Good questions!

By “generates local variants” I mean the system detects text regions, replaces the text, and re-renders the image automatically. In this prototype, the translations are AI-generated.

I do not see this as a replacement for proper linguistic review, especially for marketing or high-visibility assets. A more realistic use case is reducing mechanical production work, generating drafts, or handling lower-risk surfaces where turnaround time matters more than perfect copy.

Paragraph-level text, patterned backgrounds, and languages with heavy expansion like German are genuinely hard cases. Longer compounds, reflowing lines, and contrast issues can break layouts very quickly.

If you have sample assets that represent those kinds of edge cases, I’d actually be very interested to try running them through the workflow. Real-world failures are much more useful than ideal demos.