Color Recognition is one of the built-in image processing operations in Uploadcare. This feature analyzes the image, automatically extracts the most prominent colors from it, and returns you an array of 8-bit RGB values specific to those colors. The entire setup takes no longer than a few minutes, saving you a bunch of time.
The feature allows you to specify the number of colors you’d like to extract. If not specified, it will return the four main colors by default.
Sounds nice, but how can it be used in practice? Let’s take a look at the most common use cases.
Color palettes usually are manually made by designers to style color theme and harmonize visuals, but you may skip this step by pick colors from photos you need to use on your website or any other reference
Sometimes people shop without purpose and sometimes they know exactly what they want. In the latter case, a filter by color would save a ton of time for users and noticeably improve the experience on your website. You can use the Color Recognition feature to identify one dominant color in a photo and build your filtering system much faster.
An excellent feature for people who know what they want.
Given that not all websites have such an option, this can become one of your competitive advantages.
Color Recognition can be a great help for image-based platforms where users look for design inspiration or search for images, like Pinterest, Unsplash, Pexels, and so on. This would allow users to find exactly what they need much faster.
What would you choose: a photo stock with color search or without?
If your website features an extensive visual database, adding this filtering option will significantly improve your user experience.
Whether you run an online store, a large online publication, or a corporate website, chances are your CMS stores a large collection of unstructured images. Using Color Recognition, you can automatically build a script to sort those images by color (of course, if that makes sense for you).
Also, you might want to use Object and Face recognition to make your system more intelligent and provide another degree of fine-tuning your filter results.
If the user’s internet connection is slow, it can take a while for images to load. Instead of displaying a large whitespace or loading circle, you can use nice-looking placeholders that are the same dominant color as the images behind them.
Looks better than a blank page, right?
You can use the Color Recognition feature to build a script that would generate such placeholders automatically.
Color recognition is a feature that automatically extracts colors from images. It can be used in various ways — your imagination is the only limit. It can be useful in applications for artists, services for home decoration or event planning, apps for colorblind people, etc.
.png)
.png)
.png)