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Voice-to-text technology converts spoken language into written text in real time using automatic speech recognition (ASR). It captures audio from a microphone or recording and processes it through machine-learning models trained to understand accents, intonation, and context. Voice-to-text improves accessibility, boosts productivity, and enables hands-free interaction. It’s widely used in virtual assistants, transcription services, customer support, smart devices, and note-taking tools. Continuous advancements in AI make results increasingly accurate, fast, and adaptable across languages and environments.
