Fake Image Detector 3

Fake Image Detector 3

Genuine Coder – Freeware – Android
out of 368 votes
Latest Version
3
Safe to install

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.

Overview

Fake Image Detector is a Freeware software in the category System Utilities developed by Genuine Coder.

The latest version of Fake Image Detector is 3, released on 06/20/2024. It was initially added to our database on 06/20/2024.

Fake Image Detector runs on the following operating systems: Android.

Users of Fake Image Detector gave it a rating of 2 out of 5 stars.

Pros

  • Uses advanced machine learning algorithms to detect image manipulation and forgery.
  • User-friendly interface makes it accessible for non-technical users.
  • Supports multiple image formats, allowing for versatile use.
  • Offers real-time detection, which is useful for immediate verification needs.
  • Regular updates to enhance algorithms and detection capabilities.

Cons

  • May produce false positives or negatives, especially with subtly manipulated images.
  • Performance can vary depending on image quality and resolution.
  • Requires a stable internet connection for optimal functionality.
  • Limited support for videos and animations; focused primarily on still images.
  • Can be resource-intensive, potentially slowing down older devices.

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