Real-time transcription technology, which converts live speech into written text using Automatic Speech Recognition (ASR) and Artificial Intelligence (AI), is revolutionizing communication across various industries. It differs from traditional methods by offering instant transcription, improving accessibility and user experience for any live content or communication. Real-time transcription has significant impacts on accessibility, business efficiency, multilingual communication, journalism, legal use, and healthcare. However, accuracy remains a challenge due to speaker variations, background noise, homophones, simultaneous speech, and the volume of training data. Ongoing research aims to address these issues. The future potential of real-time transcription includes advancements in AI, insights from Natural Language Processing (NLP), improved human-computer interaction, knowledge management, and language translation.