Presentations Powered by Google Reverse Image Search
Last updated on January 4th, 2021
Google introduced an intuitive way for searching for images, Reverse Image Search. Once logged onto Google images, you can upload a picture or photo from your camera, it automatically finds similar images.
There are many ways to search by image in Google. Using Drag & Drop, uploading an image, copying and pasting the image URL source or right clicking an image on the web (when Chrome browser is used).
How to Use Google Reverse Image Search
- Just head over to Google images Homepage and drag a picture file onto the search form.
- You can either click on the little camera icon, on the right side of the search field to trigger a upload file window.
- Now browse to your desired file and click upload. Or you can paste the URL of the file, which is publicly accessible.
- Hit Enter, it brings up all related images, similar to your uploaded image.
- If you wish to search for alternatives of Facebook photos or images, Right click on the image in the frame and click Open in a new tab. Copy the URL of the actual file location and paste it in the URL field of Google Reverse Image Search.
Using Google Reverse Image Search for Presentations
As mentioned in earlier post, Leveraging TinEye for your Presentation, you can find high resolution, detailed image version of your low quality uploaded image.
Imagine, you have recently visited a historical monument or a picturesque scenery, you wish to embed that as a background or an image in your presentation, However, the image was blurred out or you couldn’t catch a proper snap of it. You can input the photo you’ve snapped and hunt for better quality version of it.
You can even detect if the creative work of your graphics designer is plagiarized or unique.
How does Google Reverse Image Search Work
Unlike TinEye which analyzes images pixel to pixel, Google Reverse Image Search is based on keywords (Definition files of Images).
Google Reverse Image Search, is powered by massive library of millions of images floating around the web. So, it can find almost all possible locations and other versions of your uploaded image. It works pretty impressive, and the best of all it’s rivals (TinEye, Gazola Pixolu, e.t.c).