AI & Automation

What is Speech-to-Text (STT)?

Quick Definition

Speech-to-text is technology that converts spoken language into written text in real time. It powers call transcription, voice search, and AI receptionist comprehension.

Speech-to-Text (STT) explained

Speech-to-text (STT), also called automatic speech recognition (ASR) or voice-to-text, is technology that converts spoken language into written text. Modern STT systems use deep learning neural networks to achieve accuracy rates above 95%, even with diverse accents, background noise, and industry-specific terminology. In AI receptionist systems, speech-to-text is the first step in understanding what a caller says: the caller's speech is converted to text, which is then analyzed by natural language processing (NLP) to determine intent and generate an appropriate response. STT also powers call transcription — creating written records of every phone call for review, compliance, and training purposes. Leading STT providers include Google Cloud Speech-to-Text, Amazon Transcribe, Microsoft Azure Speech, OpenAI Whisper, and Deepgram. For businesses, STT-powered transcription eliminates the need to listen to voicemails, provides searchable call records, and enables AI to process and respond to human speech in real time.

Where is speech-to-text (stt) used?

AI receptionists, call transcription, voice assistants, dictation software.

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