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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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Classify what your audio is about against the IAB Content Taxonomy — the standard categories used across content libraries, ad-tech, and media monitoring — at scale.
Enable Topic Detection in your transcription request and receive relevant IAB categories for the whole file, plus timestamped segments with relevance scores.
A standardized, hierarchical taxonomy purpose-built for content description — so your categories mean the same thing everywhere they’re used.
Each detected topic comes back with timestamps and a 0–1 relevance score, plus a summary of how each topic relates to the entire file.
Categorize hours of audio consistently across large content libraries — ideal for contextual advertising and media monitoring.
Sort, route, and monetize audio by what it’s actually about.
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
