Writing Prompts That Render Readable Text in Images

Text inside AI images used to be a running joke: menus full of invented letters, posters with words that almost looked right. Newer models handle typography far better, but only if the prompt gives them what they need. Here is how I write prompts when the words in the image actually matter.

1. Put the exact text in quotation marks

Models treat quoted strings as literal content. Write a poster with the headline "SUMMER MARKET", not a poster about a summer market. Without quotes the model paraphrases, and paraphrasing is where spelling errors creep in.

2. Keep it short

Accuracy drops as text gets longer. One to five words renders reliably; a full sentence is possible; a paragraph usually is not. If you need more copy, generate the image with a short headline and add body text later in a design tool.

3. Say where the text goes

Placement instructions reduce clutter and collisions with the subject. Try phrases like "centered at the top in large letters", "on the shop sign above the door", or "printed on the front of the mug". Giving the text a physical surface, such as a sign, label, or T-shirt, makes it look integrated rather than pasted on.

4. Describe the typography

Name the style rather than a specific font: bold sans-serif, hand-lettered brush script, condensed uppercase, retro neon tubing, engraved serif. Add color and contrast: "white letters on a dark green background". High contrast improves legibility for both the model and your readers.

5. Limit the number of text elements

Ask for one headline, or a headline plus one small line. Every additional block of text is another chance for mistakes. If a design needs a logo, a slogan, and a price, generate them in separate passes or composite them afterward.

6. Spell tricky words carefully

Unusual names, brand words, and long compound terms are the most error-prone. Double-check your own spelling in the prompt, and consider writing difficult words in capital letters, which tend to render more cleanly.

A template you can reuse

[Scene description], with the text "[EXACT WORDS]" [placement], in [typography style], [color] on [background], clean and legible, high contrast.

Example: A cozy bakery storefront at dawn, with the text "FRESH BREAD DAILY" painted on the window, in cream hand-lettered script, warm light, clean and legible.

Fixing mistakes

If one letter is wrong, do not regenerate the whole image. Use an editing model and say exactly what to change: "change the word BRAED to BREAD, keep everything else the same." Targeted edits preserve the composition you already like.

Which model to use

Text rendering varies a lot between models. For signs, posters, thumbnails, and packaging mockups, choose one known for typography. GPT Image 2 is a good option when legible words are the main requirement, especially for short headlines and labels.

With quoted text, clear placement, and a defined style, readable typography stops being luck and becomes a repeatable part of your image workflow.

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