Photoshop Compositing
Download all PNG layers, load them into one Photoshop document, keep the same canvas size and order, then edit masks, color and position non-destructively. Transparent pixels remain transparent.
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AI Layer Studio
Peel an image into its layers.
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AI Image Layer Decomposition
Split any image into editable transparent RGBA layers with one click
Powered by advanced AI, decompose photos into multiple layers — separate foreground, background, objects, and text for professional editing and compositing.
Core Capabilities
Discover how AI image layer decomposition transforms your creative workflow
Foreground Extraction
Precisely isolate the main subject from any image with AI-powered edge detection, preserving fine details like hair, fur, and transparent elements.
Background Separation
Automatically separate complex backgrounds into independent layers, enabling seamless background replacement and creative compositing.
Transparent RGBA Layers
Generate fully transparent RGBA layers that work directly in Photoshop, Figma, and other design tools — no manual masking required.
Text & Graphic Separation
Detect and separate text, logos, and graphic elements from images into their own editable layers for easy modification.
Multi-Object Separation
Identify and isolate individual objects within a scene, creating separate layers for each element — perfect for product photography and design.
Batch Processing
Process multiple images at once with consistent layer decomposition, saving hours of manual work for e-commerce and design teams.
See It in Action
Explore how image layer decomposition works across different use cases
E-Commerce Product
Professional product photo of wireless headphones on white background, studio lighting, clean commercial photography style
Portrait Photography
Professional portrait of person in business attire against blurred city lights at night, cinematic color grading, shallow depth of field
Design Elements
Flat-lay of colorful design materials — paper shapes, scissors, pens and color swatches on wooden desk, top-down view, natural lighting
Food Photography
Gourmet plated dish with grilled salmon and vegetables on ceramic plate, professional food photography, dark moody background, soft lighting
Architecture
Modern glass skyscraper against clear blue sky, architectural photography with geometric lines and reflections
Digital Artwork
Vibrant oil painting of sunset landscape with mountains and lake, rich textured brushstrokes in warm colors, displayed on easel in studio
How to Use
Decompose any image into layers in three simple steps
Use Transparent Layers in Photoshop, PSD, Figma and Canva
PixMind exports separate RGBA PNG files rather than a native PSD. Keep the layers aligned and assemble them in the design tool you already use.
Create a Layered PSD
PSD is not a direct PixMind export. Import the transparent PNG files as separate Photoshop layers, rename and group them, then save the assembled document as PSD for handoff or continued editing.
Figma Layout Workflow
Drag the PNG layers into the same frame, align them to the top-left at their original size, then group, reorder or animate individual elements. Preserve the original dimensions to avoid layer drift.
Canva Campaign Variants
Upload each transparent PNG, place the layers on one canvas, and swap backgrounds or reposition products for social and ecommerce sizes. Verify text and fine edges after Canva resizes the design.
Frequently Asked Questions
Everything you need to know about AI image layer decomposition
AI image layer decomposition is a technology that uses artificial intelligence to automatically separate a flat image into multiple transparent layers — such as foreground, background, objects, and text. This allows you to edit each element independently, similar to working with layers in Photoshop.
The Complete Guide to AI Image Layer Decomposition
AI image layer decomposition represents a breakthrough in computer vision and image editing technology. Unlike traditional methods that require manual masking and selection tools, AI-powered decomposition automatically identifies and separates distinct visual elements within a single image.
How AI Layer Decomposition Works
Modern AI models, particularly those based on transformer architectures like Qwen-Image-Layered, analyze images at multiple levels of abstraction. They identify semantic regions — such as people, objects, text, and backgrounds — and generate pixel-perfect masks for each element. The result is a set of transparent RGBA layers that can be independently edited, moved, or replaced.
Benefits for Designers and Developers
For designers, this means no more hours spent on manual clipping paths and background removal. For developers, it provides programmatic access to image decomposition through APIs, enabling automated workflows for e-commerce catalogs, content management systems, and creative applications.
Image Layer Decomposition vs. Background Removal
While background removal tools simply separate foreground from background, image layer decomposition goes further — it can identify multiple distinct elements within a scene and create separate layers for each. This multi-layer approach provides much greater flexibility for compositing, editing, and creative experimentation.