About DeclassFiles
Making declassified government documents searchable, accessible, and transparent for researchers, journalists, and the public.
flag Our Mission
DeclassFiles is an independent, non-partisan research platform dedicated to government transparency. We believe that declassified documents released by the U.S. government should be truly accessible — not buried in unsearchable PDF archives spanning millions of pages.
Our platform provides free, searchable access to over 29,000 declassified documents across three major investigations: the Jeffrey Epstein case, the JFK assassination, and the September 11 attacks. Every document is processed through our AI pipeline and linked to its original government source for verification.
verified Data Sources & Authenticity
All documents on DeclassFiles are sourced directly from official U.S. government releases. We do not create, modify, or editorialize document content. Our sources include:
U.S. Department of Justice
Epstein Files Transparency Act (EFTA) releases — 3.5 million pages, 2,000+ videos, 180,000 images published January 30, 2026.
National Archives & Records (NARA)
JFK assassination records — 80,000+ pages released March 18, 2025, including CIA cables, FBI reports, and Warren Commission materials.
FBI Vault (FOIA Portal)
Freedom of Information Act releases covering intelligence documents, investigation files, and inter-agency communications.
9/11 Commission
Congressional Joint Inquiry records, CIA Inspector General report, and FBI PENTTBOM investigation documents.
precision_manufacturing AI Processing Pipeline
Raw government PDFs are often scanned images without searchable text. Our automated pipeline transforms these into fully searchable, enriched records:
- 01Download — Original PDFs fetched from official government sources with integrity verification.
- 02OCR Extraction — AI-powered optical character recognition converts scanned pages to machine-readable text, handling degraded, handwritten, and redacted documents.
- 03Document Classification — Each document is categorized by type: court filing, email, memo, deposition, photograph, intelligence report, etc.
- 04Entity Extraction — Named Entity Recognition (NER) identifies persons, organizations, locations, and dates mentioned in each document. Over 14,488 unique persons identified across Epstein files alone.
- 05Full-Text Indexing — All extracted text is indexed for instant full-text search across the entire archive using FTS5 technology.
analytics Archive Statistics
explore Explore the Archive
info Important Disclaimer
DeclassFiles is an independent research tool and is not affiliated with or endorsed by the U.S. Department of Justice, National Archives, FBI, or any government agency. All documents are sourced from publicly available government releases. Inclusion of any person's name in the archive reflects only their mention in official government documents and does not imply wrongdoing. DeclassFiles does not make editorial judgments about document contents.