AI image editing: clean up, re-background and restyle product photography

Five jobs, not infinite prompting

Cleanup removes the clutter around a product shot. Background replacement puts it on a consistent surface so a category grid stops looking like a jumble sale. Lifestyle generates a contextual scene. Enhance improves an image that is simply too soft. Custom takes a prompt when the four presets do not fit.

Presets matter operationally: a merchandiser can run 300 products through "background replacement" and get a consistent result, which is not what happens when 300 people write 300 prompts.

• Consistent output across a category, not one-off art direction
• Higher model tiers available when the hero image justifies the cost
• Credits deducted per generation, so spend is visible

Originals are never overwritten

Generated images are stored as new assets against the product. The original supplier or studio file stays exactly where it was, which is what makes it safe to experiment on a live catalogue.

At catalogue scale

For hundreds or thousands of products, image work runs through the Product Content Lab's bulk pipeline, which is resumable and idempotent, so a run that stops halfway can be continued without re-billing work that already completed.