{
  "@context": "https://schema.org",
  "@type": "article",
  "@id": "https://anchorfact.org/kb/ai-document-digitization",
  "headline": "AI for Document Digitization: Historical Archives, Handwriting Recognition, and Mass Digitization",
  "description": "AI reads what humans cannot -- carbonized scrolls from 79 AD, centuries-old handwritten manuscripts, and billions of historical documents. From the Vesuvius Challenge reading Herculaneum scrolls to Transkribus serving 100,000 users, AI is unlocking humanity's written heritage.",
  "dateCreated": "2026-05-24T02:49:13.491Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
    {
      "@type": "CreativeWork",
      "name": "Deep Learning for Historical Document Analysis: Handwriting Recognition, Layout Analysis, and Text Restoration (2024-2025 Survey)",
      "sameAs": "https://arxiv.org/search/?query=historical+document+handwriting+recognition+deep+learning"
    },
    {
      "@type": "CreativeWork",
      "name": "The Vesuvius Challenge: Reading the Herculaneum Papyri with Computer Vision and Machine Learning",
      "sameAs": "https://arxiv.org/search/?query=Vesuvius+scroll+ink+detection+CT"
    }
  ]
}