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Nick Morris

Universal 2 - Speech-to-text for conversational data

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Introducing Universal-2: The latest advancement in Speech-to-Text technology. Capture the complexity of human speech, enhanced transcript quality, and better conversational insights by tapping into the next generation of Speech AI.

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Nick Morris
Maker
📌
Five months ago, we introduced Universal-1, our best-in-class Speech-to-Text model that achieved remarkable robustness and accuracy across several industry-critical benchmarks. Today, we're launching Universal-2, which builds upon that foundation to address critical "last-mile" challenges in conversational data. Universal-2 pushes the boundaries of Speech-to-Text technology by improving accuracy in areas that matter most for real-world applications: ⭐️ 24% improvement in the recognition of names, brands, locations, and more ⭐️ 21% increase in accuracy across critical data like phone numbers, zip codes, and other numerical identifiers ⭐️ 15% improvement in transcript structure with proper punctuation and casing for things like emails, dates, and dollar amounts And most importantly, nearly 3/4s of users prefer Universal-2 over other Speech AI models. Universal-2 bridges the gap between raw accuracy metrics and what makes transcripts truly useful—precise formatting, accurate proper nouns, and natural-looking output that businesses can trust. Try it out and let us know what you're building with it!
AnnaHo
@nick_morris4 Universal-2 is an impressive leap forward in Speech-to-Text technology, capturing the nuances of human speech with remarkable accuracy!
Yanlin Wu
It's a great tool for keeping meeting minutes! And also helpful for university students :) Congrats on the launch!
JD Prater
Maker
@linda_yanlin Thank you so much for your kind words! 😊 It means a lot to hear that you're finding value for both meeting minutes and academic work. We specifically designed it with versatility in mind, so it's wonderful to see it helping across different use cases. Your support on our launch day is truly appreciated!
Ivan Xu
The accuracy boost on proper nouns and numbers is a game-changer! 🎯 Been using Universal-1 for our customer call transcripts and those tricky company names and phone numbers were always a pain point. Just tested Universal-2 with some tough audio samples and wow - the difference in formatting and accuracy is night and day. Super impressed with how it handles those "last-mile" details that actually matter in real-world use. Worth the upgrade! 💪
Samuel Bissegger
Congratulations on the launch, @nick_morris4 and Team! Very cool name as well😉. STT model will only gain importance, and quality might be the main differentiator. Keep up the great work!
An
Is it possible to read my knowledge base and extract some professional terminology keyword lists so that common terms in my industry or company can be targeted in subsequent speech material recognition?
Nick Morris
Maker
Hey @an_zuo! Universal-2 is trained on millions of hours of diverse industry audio, so it’s ready to handle specialized terminology out of the box. We recommend giving it a try and seeing if it hits the mark without any customization. For added precision, our features like Custom Spelling can further boost accuracy with unique terms.
Dharmendra chaudahri
It's great to see advancements that address practical challenges.
Huzaifa Shoukat
Massive congrats to the Universal-2 team on today's launch!
Samantha Wright

Universal 2 sounds like a major step forward in speech-to-text technology! Excited to see how it enhances transcript accuracy and conversational insights

Zack Louw

I like anything speech to *****. It applies to so many industries and use cases. I have seen this come in handy especially in the medical space where there is a ton of data capture happening off the back of human interaction.