Color Grading AI Tool

The tool performs a color-grading pipeline that accepts an input image and applies consistent color relationships through presets or AI-driven adjustments. It targets canonical looks such as filmic, neutral, or high-contrast styles and is designed for photographers, retouchers, advertising studios, and production teams seeking reproducible results across a series of images.
Core capabilities include intensity control, target color space selection (sRGB, Rec.709, P3, or external ICC profiles), and LUT export, enabling seamless handoff to editors using external software. Batch processing lets teams queue many files with a common grading profile, while per-image overrides support fine-tuning on individual frames.
Algorithms combine traditional color grading operations—white balance, exposure, shadows, highlights, and tone curves—with AI refinements that adjust color balance, local contrast, and saturation. The system aims to preserve skin tones, maintain natural luminance, and reduce banding, while producing non-destructive previews before final export.
Use cases include catalog photography, fashion lookbooks, social campaigns, and any workflow requiring consistent look across images. The tool differentiates itself through AI-driven look matching, automatic exposure compensation, and straightforward LUT export, aligning with standard color-management practices and providing traceable metadata about applied adjustments.
Operational notes include non-destructive processing, support for common image formats (JPEG, PNG, TIFF), and structured output metadata to support audit trails and reproducibility.