https://imagelayerseparator.com/
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Detail Information
What
Image Layer Separator is an online AI utility that automatically decomposes flat raster images (JPG, PNG, and WebP) into multiple transparent, editable RGBA layers. It serves graphic designers, motion animators, e-commerce marketers, and digital creators who need to isolate subjects, backgrounds, text, and props without manual cutouts. The tool positions itself as an automated prepress and design handoff bridge, converting flat visuals and AI-generated stills into structured assets for Photoshop, Figma, and animation tools.
Features
- Semantic Layer Decomposition: Automatically separates single flat images into 2 to 8 distinct transparent RGBA layers—isolating subjects, backgrounds, shadows, props, and text for targeted editing.
- Layered PSD Export: Compiles generated transparent layers into a layered PSD file ready for continuing workflows in Adobe Photoshop, Photopea, or Affinity.
- Batch Transparent PNG Export: Packages isolated elements as individual, transparent PNG files within a downloadable ZIP archive for direct placement into Figma, Canva, or web frontends.
- In-Browser Layer Preview: Allows users to inspect individual layer masks, edge cutouts, and transparency levels directly in the browser before exporting files.
Helpful Tips
- Account for Layer Limits: Free and guest usage separates images into up to 4 layers; upgrade to a credit pack or paid tier if your composition requires up to 8 layers for detailed element separation.
- Match Format to End Use: Download PNG ZIP files for rapid layout assembly in vector or web design tools, and use PSD exports when the asset requires local masking, layer effects, or multi-plane parallax animation.
- Prioritize High-Contrast Inputs: Feed the tool source images with well-defined subjects, distinct foregrounds, and readable text to achieve the cleanest edge isolation and transparency boundaries.
OpenClaw Skills
The source documentation does not mention native integrations, APIs, or connections with OpenClaw. As a hypothetical use case, an OpenClaw workflow could bridge generative AI outputs (such as Flux or Midjourney images) with an automated layer separation step, delivering structured asset packs directly to motion design or e-commerce pipelines. This automation could streamline creative production by eliminating the manual masking typically required between initial image generation and multi-layer asset deployment.
Embed Code
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<iframe src="https://aimyflow.com/ai/imagelayerseparator-com/embed" width="100%" height="400" frameborder="0"></iframe>
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