INTRODUCING UNIVERSAL-3 Pro Streaming
The most accurate real-time transcription model for voice agents
Universal-3 Pro Streaming gives your voice agents the accuracy, speed, and real-time control to handle real conversations at scale — rare word recognition, turn detection, context memory, and more.
Try Universal-3 Pro StreamingSee the difference in real-time
Speak naturally. Universal-3 Pro Streaming captures what other models miss — try credit card numbers, email addresses, passwords, or company names.
Built with the capabilities that make or break voice agent deployments
Audio-contextual turn detection, seamless interruption handling, and high reliability on short utterances. Universal-3 Pro Streaming handles what other models can't.
Features | AssemblyAI Universal-3 Pro Streaming | Deepgram Nova-3 | OpenAI GPT-4o Transcribe | Microsoft Azure | ElevenLabs Scribe V2 |
|---|---|---|---|---|---|
(lower is better) Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations.  | 16.7% | 25.2% | 23.3% | 25.1% | 22.1% |
Speaker diarization performance Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. | Industry Leading | Unreliable | Unreliable | Unreliable |  |
Unlimited concurrency, no rate limits Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. | Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations.  | | | | |
Dynamic keyterms prompting (turn-by-turn) Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. | Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. | Static only | Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. | Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. | Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. |
Real-time prompting Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. | Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. | | Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. | Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. | Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. |
Usage-based pricing, no contracts Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. | Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. | Commitments, overages, & rate limits | Commitments, overages, & rate limits | Commitments, overages, & rate limits | Commitments, overages, & rate limits |
LiveKit / Pipecat / Twilio native support Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. | Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. | Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. | Partial | Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. | Identify a wide range of entities that are spoken in your audio files, such as person and company names, email addresses, dates, and locations. |
Real-time accuracy where voice agents actually operate
Universal-3 Pro Streaming improves over Universal-Streaming, delivering accuracy in conditions voice agents actually face: telephony, accented speech, high-turn-taking conversations, and noisy call center environments.
Missed Entity Rate: Universal-3 Pro Streaming vs. Universal-Streaming
Lower is better · % of entities not correctly transcribed
Entity Recognition on actual customer data
Names, dates, policy numbers, credit card numbers — the entities that drive outcomes are the ones most models get wrong. Universal-3 Pro Streaming delivers the lowest missed entity rates on real-world audio.
Missed Entity Rate by Category — All Providers
Lower is better · Universal-3-Pro Streaming highlighted
Word Error Rate (%)
Lower is better · English, all domains
See the performance on your own files
Reach out to our Applied AI team to run latency and accuracy benchmarks on your own data.
Built for production voice agents
Every feature engineered for the demands of real voice agent infrastructure.
Industry-leading entity accuracy
Best-in-class recognition of credit card numbers, emails, URLs, passwords, and account numbers — the structured data voice agents act on.
Unlimited concurrency, no rate limits
Scale from a single call to millions without hitting limits or renegotiating contracts. Truly pay-as-you-go — no commitments required.
Real-time speaker diarization
Identify and separate speakers mid-conversation. Enable as a per-session toggle — no extra configuration needed.
Dynamic key term prompting
Boost up to 1,000 domain-specific terms, updated turn-by-turn mid-conversation. Unlike static alternatives, ours adapt in real time.
One-line integrations
Native support for LiveKit, PipeCat, Twilio, and Daily. Go from sign-up to a production voice agent in under 15 minutes.
Guide transcription behavior with natural language in streaming mode. Start with our prompt templates — experiment and share what works.
Sub-200ms end-to-end latency
Best-in-class recognition of credit card numbers, emails, URLs, passwords, and account numbers — the structured data voice agents act on.
Open community models
We've built the best voice AI inference infrastructure in the world — and we're opening it to community models, starting with Whisper Streaming.
Global language coverage
Full prompting with keyterms, diarization, and audio tagging in English, Spanish, German, French, Portuguese, and Italian
More on Universal-3 Pro Streaming
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Build what’s next on the platform powering thousands of the industry’s leading of Voice AI apps.
