What are use cases for DatoCMS's automatic image tagging?

How automatic image tagging works

DatoCMS leverages machine learning algorithms to analyze your images and automatically assign relevant tags. These tags describe the content of the image, making it easier to search, filter, and categorize your media library.

Use case 1: streamlining content management

For content creators, image tagging is often a tedious manual task. DatoCMS eliminates this by automatically scanning images using AI and assigning them appropriate smart tags, colors & other metadata. Imagine uploading hundreds of images and instantly having them neatly organized with relevant tags – this is the power of automation.

Use case 2: enhancing SEO and discoverability

Search engines love well-organized content. With automatic image tagging, images are more likely to appear in relevant search results, driving organic traffic to a website. The descriptive tags provide context to search engines, helping them understand the content of images and index them accordingly.

Use case 3: Creating personalized user experiences

Imagine this use case: a user searching through a flooring website for images with the following keywords: "warm" and "rustic". With automatic image tagging, we can easily filter and display relevant results, enhancing the user experience, without any development effort. This feature is particularly valuable for e-commerce websites, where users often scan for specific products visually.

That is exactly what we did for the inspiration boards on Floorify's website, where we used the automatically generated smart tags to create a Pinterest-like inspiration grid from scratch in just days. Check out the result here: https://www.floorify.com/nl-BE/inspirations

Interested in how Wieni can implement DatoCMS image tagging for your project? Get in touch!