Read every character
Compare capitalization, punctuation, accents, numbers, currency, date formats, URLs, and line breaks against the approved source.
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Replacement brief builder
Build a narrow instruction here, then send it directly to the generator prompt above. Exact quoted copy is easier to inspect than “change the title.”
Edit only the large centered headline at the top. Replace the exact visible text "SUMMER SALE" with "AUTUMN EDIT". Match the existing type style, weight, color, alignment, perspective, spacing, and surface texture. Preserve the person, product, logo, colors, lighting, background, crop, and all other text. Do not add any other words or redesign the image.
Real replacement evidence
This source/output pair makes one literal replacement: “OPEN DAILY” becomes “OPEN LATE.” The fictional café name, cup illustration, moon, frame, orange rules, palette, hierarchy, and letterpress character remain consistent. It shows what an AI text editor in image files should do: replace the words, not redesign the poster.
Quote the original and replacement. Do not ask the model to “improve the poster,” because that authorizes a redesign.
Name the text box, alignment, line count, reading order, and maximum area the new phrase can occupy.
Read every character at 100%, then compare crop, illustration edges, border geometry, colors, and all untouched copy.
A convincing thumbnail can hide a misspelling, changed price, bent logo, or reconstructed face. Separate the checks so visual quality does not distract from copy accuracy.
Compare capitalization, punctuation, accents, numbers, currency, date formats, URLs, and line breaks against the approved source.
Check weight, letter spacing, baseline, alignment, perspective, outline, shadow, texture, and whether the replacement looks native to the surface.
Look at faces, hands, product edges, packaging geometry, logos, background objects, crop, lighting, and all text outside the target region.
View the image at the size and compression used by the store, ad, menu, post, or presentation. Small text that works at 100% may fail in context.
Generative editing is strongest when text is fused into a photographed or illustrated surface. A normal design editor remains safer when the copy is already a selectable layer or must be reproduced exactly across many versions.
Good fit when the original layout is flattened and the replacement should inherit print texture, perspective, lighting, or illustration style. Keep the edit to one text region per pass.
Useful for a concept and visual review. Preserve package geometry and brand marks, but rebuild approved production artwork from source files before printing.
Possible for a draft, but every digit, separator, and qualifier is high risk. Use a layout tool for the final asset when customers act on the information.
Useful for visualizing revised copy in context. Do not present the generated pixels as a functional interface, and keep the real UI text in code or design components.
Poor fit. Replace the content in an editable document or design file. Generated raster text is not searchable, accessible, selectable, or reliable enough for authoritative information.
Upload the original image, state the exact text that is visible now, state the exact replacement, identify where it appears, and list everything that must stay unchanged. Generate one controlled pass, then proofread the output at full size.
It can often reconstruct a similar type style, weight, color, perspective, and surface treatment, but it does not extract or guarantee the original font file. Name visible font traits and review letterforms, spacing, and alignment rather than assuming a perfect match.
Posters, signs, labels, menus, packaging, and social graphics with large legible text and a clean surrounding background are the best starting points. Tiny copy, glare, folds, low resolution, ornate lettering, and text crossing a face or complex texture need more review.
That is the goal of a preserve list. Tell the model to change only the named text region and preserve people, product geometry, logo placement, colors, lighting, texture, camera angle, crop, and all other copy. Generative edits can still drift, so compare the result against the source.
Yes. Enter the original phrase and the translated replacement as exact quoted copy. A translation can expand or contract, so also specify whether the text should fit the existing box, wrap to a second line, or use a slightly smaller size.
Image generation is probabilistic, especially with long, small, curved, stylized, or low-contrast text. Keep each edit narrow, quote the exact replacement, request no extra text, and rerun or finish critical typography in a layout editor when exact copy is mandatory.
Use it only for a visual draft. Prices, ingredients, warnings, medical information, financial claims, dates, URLs, and legal lines need a source-of-truth layout file and human approval. Do not treat generated pixels as authoritative copy.
The page opens GPT Image 2 because it supports image editing and text-rich visual work. The visible model selector remains available, so you can compare another compatible image-editing model while keeping the same replacement brief.
A traditional image text editor works on editable layers: select the text tool, click the text object, type the replacement, and re-export. That requires the original design file with live text layers. An AI image text editor works on a flattened raster image where the text has already been merged into the surface — letterpress texture, perspective distortion, shadow, and surface reflection included.
The model uses image-to-image editing to mask the target text region and reconstruct it with the replacement copy, matching the original font weight, color, perspective, and surface treatment as closely as it can infer from the surrounding pixels. It does not extract a font file or open an editable layer — it regenerates the text region as new image pixels.
Use an AI text editor in image workflows when you do not have the original design file — a JPEG from a vendor, a finished ad from an agency, a screenshot, a scanned menu, or an image where the text is fused into the surface. If you have the source file, editing the live text layer is faster and more accurate.
Both terms describe the same task. "Image text editor" usually refers to graphics — posters, labels, mockups. "Photo text editor" usually means text overlaid on photographs — a sign in a street photo, an event banner in a venue picture. The workflow is the same: quote the original, quote the replacement, protect everything else.
The model infers font, spacing, and rendering from visible pixels rather than reading a font file. It can drift, misspell, or change texture. Prices, phone numbers, URLs, and legal copy need human verification at 100% zoom and are usually better handled in a design tool with the source file.
An AI text editor in image workflow is the right path when you do not control the original project — a screenshot, a photo of a printed sign, a finished ad delivered as JPEG, or a vendor image where the text layer no longer exists. Editing pixels directly is the only option when no source file is on hand.
When you own the Figma, Illustrator, or Photoshop file, editing the live text layer is faster, more accurate, and preserves font integrity. Use the AI image text editor only when opening the source would take longer than the task warrants or when the file is genuinely unavailable.
Prices, phone numbers, URLs, legal disclaimers, and product names need human verification after any AI text replacement. The model matches visible pixels, not a font file, and small rendering drift is easy to miss at thumbnail zoom. Zoom to 100% and read the replacement character by character before download.
Upload the source, quote the exact replacement, name the text region, and protect every element that should stay unchanged.
Edit image text