An infographic is the hardest thing most people ask an image model to do. It is not one picture but a layout: a reading order, a set of labels, and a hierarchy the eye can follow without being told.
Most guides answer this with tool lists. This one answers it with a brief: what to decide before writing the prompt, which documented controls map to which decision, and where the result still needs a second pass.
What separates an infographic from an illustration
Getting this wrong is why first attempts come back pretty and unreadable.
- An illustration has one subject and no order; an infographic has several subjects and a required order
- An infographic carries text that must be spelled correctly — step names, axis labels, part names — so every word you add is a rendering risk you chose to take
- An infographic is judged at thumbnail size first; if the largest element is not the headline or the main shape, it fails before anyone reads it
- An infographic usually has to fit a frame it will be pasted into, such as a slide or a vertical feed image
So the brief has two jobs: fix the reading order, and fix the frame.
Write the brief before the prompt
Six lines beat six paragraphs. Write these down first, then translate them.
- Reading order — say it as a path: “left to right, four panels, equal weight” or “top to bottom, then a summary band”
- Element count — a number, not an adjective. “Four panels” and “some steps” produce different images
- Label list — the exact words that will appear inside the image, and nothing else
- Palette and weight — how many colours, and which element is the largest
- Frame — the aspect ratio you actually need, not the one that looks nice
- Exclusions — what must not appear: extra icons, decorative flourishes, invented logos, text you did not list
Anything you leave unspecified is filled in for you, and invented lettering is the most common defect in a generated infographic.
Set the frame with aspect ratio and sketch
Two documented controls do most of the layout work.
- GPT Image 2.5 generates images in any aspect ratio: use the aspect ratio picker, or state the ratio in the prompt
- State it in the prompt anyway — describing a tall four-panel column and also picking a ratio is how you keep the two from fighting
- Sketch lets you draw directly in ChatGPT as a reference for the final image, which for infographics is the cheapest way to show panel positions, as we cover in drawing with Sketch in GPT Image 2.5
- A rough sketch of four boxes is often worth more than two sentences of layout description
If the layout is the hard part, sketch the layout and describe only the content.
Keep the text inside the image short
Text rendering is a documented improvement in this generation, and the release lists sharper detail among its gains. No accuracy figure is published, so treat every word as a risk.
- Put labels in the image and prose outside it: the article, the slide notes or the caption carry the explanation
- Prefer nouns and numbers to sentences — “Step 3: Cool” survives, a twelve-word instruction usually does not
- When text must be exact, quote it in the prompt and repeat it as a list, so the model sees the same string twice
- Fewer, larger labels render more reliably than many small ones
For work where the lettering carries the message, see text rendering in GPT Image 2.5.
Treat templates as a starting point
Templates exist for common formats, and OpenAI’s help centre documents the path: open the sidebar, select Images, select Templates, choose a category, then a template, then add your details.
- The documented examples are formats such as flyers and product photos, with named choices like Poster and Merch
- A template fixes composition habits — where a headline sits, how much room the image leaves — which is exactly the part people struggle with
- Templates are not yet available in Work mode, as the help centre states directly
- A template gives you a frame, not your information hierarchy; you still supply the reading order and the label list
Two worked examples: a process diagram and a comparison grid
Both briefs below use the six lines from earlier. Run them as written, then change one line at a time.
- Process diagram (vertical, four steps). Prompt: “A clean four-step vertical process diagram. Four equal panels stacked top to bottom, each with a simple line icon on the left and a short label on the right. Labels, in order: Grind, Bloom, Pour, Serve. Background off-white, one accent colour only, thin black outline icons, plenty of white space. No extra text, no decorative flourishes, no logos. Tall 3:4 image.” Check the result in this order: are there exactly four panels, are the four labels spelled correctly and in order, and is the largest element the panel stack rather than an icon.
- Comparison grid (two by two). Prompt: “A two-by-two comparison grid on a light background. Four equal cells separated by thin lines, each cell contains one small isometric object and two short labels underneath. Cell labels: Plan, Build, Ship, Learn. One accent colour, flat vector style, generous margins, no text other than the eight labels. Square 1:1 image.” Check whether the cells are genuinely equal, whether all eight labels appear, and whether any cell has been replaced by decoration.
Both examples are deliberately label-light: an explanation paragraph belongs around the image, not inside it.
Fix one label without redrawing the page
Regenerating a whole infographic to correct a typo is how layouts get lost.
- Comments can be placed directly on an image for more focused editing, which is the documented way to point at one region
- The second documented route is to describe the change in the conversation panel without using the selection tool
- OpenAI states the limit plainly: highlights are not always precise, and edits may extend beyond the area you selected, so verify the neighbouring panels after every fix
- The editor also offers Undo, Redo and a Cancel that starts over, which is what makes one-label corrections safe to attempt
We walk through the workflow in comment editing in GPT Image 2.5.
Where infographics still break down
Plan for these four, because no prompt removes them.
- Dense paragraphs inside the image: the more prose you put in, the likelier a word is misspelled
- Numbers and units: keep them short, and re-read them at full size rather than at thumbnail size
- Exact brand lettering: generated logos and wordmarks are reconstructions, not the real asset
- Precision edits: corrections are documented to sometimes spill past the area you marked, so re-check the whole panel after each change
The honest workflow is two passes: brief and generate, then correct the labels.
Frequently asked questions
Can GPT Image 2.5 make an infographic from a document?
It generates images from a prompt, so the work is in converting the document into a reading order and a label list. That conversion decides quality, not the model choice.
Should I write the image’s text in the prompt in full?
Yes, and quote it exactly. Then repeat the label list so the string appears twice. Keep each label short; a long sentence inside an image is the most common failure mode.
Do templates cover infographic formats?
The documented examples are common formats such as flyers and product photos, with named choices like Poster and Merch. The help centre notes templates are not yet available in Work mode.
Can I fix one misspelled label without regenerating?
That is what comments on the image are for. Mark the region, describe the correction, then check the panels around it — OpenAI states edits may extend beyond the selection. Control details are in the GPT Image 2.5 overview.