Fake Image Detector 3

Fake Image Detector is a tool designed to assist users in identifying manipulated images, specifically those that have been altered using popular image editing software such as Adobe Photoshop or Gimp. This software proves beneficial for individuals seeking to verify the authenticity of their photographs, offering the ability to pinpoint any falsified or modified areas within an image.

The Fake Image Detector features two distinctive methods for uncovering the concealed truth within an image:

• Error Level Analysis (ELA): ELA operates on the principle that any alterations or tampering to an image will cause a shift in the compression ratio of the modified section compared to the rest of the image. Through a detailed examination of the ELA image, users can ascertain whether the original image has been tampered with.
• Metadata Analysis: When a photo is captured using a camera, it contains significant embedded information, such as camera details and capture date, known as Metadata - data about data. Metadata undergoes changes when subjected to image editing software manipulation. The Fake Image Detector's metadata analyzer enables users to detect these irregularities.