Natural language processing (NLP), a branch of artificial intelligence, has rapidly gained importance in health care for converting unstructured clinical data into structured formats, enhancing decision-making, research, and patient care. Gastroenterology generates vast amounts of clinical data, including clinical notes, pathology reports, and endoscopy findings, much of which remains underutilized due to its unstructured nature. This article explores the key applications of NLP in gastroenterology, such as automating clinical documentation, diagnostic assistance, patient engagement, and research literature analysis. The article also highlights future directions for NLP in gastroenterology, particularly its role in precision medicine and multimodal data integration.