GPT Image 2 and Traditional Chinese: posters, menus and social cards checked

But that does not mean Traditional Chinese assets are now safe to hand off with zero proofreading. In the sources available here, there is no public Traditional Chinese-specific accuracy rate, no garbling rate, and no large published test focused on menus, posters or dense information cards.

For this check, the API model name gpt-image-2 and the product name ChatGPT Images 2.0 are treated together: gpt-image-2 appears in OpenAI’s API documentation, OpenAI has an official ChatGPT Images 2.0 page, and ETtoday reported API access through the gpt-image-2 model.

Here, garbled text means more than unreadable symbols. It also includes distorted glyphs, wrong characters, missing or extra characters, mixing Simplified and Traditional forms, punctuation errors, or the model rewriting the copy you supplied.

Verdict: improved, but not proven error-free

The public evidence supports three cautious points.

First, gpt-image-2 is listed in OpenAI’s API documentation, and OpenAI has published an official introduction page for ChatGPT Images 2.0.

Second, the update is being positioned for more practical visual workflows. PetaPixel reported that Images 2.0 is framed as a system for usable outputs across design, education, development and content creation workflows.

Third, multilingual and in-image text are major parts of the upgrade. The Times of India reported that the model can generate text in images in languages including Japanese, Korean, Chinese, Hindi and Bengali with higher accuracy, and mentioned use cases such as posters, explainers, diagrams and comics. ETtoday reported upgrades in detail restoration, layout and multilingual processing, while Yahoo News UK, summarising Engadget, said Images 2.0 is better at understanding and rendering non-Latin text.

The catch is that these claims remain broad. Chinese is not the same as a Traditional Chinese production guarantee, and non-Latin gains do not prove that long Traditional Chinese copy, small type, prices or multi-column layouts will always come out right. The strongest defensible conclusion is not that garbling is gone. It is that GPT Image 2 is worth testing — but final Traditional Chinese text still needs checking.

How risky is it for posters, menus and social cards?

The safer way to think about GPT Image 2 is by text density and the cost of an error.

Why ‘supports Chinese’ is not enough

For real design work, Traditional Chinese does not merely need to look Chinese at a glance. A menu has to keep every item and price correct. A poster has to preserve the date, venue and organiser name. A brand graphic often needs exact punctuation, tone and character forms.

The available sources support improvement in in-image text, multilingual handling, non-Latin rendering and layout structure. They do not prove that Traditional Chinese long copy, small text or multi-column layouts can be delivered without review.

Be especially careful with:

• Lots of text: full menus, timetables, event agendas and product specification sheets.
• Small text: corner notes, dense labels, captions and fine print.
• High-stakes text: prices, phone numbers, addresses, legal wording, names, brand names and uncommon characters.

A safer Traditional Chinese workflow

If you use GPT Image 2 for Traditional Chinese posters, menus or cards, treat it as a visual draft tool rather than an unchecked typesetting tool.

1. Finalize the copy first. Prepare the title, subtitle, menu items, prices, dates and addresses before image generation.
2. Tell the model not to rewrite. Specify that the text must not be translated, paraphrased, added to or shortened.
3. Reduce text density. Start with short lines, large type and generous spacing instead of full menus or dense infographics.
4. Use the model for visual work. Let it help with colour, hierarchy, illustration, background and layout exploration.
5. Proofread character by character. Check prices, dates, phone numbers, names, brand terms, punctuation and letter case.
6. Re-set final text when accuracy matters. For menus, tables, small print and long copy, place the final text in a dedicated design or layout tool.

A practical prompt template:

Create a Traditional Chinese [poster/menu/social card].
All in-image text must use only the exact copy listed below.
Do not translate, rewrite, add, omit or shorten any text.
Use a clear Traditional Chinese type style.
Avoid tiny text and crowded layout.

Copy list:
Main title: ...
Subtitle: ...
Date / venue / price / menu items: ...

Plan the text areas first, then generate the image.
Try to keep every Chinese character identical to the copy list.

This will not guarantee a perfect result, but it gives you a clear checklist for review.

Bottom line

GPT Image 2 / ChatGPT Images 2.0 appears significantly better suited to text-heavy image drafts than earlier generations. Public sources support improvements in in-image text, multilingual handling, non-Latin rendering and practical visual workflows.

But if the question is whether Traditional Chinese posters, menus and social cards are now completely free from garbled text, the answer is still: not proven. Use the model to accelerate ideas and layouts; keep final Traditional Chinese copy, prices and small text under human proofreading and controlled typesetting.