A few years ago a color survey was run by the online comic xkcd. Volunteers were asked to construct names for randomly displayed images of color. These data provide a unique and fun way to map detailed human descriptions to color space. I use some straightforward transformations between the word corpus of colors and the RGB color space, and leverage libraries such as numpy and scikit-learn to create ranked results for any user search on a collection of images. The technique is applied to the card collection at Paperless Post to demonstrate the technique's accuracy and ability to return images containing very specific color combinations.