What colors are in this image? Upload a photo to extract dominant colors with hex codes plus harmony, contrast, and balance scores.
Choose the type of analysis you want to perform on your image.
Select the AI vision model for analysis.
PNG, JPG or GIF files supported. You can upload multiple images.
Color Palette Extractor is an AI tool that analyzes images to extract dominant colors with hex codes, evaluate color harmony, contrast, and balance, and provide color palette suggestions for design applications. The tool helps designers, artists, and creators understand the color composition of images and use those colors effectively in their own work. Color palette extraction requires understanding color theory, how colors work together, and how to create harmonious color combinations. This tool combines knowledge of color science, design principles, and visual aesthetics to provide comprehensive color analysis. It can analyze everything from photographs to artwork, from nature scenes to product photos, helping you identify and extract color palettes that can be used in design projects. The analysis provides specific hex codes for dominant colors, evaluates how colors work together, and suggests applications for using the palette in various design contexts.
Upload an image and the AI examines color aspects including dominant color extraction (identifying the main colors present in the image and providing hex codes), color harmony analysis (evaluating how colors work together - complementary, analogous, triadic, etc.), contrast evaluation (assessing color contrast for readability and visual impact), balance assessment (evaluating how colors are distributed and balanced throughout the image), color effectiveness (scoring how well the color palette serves its purpose), and palette applications (suggesting how the extracted palette could be used in design projects). The analysis provides scores for harmony (0-10), contrast (0-10), balance (0-10), and effectiveness (0-10), along with an overall color palette score (0-100). It lists main colors with hex codes, explains color relationships, and offers suggestions for using the palette in web design, branding, interior design, fashion, and other applications. The tool explains color theory principles in accessible terms, helping both professionals and beginners understand effective color use.
Upload it and you get the dominant colors extracted as hex codes you can copy straight into design software, plus scores for how the palette behaves: harmony between hues, contrast, balance of distribution, and overall effectiveness. It ends with suggested applications, since a palette pulled from a photo usually needs a context to be useful.
This is the direct route: the analysis lists each main color with its hex value, ready for CSS, Figma, or any design tool. Unlike an eyedropper, which samples one pixel at a time, it identifies the colors that actually define the image, weighting by visual importance rather than raw pixel count.
Harmony measures whether the colors relate in a structured way: complementary pairs, analogous neighbors, triadic spreads. Images with harmonious palettes feel intentional; clashing ones feel accidental. The 0-10 score tells you how coherent the extracted palette is, which predicts how well it will transfer into a design without fighting itself.
Accurate to the file you upload, which is the catch: screen captures, compression, and camera white balance all shift colors away from the original subject. A photo of a sunset extracts the photo's oranges, not the sky's. For brand work, extract from exported design files rather than photographs of screens or printed material.
That is the classic workflow: pull the palette from a photo whose mood you want, then assign roles (dominant, accent, background) using the balance and contrast scores as a guide. The suggested-applications section maps colors to use cases. Check text-background pairs for contrast before shipping, since beautiful palettes are not automatically readable ones.
The main colors that define the image, typically around five to eight, rather than an exhaustive census. That number is deliberate: it matches how design palettes actually get used. If you need more granularity from a specific region, crop to that area and run it again for a zoomed-in palette.
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