Imboden, SilvanoMattei, LucaMarconi, GabrieleAndrucci, FedericoGianelli, AlexCampana, StefanoFerdani, DanieleGraf, HolgerGuidi, GabrieleHegarty, ZackaryPescarin, SofiaRemondino, Fabio2025-09-052025-09-052025978-3-03868-277-6https://doi.org/10.2312/dh.20253275https://diglib.eg.org/handle/10.2312/dh20253275We present an initiative aimed at fine-tuning the LayoutParser framework to develop an AI model capable of understanding and decomposing newspaper pages. If successful, this effort would enable the large-scale processing of entire years of Italian newspaper issues, offering significant benefits to a wide range of researchers across multiple disciplines.Attribution 4.0 International LicenseCCS Concepts: Computing methodologies → Computer vision; Machine learning applications; Information systems → Digital libraries and archives; Applied computing → Document management and text processingComputing methodologies → Computer visionMachine learning applicationsInformation systems → Digital libraries and archivesApplied computing → Document management and text processingFine-Tuning LayoutParser for the Analysis of Historical Italian Newspapers10.2312/dh.202532752 pages