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Show My Colors: Color Palettes

Show My Colors: Color Palettes

Peter Kulisek

Lifestyle免费v1.51
App Store
评分

4.8

235 条评分

星级

★★★★★

最近更新

2025年11月5日

发布日期

2021年11月23日

更新内容

v1.51

Updated trend color palettes. Minor bug fixes and improvements. If you have any questions or feedback, feel free to reach out — we’re happy to help!

应用信息

开发者
Peter Kulisek
分类
Lifestyle
价格
免费
版本
1.51
App ID
1593728051

简介

This app helps you discover and choose the perfect color palettes for your wardrobe, outfits, and makeup — based on your natural features like skin tone, hair color, and eye color — while also considering the latest fashion trends. Colors can be warm, neutral, cool, soft, saturated, light, or dark. Every person has unique physical attributes, such as skin tone, eye color, and hair color. That’s why not all colors suit everyone equally well. Some shades may look average on one person but brilliant on another. Complete the Seasonal Color Analysis quiz and explore palettes that are in perfect harmony with your skin, hair, and eyes. It supports all 12 color seasons — from Warm Spring and Cool Summer to Soft Autumn and Deep Winter — helping you find your perfect palette with precision. Also available on Apple Watch — quickly browse your seasonal palettes anytime, anywhere. Key Features: - Over 4,500 outfit and makeup color suggestions - Outfit palettes for each seasonal type: best and trend colors, full color range, combinations, and neutrals - Additional outfit palettes: business wear, special occasion looks, accessories, jewelry, sunglasses color tips, and colors to avoid - Makeup palettes: lipsticks, eyeshadows, eyeliners, blushes, and eyebrow colors - Each color can be viewed on a full-display page - Seasonal Color Analysis quiz - Detailed descriptions of each color type - Custom color cards via the “Favorite Colors” feature If you experience any issues with the app, please don’t hesitate to contact us — we’ll be glad to help.

下载量预测

专业 · 预览

预估总下载量

17K12K34K
保守估计乐观估计

214

低 / 月

316

预估 / 月

610

高 / 月

基于235 条评分
假设评分率1.4%
应用年龄55 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。