![]() ![]() Thus, media is a possible source of additional organic traffic for our business, as well as an additional leverage to outperform competitors, and more generally, media is becoming more and more important with each passing year, playing a crucial role in enhancing the user experience and responding to the user’s search intent. To summarise, hosting unique, contextualised and content-consistent images on site pages – and tagged with the right keywords – can increase the chances of ranking such assets on search engines and, in concrete terms, the chances of users finding these images and landing on our site through a general image search or a reverse image search. It is already clear from what has been written why it can be important for those working in the digital field to learn how to do an effective image search: multimedia content is now a fundamental asset for web pages, to be taken care of as much as text content, and the right SEO optimisation of images must be implemented to fully exploit their value. In this regard, it is worth a quick reminder that most images found online are normally subject to copyright and therefore we cannot simply download or copy them for use on our blog or website, but to our rescue come the various stock photo sites that make available high-definition images, often also free of charge, licensed under Creative Commons. If we are lucky (if we have used the right query and chosen the best search engine) it will only take a few seconds to find the resource and possibly use it on our site, where possible by licence. In all cases, however, we still have to enter a relevant keyword and cross our fingers, hoping that the image we have in mind actually exists on the Internet and the Web. Until not too long ago, the easiest way to perform this task was just to use a normal search engine and type query+image (or query+photo) into the search bar, but thanks to the overall evolution that technology is undergoing, we now have even faster, and above all more effective, ways to search for images – that is, to use image search engines or to take advantage of the reverse search functionality. to use a classic search engine with the express purpose of displaying b photos to be precise.Īccording to some estimates, in fact, almost 20 per cent of all search queries on Google refer to images and people search for millions of images online every day. It has certainly happened to every one of us to do an image search or a search for images, i.e. As we probably experience every day, finding the perfect image to go with a content can often be a challenge, but it is very useful in order to succeed in the goal of winning over the reader: in our support come various image search engines, starting with Google’s service, but also the mechanism of reverse image search, with which we can also deepen the context around the photo. ![]() image search engines), but also and above all for sites that want to appear in positions of visibility and exploit these resources to win new organic visitors. Compare and synchronize photo folders or libraries.We can call it a parallel SEO, which aims at optimising a specific type of content: image search is becoming an interesting challenge not only for those who provide the service (i.e.Search for similar images based on a sample or multiple sample photos.Identify duplicate images regardless of the image format.Key Features for Finding Repeating Photos: That is why a photo duplicate finder is a much more sophisticated and advanced tool. On the contrary a dedicated duplicate image finder tool has to include code for decoding every image format. They do that because it is simpler and does not require additional effort. This is the reason why a standard duplicate file finder can not identify duplicate images even if they are absolutely identical and stored in different file formats - because they compare the file data instead of decoding that data and comparing the actual photo that it represents. That is why the same image stored in different file formats has totally different data representation on the storage. The different file formats have different way of compression and different way of storing those pixels. As the quantity of those pixels is large they are usually compressed when stored in a file and decompressed when they have to be displayed. The count of the horizontal and vertical pixels determines the resolution of the picture. In order to understand how it work you should know how a digital photo is stored.Ī digital photo is represented by dots with different colors named pixels. Photo duplicate cleaner is a dedicated tool for finding duplicate images. ![]()
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