ChatGPT Hoodie Alt Text: Draft From an Observation Worksheet

ChatGPT hoodie alt text should begin with an observation worksheet, not a request to make every picture sound persuasive. Tell the model what each image actually shows and what role it has in the gallery. Ask for concise drafts that help distinguish the views, then check those drafts yourself against the files.

The four-image hoodie gallery guide explains the image order. This companion handles a separate writing task: turning the recorded views into alt text and visible-caption suggestions without adding unsupported product information.

Prepare one row per image

If your interface supports image inputs, you can provide authorised files alongside the worksheet. Still identify their roles explicitly. The model may misdescribe an image, so keep the human observation as a review anchor. Avoid uploading unrelated personal photographs when a garment-only reference is sufficient.

Copy the drafting prompt

Draft alt text for this hoodie gallery from the supplied observation rows. Preserve image IDs and distinguish each view's information role. Describe visible content concisely; do not add fabric weight, warmth, measurements or fit conclusions. Consider the nearby text so the draft is not a repeated product paragraph. Keep actual product photographs and AI concepts clearly differentiated in the visible-caption suggestions. Return a table with image ID, alt-text draft, caption suggestion and any question that needs human inspection. Do not invent a missing image.

Supply the surrounding text because repetition depends on context. The same description may be useful in one layout and redundant in another. The task is to prepare a reviewable draft, not to declare that a gallery is accessible in every respect.

A filled fictional example

Imagine image G1 shows a front view of a navy pullover, G2 shows a rear view of the same item and G3 is an unverified close crop. Your worksheet describes the front pocket only in G1. A useful draft keeps that description with G1, describes G2's actual rear view and returns an inspection question for G3.

It should not fill G3 with “soft fleece interior” because the picture looks textured. Nor should it repeat a long composition claim in every image description. This fictional example illustrates source discipline; it is not an accessibility test or a measured model result.

Use focused follow-ups

G3's surface finish is unknown. Remove the inferred finish and ask what the reviewer needs to inspect. Keep G1 and G2 unchanged.

Compare each draft with the supplied nearby caption. Shorten repeated wording without deleting the view information that distinguishes the image.

Check the revisions in the actual reading order. If a linked image's destination becomes unclear, restore a descriptive product reference rather than using “click here.” If a decorative repeat needs different treatment, decide that in the layout context instead of applying one rule to every picture.

Review the final set

Match every draft to its file. Remove invented details, keyword lists and unsupported physical claims. Read the text without pictures and inspect the pictures without the drafts; both passes can reveal a mismatch. Keep genuine product specifications in the appropriate written product information.

Save the reviewed drafts with the gallery order and image IDs. If an editor swaps a picture later, repeat the matching check for that row; the old description belongs to the reviewed file, not to every image placed in the same slot.

Use official OpenAI prompting guidance for general instructions and follow-ups. AI descriptions remain drafts requiring human review, and clear alt text is only one part of a usable gallery.