This chapter explores key applications of digital image forgery detection across journalism, law enforcement, social media, and academic research. With the widespread use of manipulated images for misinformation, legal deception, and academic misconduct, forgery detection has become vital. Techniques such as deep learning, noise analysis, and metadata verification are now being integrated into media verification, forensic investigations, content moderation, and research integrity checks. Despite ongoing challenges such as legal gaps and technical limitations; image forgery detection is emerging as a crucial tool to uphold truth, justice, and public trust in the digital age.