AI-powered OCR extracts every article, adds historical context, and makes centuries-old newspapers fully searchable — including by meaning, not just keywords.
We're onboarding researchers, archivists, and institutions one at a time. Approval typically takes 1–3 business days.
A short walkthrough of extraction, semantic search, and the research tools.
Three simple steps to transform scanned documents into a searchable, AI-enriched archive.
Drag and drop scanned newspaper images (JPEG, PNG). Upload via the web interface or connect a shared folder for batch processing.
Our multi-stage AI pipeline analyzes layout, transcribes every column and ad, structures content into articles, and verifies accuracy against the original scan.
Browse your digitized library, search by keyword or meaning, ask questions with the AI Librarian, and explore AI-generated historical context for every page.
Everything you need to digitize, search, and analyze historical documents.
Reads 5-7 column layouts, rotated ads, tables, and edge content from historical broadsheets.
Automatically separates and classifies articles, advertisements, legal notices, and mastheads.
Generates historical context and era-relevant annotations for each extracted article.
Search by meaning, not just keywords. Vector-powered search finds relevant articles even without exact word matches.
Ask questions across your entire archive in natural language and get AI-powered answers with source citations.
Connect a shared Google Drive folder for automated batch processing. Drop scans in, results appear in your library.
Searchable PDF, ALTO/XML, JSON, and Markdown exports for integration with library systems and research tools.
Auto-typed content: article, advertisement, legal notice, public announcement, masthead, and more.
Researchers, archivists, and institutions use ArchiveLM to turn historical collections into searchable, analyzable knowledge bases.
Layout-aware OCR that reads historical broadsheets as they were typeset — column by column, ad by ad — and makes every article semantically searchable.
Learn morePurpose-built pipeline for Hansard and legislative records — extracts speaker-attributed debates, committee proceedings, and legislative journals into a fully searchable, citable corpus.
Learn moreOCR and semantic search platform built on Spanish-language Latin American primary sources — colonial-era typography, 19th-century broadsheets, and archaic orthography handled natively.
Learn moreOCR pipeline optimized for the linear, single-column structure of historical books and manuscripts — from 16th-century printed books to 19th-century institutional records — with semantic search over the full text.
Learn moreStructured AI extraction for historical legal records — court proceedings, land grants, edictos judiciales, probate records, and registry documents — searchable by case, party, date, and concept.
Learn morePurpose-built digitization for denominational archives — parish registers, diocesan records, missionary correspondence, and institutional histories — made searchable for researchers, genealogists, and faith communities.
Learn moreA complete digitization and research platform for university special collections — from OCR and semantic search to AI-generated research tools, researcher workspaces, and branded public access portals.
Learn moreTurn decades of morgue files, clipping envelopes, and back-issue archives into a searchable investigative research tool — find historical precedents, track story threads, and surface context that changes today's coverage.
Learn moreCapabilities verified against official competitor documentation (2026).
| Capability | ArchiveLM | Veridian | Generic OCR | Manual |
|---|---|---|---|---|
| AI Enrichments | Yes | No | No | No |
| Semantic Search | Yes | No | No | No |
| RAG Chat | Yes | No | No | No |
| Article Segmentation | AI-powered | Manual + AI | No | Manual |
| Processing Speed | ~3 min | Hours | Seconds (OCR only) | 6-12 min |
| Historical Expertise | Native | Yes | Generic | Depends |
Sources: Veridian (veridiansoftware.com), Google Document AI, Amazon Textract, GMR Transcription.
We're working closely with researchers, archivists, and institutions during this private beta. Tell us about your collection and we'll be in touch within a few business days.
Approved beta accounts get hands-on support during onboarding so you can validate results on your own documents.