Introducing Global Voice Recognition: Rev.ai in Four More Major World Languages
We’re bringing everything you already love about our English asynchronous ASR model to four new global languages including Spanish, French, German, and Portuguese.
Only 20 Percent Of The World Speaks English
As the world gets more connected and barriers between us shrink, your business’ speech needs are becoming global. The simple truth is that, out of the world’s roughly 7.5 billion inhabitants, only about 1.5 billion speak English. That leaves a lot of data to be explored.
For Both New and Established Global Programs
Whether you need to reduce the resources you already spend working with multiple ASR partners (both technical and otherwise), support your speech-to-text needs to focus on your core business problems, or want to finally expand out into the big, beautiful world by gleaning more data from all of your valuable non-English audio, Rev.ai’s got your back.
Asynchronous speech recognition features
The Best-in-Class Speech Recognition (Yeah, Still)
You’ve come to expect amazing things from Rev in English, and you’ll still be able to expect top-notch accuracy, ease, and speed in French, Portuguese, German, and Spanish, too.
Solutions for *All* of your Asynchronous API Needs
No more hopping around from provider to provider. You can do it all in one location, with us! We’ve built a streamlined offering around this very important use-case for our other global customers.
Security Assurance You Expect and Deserve
With the option to have zero data stored, we’re able to provide access broadly across your organization without risk to your business.
ID Individual Speakers No Matter Their Language
No matter the language, Rev.ai can identify who said what with our diarization flags.
Flexible Ordering for Your Convenience
You’ll be able to transcribe from any cloud storage provider – no limitations for you or your customers (and all ASR orders are accepted via API or website).
Tailor Your Solution for Your Customers
Share unique names, industry-specific terminology, and more to improve the accuracy of your transcripts.