The hidden cost of caption churn in multilingual meetings

Voice translation tools are revolutionizing global business collaboration by enabling more inclusive and efficient multilingual meetings through real-time on-screen captions. However, the usability of these tools is often hindered by unstable meeting captions, which can cause distractions and disrupt conversations. The Slator study evaluated AI-generated captions from various platforms, assessing translation quality and stability, and found DeepL Voice to be the leader in both areas. DeepL Voice achieved a high score in combined caption stability and translation accuracy, reducing churn significantly compared to competitors like Microsoft Teams and Zoom. This makes DeepL Voice particularly effective for high-stakes meetings where accuracy and reliability are crucial, as stable captions enhance communication by allowing ideas to take center stage without the interference of caption flicker.

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