To address the challenges of overlap factor analysis and correction in noncoaxial lidar, we introduce a normalized overlap factor model analysis method. This approach simplifies the traditional five-dimensional geometric area overlap factor model into a four-dimensional structural parameter description. This simplification helps reduce the number of influencing factors and facilitates the identification of key features. The analysis examines the impact of four structural parameters (beam collimation coefficient, transceiver module radius ratio, transceiver module field-of-view ratio, and transceiver module spacing radius ratio) on the overlap factor. Notably, within a specific range of beam collimation coefficient variations, a distinct feature point emerges in the overlap factor curve at a certain detection distance. This feature point serves as a crucial alignment indicator for the biaxial adjustment of the lidar. The validity of our normalized model and its correction method is demonstrated through horizontal experimentation. Experimental results reveal that, compared to traditional methods, the normalized model achieves an average error of 0.016 for the overlap factor within the 0—1 km range. Furthermore, following overlap factor correction, the effective detection distance in the near-field is reduced from 510 m to 107 m. This normalized model offers valuable insights for assessing the parallelism accuracy of noncoaxial lidar adjustments, thereby advancing the practical implementation of automatic lidar product adjustment.