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SNEWPapers

SNEWPapers

The World's First AI Newspaper Archive

Website snewpapers.com
Overview

What it is

I taught machines to read newspapers, gave them 250 years of data, extracted everything (6 million+ stories so far), separated the ads from the content, and categorized it all. You can search semantically or with you own AI research assistant and get the actual articles with full text extraction, as well as build and share collections. As far as I know, this has never been done before, the data isn't on Google or in any LLM, only on SNEWPAPERS

Intent

I need it when

Conduct academic or genealogical research requiring verified primary sources from American history

SNEWPapers offers direct access to millions of extracted and organized historical newspaper articles with semantic search capabilities, providing researchers with primary-source material not indexed by Google or available in ChatGPT

Research historical events and themes across 250 years of American history using primary sources

SNEWPapers provides AI-powered semantic search across 6M+ stories from 3,000+ newspaper titles (1730s–1960s), allowing users to find articles by meaning and concept rather than exact keywords, enabling comprehensive historical research without manual archive browsing

Get quick answers about what happened on specific historical dates with primary-source citations

The 'Today in History' feature provides daily curated timelines sourced directly from historical newspapers, and the AI-powered Sleuth assistant answers questions with citations, eliminating manual research time

Discover connections and patterns across centuries of American history

Users can build curated collections, explore public collections from other researchers, and use category/sub-category filters (24 categories, 1,000+ sub-categories) to identify thematic connections and historical patterns across the full archive

Drop

Not a fit when

  • User needs access to non-American historical newspapers or international newspaper archives
  • User requires newspapers published after 1960, as SNEWPapers covers only 1730s–1960s
  • User prefers keyword-only search without AI semantic understanding or category filtering
  • User needs real-time current news rather than historical newspaper research
  • User requires integration with academic databases beyond primary newspaper sources
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Pricing

Freemium model with free sign-up available; paid tiers not documented on accessible pages