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.

Paletta turns visible color traits into a season, 24-color palette, and style boards.

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