Image2Layer

Image2Layer solves a specific and genuinely annoying design problem: you have a finished flat image and you need the pieces back. It uses semantic layer detection to separate subjects, text, shadows and the background, inpaints the areas hidden behind whatever it lifted out so the background is usable rather than a hole, and exports the result as a layered PSD you can open in Photoshop or as transparent PNGs for individual elements. Batch separation of up to ten layers means it can handle busier compositions than a simple background remover, which is what puts it in a different bracket from one-click cutout tools. The realistic caveats are the ones inherent to reconstruction: inpainted background regions are inferred rather than recovered, so tight patterns, faces and fine textures behind a removed subject will need retouching, and semantic detection can group or split elements differently from how a designer would. Text layers come back as rasterised pixels, not editable type. Freemium pricing means you can test on your own worst-case image before committing, which is the right way to judge this kind of tool. For designers inheriting flattened assets, agencies rebuilding client artwork with no source files, and marketers resizing old creative, it turns an hour of manual masking into a first draft you refine.