New Universal-3.5 Pro is here. Learn more: Async Realtime
Features

Sentiment Analysis

Know how every conversation went. Classify sentiment as positive, neutral, or negative — sentence by sentence, and per speaker when diarization is on.

Get started with less than 10 lines of code

Enable Sentiment Analysis in your transcription request and receive a sentiment label and confidence score for every sentence in the audio.

Sentiment at the sentence level

Every sentence is classified positive, neutral, or negative with a confidence score and timestamps — granular enough for real conversation analytics.

Attributed to each speaker

Turn on speaker labels and sentiment is tied to who said it, so you can compare agent and customer tone across a call.

One toggle to add

An easy first step into conversation intelligence — enable it alongside transcription with no extra pipeline to build.

Use cases

Measure how conversations feel

Add tone to every transcript so you can see what’s working and what isn’t.

Score customer service quality

Flag calls that went sideways

Compare agent vs. customer tone

Track sentiment over time

Enrich call analytics

Coach teams with real examples

Prioritize churn-risk accounts

Gauge reactions to launches

Join 200K+ developers building new experiences with voice data

Our free to paid conversion rate doubled after implementing AssemblyAI.

Colin Treseler

Colin Treseler

Founder & CEO, Supernormal

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

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

Lindsay Liu

Co-Founder & CEO, Super

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

Josh Mohrer

Josh Mohrer

Founder, Wave.co

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

Mark Barbir

Mark Barbir

CEO, Earmark

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

Raj Shankar

Raj Shankar

SVP Product, Calabrio

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

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

Dr. Shane Lynn

CEO, EdgeTier