2025-02-242025-02-242023-03Martínez Rojas, A., López Carnicer, J.M.,...,Sánchez-Oliva, J.M. (0023). Intelligent Document Processing in End-to-End RPA Contexts: A Systematic Literature Review. En Confluence of Artificial Intelligence and Robotic Process Automation. Volum. 335 (pp. 95-131). Springer Nature.9789811982958https://hdl.handle.net/11441/169257Automating organizational processes typically involves document processing techniques for a large document set. For that purpose, the Intelligent Document Processing (IDP) paradigm has been studied for decades. With the fast emergence of Robotic Process Automation (RPA) in the process automation landscape, the industrial solution of IDP with RPA integration has risen significantly in the last few years. However, there is no up-to-date overview of the available knowledge in this area. Therefore, this chapter studies the current scientific knowledge about IDP and its integration into RPA through a systematic literature review that analyzed 77 primary studies. In addition, an industry review was performed, analyzing and characterizing 37 industrial tools. Although the results confirm the growth in the research interest in IDP in different dimensions, they also identify a lack of proposals that integrate IDP and RPA paradigms in confrontation with the industrial solutions that have increasingly led to its integration.application/pdf37 p.engIntelligent document processing (IDP)Robotic process automation (RPA)Systematic literature reviewIndustrial reviewinfo:eu-repo/semantics/bookPartinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1007/978-981-19-8296-5_5