If you’re not familiar with “alt text” (alternative text), this has long been a requirement for accessible websites. It’s a HTML-attribute available for any image, where you can add a text-based description for any image, so those who aren’t sighted (or have images turned off) can still understand the intent and meaning of the visual content by reading the image description, or have it read to them by a voice-over tool.
Including “alt-text” with every image is one of the easiest ways to improve a website’s accessibility. There are a few small barriers, however, to its more widespread adoption.
Time and effort
Though adding alt-text might seem simple, it can slow down content updates significantly, especially when dealing with numerous images. For smaller sites, perhaps you are the only editor, and have many more pressing tasks to complete than making up text descriptions for images.
Editors of larger sites may have help, but still have hundreds or even thousands of images to manage. It can also be a barrier when bulk uploading many images at one time, such as when managing a product catalog, image gallery, blog, or news section.
Cognitive load
Another (less considered) barrier is the effort and imagination required to create alt-text. It’s not enough to simply say “this is a photo” or “picture of a woman." That doesn’t properly communicate the image’s intent or full context to every user.
One (somewhat dated) word of advice I’ve long held is to treat alt-text content like a “tweet” – short but descriptive enough to understand. But again, it takes time and mental effort to come up with these more descriptive and rich alt-text phrases.
This is truly where AI can shine. It can quickly and easily analyze the content of each image and offer a much more descriptive summary of the entire image.