ChatGPT KI Guide: Turn Kurta Crop Notes Into an Export Decision Sheet

By TryBuy Editorial

Use ChatGPT to organise kurta crop observations into an export decision sheet. Supply the original image’s role, the proposed formats and your own notes about visible garment regions. The model can help distinguish a full-garment view from an editorial thumbnail, but this text workflow does not crop the image or verify pixels automatically.

Prepare the crop observation worksheet

Identify the approved source and the purpose it serves. Name the working crop versions and ratios if known, then record what happens to the neckline, sleeves, hem, border and separate bottom in each. Use complete, partial, absent or not assessed. Keep those observations distinct from a preference for the face position or the amount of negative space.

Add the intended destination requirements only if you have checked them. If they are unknown, ask the output to list them as a production question rather than choose a standard size. A ratio can describe a working layout without proving that the eventual destination will accept a particular export.

Copy the export-decision prompt

Organise my source and crop notes into a visibility matrix and export decision sheet. For each version, return intended role, supplied ratio, visible garment regions, information lost, supported caption and unresolved destination requirement. Do not invent a crop result, extend missing borders or imply that a thumbnail is a complete product view. Keep aesthetic preference separate from communication adequacy. Recommend only a role supported by my observations and draft the next layout question where evidence is missing.

Ask for captions to reflect the image’s actual information. An upper-body crop should not receive wording that implies the reader can inspect the whole kurta or confirm its length.

Filled fictional example

Imagine the square crop shows the collar and upper pattern but removes most of the lower border, while the vertical crop keeps the border and sleeve outline visible. The fictional matrix can assign an upper-body editorial role to the square version and a fuller garment role to the vertical version, subject to your source observations. It should not redraw the border into the square frame to make both roles equivalent.

If a headline is proposed over the lower region, keep that as a separate layout observation. The image may contain the detail while the final design hides it. A useful decision sheet assesses the actual composed use rather than declaring the source sufficient in every placement.

Revise the sheet precisely

• “Remove every visibility conclusion not present in my supplied crop notes.”
• “Rewrite the square caption so it does not imply a full-length garment view.”
• “Show which export decisions remain blocked by unconfirmed destination requirements.”

After a designer changes the layout, provide the new observations and update only the affected version. Do not let the model carry an earlier complete label forward when the crop or overlay has removed essential information.

Review the files outside the text workflow

Inspect the original and crop contact sheet yourself at useful detail and intended viewing sizes. Check that a generated extension remains separately identified and is not treated as recovered product evidence. Verify the actual destination requirements before export. ChatGPT’s organised matrix cannot establish source resolution, correct cropping or complete garment fidelity without appropriate direct review.

Keep the original visibility notes alongside the matrix so a shortened caption cannot hide a disagreement about what the crop contains.

Use the original practical guide for making the practical crop contact sheet and the men’s kurtas collection for product context. Save the decision sheet with the final version IDs and captions. The deliverable is a traceable explanation of what each image can communicate, not a claim that every ratio preserves the same information or that the model has performed the layout work for you.

For general instructions and follow-up techniques, see official OpenKI prompting guidance.