Product photographers and e-commerce teams face a common frustration with AI-generated scenes – the endless cycle of regeneration when one small element needs adjustment. FinalTouch’s AI Eraser ends this cycle, introducing selective editing to AI-generated product photography.
This new feature stands out in its ability to handle large-scale production needs. E-commerce businesses managing hundreds of products know the pain of regenerating entire scenes when only minor adjustments are needed. Our Eraser addresses this by letting teams edit specific areas while preserving the rest of the scene.
Marketing departments working on seasonal campaigns see immediate benefits. Instead of requesting complete regeneration for small tweaks, teams now make precise adjustments to lighting, shadows, or background elements. A minor shadow adjustment or background modification takes seconds, not minutes or hours.
The impact on production timelines speaks for itself. What once required multiple regeneration cycles now needs a single pass. Teams report 60% faster production times, with the most significant gains seen in high-volume product catalogs. One enterprise client reduced their weekly image production time from 40 hours to 16 hours.
See it in action:
For product photographers handling diverse items, our Eraser brings unprecedented control. Creating consistent product collections becomes straightforward – edit lighting, adjust shadows, and perfect scene elements across multiple images while maintaining brand consistency.
The ROI materializes quickly, especially for businesses managing large product catalogs. Production cycles shrink by 70%, while the ability to create variations from a single scene increases output by 85%. These improvements come without additional training requirements – the intuitive interface makes implementation immediate.
As e-commerce continues growing, the demand for efficient, high-quality product photography rises. The AI Eraser meets this demand head-on, bringing precision editing to AI-generated scenes while maintaining the speed and efficiency needed for scale production.