Speech-to-Text is a technology that converts spoken language into written text. It uses algorithms and machine learning to recognize words and phrases from audio input, allowing users to dictate messages, create documents, or control devices hands-free. This technology is commonly found in smartphones, virtual assistants, and transcription services. The process involves capturing sound through a microphone, analyzing the audio signals, and matching them to a database of known words. Speech-to-Text systems can improve over time by learning from user interactions, making them more accurate and efficient in understanding different accents and speech patterns.