Search the web by image as opposed to words

Do you want an easy way to find out who’s using your images?

Are you tired of spending hours creating great images for your on and offline marketing materials, only to find somebody else has gone and stolen your hard work for their site?  Then Google reverse image search is the tool for you!

As the name suggests, reverse image search lets you search the internet using images (whether they are from the web or your own) as opposed to words. By sharing a specific image with your search engine, it will then go on to find others like it. It can be used to find content associated with specific images, where certain images are being used and how popular they are. It can also be used to find modified and amended versions of an image.

Now that we know what reverse image search is, I will explain how to use it.


How to use reverse image search

Google reverse image search is available on a number of browsers, including Chrome 5+, Internet Explorer 9+, Safari 5+ and Firefox 4+. For the purpose of this article, I will be using Chrome.

There are four easy ways that you can search by image from your web browser. Before you start, make sure you are on

search by image by clicking the camera icon on

search by image via

  1. Drag and drop – simply drag and drop an image from your computer in to the Google image search box.
  2. Upload your image – click on the camera icon in Google image search, select the “upload an image” tab, and choose the file you want to search.
  3. Search image URL – click on the camera icon in Google image search, select the “paste image URL” tab, and paste the URL of the image you want to search.
  4. Right click an image on the internet – You can right click on any image on the internet and select the “Search Google for this image” option.


Examples of reverse image search in action

Now I have showed you the ways in which this function can be used, lets take a look at some of the results it generates. I will be using the right click technique to carry out my search. The image I have decided to search the internet for is Hallam’s Digital Marketing Map.

I have found the page on the Hallam website featuring the tube map, and the first results pages has provided me with four search options:

Additional sizes: the first option I am presented with is to search for other sizes of the image:

digital marketing map image search - additional data-lazy-sizes

Sites with similar content: the second option shows me websites that contain digital marketing maps. When I click on the Gartner link, it shows me their version of the map, not ours.

websites with digital marketing maps

Visually similar images: the third option on the results page brings up visually similar images to the image that has been searched:

visually similar digital marketing maps

Pages with matching images: finally, the results bring up a list of websites that include matching images to the one that I have searched for:

pages that include matching digital marketing maps

As you can see, it is a very easy tool to use, and it can generate insightful results. But why should you use it?


Why use reverse image search?

As I previously mentioned, Google reverse image search is a useful tool to identify content related to specific images, how popular certain images are, and where they can be found on the web. However, there are other benefits of using reverse image search from a digital marketing perspective:

Identify linking opportunities

As the results page showed, reverse image search provides you with a list of websites that have included your image, whether they have permission to use it or not. This provides you with a great opportunity to build links back to your own website, where the site in question credits you for the image used. Spend a bit of time checking through the results and making sure credit has been given where it’s due. If not, you are well within your rights to ask for the credit in the form of a link.

Protect your intellectual property

This is a useful tool for identifying who has used your images on their website. The results pages identified a range of visually similar images to the Hallam tube map. The results I found showed similar, but fundamentally different images. This problem can arise when someone uses your exact image, but puts their own logo on it in order to pass it off as their own. This is an infringement of your intellectual property.

Stand out from your competitors

There is nothing worse than paying for expensive stock images, only to find a few weeks later that your competitor has the exact same image on their website. Checking sites that already include your chosen image can help you avoid this pitfall.


By checking sites with the same images, you can identify the context in which other companies are using the same image and avoid negative connotations. For example, the model who’s image you are using to promote your vegetarian cafe, may also be used as the poster boy/girl for a burger restaurant.

Find a hi-res version of an image

If you are using images that are not copy protected, reverse image search allows you to find a higher resolution version of the image for your design work.


Additional image searching tools

Google are not the only provider of reverse image searches. There are number of additional reverse image search engines including TinEye, RevIMG, Multi-Service Image Search and Yandex Images.

One response to “Who’s Stealing my Images? How to use Reverse Image Search”

  1. Aiden Clarke says:

    Re: Who’s Stealing my Images? How to use Reverse Image Search

    Hi Rainu,

    That is a very interesting article and one of great interest to pro photographers like myself. There is nothing new about GRIS or Tineye but image theft remains a major problem for photographers.

    Some of the images I create get stolen from time to time. Since I know the location of some of them I thought I would try out GRIS to see if it could find them and it failed every time. Don’t get me wrong, I am not saying that it is useless, just that it is far from perfection its current form.

    I was wondering if you could shed any light how the image search actually works? I suspect that it has nothing to do with feature recognition on the image itself and more to do with file naming etc. Since copyright info can easily be stripped from an image it would appear that photographers like myself have little protection.

    However if you know differently then I am all ears!

    Best wishes,


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