This endeavor aims to create an innovative information extraction algorithm for Pliny’s “Natural History.” We used the state-of-the-art Python NLP library SpaCy and the Latin language models in LatinCy to develop a modern solution. The algorithm accepts a single lemma or a list of lemmas as input, producing a CSV dataset containing citations, context, and lemma variants. This facilitates efficient linguistic analysis of Pliny’s work, initially focusing on Moesia and Thrace. We curated datasets on ethnonyms, places, mountains, and waterways. Using Streamlit and Matplotlib, we improved user interaction and visualization, aiding researchers in exploring ancient Thrace in Pliny’s writings.