Similarly, one of DeepL Voice’s unique selling points is that it will work in real time, which is important since a lot of “AI translation” services on the market actually work on a delay, making them harder or impossible to use in live situations, which is the use-case that DeepL is addressing.

Kutylowski hinted that this was another reason behind why the new voice-processing product is focusing on text-based translations: They can be computed and produced very fast, while processing and AI architecture still has a way to go before being able to produce audio and video as quickly.