GPT Image 2.5 Translate Text in an Image Without Breaking the Design
Blog post from Atlas Cloud
GPT Image 2.5 can translate text embedded in images by generating an edited version of the original, which may be useful for localized infographics, product graphics, posters, and similar flattened designs, but outputs require detailed review for missed text, inaccurate wording, altered layouts, and unintended changes to artwork. The workflow emphasizes starting each language from the same high-quality original, documenting all text regions, specifying locale and protected elements, using explicit prompts, and reviewing language accuracy separately from visual relationships such as arrows, labels, numbers, product details, and typography. Spanish, German, and Simplified Chinese examples illustrate challenges including accents, long compound words, character rendering, terminology consistency, and fitting translated content into fixed areas. Exact font reproduction, pixel-level preservation, frequent updates, regulated claims, dense documents, and real interface screenshots may instead require editable source files, OCR followed by conventional typesetting, or localized application captures. The text recommends recording prompts, settings, costs, retries, reviewer time, and acceptance decisions, treating image-generation estimates separately from the full cost per accepted image, and limiting correction attempts before moving to controlled text-layer editing when precision is essential.
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