LayerGrab

LayerGrab is an AI tool designed to automatically deconstruct flat images into editable layers. Its primary function is to transform static files in PNG, JPG, or WebP formats into a set of up to 16 independent transparent layers, facilitating the manipulation of specific elements without compromising the visual integrity of the overall composition. This solution is particularly useful for graphic designers, marketing professionals, and creators who need to extract components from complex layouts or work with assets when the original source file is unavailable.

The platform’s functionality is powered by advanced segmentation and generative AI models, such as Qwen-Image-Layered, which identify and separate every component of an image—be it products, graphics, or text blocks. In a process lasting between 60 and 100 seconds, the tool not only isolates elements into layers with descriptive names but also applies background inpainting to fill in areas hidden behind the extracted objects. This ensures that when an element is moved or removed, the background appears fully reconstructed without any gaps.

LayerGrab’s capabilities offer extensive functional versatility:

Intelligent Layer Separation: Splits an image into multiple individual elements or allows for the extraction of a specific object using custom prompts.

Multi-format Export: Results can be downloaded as individual PNG images, a comprehensive ZIP file, or a layered PSD document compatible with professional editing software.

Native Integration: Includes plugins for Photoshop, Figma, and Sketch, along with a Chrome extension to capture and process elements directly from a desktop browser.

From a practical perspective, LayerGrab makes it possible to edit AI-generated images, allowing users to move or resize objects without needing to run new generations. It also simplifies updating posters or banners where original text must be replaced; while text is extracted as an image layer rather than an editable font, the reconstructed background allows for a clean overlay of new typography. It is an effective solution for reconstructing flat designs and recovering the hierarchy of elements in files where the original source has been lost.

It is worth noting that the tool does not preserve cast shadows, and very fine text may exhibit slight color variations when redrawn by the model. As an AI-based system, segmentation may vary slightly between runs, though it consistently optimizes the arrangement of elements for immediate use in design tools.