AI image generators are great at mood, lighting, composition, and visual style.

But the moment you ask for a poster, a product mockup, a blog cover, or an Open Graph image with actual text on it, things can get messy fast.

You have probably seen it:

letters that look almost correct but are not real words

product labels with random extra characters

UI mockups where the layout looks good but the copy is nonsense

beautiful social preview images that still need manual cleanup in Figma or Photoshop

For developers, this is especially frustrating because many of our visual assets are text-heavy. Blog covers, documentation headers, app screenshots, landing page hero images, launch graphics, and social cards all depend on readable words.

After testing a few workflows, I have found that the best results usually come from treating text generation as a design constraint, not as an afterthought.

Here is the workflow I use.

1.…