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All customer stories
Top Voice AI companies are building with Assembly.
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Latest Release
Universal 3.5 Pro
Our new flagship speech-to-text model handles real-world audio the way it actually happens. Available for real-time and pre-recorded audio.
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Go beyond “Speaker A” and “Speaker B.” Replace generic labels with real names or roles — inferred from the conversation itself, no voice enrollment needed.
Turn on speaker labels and Speaker Identification in your transcription request, and get a transcript where each speaker is labeled by name or role.
Provide names when you know them, or use roles like Agent, Customer, or Host when you know the function but not the person.
The model infers identities from conversational context and names mentioned in the audio — you can add metadata to sharpen accuracy.
Diarization separates who spoke when; identification assigns meaningful labels to those speakers — our widest add-on pairing.
Attribute every line to a real person or role so transcripts read like conversations.
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
