Height estimation of a person or object from a single 2D image presents significant challenges due to the absence of depth information, perspective distortion, and varying camera angles. Without a known reference scale or controlled environment, traditional measurement methods often yield unreliable results. Factors such as lens distortion, subject posture, and uneven terrain further complicate the process. This study investigates practical techniques using Adobe Photoshop's superimposition and scaling tools to overcome these limitations. By leveraging reference objects, perspective correction, and pixel-based measurements, the research aims to develop a systematic approach for height approximation in forensic analysis, architectural visualization, and digital photography. The goal is to establish a cost-effective, accessible solution that balances accuracy with realworld applicability while acknowledging inherent constraints of single-image photogrammetry.