Image2Layer

Image2Layer is a web tool that uses AI to split one flat JPG, PNG or WebP into up to 10 editable layers, rebuilds hidden backgrounds, and exports layered PSD, transparent PNGs or ZIP. Credit-based, with 10 free credits on sign-up.

Image2Layer is a web tool that takes a single flat image and breaks it into separate editable layers. Users upload a JPG, PNG or WebP file, and the AI identifies subjects, objects, text-like graphics, shadows and backgrounds, then returns up to 10 layers. The result can be exported as a layered PSD, transparent PNG files, or a ZIP package that opens in Photoshop, Photopea, GIMP, Affinity Photo and Krita. The feature that sets it apart from a plain background remover is background reconstruction. Instead of leaving a hole where a subject used to be, the tool repaints the hidden area behind foreground elements, so an object can be moved or deleted without leaving a gap. The site frames the process as a replacement for manual masking, with a typical run taking roughly one to two minutes from upload to export. In practice, the workflow has two modes: Detailed Layers and Targeted Layer. Users choose a layer count (Auto stays within 10 layers) and can add optional separation notes to guide the split. If a layer still mixes several elements, it can be split again after reviewing the result. Input files can be up to 24 MB and must be at least 512 by 512 pixels. Output layers come at roughly 0.4 megapixels, which suits drafts, mockups and web assets more than large print work. Results stay in the user's workspace for 30 days, and explicit content is blocked automatically. The audience is designers, marketers, motion designers, game artists and e-commerce teams who inherit flattened files: posters, product photos, character art and campaign visuals. Pricing is credit-based, with new accounts receiving 10 free credits and each layer costing 8 credits. Compared with general image editors that offer subject selection or cutouts, Image2Layer returns a full layer stack in one pass. Compared with doing the work by hand, it trades some precision for speed, and the site itself describes the output as a structured starting point to refine. An API is mentioned as a question in the FAQ, but its availability is not stated.