Shutterstock has released a plug-in that allows you to find similar content in its library based on your image results on Google. Of course, it’s not for free, but it gives you the option to purchase stock photos for cheap in case you can’t use the image you want for copyright reasons.
If you’re in it for the free images, then the plug-in called Shutterstock Reveal isn’t going to be for you. However, if you’re the type of person who uses stock photos a lot for work, then this tool is just what you need. There’s no need to save the picture and upload it to Shutterstock to get similar results. Now all you have to do is click the tiny Shutterstock icon on the upper right corner, and a new page will pop up to show you related photos.
Apart from releasing Reveal, Shutterstock has also rebranded Shutterstock Labs and now calls it Shutterstock Showcase, which boasts several A.I. based search platforms including Refine and Copy Space. So what exactly are these tools? Well, Refine lets you choose several images and use them as the basis to create a new selection of photos. For example, if you search for pictures of streets, and only select the ones with road signs, Refine will create a new set of images of roads with road signs that you can choose from.
Meanwhile, Copy Space is a search tool that allows you to select how much copy space you want to have in your photos. It even lets you choose the orientation of the areas that you’d like to be blank. For instance, if you prefer to use a picture with some space on the upper left-hand corner, the platform will give you results with that specification.
Shutterstock Showcase also features Composition Search. As the name suggests, it allows you to choose specific compositions in photos. If you want objects to be in the center, using this tool will help you find the pictures you want.
A.I. is continuously reshaping various industries, and stock photography is starting to reap some benefits from this technology. Since most of the search is image-based, A.I. indeed offers solutions that would otherwise be impossible using conventional methods. Sooner or later, perhaps meta tags wouldn’t even be necessary, anymore.