Appearance Extractor BG3

The tool accepts an image and applies BG3-specific appearance analysis to produce repeatable signals about visual identity. It identifies dominant colors, texture cues, brightness levels, and gradient indicators to inform color decisions and asset alignment. Conceptually, the process treats the image as a data source for design tokens, extracting objective measurements rather than subjective judgments. Designers can use the results to seed palettes, texture references, and contrast targets for interfaces and branding materials. By providing both machine-calculated outputs and a structured data bundle, the tool accelerates collaboration between design and development teams and reduces the need for manual sampling across assets. Use cases include background asset audits, theme generation for dark/light modes, and consistent palette enforcement across pages and campaigns. The core values lie in determinism, speed, and an auditable trail of appearance signals that feed into token libraries and style guides. Core features include hex color palettes with confidence, texture classifications (flat, grainy, gradient), brightness and contrast metrics, gradient detection, and a JSON export for downstream tooling. Outputs support design-system workflows by enabling token generation and swatches creation for quick visual validation. This tool is especially beneficial for UI designers, branding teams, and frontend engineers who manage large image collections and require consistent visual language across products.