How we launched over 70 new languages on DeepL

In a significant expansion effort, DeepL launched over 70 new languages, tripling the number of languages available on its platform, and marking a strategic priority driven by customer demand and internal collaboration across various departments. The initiative involved creating a scalable language model using large language models (LLMs) to handle multiple languages, which allowed for more efficient and impactful language additions. To enhance the user experience, adjustments such as a favorites section in the language selector and improvements in language detection were implemented to maintain ease of use despite the expanded language offering. A new technical infrastructure facilitated a simultaneous launch across all platforms, ensuring consistency in user experience and accommodating different platform requirements, such as document translation and mobile apps. This integrated approach not only streamlined the rollout process but also set the stage for accelerated future innovations, leveraging the expertise and coordination of DeepL's multidisciplinary teams.