Example #04 · 2026-04-27 13:43:33

Use Case: Readable Menu Rescue

把 GPT Image 2 用在虚构餐厅菜单重排：从低对比、装饰字体和松散分组的旧菜单，生成可打印的高对比层级、清晰价格、可见过敏原图例和底部 QA 通过条。

Use Case: Readable Menu Rescue. Topics: Accessibility, Allergen Icons, Low Light Readability, Menu Design, Print Proof, Readable Menu Rescue, Typography QA, Use Case.

How to reuse this

Use this as a reference for Accessibility, Allergen Icons, Low Light Readability, Menu Design workflows, prompt structure, visual constraints, and output review.

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Prompt text

Create a single finished GPT Image 2 use-case demo image, portrait A4 ratio, titled in small crisp English text: "Use Case: Readable Menu Rescue". Show a fictional, unbranded neighborhood cafe menu redesign workflow as a print-ready before/after proof sheet, not a product photo and not a grid of prompt tags. Left third: a faded fictional original menu named "Luna Leaf Cafe" with intentionally cluttered but readable placeholder sections, no real logo. Center: a clean transformation lane with short labels: "Hierarchy", "Allergy Icons", "Low-Light Check", "Price Scan", "Edit Notes". Right two-thirds: the final accessible menu layout for the same fictional cafe, with clear large typography, high contrast, grouped sections, simple invented dishes such as "Moon Rice Bowl", "Green Pear Toast", "Quiet Soup", "Citrus Tea", and visible allergy-safe icon legend using abstract symbols only. Add a small QA strip along the bottom with check chips: "Readable", "Grouped", "Prices Clear", "Icons Match", "Print Ready". Style: polished editorial design mockup, realistic flat-lay scanner proof with paper texture but primarily a graphic workflow, sophisticated but not luxury-brand, no real brands, no people, no copyrighted characters, no political content. Make all visible text short and legible; avoid tiny paragraphs.

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