At its core, Voice-to-Text AI uses Automatic Speech Recognition (ASR) — a technology that analyzes audio signals, detects speech patterns, and converts them into digital text using deep learning models and language processing algorithms . This allows the system to understand different accents, tones, and speaking styles with impressive accuracy.