Pavement distresses, such as longitudinal and transverse cracks, potholes, patching, and depressions, can significantly impact road safety and serviceability. Accurate and efficient distress measurement is crucial for timely maintenance and repair. The conventional method involves manual measurement using measuring tapes and rulers, which is time-consuming, high cost, and depends on the rater's experience. Image processing techniques are a modern method for measuring pavement distresses using digital images and image processing softwares. This study evaluates the accuracy of ImageJ and Digimizer softwares in measuring various pavement distress types compared to conventional method. High-resolution pavement images are captured and analyzed using both image processing softwares and manual measurements. The results are analyzed to determine the accuracy and reliability of each method. The results of the study showed that the measurements of the length, width, and area of road distresses obtained using the Image J program, and the Digimizer program were similar to those obtained using the conventional method, with high coefficients of determination R² of (0.9999, 0.9999) for length, (0.9257, 0.5397) for width, and (0.9451, 0.9456) for area respectivel