Semantic Scholar is built on deep learning models trained on a massive corpus of academic literature to enable semantic (meaning-based) search rather than simple keyword matching. It exposes a fully documented REST API that provides structured access to paper metadata, author records, citation graphs, and AI-generated TLDRs. The platform integrates with tools like Zotero and supports bulk data access via the Semantic Scholar Open Research Corpus (S2ORC), making it suitable for large-scale NLP research and bibliometric analysis.