This is the official TinEye Chrome extension. Find out where an image came from, how it's used, or find higher resolution versions.
This is the official TinEye extension for Chrome (***OLD VERSION***).
*** This version of the extension does NOT use the right-click/context menu. For the right-click/context menu version, please go to https://chrome.google.com/extensions/detail/haebnnbpedcbhciplfhjjkbafijpncjl ***
This extension works on Windows, Mac OS and Linux.
TinEye is the first image search engine on the web to use image identification technology rather than keywords, metadata or watermarks. 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 does not typically find similar images; it finds exact matches including those that have been cropped, edited or resized.
TinEye adds tens of millions of new images to its database every week.
Follow our image updates here: https://tineye.com/releases
For the latest updates you can also:
- Read the TinEye blog: http://blog.tineye.com/
- Become a fan on Facebook: https://www.facebook.com/tineye
- Follow us on Twitter: https://twitter.com/tineye
HOW TO INSTALL THIS EXTENSION
Please see our TinEye Extensions page: https://tineye.com/extensions
HOW TO USE THIS EXTENSION
To use the extension, simply click the TinEye 'T' icon in your Google Chrome toolbar. Select the image that you would like to search from the popup window. Results are displayed for you at https://tineye.com/
To set extension preferences go to Tools > Extensions in the Chrome menu bar. Locate 'TinEye Reverse Image search' in the extensions list and click the 'Options' link. From here you can:
* Set sort order preference
* Open searches in background, foreground or current tab
WHY DOES TINEYE NEED TO ACCESS MY BROWSER DATA/HISTORY?
If you are wondering why this extension asks you to confirm access to your browser data and browsing history, please see our blog post: