An adapted example of a reverse image search based on an image, to the left, of a turquoise-blue lake with a sailboat and a triangular mountain in the background. The mountain is a landmark in the region. To the right, image search results have correctly identified the mountain and lake. The image results match the original image in color, mood, landscape features and location. Reverse image search done on Google Lens, uploaded image by the author.

What is a reverse image search?

7 insights on new AI tools that allow for expanded digital image searches

1. Searching for images based on a source image

A reverse image search sources similar images based on an image uploaded to a search engine. Reverse image searches are also referred to as searching for a similar image.

A visual search engine examines the submitted image for color, shape, texture, or topography, based on algorithms. Reverse image searches can track the location of the source image, track sites where the image is used, and retrieve information about the image.

A reverse image search is not based on entered keywords, such as house, or building. Rather, we submit an image of our liking to the search engine and request to view similar images, without entering prompts or descriptions.

Let’s take a look at Google’s reverse image search engine.

On Google’s image search page, we can access the Search by image feature, by clicking on the camera icon in the search bar.

Access Google’s visual search engine by clicking on the camera icon.