Makeup Removal Editor

This tool analyzes a portrait to identify makeup regions and reconstructs a makeup-free version of the face with preserved skin texture. It uses color deconvolution and texture-aware correction to separate cosmetics from natural skin tones while maintaining facial features and lighting cues. The workflow is non-destructive, producing a reversible edit stack that can be exported as a new image. Audience includes portrait photographers, fashion editors, beauty brands evaluating natural looks, and social creators who require credible makeup-free references. Distinctive value lies in robust makeup-region detection, fidelity in preserving pores and subtle shading, and the ability to adjust intensity or apply masks for targeted edits.
Key features include automatic makeup detection, skin-tone normalization in perceptual color spaces, and high-fidelity reconstruction that minimizes blur. Optional batch processing supports multiple portraits with consistent results, and reversible edits allow experimentation without permanent changes. Use cases cover product imagery without cosmetics, before/after comparisons in portfolios, and natural-look references for retouching guidance.