After spending 3,000 hours over seven months, a developer has launched SNEWPAPERS, the first AI-powered historical newspaper archive covering 1730s-1960s America. The platform has extracted text from 600,000 pages (approximately 5TB) of scanned newspapers from the Chronicling America collection, addressing a major gap in historical research tools where previous services only offered raw image searches with no context.

The technical challenge involved creating a multi-model pipeline combining layout analysis, OCR technology, and language models to handle diverse newspaper layouts, font sizes, and scan qualities. SNEWPAPERS now offers semantic search capabilities allowing researchers to find articles by meaning rather than just keywords, along with an agentic search tool that helps craft precise queries through its "The Sleuth" AI assistant.

What distinguishes SNEWPAPERS from existing platforms is its comprehensively extracted content—6 million stories spanning 250 years of American history unavailable through Google or ChatGPT. The platform categorizes content into 24 main categories and 1,000+ sub-categories, enabling researchers to build curated collections and explore historical connections across centuries through intuitive search and discovery tools.