Technical Documentation & Usage Guide
Welcome to onza.palette, an advanced, fully localized computational utility designed for frontend developers, UI/UX designers, and digital artists. This documentation outlines the structural methodology, algorithmic color generation, and privacy-first architecture underlying our minimalist color harmony engine.
Algorithmic Color Generation & Harmony Models
At the core of the onza.palette engine is a deterministic HSL (Hue, Saturation, Lightness) computational algorithm. Unlike standard random color generators, our system utilizes string-based seed hashing. When you input a descriptive "vibe" or select a preset chip, the text is converted into a 32-bit integer hash which is then mapped to a 360-degree color wheel. This ensures that a specific query will consistently yield mathematically balanced chromatic harmonies.
- Analogous Scaling: Shifts the hue by subtle 15-degree increments while maintaining steady lightness stepping, ideal for creating unified UI gradients.
- Monochromatic Depth: Locks the base hue and generates contrast purely through stepped saturation and lightness.
- Triadic/Tetradic Distribution: Distributes hues across 120-degree intervals to ensure high-vibrancy complementaries.
Client-Side Processing & Privacy Architecture
In strict adherence to modern data privacy standards, onza.palette operates entirely within a serverless, client-side architecture. When you upload an image for color extraction, the file is never transmitted to an external server. The extraction tool reads pixel data directly from the local memory buffer using the HTML5 Canvas API.
WCAG 2.1 Contrast & Accessibility Diagnostics
Digital accessibility is a non-negotiable standard. The integrated Contrast Diagnostic tool evaluates your palettes against white backgrounds using the standard relative luminance formula. Furthermore, the Color Blindness Simulator employs precise SVG matrix filters to verify distinct visual hierarchy for users with visual deficiencies.