Readable text in your AI images: posters and thumbnails

You get readable text in an AI image by keeping the text short, spelling out exactly what it should say, and rendering at high resolution with a model that's strong at text. For a long time image models treated letters as a kind of texture, which is why titles on posters, labels on packaging and words on thumbnails often came out garbled or misspelled. The latest models are far better at this, but only if you give them the right instructions.

Why AI models so often garble text

The core issue: many image models "understand" a word as a concept, not as an exact string of letters. They're trained on image-caption pairs and see text in a photo as a visual pattern, not as symbols that have to be right letter by letter. That's how "OPENING" ends up as "OPNEING".

It gets worse as the text grows longer. According to the STRICT benchmark (arXiv, 2025), the accuracy of most image models drops noticeably once the requested text exceeds roughly 200 characters, partly because of the 77-token limit of the classic text encoder (CLIP). In short: the more text you ask for, the greater the chance of errors.

Keep the text short and spell it exactly

Ask for as little text at a time as you can. A single short heading or label comes out correct more reliably than a full paragraph. For standalone labels, 1 to 10 words per text element works best.

• Put the exact text in quotation marks in your prompt, for example: the poster shows the text "SUMMER 2026".
• Spell it precisely as it should appear, including capitals and punctuation.
• Describe placement and style separately, for example "at the top, in a clean sans-serif font".
• Split a long message into a short heading and a separate subline instead of one long sentence.

The more concrete you are about what it says and where, the less the model has to "guess".

Pick a model trained on text

Not every model is equally good with letters. Choose deliberately based on your task.

• Long or multilingual text: Nano Banana Pro (Gemini 3 Pro Image) is built for correctly readable text in images, from a short tagline to a longer paragraph, and renders up to 2K and 4K.
• Short headings and labels: Seedream 4.5 renders short titles and captions crisply; a higher resolution produces cleaner typography.
• Quick testing: use a faster, cheaper model to find the composition, and only switch to a premium model for the final render with sharp text.

Always render text at a generous resolution. Small letters at low resolution blur into each other faster. In the AI Photo Generator you choose both the model and the resolution, and you pay per render from freely topped-up credit.

Multilingual text and localizing

Want the same image in several languages? Modern models render text in different writing systems and can localize or translate an existing design. That lets you make a poster or thumbnail in Dutch first and then in English or German without rebuilding everything.

One caveat: the further a script is from the Latin alphabet, the more a model can drift. For languages you don't read yourself, always check the text against a reliable source before publishing.

Fix wrong text without redoing everything

Is the image right but one word off? Don't regenerate the whole thing. With inpainting you edit only the section with the error while the rest of the photo stays intact.

1. In the AI Photo Editor, select only the area with the wrong text.
2. Describe exactly what text should be there.
3. Regenerate and leave the rest of the image untouched.

That way you fix a title or label without losing a composition that already works, which saves renders and therefore costs.

Frequently asked questions

Why does text in AI images often come out misspelled?

Because many models treat text as a visual pattern rather than an exact string of letters. They know the concept of a word, not its spelling. The latest models have improved a lot here, especially with short text.

How much text can I safely ask for in one image?

Keep it short. Research (STRICT benchmark, 2025) shows the accuracy of many models drops above roughly 200 characters. A short heading or label works more reliably than a full paragraph.

Which model is best for text in images?

For longer or multilingual text, Nano Banana Pro is strong; for short headings and labels, Seedream 4.5 works well. With either, render at a generous resolution for sharp letters.

How do I fix one wrong word without remaking everything?

Use inpainting: select only the area with the error and regenerate just that. The rest of your image stays unchanged, which saves renders and costs.

Want a poster, packaging or thumbnail with text that's actually correct? Create an account and test your first design with the model that fits your text.