LayerPrep serves as a specialized bridge between the world of AI-generated imagery and the technical requirements of physical print production. Designed primarily for graphic designers and print shop operators who work with assets from platforms like Midjourney or ChatGPT, the tool automates the labor-intensive process of preparing digital files for screen printing or direct-to-garment workflows. Its core functionality revolves around automatic color separation, where the software identifies individual color channels and maps them to specific Pantone codes with high accuracy. Beyond simple color management, the platform handles essential prepress tasks such as validating dots per inch to ensure high-resolution output and checking for proper bleeds. By transforming flat digital files into organized, layered assets, it eliminates much of the manual cleanup typically required when moving from a generative AI prompt to a physical product. The system supports various formats including PNG and SVG, providing users with a comprehensive ZIP file containing separated layers and color specification sheets. This focus on production-ready specifications allows creators to maintain design integrity while significantly reducing technical friction.
Problem: Manually separating a complex, multi-colored AI design into printable layers can take hours of tedious work in design software.
Solution: The AI automatically extracts individual colors and creates separate high-resolution layers ready for screen exposure.
Example: A shop owner uploads a Midjourney illustration and receives 6-8 perfectly separated color layers in 30 seconds.
Problem: Designers struggle to translate digital HEX colors from AI tools into physical ink colors that match customer expectations.
Solution: The platform matches extracted colors to real-world Pantone codes with high accuracy, providing a ready-to-use spec sheet.
Example: An apparel designer gets a ZIP file containing the design and a list of specific Pantone inks to order.
Problem: Low-resolution AI images often result in blurry, pixelated prints if the DPI and bleed aren't checked before production.
Solution: The tool validates DPI and adds necessary bleeds, ensuring the final output meets professional print standards.
Example: A freelancer uses the tool to upscale and verify an image's resolution before sending it to a direct-to-garment printer.
Target audience: Best for: Screen Printers, Apparel Designers, Print Shop Owners
Pricing: Free Trial · Categories: Design, Image editing, Productivity
Tags: design assistant, Design Automation, Generative AI, image editing, POD Efficiency
LayerPrep converts flat digital graphics and AI-generated artwork into print-ready files for screen printing and direct-to-garment production. It automates color separations, maps colors to physical Pantone codes, checks bleed dimensions, and validates file resolution to produce 350 DPI outputs. Users receive their final assets as separated layers and technical specification sheets packaged inside a ZIP file.
LayerPrep is intended for screen printers, apparel designers, graphic artists, and print shop operators. It specifically benefits professionals who receive designs created with generative AI tools like ChatGPT or Midjourney and need to separate colors and prepare high-resolution, production-grade files without extensive manual cleanup.
LayerPrep supports standard graphics formats including PNG and SVG. When processing is complete, the software provides a downloadable ZIP archive containing the individual separated layer files along with detailed Pantone color specification sheets for press setup.
LayerPrep identifies the individual color channels in an uploaded design and maps them directly to corresponding real-world Pantone color codes. It handles complex gradients and outputs a screen print specification sheet that guides operators on the exact ink colors required for the print run.
LayerPrep operates on a free trial pricing model, allowing users to test its automated color separation, resolution validation, and prepress export tools before committing to paid production usage.