Rev.com Launches Live Captions for Zoom
Rev.com has made its speech-to-text engine available for Zoom users to add live, real-time captions to their meetings. The company has integrated its artificial intelligence with the virtual meeting platform, allowing the Rev Live Captions app to deliver live captions instantly on screen in Zoom.
Rev displays native text within the interface. It requires a one-time setup without the need to schedule each meeting with a provider to enable the captions. Users can also save and distribute transcripts or caption files immediately after their Zoom sessions end.
"Zoom is where everything is happening now, from business meetings to weddings to school classrooms to yoga classes. We felt it was important to leverage our industry-leading speech technology to create a more accessible, engaging virtual environment," said Mark Chen, seniotr vice president of product and operations at Rev.com, in a statement. "Captions are a necessity for some in these new virtual environments. They aid in clear communication, which can support schools' and businesses' overall productivity while remote."
"Rev's Live Captions have become an integral part of Teachers College Columbia University's remote learning and student engagement and efforts since COVID-19. Not only do they help ensure live events, classes, and faculty meetings are accessible to all, but they also improve conversation flow by providing a greater understanding for what's being discussed," said Dr. John Park, director of academic technology at Teachers College, in a statement. "We've tested other services for live broadcasts, and Rev has been the most accurate, cost-effective, and easiest to set up and scale."
Rev offers free access to its speech recognition engine to support online learning accessibility and comprehension.
Powered by Rev's proprietary speech engine, the Rev.ai API makes it easy for developers to build speech recognition directly into applications and services. The new capability processes live audio or video .
Results from Word Error Rate (WER) testing reveal newly launched proprietary speech recognition service outperforms tech giants Google, Amazon and Microsoft in AI Speech-to-Text Accuracy.