Analyzing synthesis procedures from a considerable amount of literature is required to collect structural information of material names and synthesis procedures for designing materials computationally. There are databases comprising structural data of material names and material synthesis procedures. However, the types of material in these databases and the material property values included are limited and insufficient. Moreover, they are primarily described in the literature in the natural language of the researcher who proposed the procedure, and thus they cannot be understood universally. It is, therefore, necessary to create a framework that represents textual synthesis procedures in a flow graph that contains crucial information for material development such as the order of operations and the linkage between operations and conditions. This will facilitate obtaining material insights from the literature. However, there are no large-scale studies on the extraction of synthesis procedures in the form of a graph and analysis thereof. In this study, we propose a pipeline system that extracts synthesis procedures from a text in the form of a graph with a clear order of operations and objects of conditioning from the literature. The system consists of preprocessing, entity extraction, which is based on Mat-ELMo and Bi-LSTM-CRF models, rule-based relation extraction, and selection for paragraph-containing procedures. We applied the system to a large body of literature and extracted various synthesis procedures. We performed basic analyses of the extracted procedures to examine their usability. We experimentally confirmed that some extracted procedures were specific to the target material, and some of the obvious procedures were correctly extracted.