The increasing prevalence of digital image editing and forgery raises the necessity to verify the authenticity of photos quickly and reliably. This can be of essential importance to secure areas sensitive to manipulation such as news reporting, law, art and digital forensics. However, it can be difficult to recognize the subtleties of digital manipulation without extensive technical knowledge or the right tools. Therefore, we are in search of an easy-to-use tool capable of extracting metadata and analyzing photos for features that could indicate edits. In addition, the tool should be able to perform an Error Level Analysis, which reveals even the smallest modifications to the structure of an image, thus helping to confirm the authenticity of a photo.

FotoForensics provides a quick and efficient solution for verifying the authenticity of images. With its advanced algorithm, the tool can analyse photos in detail and detect potential anomalies or changes in their structure. Core features include Error Level Analysis, which identifies even the smallest modifications, thus providing clues to image manipulation. Furthermore, FotoForensics is capable of extracting metadata and providing additional information about the image and the device on which it was created. This enables users without in-depth technical knowledge to confirm the authenticity of a photo. In this way, FotoForensics contributes significantly to the protection of areas sensitive to manipulation such as news reporting, legal matters, art and digital forensics.