Abstract: In Chinese calligraphy and painting, seals embody profound cultural and historical significance. Scrutinizing seal information allows for an understanding of the historical transmission of calligraphy and painting, while analyzing seal forms can assist experts in identifying their authenticity. To streamline the intricate and complex traditional research process on seals, a Chinese Calligraphy and Painting Seal Analysis System was developed. Firstly, to enhance the accuracy of seal recognition, utilizing open-source data from the Taipei Palace Museum and the Personal Seal Database, this involved employing YOLOX for seal detection, MoCov3 for seal matching, and refining algorithms to address issues specific to calligraphic and pictorial contexts. Consequently, the overall seal matching accuracy improved by 14.87 percentage points compared to the original algorithm. Subsequently, the SwinIR model was introduced to perform super-resolution reconstruction of the seals, enhancing the clarity of the seal images. Finally, a visual analysis system was designed. This system provides an overview of statistical data for calligraphic and painting seals, conducts analyses of seal matching results, supports the morphological analysis of individual seals, and facilitates horizontal comparisons of multiple seals. It enables a gradual exploration from the comprehensive overview to specific details, thus enabling visual analysis of seals in Chinese calligraphy and painting. Additionally, four experts were invited to operate the system and engage in in-depth interviews to evaluate the system’s effectiveness and satisfaction. The results indicated that overall satisfaction surpassed that of traditional analytical methods. Furthermore, through expert case studies, two instances of suspected counterfeit seals were identified, validating the effectiveness and practicality of the system.