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TinEye is an image search and recognition company. We are experts in computer vision, pattern recognition, neural networks, and machine learning.
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Finds duplicate and modified copies of an image in your image collection. Perfect for identifying duplicate images, image verification, and deploying your own reverse image search solutions. Learn more or Sign up now.
TinEye is a reverse image search engine. Search by image: Give it an image and it will tell you where the image appears on the web.
Our story started in 2008 when we invented reverse image search. Today, we are a boutique software company with expertise in computer vision, pattern recognition, neural networks and machine learning.
Jul 25, 2017 · TinEye is the original reverse image search engine, using image recognition with a growing index of billions of images. You can use TinEye to find out where an image came from, how it is being used, if modified versions of the image exist, or to find a higher resolution version.
TinEye is a reverse image search engine developed and offered by Idée, Inc., a company based in Toronto, Ontario, Canada. It is the first image search engine on the web to use image identification technology rather than keywords, metadata or watermarks. [1]
You can search for an image with TinEye in four ways: by dragging and dropping an image on to the TinEye search page; by copying an image to your computer's clipboard and pasting it on the TinEye search page; by uploading an image from your computer using a file picker; by giving TinEye an image URL (that is, the web address of an image)
Mar 18, 2019 · TinEye is a reverse image search engine. You can submit an image to TinEye to find out where it came from, how it is being used, if modified versions of the image exist or to find higher resolution versions. TinEye uses image recognition technology rather than keywords, metadata or watermarks.
May 26, 2016 · TinEye is the original reverse image search engine, using image recognition with a growing index of billions of images. You can use TinEye to find out where an image came from, how it is being used, if modified versions of the image exist, or to find a higher resolution version.
