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AI-Generated Text in Images: Why AI Struggles with Letters and Words

Published April 2, 2026 by Which One is AI Team

One of the most reliable ways to identify an AI-generated image is to look at any text within it. Despite enormous advances in image generation quality, AI models continue to struggle with rendering coherent text. Understanding why this happens, and knowing what to look for, gives you a powerful tool in your detection toolkit.

Why Diffusion Models Cannot Spell

To understand why AI fails at text, you need to understand how these models process language. When you type a prompt like "a storefront sign that reads Fresh Bakery," the model does not process the word "Bakery" letter by letter. Instead, the text prompt is converted into tokens, which are chunks of meaning rather than individual characters. The model understands the concept of a bakery sign, but it does not have a reliable mechanism for placing the exact letters B-A-K-E-R-Y in sequence.

Diffusion models generate images by starting with noise and gradually refining it into a coherent picture. They learn patterns from millions of training images, including images that contain text. But the model learns text as a visual pattern rather than as a sequence of specific characters. It knows roughly what English text looks like, but it does not understand spelling rules, character order, or the difference between similar-looking letters.

Common Text Errors to Watch For

When examining an image for AI-generated text, look for these specific issues:

Mirrored and Reversed Letters

AI models sometimes flip individual letters, producing characters that appear backwards. This is especially common with asymmetric letters like R, S, J, and N. A sign might read "OPEN" but with the N facing the wrong direction. Real photographers and real signs rarely produce this error unless the image itself is intentionally mirrored.

Gibberish on Signs and Labels

Look closely at any text visible on signs, storefronts, book covers, T-shirts, or labels. AI frequently generates strings that look like text from a distance but dissolve into meaningless letter combinations when you zoom in. You might see something like "COFHEE SHEP" instead of "COFFEE SHOP." The text approximates the right length and general shape of real words, but the individual characters are wrong.

Inconsistent Fonts Within a Single Element

On a real sign or label, all the letters use the same font and style. AI-generated text sometimes mixes styles within a single word, with some letters appearing bold while others are thin, or some letters using serifs while adjacent ones do not. This inconsistency is a strong signal of AI generation.

Wrong Number of Characters

Because the model does not count characters, it often produces words with too many or too few letters. A prompt asking for "RESTAURANT" might yield a sign with 8 letters or 12 letters instead of 10. This is particularly noticeable with longer words where the model struggles to maintain the correct count.

Floating and Misaligned Text

Real text sits on a baseline and follows the surface it is printed on. AI-generated text may float slightly above a surface, fail to follow the curve of a mug or bottle, or have letters at inconsistent vertical positions. The text may also ignore perspective, appearing flat on a surface that is angled away from the viewer.

How Text Rendering Is Improving

It is worth noting that AI text rendering has improved significantly over the past two years. Early diffusion models produced almost entirely unreadable text, while newer models like DALL-E 3, Midjourney v6, and Flux can sometimes render short words correctly. Some models now use a two-stage approach: generating the image first, then using a separate text-rendering step to place legible text.

However, even the best models still fail regularly, especially with:

• Words longer than 6 to 8 characters
• Multiple lines of text
• Text at small sizes or unusual angles
• Text in non-Latin scripts
• Multiple separate text elements in the same image

Why Text Remains Your Best Detection Tool

While AI has rapidly improved at generating realistic faces, bodies, lighting, and backgrounds, text generation lags behind because it requires a fundamentally different type of understanding. Generating a realistic tree requires learning visual patterns. Generating correct text requires understanding an abstract symbolic system. Until AI models develop genuine character-level awareness, text will remain one of the most dependable ways to catch AI-generated images.

When examining any suspicious image, make text your first checkpoint. Zoom in on every visible sign, label, screen, book spine, or printed surface. If the text is garbled, misspelled, or inconsistent, you have strong evidence of AI generation.

To learn more about the technical process behind AI image creation, see our article on how AI image generators work. For a broader guide to all detection methods, visit our overview on how to spot AI-generated images.