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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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Send a file or URL and get back accurate, formatted text with speaker labels, word-level timestamps, and confidence scores. Universal-3 Pro nails the hard stuff—entities, rare words, and domain terms—out of the box.
Revenue came in at 12.4 million this quarter, up 30 percent year over year.
And how did Northwind Robotics perform against the forecast?
They beat it—strong contribution from the enterprise segment.
Universal-3 Pro captures the hard stuff—entities, rare words, and domain-specific terminology—without tuning.
Submit audio or video up to 5GB by URL or upload; the SDK uploads, submits, and polls for you across common formats.
Get speaker diarization, word-level timestamps, and confidence scores in structured JSON, plus optional Speech Understanding add-ons.
36%
improvement in close rate
“The new Universal-3.5 Pro speech model from AssemblyAI is best so far in terms of accuracy, latency, and language switching.”
80%
increase in customer satisfaction
“Assembly has saved us countless hours managing models, and provided exceptional accuracy.”
36%
improvement in close rate
“The new Universal-3.5 Pro speech model from AssemblyAI is best so far in terms of accuracy, latency, and language switching.”
80%
increase in customer satisfaction
“Assembly has saved us countless hours managing models, and provided exceptional accuracy.”
Grab your API key, point the SDK at a file or URL, and it handles upload, submission, and polling for you. You get structured JSON back with everything attached, so you can build and iterate fast.
Start building freeNo credit card required
Word error rate is the share of words the model gets wrong against a human reference—the standard measure of transcription accuracy on pre-recorded audio.
Pre-recorded word error rate on English audio.
*Lower is better*Source: AssemblyAI published benchmarks — assemblyai.com/benchmarks.
