Product photo editing using AI includes removing and replacing backgrounds, unifying the look and lighting across the catalogue, retouching, changing format and dimensions, and preparing variants for different channels. For online stores with hundreds of items, this represents a significant saving, since manual editing takes minutes per photograph. The limit, however, lies in fidelity of representation: the photograph must correspond to the actual product, otherwise the rate of product returns rises and there is a risk of it being assessed as a misleading practice. Generating a product that does not exist, or significantly embellishing colour and material, therefore does not fall among acceptable edits. For images created by artificial intelligence, consider labelling them, and do not forget the image's descriptive alt text. For larger catalogues, it is worth using batch processing, where the tool applies the same rule to hundreds of files at once and saves the output in the dimensions required by the e-commerce platform. The resulting photographs should always be checked manually, because automatic cropping can cut off a product detail that matters to the customer.
See also: Product description, Returns and their cost, Image descriptions for AI.
