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For reliable wording, give the image generator the exact short text, tell it where and how to render it, and check the result before using it. If the spelling must be exact, the design contains substantial copy, or the lettering is small, generate the image without depending on the model for final typesetting; add or correct the text in a design editor instead. Prompt changes can improve the attempt, but they cannot guarantee flawless lettering.
Why text in AI-generated images goes wrong
Image generators can produce lettering that looks plausible while containing misspellings, substituted characters, repeated words, or shapes that are difficult to read. A prompt can specify what the text should say and where it belongs, but the output still needs inspection. The available guidance does not establish one universal cause for distorted lettering, a guaranteed fix, or a model that always renders text correctly.
That distinction matters when choosing a repair. If a poster headline is misspelled, a better prompt may help on another attempt. If a menu, product label, chart, invitation, or other design must contain exact copy, correcting the final words in a separate text layer is more dependable than repeatedly asking an image generator to redraw them.
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Choose the repair method before changing the prompt
First decide whether the words need to be part of the generated image or merely need to appear in the finished design. The more exact and extensive the copy, the less you should rely on image generation to typeset it unaided.
| Situation | Best starting approach | Why |
|---|---|---|
| One short, prominent phrase; small spelling variations are acceptable during drafting | Try a more literal prompt with explicit wording, placement, and typography. | Short copy and concrete constraints give the generator a clearer target. |
| Exact spelling is essential, such as a name, slogan, date, or product label | Generate the visual with clear space for the words, then add the copy in a design editor. | You can verify and correct text directly rather than accepting a visually plausible approximation. |
| Dense copy, multiple labels, or a complex information layout | Use the generator for imagery and composition; typeset the copy separately. | OpenAI’s guidance specifically recommends considering design-tool polishing for dense layouts or heavy in-image text. |
| A word is wrong in an otherwise usable image | Try a localized edit if the tool supports it; otherwise cover or remove the lettering and replace it in an editor. | A targeted change can preserve more of the composition than asking for a wholly new image. |
This is a workflow decision, not a ranking of image models. The official materials describe prompting, editing features, and limitations; they do not provide controlled text-rendering error rates or establish that one current model is always best.
Write a prompt that gives the lettering clear constraints
Vague instructions such as “make the text look good” leave important decisions open. State the exact words and describe where they go and how they should look. OpenAI’s image prompting guide covers image generation and editing, including `gpt-image-2`; model names and available options can change, so check the current documentation and interface when choosing a model.
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Write the phrase exactly as it should appear, using quotation marks or capitals to distinguish it from your description. Keep it short when you can. If a name or other word is unusual, spell it letter by letter rather than assuming the model will infer the intended spelling.
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For example: Create a clean promotional image for a neighborhood bakery. Include the exact headline “FRESH BREAD DAILY”. Do not add any other words. This gives the generator a literal string to follow; it does not prove or guarantee that the final image will reproduce it correctly.
2. Say where the words belong
Describe placement in relation to the image: for example, “centered at the top,” “on the blank sign on the left,” or “in the open area beneath the illustration.” If the text is meant to sit on a visible object, name that object. Clear placement instructions help distinguish the intended lettering from incidental signs, labels, or decorative marks elsewhere in the scene.
3. Describe how it should look
Specify the font style, approximate size, color, and visual treatment. Useful descriptions might include “large bold sans-serif headline in dark blue” or “small white lettering on the green label.” These are instructions, not promises that the generator will reproduce a particular typeface or exact measurement. Choose a treatment that makes the wording easy to inspect: strong contrast and uncluttered placement are more useful than a long list of decorative effects.
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When generating from or editing an existing image, distinguish the requested change from everything that should remain fixed. For example: Replace only the headline on the sign with “OPEN LATE”. Keep the people, lighting, background, colors, and composition unchanged. Add no other text or logos. Negative constraints such as “no other text” can help when unwanted lettering would be a problem, but the result still needs checking.
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5. Use “sharp text rendering” for dense lettering
OpenAI Academy recommends emphasizing “sharp text rendering” for dense layouts or heavy in-image text. Treat this as a useful instruction, not a quality switch that ensures perfect spelling. The same guidance suggests polishing in a design tool when the layout or volume of text makes that the more reliable route.
Inspect the output before accepting it
Do not judge only by whether the image looks polished at a glance. Zoom in on every word and compare the output against the intended copy. Small lettering, dense text, unusual names, punctuation, and multiple fonts deserve particular attention. If any word is misspelled, unclear, or visually merged with its background, treat the image as a draft rather than a finished asset.
- Check every character: Look for substitutions, missing letters, duplicated letters, and unintended punctuation.
- Read at the size people will see it: A headline may be clear when enlarged but unreadable at its intended display size.
- Check the whole composition: Confirm the text is in the requested location and that no stray words, logos, or lettering appeared elsewhere.
- Verify names and factual copy separately: Compare dates, names, prices, and other important wording with the approved text; do not infer correctness from visual plausibility.
- Consider the script and orientation: A text-edit feature may support some lettering but not the script, rotation, or styling in your image.
The OpenAI API image prompting guide suggests comparing medium or high quality for small text, dense information, or multiple fonts. Quality options and product availability depend on the current model and interface; the guidance is not a published guarantee or a measured success rate.
Make one targeted revision at a time
When an image is close but not right, avoid changing the entire prompt at once. A broad re-prompt can alter the composition as well as the text, making it difficult to tell which change helped. OpenAI Academy’s guidance says, “The best way to improve an image is usually through small, targeted revisions.”
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- Name the specific defect. Say whether the issue is spelling, position, color, size, contrast, or an unwanted extra mark.
- Request one correction. For example: Correct the headline to the exact wording “FRESH BREAD DAILY”. Keep the existing illustration, layout, colors, and other elements unchanged.
- Restate essential constraints. Include the exact text and the important parts that must stay fixed, especially if the composition has drifted in earlier attempts.
- Inspect the new result against the original brief. Check both the corrected lettering and any unintended changes to the rest of the image.
- Switch methods if the same exact-copy defect persists. Use an editor to place the correct text rather than accumulating broad regeneration attempts.
If only one region needs attention and the tool supports editing an existing image, use an edit or a localized markup/selection workflow when available. Specify the affected area and the desired change. This can make an edit easier to target, but preservation of unaffected parts is not guaranteed; check the whole image after each revision.
When to add the text in a design editor
Use a separate text layer when the image must carry exact copy, the words are small, there is a lot to read, or repeated prompting has not produced acceptable lettering. Generate the scene, background, or illustration first, leaving a clean area where the final words belong. Then add the approved copy and adjust its size, position, color, and contrast in the editor.
This separates two different jobs: generating the visual and typesetting the message. It also makes later copy changes easier because you can edit the words without regenerating the surrounding artwork. OpenAI Academy explicitly recommends considering design-tool polishing for dense layouts or heavy in-image text. The source does not prescribe a specific editor or claim that every generated image will have a suitable text-free area, so plan for that space in the prompt and inspect the result.
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- Keep the generated background simple where text will go.
- Use the exact approved wording as editable text rather than retyping it from memory.
- Check contrast and legibility at the final display size.
- Review line breaks and spacing so the finished lettering fits the composition.
- Export and inspect the finished image, since text that looks right in an editor may still be too small or low-contrast in the final layout.
Using Adobe Firefly Boards to edit existing text
Adobe documents a Generative Text Edit feature in Firefly Boards that can detect text on the same baseline as one editable line and let users modify or delete it. This may help with straightforward horizontal Latin text when the feature is available for the product and model in use. The instructions and limits are on Adobe’s Generative Text Edit help page, dated March 17, 2026.
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Adobe lists limitations for emojis, non-Latin characters, skewed or rotated text, heavily stylized 3D text, overlapping elements, and substantially different font sizes. These are meaningful boundaries, not edge cases to assume away: if the lettering falls into one of them, the feature may not be suitable for that correction. Availability also depends on the product and model, so check the current interface rather than assuming every account or image has the same controls.
Adobe also describes a Markup workflow for directing image edits with freehand drawing or a region selection plus a text prompt. See the Firefly Markup help page, dated June 9, 2026. Markup can indicate where an edit should happen; it does not itself make text exact, and you should verify that the rest of the image remains acceptable.
Choose a workflow by the kind of text problem
| Problem | Try this first | Move to a different method when |
|---|---|---|
| The wording is short but misspelled | Ask for the exact phrase in quotes or capitals and request only that correction. | The corrected attempt still contains an error or changes important parts of the image. |
| The text is difficult to read against its background | Request a clearer size, color, placement, or treatment in one targeted revision. | The result remains hard to read at its intended size; add the text as a separate layer. |
| The image contains many words or labels | Generate the visual structure and typeset the copy separately. | This is already the recommended starting point for exact, dense copy; do not spend iterations trying to make the model typeset all of it. |
| One line of horizontal Latin text needs correction | Consider Firefly Boards’ Generative Text Edit if it is available and the text fits its documented constraints. | The text is rotated, overlapping, heavily stylized, non-Latin, emoji-containing, or has major size differences. |
| The change must affect only a particular image area | Use an existing-image edit or markup/selection workflow if supported, and state what must stay unchanged. | Repeated edits alter surrounding content; use a design editor to cover or replace the lettering. |
Common mistakes that make repairs harder
- Giving only a vague quality request: “Make the text better” does not identify the wording, location, or style. Supply the exact phrase and concrete visual constraints.
- Putting too much copy into the image-generation prompt: Long, dense wording raises the stakes for legibility. For substantial copy, add editable text after generating the image.
- Changing several things in every iteration: If you alter the words, layout, color, and background together, you cannot easily tell what fixed the problem. Isolate the correction.
- Assuming an edit tool is a proofreader: Text-editing features have supported formats and known limitations. They do not replace checking the result against the approved copy.
- Accepting a word because it looks plausible: Inspect uncommon names and factual details character by character.
- Regenerating the whole image for a local defect: Try a targeted edit when available; if the model cannot preserve the rest reliably, repair the lettering separately.
- Assuming one model is universally best at text: The available official sources do not establish a controlled model comparison or universal winner.
How to evaluate a text-rendering workflow
If you are choosing between generation or editing options, compare the controls relevant to your actual image instead of relying on a broad claim that one tool “does text better.” The official guidance describes capabilities and constraints, not a controlled scorecard.
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- Existing-image editing: Can the tool revise your current image, or does it require a new generation?
- Local control: Can you target one text region and preserve the unaffected areas well enough for your use?
- Text format: Does the workflow support the script, orientation, style, and density the design needs?
- Final correction: Can you place or adjust the final wording in a separate editable text layer?
For OpenAI image generation and editing, consult the current API image prompting documentation rather than relying on a model name or option remembered from an older interface. The page describes `gpt-image-2` and says GPT Image 1.5 is scheduled to shut down on December 1, 2026; schedules and model availability are volatile, so verify current status before building a workflow around them.
Frequently Asked Questions
Can a prompt guarantee correctly spelled text in an image?
No. Literal wording and specific visual constraints clarify the request, but the output still has to be checked. For copy that must be exact, add or correct it in a design editor.
Is Adobe Firefly Boards text editing suitable for every kind of lettering?
No. Adobe documents limitations including non-Latin characters, emojis, rotated or skewed text, overlapping elements, heavily stylized 3D text, and substantially different font sizes. Feature availability also depends on the product and model.
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