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Not only Google found the similar images but also it identified the building (Chateau Frontenac) appearing in the photograph. To do a test, I dragged a photo in the Google’s image search and asked it to find similar images. Drag an image from your computer onto Google Image Search page. In this analysis, patterns, shapes, color depth, color spectrum, contrast, brightness and a lot of other factors are taken into consideration to understand the image. Once the image is uploaded, Google will analyze the image with its advanced (probably the best in the world!) algorithms to figure out what that image is all about. In addition to the standard browse and select approach, Google also provides the facility of drag and drop for uploading images. In order to search by image, you can upload an image and Google will return the visually similar images in results. Google Image Searchīeyond doubt, Google’s image search is the best among the lot. Let’s see which one of these provide the best reverse image search facility. But there are also a number of other search engines in existence. When we talk about search engines, most of us think of Google! It is not surprising because of the dominant position of Google on Internet. Search Engine Websites for Reverse Image Lookup In the end of the article, I will also describe a few possible uses of reverse image search facility. These tools include search engines, mobile apps and browser extensions -you can use whichever suits you the most. In this article, I will tell you about the best tools for reverse image lookup. For example, if you have a photograph of a monument but you don’t know what it is, you can use reverse image search to find out information about the photo.
Reverse image search app how to#
Long ago, I had written an article on how to identify a location visible in an image. You may also ask about the possible use of reverse image lookup. Most Internet users are, however, still unaware that reverse image lookup facility is available. Advanced pattern matching algorithms are used by search engines like Google to recognize images and identify similar ones. And in simple words, you make search on the basis of an image and the search engine returns images that are exactly same as the given image or similar to that. In geeky language it’s called Content-based image retrieval (CBIR). The search engine returns visually similar images in results. So first thing first, reverse image search is a query technique in which you give an image as input instead of text keywords. Before we begin, it is important to know what is reverse image search because, I am sure, many of you would want to ask this question.