Patent Data | 182M+ Documents Across 170 Authorities, Sourced Direct From Each Office
Overview
Patent Data | 182M+ Documents Across 170 Authorities, Sourced Direct From Each Office is a text dataset. The provider states a volume of 182,000,000 documents. Typical applications include machine translation and document understanding & OCR. Relevant sectors: AI & Machine Learning and Public Sector & Legal. Pricing is not published and is provided on request.
Primary applications
What the listing offers
- Stated volume of 182M documents.
Data as of Q2 2026. The information on this website reflects the latest available data as of June 2026 and may not reflect subsequent changes. 182M+ documents. 170 authorities. One feed. The world's most complete and most global patent collection, sourced directly from each publishing authority and delivered in your format, weekly. Why complete coverage matters A blind spot in patent data is a legal and commercial risk. Prior art your search universe doesn't contain might as well not exist until it surfaces in litigation, an opposition, or a competitor's hands. Coverage limited to the ~50 authorities that patent offices conveniently provide creates a false sense of security: innovation doesn't stop at those borders, and neither do the filings that can invalidate yours. The design goal of this collection is every authority we can reach, as deep into history as the records go, with the full document — not a stub. Coverage and depth - Complete coverage of the IP5 and PCT, plus 160+ further authorities most providers never reach (China 60M+, Japan 28.7M, United States 22.1M, Korea 8.1M, EPO 9.1M, PCT/WO 6.2M). - Full documents, not bibliographic stubs: original PDFs (159M), searchable claims (152M), descriptions (152M), images (130M). English machine translation runs across the collection, with full-text searchable descriptions for 83 authorities and machine translation where automated quality isn't enough. - 11M+ documents DOCDB has never seen. Because we source directly from ea
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- Language
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- Volume
- —
- Domain
- Public Sector & Legal
- Use case
- LLM pre-training
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