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Text-to-Speech API
Our first text-to-speech model, AssemblyAI-TTS-1, is built for voice agents, on live calls. It sounds natural, responds fast, and keeps callers on the line.
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Medical Mode is a domain add-on for our speech-to-text API that catches the drug names, dosages, and conditions general models miss—reducing medical entity errors by up to 87%. Set one parameter on Universal-3.5 Pro or Universal-3.6 Pro Realtime, no pipeline changes.
Let's keep you on Lisinopril 10 milligrams daily for the blood pressure.
Got it. And the one for my blood sugar?
Metformin, twice a day with meals.
Tuned for medical entities, it corrects medication names, procedures, conditions, and dosages that general models get wrong.
Turn it on by setting the domain to medical-v1 on the same Universal-3.5 Pro or Universal-3.6 Pro Realtime call—no changes to your existing pipeline.
Pairs with speaker diarization and PII redaction. A Business Associate Agreement (BAA) is available for customers processing PHI, backed by a SOC 2 Type 2 report.
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.”
Add one parameter—set the domain to medical-v1—to any pre-recorded or streaming request and Medical Mode applies automatically, in English, Spanish, German, and French, for $0.15/hr on top of the base model. Sign up free, drop in your API key, and pipe clean transcripts into an LLM for SOAP notes or summaries.
Start building freeNo credit card required
On medical audio, missed entity rate measures how often medications, dosages, and conditions are dropped or garbled—the errors that break a downstream note.
Medical missed entity rate, the Medical Mode lineup as published on assemblyai.com/modes/medical.
*Lower is better*Source: AssemblyAI published Medical Mode benchmark, assemblyai.com/modes/medical and assemblyai.com/use-cases/medical-transcription.
