The model is very promising. Transcript quality and accuracy are noticeably better, especially when it comes to correctly handling participant names and key terms.
Galya Dimitrova
Head of Product, Jiminny
Turn speech into structured data. Names, dates, account numbers, and medications come back as typed fields with timestamps — not regex you maintain on top of a transcript.
Enable Entity Detection in your transcription request and receive a structured list of every entity found in the audio, each with its type and exact position.
People, organizations, locations, dates and times, phone numbers, medical conditions, financial details, and more — classified automatically.
Every entity is returned with its category and millisecond-accurate timestamps, so you can act on it in code instead of parsing raw text.
Extract entities from multilingual audio in the same request, powered by our Universal speech-to-text models.
Pull the who, what, and when out of audio without building your own extraction layer.
The model is very promising. Transcript quality and accuracy are noticeably better, especially when it comes to correctly handling participant names and key terms.
Galya Dimitrova
Head of Product, Jiminny
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
AssemblyAI's managed API endpoint and diarization won me over — something Whisper couldn't provide.
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
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