SNEWPapers

SNEWPapers is the world's first AI newspaper archive, offering semantic search across 6 million+ stories from 3,000+ American newspaper titles spanning the 1730s to 1960s. Unlike generic search engines or large language models that paraphrase or fabricate sources, SNEWPapers returns the actual full-text articles with source citations. It is purpose-built for historians, genealogists, educators, journalists, and anyone needing authentic primary sources from a period often missed by digital archives. Key features include AI-powered semantic search that finds articles by meaning, not just keywords; 24 categories and 1,000+ sub-categories for precise filtering; curated public and private collections; The Sleuth AI research assistant that answers questions with citations; and a daily 'Today in History' timeline. The platform also removes ads from articles automatically, presenting clean, readable text. SNEWPapers covers U.S. history exclusively, from colonial times through the mid-20th century. Content is not available on Google or ChatGPT, making it a unique resource for deep historical research. The archive grows daily, adding new digitized newspapers. For serious U.S. historical research, SNEWPapers fills a gap left by general-purpose tools. Its semantic search and curated collections are standout features, though the U.S.-only scope and lack of API limit broader appeal.