Text-to-Speech
Technology that converts written text into spoken audio using synthesized or cloned voices.
What it does and why it matters
Text-to-speech (TTS) turns written words into audio. Give it text, get back a voice reading it aloud. This technology has been around for decades, but modern AI has made the voices sound genuinely human. No more robotic monotone. Today's TTS can handle emphasis, emotion, pacing, and natural speech patterns.
The use cases are huge. Accessibility is the obvious one. Screen readers for visually impaired users, audiobook production, language learning apps. But it goes way beyond that. YouTube creators use TTS for narration. Businesses generate voice prompts for phone systems. Podcasters create episodes from written scripts. Companies make their apps and products talk.
Modern TTS services like ElevenLabs, Play.ht, and OpenAI's voice API offer multiple voices, languages, and speaking styles. Some let you clone voices from audio samples, which opens up interesting possibilities (and some concerning ones around deepfakes). The quality bar has risen dramatically. In many cases, listeners can't tell the difference between AI and human voices.
The workflow impact is meaningful. Recording human voiceover is expensive and time-consuming. You need talent, studios, multiple takes, editing. TTS gives you instant output that you can regenerate and tweak until it's right. Need the same script in 10 languages? TTS handles that in minutes. The tradeoff is that you lose some of the authenticity and personality of a human speaker, but for many applications, that's acceptable.