This may not seem very useful for the average person upon first blush—after all, you have to already have a copy of the image in order to search for it—but could prove helpful to photographers and those who want to monitor the use of their work across the Internet. Professional photographers and illustrators can find out where and how their creations are being used. Or read on for my explanation.
As of writing this post, TinEye has over million images indexed, which is actually a small number considering the size of the web. By Suresh Chandren, a computer and internet junkie who loves blogging. Hey Pink Insurance , feel like paying for that photo you jacked?
However, there's one photo of mine that I have seen gratuitously ripped off across the web for years now: Then come back and let us know in the comments what you think! He blogs about computers, software and productivity at Digital Quest.
Unfortunately, that photo was not posted anywhere else—the world will never know about my awesome glasses! TinEye claims to do for images what Google does for text, which is to find web pages containing a specific image that you supply.
No other search engines require this, which makes that step particularly obnoxious—but then again, TinEye isn't like other search engines. To search using TinEye, you can either enter a URL to a image on the web or upload an image from your computer. When it comes to matching up images that could be posted on other parts of the web, however, TinEye excels.
I tried uploading the full, uncropped image of myself used in my author profile here on Ars, and it was able to find the correct author page in a fraction of a second. There could be another side to the previous scenario. To search using TinEye, you can either enter a URL to a image on the web or upload an image from your computer. If you have posted an interesting photo captured by you on your blog, it would be great to know where else the photo has been used.
Posted by: Yot | on October 2, 2012
If you do, please put your ideas in the comments. As of writing this post, TinEye has over million images indexed, which is actually a small number considering the size of the web. In order to search, you must either upload an image or point the engine to a URL of one.
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