super

We needed a provider that could scale with us — offering unlimited concurrent streams, fair pricing, and responsive support.

Mark Barbir

CEO, Earmark

The transcription accuracy, reliability, and speed of AssemblyAI's API have greatly enhanced our operations.

Raj Shankar

SVP Product, Calabrio

Our free to paid conversion rate doubled after implementing AssemblyAI.

Colin Treseler

Founder & CEO, Supernormal

The accuracy was strong, but the great documentation and unique models like Auto Chapters and Sentiment Analysis is what really won us over.

Nathan Webb

Product Manager, Aloware

Calls are and will remain a pertinent part of the customer service journey. Customer service isn't moving entirely to chatbots or chat interactions.

Dr. Shane Lynn

CEO, EdgeTier