This study aims to examine the comparative analysis of offline scanned documents and digital images to detect alterations by analyzing their histograms. In the digital age, document manipulation significantly threatens document authenticity. By leveraging histogram analysis, which provides a visual representation of pixel intensity distribution, this study seeks to identify differences between altered scanned documents and original digital images. The primary objective is to develop a reliable method for detecting document alterations by comparing histograms. Alterations made to documents can affect the pixel intensity distribution, leaving detectable traces within the histogram. Through meticulous analysis of these histogram variations, this study aims to establish a dependable baseline for identifying suspicious or fraudulent documents.