Kinetic analysis has received great importance in the fields of sports and biomedicine, as it provides accurate data about the motor performance of athletes and helps in improving performance and preventing injuries, and among the technological tools currently available, artificial intelligence applications such as the (on form) application, which works to analyze performance directly and indirectly and has several advantages where direct analysis of performance is possible and reduce time and costs without referring to the video and analyzing it with analysis programs such as the (kenovea) program, which needs more time and greater experience by the person analyzing it, The research aimed at a comparative study to measure some mechanical variables between the artificial intelligence application (on form) and the kinetic analysis program (kenovea). The researcher used the artificial intelligence application to extract some kinematic variables directly during the performance and compare them with the results of the measurements of these angles when analyzed a second time within the application manually and once by the kinetic analysis program Through this comparison, the researchers concluded that the results of the comparison were identical between the three measurements, which gives the application greater credibility when using it for kinetic analysis with minimal time and costs, and the researchers emphasized the recommendations on the necessity of using the (on form) application in analyzing sports skills and extracting variables