Finding the right image is often a time-consuming challenge. Background images are often difficult to describe with keywords. There are many aspects that characterize an image. We have analyzed the most important aspects like image composition, structures, colors, and geometric shapes and created an “intelligent” image search. With the “Similar Images” search it is now possible to get much more precise results based on the analysis of a favorite image. AI-based search option – “similar images” is now available next to each image in our database. You will save time by finding better results in less time.
Check the examples below:
What is Visual Search?
Customers can now use images instead of terms or keywords to search the internet thanks to artificial intelligence technologies and smart image recognition algorithms that can recognize geometry and “mood”. For huge photo databases like MAGROUND, visual search is groundbreaking in providing customers with exact matches for what they’re looking for in split seconds. The visual search method differs significantly from one powered by keywords and text and brings obvious advantages to the table. As one says – one image describes 1000 words, which makes obvious why using keywords to describe an image can be a discouraging task, especially if you try to describe a mood, shape, or certain visual style. Creatives working with moodboards and references benefit enormously from using this method.
What advantages does visual search offer?
Image discovery that works! The consumer may frequently have trouble finding the precise keywords to enter when looking for stock photography, which might lead to disappointing results. A user can find an exact match for what they are looking for considerably faster using this technology by simply uploading his reference image or using the “similar images” function for reference images from MAGROUND and getting suggestions from AI.
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