Grok's Text to Speech API

The API ships with five voices, each with its own character and range. Some lean warm and conversational, while others sound more formal or energetic. Picking a voice sets the baseline. You can switch between them per request. That matters when one app needs a calm narrator for tutorials and a livelier tone for promotional clips. Instead of building a pipeline of recordings, you flip a parameter and get a different speaker.

Grok's Text to Speech API handles more than twenty languages, which lets a single product speak to users around the world. That makes it a practical multilingual TTS option. You keep one script and render it in the languages you support, rather than hiring separate voice talent for each market. Pronunciation follows the target language, so non-English output sounds native instead of translated, which matters a great deal for any product whose users don't speak English at home. For teams expanding into new regions, this removes a real bottleneck.

Speech tags let you shape how a phrase is spoken by marking it inside the text. You can push emphasis onto a key word, slow a sentence down for clarity, or add a pause where a breath would fall. Those small cues change how listeners read meaning. Plain text can't do that. A product demo line tagged for excitement lands very differently from the same words read straight. This is the feature that gives the API an editing layer, not just a conversion step.

Billing runs on characters, at fifteen dollars per million characters. That model fits speech well, because cost tracks how much you actually say. A prototype that generates a few thousand characters a month costs almost nothing, while a larger app that scales into the millions can forecast its monthly spend directly from its own text volume. There are no per-seat charges or hidden voice fees, so you can plan a budget from the length of your scripts alone.

Text to speech sits alongside speech-to-text and voice agent tools in the same API family. Builders who already use xAI models keep one key, one console, and one billing line. That consistency shortens setup. It also cuts the number of vendors a team has to manage. If your product later needs to listen as well as speak, the neighboring endpoints are already there.