The work aims to provide reference for promotion of AM screening technologies on digital proofing based on the true dot proofing that uses FM dot to imitate printing AM dot. BP neural network was used to obtain the nonlinear mapping of digital proofing and CMYK-CMYK dot area coverage outputted by the printing to achieve true dot inkjet proofing. The recognition rate of the true dot inkjet proofing based on BP neural network was stabilized at 95% or so, and the training for about 100 times made it possible for convergence. The true dot deformation was small, the color gamut mapping was correct, the average value of color difference with standard offset printing sheet was 2.24, the standard deviation and the variance of color difference were 1.47 and 2.16 respectively, and the color difference entropy was 3.12. The conversion of the true dot digital proofing based on BP neural network and the dot area coverage of standard offset printing sheet requires no accurate mathematical model and it is characterized by such advantages as simple principle, rapid conversion and strong adaptability. Compared to the traditional digital proofing, the true dot digital inkjet proofing has more advantages whether in dot appearance, color gamut or color difference.