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 is the first image search engine on the web to use image identification technology rather than keywords, metadata or watermarks. For some real TinEye search examples, check out our Cool Searches page.
When you submit an image to be searched, TinEye creates a unique and compact digital signature or 'fingerprint' for it, then compares this fingerprint to every other image in our index to retrieve matches. TinEye can even find a partial fingerprint match. Our fingerprinting technologies have been developed by Idee Inc..
TinEye does not typically find similar images (i.e. a different image with the same subject matter); it finds exact matches including those that have been cropped, edited or resized.
There are many uses for TinEye, but here are a few:
Find out where an image came from, or get more information about it
Research or track the appearance of an image online
Find higher resolution versions of an image
Locate web pages that make use of an image you have created
Discover modified or edited versions of an image
TinEye New MulticolorEngine
MulticolorEngine is a color search API for use with your image collection or products. It allows you to find images that best match one or more colors.
MulticolorEngine lets you search your image collection or products using colors. It is automated, accurate, fast and remarkable.
MulticolorEngine:
Eliminates the need for manual tagging of colors in images.
Lets you and your customers find images that best match a single or multiple colors.
Enhances image collection exploration.
Creates addictive experiences.
Is fully hosted and is easily integrated with your website, enterprise solutions or web services.
Supports a full set of metadata search capabilities, allowing you to build interfaces that can, for example, find all products priced less then $50.00, in the 'shoe' category that most closely match a particular shade of yellow.
Allows you to extract the color palette from an image or a set of images. For example, if you were an online shoe store, you could get a palette showing all the colors available for a particular shoe style.
Can also provide a count of the number of products you have that match a particular color, allowing users to easily browse your collection by color.