The technology used for real-time transcription of audio to text commonly involves speech recognition systems powered by artificial intelligence. These systems utilize algorithms to convert spoken language into written text almost instantaneously. Advances in machine learning and natural language processing have significantly improved the accuracy and efficiency of these technologies. Real-time transcription is particularly valuable in various settings, such as meetings, medical transcription, and live broadcasts, where capturing spoken content quickly and accurately enhances productivity and accessibility.