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2026-01-061 min readEnglishtypographyai image generationworkflow

Typography in AI images: why it breaks and how to ship anyway

AI-generated text often turns into gibberish. Here’s why it happens, when it works, and the production workflow designers use to keep typography crisp.

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Why text breaks

Most diffusion models learn text as pixels, not as characters. So you get near-misses: warped glyphs, incorrect spelling, or inconsistent kerning.

When it works

  • Short words
  • High contrast
  • Simple fonts

A production workflow that always works

  • Generate the background and composition first.
  • Bring it into a canvas editor.
  • Add real text layers (editable, crisp, accessible).

FAQ

Q: Are there models that do text better?

A: Some are better, but none are 100% reliable for production typography.

Q: Any prompt tricks?

A: Try “clean headline area”, “legible text”, “poster layout”, but treat it as a layout hint, not final type.

Q: What about logos?

A: Same rule: generate the vibe, then apply the real logo as an asset.