The EXO-POPP project [1] aims to establish a comprehensive database comprising 300,000 marriage records from Paris and its suburbs, spanning the years 1880 to 1940. These records are preserved in over 130,000 scans of double pages. Each marriage record may contain up to 118 distinct types of information that require extraction from plain text. This demonstration will present the system developed to extract this information from the full-page images of the handwritten marriage records in a single step. First, we will review the named entity annotation and visualization tool of the PIVAN platform [2], which was used to create a ground truth for named entities in the marriage certificates. Second, we will briefly present DANIEL [3], a fast Document Attention Network for end-to-end Information Extraction and Labelling of handwritten documents that integrates a language model. Finally, we will illustrate the system's functionality through a video demonstrating DANIEL's attention visualization during a prediction. [1]: T. Constum, L. Preel, T. Paquet, P. Tranouez, S. Brée: End-to-end information extraction in handwritten documents: Understanding Paris marriage records from 1880 to 1940, International Conference on Document Analysis and Recognition (ICDAR), Athens, Greece, 2024 [2]: T. Constum, F. Bebin, P. Tranouez, T. Paquet. Pivan: A Web-platform for Document Annotation, Archiving Conference (Vol. 20, pp. 53-56), Society for Imaging Science and Technology, 2023. [3]: T. Constum, T. Paquet, P. Tranouez: DANIEL: A fast Document Attention Network for Information Extraction and Labelling of handwritten documents, preprint, 2024