The digitization of historical documents has led to a surge in digital and cultural heritage research, highlighting the need for automated tools to process and enrich these collections. Annotating them with rich metadata will improve their accessibility and open new research opportunities. This work details a computer vision-based annotation pipeline, with limited manual annotation to facilitate studies of the Italian economy at the beginning of the last century.