If you have ever tried to generate a poster, a product label, or a banner with an AI image tool, you already know the problem: the text comes out garbled, misspelled, or completely made up.

This is the single biggest practical limitation of AI image generators for commercial work.

The Text Rendering Problem

Most AI image generators treat text as a visual texture rather than semantic content. They learn to approximate the look of text rather than generate specific, accurate characters.

The result: ask for a poster that says "Summer Sale 50% Off" and you get something that looks like text at a glance but falls apart under inspection.

How Each Model Performs

DALL-E 3

Text accuracy: ~70-80% for short phrases. Breaks down on longer sentences, numbers, and non-Latin scripts.

Midjourney v6

Text accuracy: ~40-50%. Still unreliable for anything you would put in front of a client.

FLUX.1 Pro

Reaches ~85% accuracy for Latin scripts.…