Google’s reverse image search allows you to search the internet for a specific picture by using your image as a search query. There are a number of different types of visual search that use different techniques to identify and compare the content of images. Visual search is based on the recognition of objects and the comparison of visual information with known image content. Visual search refers to visual data entry and retrieval, including the new reverse image search technology and the traditional keyword-in/image-out model. This means that instead of text, you can use an image as a query. Visual Search, on the other hand, allows you to search with images, not just for them. Google’s image search takes a text-based query and tries to find the best visual match. What is visual search and what is the difference to classical image search?įigure: Visual Search - Author: Seobility - License - CC BY-SA 4.0 Providing this information is an important part of image SEO because it is essential for Google and other search engines to accurately understand what a picture shows. ![]() Instead, the text surrounding it, the content of its alt attribute, the caption, and also the filename provide the key clues Google uses to categorize and sort images. The graphic content of the image itself is not taken into account. This means that Googlebot analyzes the context and environment of a picture to determine its relevance for a particular search query. Since its beginnings, Google’s image search has been a context-based search engine. It is still one of the most popular search queries of all time and was the kickoff for the development of Google's image search. Shortly after this photo was published, Google received millions of search queries for the dress. The development of Google's classic image search was initiated in 2001 by a photograph of Jennifer Lopez in a green chiffon dress at the Grammy Awards. The development of Google’s classic image search
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