How Paletta analyzes color.
Paletta combines color-analysis theory with photo-based visual evidence. The result is designed to be understandable, practical, and cautious when the photo does not support a confident read.
Trait analysis
Paletta evaluates the visible relationship between skin, hair, eyes, and contrast. It looks for whether warm, cool, neutral, or olive-balanced colors are more harmonious, and whether the person needs lightness, depth, softness, or clarity.
Those traits are then translated into seasonal color language so the user gets a result they can remember and use.
Season selection
The 12-season model helps separate people who would be flattened by a broad label. A Light Summer and a True Summer are both cool, but they need different levels of lightness and softness. A Dark Autumn and a Dark Winter both need depth, but temperature changes the palette.
When the strongest read and alternate read are close, Paletta keeps that context visible so users know where their flexible range may sit.
Limitations
Photo-based color analysis can be affected by lighting, camera processing, makeup, filters, hair dye, and photo angle. Paletta treats photo quality as part of the analysis because bad input can create a bad result.
The report is personal styling guidance. It is not medical, biometric, identity, legal, or financial advice.
Keep exploring your palette.
More Paletta guides for comparing seasons, reading photo signals, and using your colors in real life.
Paletta turns visible color traits into a season, 24-color palette, and style boards.