Digitalized regional cultural resources are often characterized by diversity and complexity, covering history, folklore, art, architecture and other aspects. These resources are different in form, content and value, and effective classification, screening and integration can ensure that the resources can be shared and exchanged without barriers. To this end, a fuzzy clustering-based integration method for digitized regional cultural resources is proposed. Based on the fuzzy clustering algorithm, the features of digitalized regional cultural resources are extracted by sampling the digitalized regional cultural resources. In the integration of digitalized regional cultural resources, the model of digitalized regional cultural resources integration is constructed, and the types of digitalized regional cultural resources are classified to realize the integration of digitalized regional cultural resources. The experimental results show that the response time of the proposed method for the integration of digitalized regional cultural resources is relatively fast, which indicates that the integration of digitalized regional cultural resources is more efficient, with less error, and the integration process is better handled, which has practical application value.