Abstract: Most practices of digital humanities were made by a single organization or institution and executed by one project for one topic model. Serious problems occurred, as current applications couldn’t meet the needs of digital transformation of multi-source heterogeneous information in huge volume, resource are being wasted in repeated constructions, and data correlation and sharing can hardly be realized due to the lack of standards. This paper provides a framework of digital humanities artificial intelligence platform, which builds a closed-loop for machine automation in workflow and shares the tools and technologies. It also introduces the details of digital humanities artificial intelligence platform on the infrastructure level, platform level, service level, as well as application level. In addition, it takes the Digital Humanities Artificial Intelligence Platform in East China Normal University (ECNU-DHAI) as an example and introduces its framework, computing resources, OCR function and crowdsourcing model.