AI RECIPE
A recipe is a reusable AI workflow that applies consistent edits to all your images in one go, with no prompts required.

Apparel Product Photography — Square Catalog Crop

Listing-ready square apparel shots on a clean white background — every garment auto-centered with even padding, dimensions consistent across tops, dresses, denim, and outerwear. Try it on your clothing catalog and skip the photoshoot.

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About this recipe

Apparel catalogs live or die on consistency. This recipe auto-centers every garment on a clean white background, applies even padding, and outputs uniform square images across tops, dresses, denim, and outerwear — ready for Shopify, Amazon, ASOS, and any apparel marketplace at full-collection scale.

Use cases

  • Prep wholesale apparel catalogs at scale
  • Build Shopify fashion store grids fast
  • Meet Amazon clothing listing requirements
  • Standardize multi-marketplace fashion uploads
  • Refresh seasonal collections without re-editing

Tips for best result

  • Works on flat lay, ghost mannequin, and on-model
  • Keep input resolution above 1500px for fabric detail
  • Batch your full collection in one upload
  • Consistent lighting yields the cleanest output
  • Pair with AI Upscale to sharpen fabric textures

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Frequently Asked Questions

What about garments with delicate details like lace or sheer fabric?

Edge detection preserves fine fabric details. For best results, use high-resolution originals so lace, sheer panels, and texture come through cleanly.

Does it work on flat lay, ghost mannequin, and on-model shots?

Yes — the recipe handles all three input types and outputs consistent portrait 3:4 imagery on white background, regardless of how the garment was shot.

Does it work for marketplace compliance?

Yes. Output sizes are configurable to meet the requirements of Amazon, Shopify, ASOS, Zalando, and most apparel marketplaces.

Can it batch process my full apparel collection?

Yes. Upload your entire collection and the recipe delivers consistent 3:4 crops for every garment in one pass — no per-item setup required.

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