Blurhash and LQIP
Blurhash is a compact representation of a placeholder image that can be used to improve the user experience while they are waiting for the actual image to load on a website. This technique is known as Low-Quality Image Placeholder (LQIP).
Typically, when a user visits a webpage, the browser has to download all the images on the page before it can display them. This can take a while, especially if the images are large or the user has a slow internet connection. During this time, the user is left staring at blank spaces where the images should be, which can be frustrating and make the website seem slow.
Blurhash provides a way to generate a small, blurred thumbnail of the image that can be displayed immediately while the browser downloads the full-sized image in the background. This thumbnail is generated using an algorithm that takes into account the colors and shapes in the original image, creating a unique and recognizable pattern that represents the image.
By using Blurhash, the user is able to see a preview of the image while it loads, which can help to reduce the perceived loading time and improve the overall user experience. Additionally, since the thumbnail is small and compressed, it can be downloaded quickly, even on slow connections.
Overall, implementing Blurhash and LQIP on a website can help to improve the user experience by reducing the waiting time and providing a more polished and professional-looking interface.