How to Identify Photoshopped Pictures

Adobe Photoshop is a powerful photo editing programme with an abundance of tools and versatility, allowing users to create unique and spectacular images. Some people, on the other hand, use Photoshop to generate phoney images, fix photos, correct colour, and create artificial effects. And there's more, all of which is difficult to spot with the naked eye. Photoshop pros can make anything convincing with their magical touch, but this non-human -robot- website identification will swiftly tell you if a picture is altered or not.

What is the Process?

The Image Error Level Analysis, which is used to highlight the compressed pixels after extracting a heat map out of a JPEG image since a Photoshopped image is not saved once, is utilised in this web-based software to identify the flaws that can make an image. Still, it recognises the compression that was generated by those files while Photoshopping numerous times over. It produces some extra layers (coloured or black and white) to identify the Photoshop adjustments done to that photo after highlighting those necessary pixels. Finally, it provides you a simple result that tells you whether the image has been photoshopped or not, as well as the effects that have been done to it.

Does it Identify only Images by Photoshop?

No, this web app is designed to identify any sort of modifications that happened to an image from any image editing apps, it surely identifies Gimp images, Pixlr images, Photo Effects pictures, and more...

How to Identify Photoshopped Pictures

1) Go to PSKiller web app

2) You have the option to Choose an Image from a Computer or From URL

3) Hit Submit. Wait few moments for uploading the picture and analysis time.

4) The Analysis result should be shown at the bottom of the picture.

5) It will display the various effects and alterations made to the submitted photo. I changed the brightness, contrast, and colour balance in Mark Zuck's photo and saved it twice, thus the compression result is twice as displayed in the top image. There are several outcomes based on and depending on the image submitted.

Note that it sometimes fails to detect Photoshopped images because it relies on algorithms that aren't particularly smart yet employ complex approaches such as Image Error Level Analysis.