We recognise that supporting the languages that you need to do business is important to you

There are many challenges with using automatic speech recognition within real-world applications including noisy environments, different dialects, accents and context specifics. So, we are using our expertise to provide solutions, enabling ASR to be used effectively within use-cases regardless of the environmental conditions.

Arabic English Italian Portuguese
Bulgarian Finnish Japanese Romanian
Catalan French Korean Russian
Croatian German Latvian Slovakian
Czech Greek Lithuanian Slovenian
Danish Hindi Mandarin Spanish
Dutch Hungarian Polish Swedish

 
Get in touch to discuss how you can make the most of our language offering.

Research Languages

We are continually innovating to ensure our language offering is both relevant and far-reaching. We have several languages in research and are seeking data to further train these models. If you have a need for a language that isn’t listed above, we’d love to hear from you.

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Global English

You shouldn’t have to adjust the way you speak so that speech recognition systems can understand you, let us worry about that.

Australian English, American English, Jamaican English, African English, which do you choose? With Global English, you don’t have to worry about selecting your accent from a drop-down menu anymore. Global English is a single English language pack which supports all major English accents for use in speech-to-text transcription.

Trained on thousands of hours of spoken data from over 40 countries and tens of billions of words drawn from global sources, you no longer have to worry about your accent being understood.

Simply select Global English and let the technology do the talking, so to speak.

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The Automatic Linguist

We’re dedicated to providing the best speech recognition services possible to our global customers and have developed an innovative machine learning framework called The Automatic Linguist. The framework allows us to build new languages quicker than ever before, proving this when it built Hindi in just one week.

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