DeepL launches DeepL Voice, real-time, text-based translations from voices and videos

DeepL introduces real-time translations with DeepL Voice for 13 languages.

: DeepL has expanded its translation services to include real-time voice translations with DeepL Voice. Currently supporting 13 languages for voice recognition and subtitles for 33 languages in total, this service provides text-based translations during live conversations and video conferences. The service does not yet offer audio or video output and is primarily integrated with Microsoft Teams. The real-time nature of DeepL Voice aims to support seamless communication in various sectors, with privacy measures in place.

DeepL, a renowned German company valued at $2 billion, is branching out from online text translation to introduce DeepL Voice for real-time voice translations. The service currently supports voice recognition in 13 languages and provides text-based translations, with captions available for 33 languages, focusing on live conversations and video conferencing mainly through Microsoft Teams.

The unique selling point of DeepL Voice is its ability to operate in real-time, making it suitable for immediate interactions unlike many AI services that work with delays. Despite the current limitations, such as the lack of audio or video outputs and wider app integrations, DeepL is emphasizing the development of its proprietary technology over reliance on external large language models.

Addressing privacy concerns, DeepL assures users that while voices are sent to their servers for translation, no data is retained or reused for training their models. The service is anticipated to be useful across different sectors, including the service industry, enabling employees to effectively communicate with a diverse customer base.