Google DeepMind releases AI model for mobile sign language translation
Google DeepMind has unveiled SL2T, an AI model that translates sign language into text in real time. The technology is being rolled out in Android applications such as Gboard and Live Transcribe.
What happened?
Google DeepMind has introduced its new multilingual sign-language-to-text (SL2T) AI model. The model translates sign language directly into written text in real time. The technology is now being rolled out in consumer products such as the Gboard keyboard app and the Live Transcribe accessibility app on Android devices.
Key facts
| Lanseringsdatum | 12 augusti 2026 |
|---|---|
| Modellnamn | SL2T (sign-language-to-text) |
| Målgrupp globalt | 70 miljoner döva och hörselskadade |
| Antal teckenspråk globalt | Över 200 språk |
Why it matters
While voice and text-based AI have advanced rapidly, sign language has been more difficult to digitise as it requires the visual interpretation of body language, hand gestures and facial expressions. Consequently, approximately 70 million deaf people globally have lacked equivalent automatic translation tools in their daily lives.
Who is affected?
The solution is primarily aimed at deaf and hard-of-hearing individuals who use one of the world's more than 200 different sign languages. It also concerns developers and users within the Android ecosystem who require accessibility tools for two-way communication.
Impact on the EU
Google has not indicated any specific EU restrictions for the new sign language features in Android, meaning the technology is expected to be available globally wherever Gboard and Live Transcribe are supported.
What else you should know
Historically, automatic sign language recognition has struggled to achieve commercial quality due to a lack of large-scale and diverse training data. By integrating SL2T directly into standard operating system apps, Google is moving from research project to a large-scale consumer product.
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