Pixelcut AI Photo Editor

The background remover is the reason most people open the app. It handles hair, fur, glass, and the messy edges that break cheaper cutters, and the same model now works on video frames so a clip keeps a steady cutout. Output is a transparent PNG or a new backdrop from the built-in library.

The image upscaler pushes a small file to 16x resolution and lets you pick which model does the work, including Topaz options for photos with fine texture. It's the practical fix for supplier images that arrive at 800px and need to survive a 2x retina hero slot.

Expand extends the canvas past the original edges and generates what should be there. Portrait shots become wide banners, and square product photos fill a 9:16 story without cropping the label. It's Pixelcut's own model, not a rented one, so it runs on every paid plan.

Retouching pairs generative fill with a brush, so you erase a scuff, clone a missing button, or repaint a wrinkled sleeve by describing the change. The shadow tool places a soft contact shadow under the subject, which is the difference between a cutout that looks pasted on and one that looks photographed.

A persona is a saved character that stays the same across shots. You build one, then place your product in their hands, on their table, or in their apartment, and the face, build, and styling carry over from image to image. For AI product photography at catalog scale, that consistency is the hard part.

Batch editing runs one recipe across hundreds of files: same backdrop, same shadow strength, same export size. Folders hold brand assets and finished sets, and teammates can pull from them without asking you for the logo file again. Pro allows 1,000 batch exports a month, Business 2,000.