Image generators are much better at typography than they used to be, but readable text still requires a more deliberate workflow than a normal image prompt. This checklist is useful for social cards, product mockups, posters, landing-page concepts, and any visual where the words are part of the composition.
Disclosure: I’m sharing this from the GenImageAI product team. The workflow is tool-agnostic, with one transparent product example below.
1. Write the exact text before the visual prompt
Decide the final wording first. Keep the headline short, avoid several font styles in one image, and specify the intended language. Quotation marks around the literal text can help separate copy from scene instructions.
A useful prompt structure is:
- exact text to render
- hierarchy (headline, subtitle, label)
- placement and alignment
- background and subject
- typography characteristics
- output ratio and resolution
For example: “Render the exact headline ‘BUILD SMALL, LEARN FAST’ in a bold geometric sans serif, centered in the upper third. Use a quiet dark-blue background with generous negative space.”
2. Reduce competing constraints
Long prompts often mix copy, lighting, camera details, brand styles, and several objects. When typography matters, simplify the first pass. Establish the text and layout, then add atmosphere or secondary objects in a later edit.
3. Ask for hierarchy, not just a font
A request for “clean typography” is vague. Describe the relationship between elements instead: headline is largest, subtitle is 40% smaller, both are left aligned, and the call-to-action is isolated near the bottom edge. This gives the model a layout system.
4. Inspect character-level errors
Check more than spelling. Look for merged characters, inconsistent capitalization, fake punctuation, clipped strokes, and text that becomes illegible at thumbnail size. Multilingual work needs extra attention to punctuation direction and glyph consistency.
5. Iterate with natural-language edits
When the composition is close, avoid regenerating everything. Request one change at a time: replace the headline, increase contrast, move the subtitle, or preserve all elements except the text block. Small edits make it easier to tell which instruction helped.
6. Export for the actual destination
Test the result where it will be used. A poster can tolerate fine details that disappear in a social preview. For web use, verify the crop at common responsive sizes and make sure important text stays inside a safe area.
A browser-based example
GenImageAI is one workspace that applies this process with GPT Image 2, including high-resolution output, readable-text generation, multilingual designs, and natural-language editing. It has a free usage option, so the checklist can be tested without installing desktop software.
The key lesson is that good text-in-image results come from separating copy decisions, layout decisions, and visual styling. Treat the first generation as a structured draft, then make focused edits instead of asking one prompt to solve every problem.
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