Confirming the authenticity of images and determining whether they have been manipulated or edited can be a challenging task. This challenge is particularly present in today's digital world, where deepfake technologies, Photoshop and other image editing tools are widely used. There is a risk that manipulated images may be used for deception, disinformation, or fraud. Therefore, it is important to have an efficient and fast tool that can reliably confirm the authenticity of an image and reveal possible anomalies or changes in the structure of images. In addition, this tool should be capable of extracting metadata and providing additional information about the image, its creation, and the device on which it was created.

FotoForensics provides a powerful solution to this challenge by allowing a thorough analysis of images. A specific algorithm evaluates and examines the structure of an image to uncover possible irregularities or modifications that may be a sign of manipulation. By applying Error Level Analysis (ELA), the tool detects changes that may indicate that the image has been edited. In addition, FotoForensics can extract metadata from an image to determine additional information such as the time the image was created or the device it was created on. This provides the tool with a comprehensive overview of the authenticity of an image. This fast and efficient analysis method supports digital investigations and aids in the verification of images by confirming their authenticity and revealing possible forgeries.