Real-time speech-to-text technology converts spoken words into text instantaneously, enabling live captions, meeting transcriptions, and voice commands with minimal delay. Unlike batch processing, which requires complete recordings, this method processes audio in small chunks, allowing for immediate interaction and corrections. The system captures audio continuously, and the AI model provides partial text results almost instantly, refining them as more context is available. This technology is crucial for applications like live captions for accessibility, voice-activated commands, and meeting transcriptions, offering benefits such as low latency, speaker identification, and real-time error correction. Implementation options range from cloud service APIs, which provide flexibility and scalability, to dedicated transcription applications for individual or small team use. Despite challenges like background noise and overlapping speech, modern systems maintain high accuracy through specialized training and noise suppression.