Reverse image search using TinEye

Do you know you can search using Images? By doing that, you can find out which websites are using that image , when is that image taken, what are smilar looking images found on internet and more such details.

TinEye is an image search company.

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…

Reverse image search using TinEye

To search an image using TinEye we need to follow the following steps..

* Open the TinEye Website

Website address :: https://www.tineye.com/

You get the home page of the TinEye webiste for the Reverse image search using TinEye

* Click the the Search box and select the way you want to search the image :

There are two different ways to search by images in TinEye reverse image search

• Paste image URL – You can paste any copied URL (address) for an image online. To get an image’s URL from any website, right-click on the image and select “Copy image address” or “Copy image URL”. Once the URL is copied, click the field in the Search by Image tool and press ^ Ctrl+V (Windows) or⌘ Cmd+V (Mac) to paste the URL.

Reverse image search using TinEye :

• Upload an image –  Click the Choose file button and browse for the image on your computer. Once you select an image, it will be uploaded to TinEye Search, which may take a few moments.

* Browse the results of the image search :

After the image is uploaded the search results will be displayed. TinEye will attempt to determine the original creator of the image based on search results, and will also display images that are visually similar. This can be very useful for finding additional images for a set. Beneath the similar image results, you’ll see a list of pages that have the same image on them…

Reverse image search using TinEye :

This way the image search is done using the TinEye reverse image search..

For more Visit :: reverse image search