This is the text rendering category inside our awesome GPT Image 2 prompts hub. It focuses on examples, prompt structure, recommended aspect ratios, and the kind of writing that works best for this visual task.
Text rendering works best when the prompt keeps wording short, isolates each text zone, and avoids tiny paragraphs. Instead of asking for a complete brochure inside the image, define a few large labels, strong contrast, and clear spacing.
Inside this category, the most useful prompts usually answer three questions at once: what the main visual subject is, what the viewer should notice first, and what the image is ultimately meant to support. When those three layers are clear, text rendering results in GPT Image 2 tend to become much more stable and much easier to refine.
Start with one headline or three short labels. Generate the visual hierarchy first, then add exact long copy later in design software. This keeps the image useful even when the model imperfectly renders small text.
If you are working in a team, the cleanest workflow is to choose the example closest to your target, send it into the generator, and then change one variable at a time. That gives you a clearer way to discuss whether subject choice, light treatment, aspect ratio, or tone is moving the result in the right direction.
Examples
A safer text-rendering prompt that uses short labels, clear zones, and high contrast instead of asking for dense copy inside the image.
Prompt
Create a clean product feature card for a compact desk robot. Use three short readable label zones: 'Smart Control', 'Metal Frame', and 'Home Assistant'. Keep the labels large, isolated, and high contrast. Do not add long paragraphs or tiny legal text.
Use these prompts for ad headlines, product feature cards, simple event posters, title-safe mockups, and layout drafts where text zones matter more than final typography.
If you are still unsure whether to pursue this direction, ask two simple questions: is this style closer to the channel or campaign you are building for, and does it leave enough space for later layout and brand information? If the answer is yes, this category is usually worth testing first.
Start from the example closest to your goal, then refine it around your own brand, subject, and channel. That is usually more efficient than writing from a blank box.
