Detailed explanation
Speech-to-Text (STT) or ASR (Automatic Speech Recognition) relies on deep learning models that handle many languages, accents and background noise. It powers dictation, meeting transcription, captions and voice commands.
Examples
Zoom meeting transcription
YouTube auto-captions
iPhone voice dictation
Whisper (OpenAI)
Frequently asked questions
How accurate is it?
Top models exceed 95% in good conditions; noise, accents and domain jargon reduce quality.
Related terms
API
An interface that lets an application call a service's functions — including an AI model — via HTTP requests.
Text-to-Speech
Technology that synthesizes a realistic voice from written text.
Multimodal
The ability of an AI model to understand and generate multiple modalities (text, image, audio, video) inside a single system.
Deep Learning
A subfield of machine learning using deep neural networks to learn complex representations.
Last updated: 7/15/2026