Text-to-Speech (TTS) is the AI technology that converts written text into spoken audio. Modern TTS can produce remarkably natural, human-sounding voices.
What it means in plain English
TTS takes text and reads it aloud in a synthetic voice. Early systems sounded robotic and flat, but AI-based TTS now generates speech with natural intonation, rhythm, and even emotion — often hard to distinguish from a human voice actor. It is the output side of voice AI, complementing speech recognition on the input side.
It has become good enough for professional use in videos, audiobooks, and accessibility tools.
A simple example
When a navigation app speaks directions, an article offers a “listen” button, or a creator generates a voiceover without recording, text-to-speech is turning the written words into natural-sounding audio.
Why it matters
TTS makes content accessible to people who cannot or prefer not to read, and lets creators produce professional voiceovers from a text box. As AI voices approach human quality, it is transforming audio content, accessibility, and voice interfaces.
Related terms
- Speech Recognition — the reverse process, turning speech into text.
- Generative AI — the broader category modern TTS belongs to.
- Deep Learning — powers natural-sounding TTS.
Frequently asked questions
What is text-to-speech?
Text-to-speech (TTS) converts written text into spoken audio using synthetic voices, enabling voiceovers, accessibility, and voice assistants.
How natural do AI voices sound now?
Modern neural TTS can sound remarkably natural and expressive, though quality varies by tool and voice, and the field is advancing quickly.
