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FIELD NOTE / PRACTICAL GUIDE

Check AI product images before publishing

A practical review for generated product visuals: identity, shape, labels, material, scale, context and usage.

An attractive image can still be a poor product image. Review the output against the object a customer will receive, then decide whether it is suitable as a factual view or only as a clearly conceptual campaign scene.

Keep a reference beside the output

Use an accurate original photo and a short specification sheet. Compare silhouette, proportions, parts, colour and material. Small changes to a handle, lid or finish can create a different product. If an important detail cannot be kept accurate, use the original photograph for that part of the composition.

Inspect the details people read

Zoom into labels, logos, ingredients, dimensions and packaging text. Generated text may look plausible at first glance while being wrong. Never rely on the visual model to reconstruct required product information. Use approved artwork and check the final export.

Check what the scene implies

The setting can imply size, performance or a real event. A product shown outdoors in the rain may imply weather resistance. A background resembling a client installation may imply delivered work. Confirm that the scene does not make an unsupported claim.

Review the final format

Check the crop on a phone, any caption that identifies the scene and the rights to all source assets. Record which image was approved and where it may be used. Keep the original and the approved export so later edits can be compared.

Keep this checklist

  • Does it remain the same product?
  • Are every label and logo correct?
  • Does the context imply an unsupported claim?
  • Is the final crop and usage appropriate?

This is an original practical guide. Examples are illustrative; tool interfaces and available features may change.

Put it into practice.