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Plain-language AI glossary

Term 42ApplicationsMeaning / context / connections

Applications / Definition

Text-to-Speech (TTS)

AI technology that converts written text into natural-sounding spoken audio, enabling voice interfaces and audio content generation.

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MeaningThe one-sentence definition.

02

ContextHow the idea works in practice.

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UsesWhere the concept becomes useful.

01 / Plain-language context

How Text-to-Speech (TTS) works.

Modern TTS has reached near-human quality. OpenAI's TTS API offers multiple voices with natural intonation and emotion. ElevenLabs provides voice cloning and multilingual synthesis. Google Cloud TTS supports 200+ voices across 40+ languages. These are not the robotic voices of old; current TTS output is often indistinguishable from human speech.

Integrating TTS into your app typically involves: (1) sending text to a TTS API, (2) receiving an audio file (MP3, WAV, or streaming audio), (3) playing it back to the user. For real-time conversational AI (like voice assistants), you stream TTS output so the AI starts speaking before the full response is generated.

For builders, TTS enables: voice-enabled AI assistants, audiobook and podcast generation, accessibility features for visually impaired users, language learning apps with pronunciation examples, and hands-free interfaces. Key considerations: voice selection (match your brand), latency (streaming vs. full generation), and cost (per-character pricing varies significantly across providers).

02 / Practical uses

Where it helps.

  1. 01Voice AI assistants
  2. 02Audiobook and podcast generation
  3. 03Accessibility features
  4. 04Language learning pronunciation
  5. 05Hands-free interfaces