Eye Bags Removal

This tool performs eye bags removal on portrait photographs using AI-driven facial landmark detection to identify the under-eye region. It applies localized brightness enhancement, shadow reduction, and subtle texture preservation to minimize puffiness without introducing obvious artifacts. The approach works across skin tones and lighting conditions, aiming for natural, photorealistic results rather than cosmetic extremes.
Conceptually, the pipeline starts with feature localization, followed by region-focused adjustments and adaptive blending. Color balance and exposure are corrected in tandem with retouch operations to avoid color casts. The system includes non-destructive previews, so original data remains intact until export. It can handle JPEG, PNG, TIFF inputs and preserve metadata where supported.
Who benefits: professional headshots, fashion, influencers, social media managers, and anyone seeking faster post-production. Unique differentiators include robust eye-region detection across diverse eye shapes, adjustable strength, and automatic edge-preserving smoothing that maintains pores and fine lines. The tool is especially valuable in high-volume workflows where consistency and speed are essential.
Core features and use cases: auto-detect under-eye areas, strength slider, batch processing, non-destructive export, and formats suitable for print or web. Common scenarios include retouching studio portraits, quick social-media edits, and client-ready proofs. Exclusions: edits beyond eye bags, makeup removal, or non-face retouching are outside scope.