Methodology

Corpus Inventory & Evidence Chain

30 EFTA citations1,715 words2 persons referenced

This is the foundational accounting of every piece of source material underlying this

Corpus Inventory & Evidence Chain

What This Document Is

This is the foundational accounting of every piece of source material underlying this

investigation. Every report in this repository traces back to specific documents within

the corpus described here. If you want to verify a claim, this is where you start.

Bottom line: 1,380,937 PDF documents containing 2,731,785 pages and 3.18 billion

characters of text, plus 3,234 media files, 1,530 audio/video transcripts, 2,587,102

redaction records, and a 1,536-person entity registry. All derived from 194.5 GB of

publicly released U.S. Department of Justice files.

Source Material

All source data was released by the U.S. Department of Justice at

justice.gov/epstein between December 2025 and

February 2026. Bulk downloads were obtained from archive.org

mirrors of the DOJ release. No data was obtained through leaks, hacking, FOIA requests,

or any non-public channel.

DOJ Release Timeline

Dataset

Release Date

Size

Format

---------

-------------

------

--------

DS1-7

December 19, 2025

~3.0 GB

Individual PDFs on justice.gov

DS8

January 17, 2026

~1.8 GB

ZIP archive

DS9

January 30, 2026

~103.6 GB

tar.bz2 archive

DS10

February 3, 2026

~68.3 GB

ZIP archive

DS11

February 6, 2026

~26.8 GB

ZIP archive

DS12

February 10, 2026

~0.1 GB

Individual PDFs

Complete Document Inventory

PDF Documents by Dataset

Documents

Pages

Characters

Size (GB)

EFTA Range

Blank Pages

----

----------:

------:

-----------:

----------:

------------

------------:

3,156

171,072

1.24

EFTA00000001 – EFTA00003158

574

699

46,593

0.62

EFTA00003159 – EFTA00003857

1,847

275,943

0.58

EFTA00003858 – EFTA00005586

152

2,704

3,364,909

0.35

EFTA00005705 – EFTA00008320

120

46,862

0.06

EFTA00008409 – EFTA00008528

487

491,355

0.05

EFTA00008529 – EFTA00008998

660

720,756

0.10

EFTA00009016 – EFTA00009664

10,593

29,343

38,733,380

1.78

EFTA00009676 – EFTA00039023

531,284

1,223,761

1,557,581,456

94.51

EFTA00039025 – EFTA01262781

503,154

950,101

1,060,544,619

68.32

EFTA01262782 – EFTA02212882

331,655

517,382

513,671,715

26.75

EFTA02212883 – EFTA02730262

152

1,525

1,658,327

0.12

EFTA02730265 – EFTA02731783

Total

1,380,937

2,731,785

3,177,306,987

194.5

EFTA00000001 – EFTA02731783

Disk-to-database reconciliation: Every PDF file on disk has a corresponding entry

in the database. Zero discrepancies across 11 of 12 datasets. DS8 has one duplicate

file (EFTA00022173 exists in two subdirectories at identical size — a packaging artifact,

not a data issue).

EFTA Number Gaps

EFTA numbers are not contiguous. The DOJ did not release every number — there are gaps

within each dataset's range. For example, DS9 spans EFTA00039025 to EFTA01262781

(a range of 1,223,757 possible numbers) but contains only 531,284 documents. These gaps

are part of the DOJ's release structure, not missing data on our end. The same pattern

holds across all datasets.

Media Files (Non-PDF)

Type

Count

Primary Location

Description

------

------:

-----------------

-------------

.avi

1,529

DS9

MCC/surveillance video clips (no audio)

.mp4

255

DS8, DS9

Surveillance video, longer-form recordings

.m4a

DS9

Audio recordings (phone calls, interviews)

.vob

DS9

DVD video objects

.m4v

DS9

Video files

.wav

DS9

Audio recordings

.mov

DS9

QuickTime video

.wmv

DS9

Windows Media video

.mp3

DS9

Audio files

.xlsx/.xls

DS8

Spreadsheets (victim pseudonym lists, device inventories)

.csv

DS8

Fully redacted tabular data (every cell blacked out)

Other

~322

DS8, DS10, DS11

Miscellaneous native files

Total

~3,234

Zero-Page Documents (Corrupted/Non-Standard PDFs)

Five documents across the entire corpus returned zero extractable pages from standard

PDF tools. Byte-level forensic analysis revealed these are not simply corrupted — they

are forensic disk image fragments and truncated scans. All five have been recovered.

See CORRUPTED_PDF_FORENSICS for full details.

EFTA

Size

What It Actually Is

Recovered Content

------

--------------------

EFTA00593870

46 KB

Null-padded PDF (64% zeroed)

Page 1 of CVRA motion (Jane Doe #1 & #2 v. US)

EFTA00597207

883 KB

Disk image with Apple Address Book

8 contacts + iPhone 5s photo (Aug 2014, LSJ)

EFTA00645624

35 KB

Truncated Sharp scanner fax

Epstein fee dispute legal memo (Apr 2015)

EFTA01175426

827 KB

Truncated linearized PDF

10-page court trust order (Zaffaroni/Packard)

EFTA01220934

1.1 MB

Raw Windows disk image fragment

Cached web images, application files (not case-relevant)

Derived Databases

All analysis in this repository is built on four databases derived from the source PDFs.

full_text_corpus.db (6.08 GB)

The primary analytical database. Contains the full text of every page of every document.

Table

Records

Description

-------

--------:

-------------

documents 1,380,937 One row per PDF: EFTA number, dataset, file path, page count, file size

pages 2,731,785 One row per page: EFTA number, page number, full text content, character count

pages_fts 2,731,785 FTS5 full-text search index over all page text

How it was built: PyMuPDF (fitz) text extraction on every PDF. For scanned documents,

this captures the invisible OCR text layer (rendering mode Tr=3) that the DOJ's scanning

vendor applied. Documents where PyMuPDF returned zero text were flagged for manual review

(this is how the 5 corrupted PDFs were identified).

redaction_analysis_v2.db (0.95 GB)

Spatial analysis of every redaction rectangle in the corpus, with the text found at

each redaction's coordinates.

Table

Records

Description

-------

--------:

-------------

redactions 2,587,102 Every redaction: position, type, hidden text, confidence

document_summary 638,416 Per-document redaction counts and flags

reconstructed_pages 39,588 Pages rebuilt from spatially-ordered redaction fragments

extracted_entities 107,422 Named entities extracted from reconstructed text

Important caveat: The vast majority of bad_overlay redaction records (~98%) are

OCR noise — the scanner's OCR engine attempted to read black redaction bars and produced

garbage text. Only 12 documents contain genuinely failed redactions (Apple Mail PLIST

metadata exposed behind incompletely flattened overlays). See

DATA_QUALITY_AUDIT and EVIDENCE_RELIABILITY_AUDIT

for the full audit. The redaction database remains useful as a searchable index of text

found near redaction zones, but its hidden_text field should not be interpreted as

"recovered secret content."

transcripts.db (2.5 MB)

GPU-transcribed audio/video content using faster-whisper large-v3 on NVIDIA A100.

Metric

Value

--------

------:

Total entries

1,530

With speech content

375

Total words transcribed

92,153

Silent/surveillance skipped

1,155

Pre-screening classified 2,581 unique media files: 903 were processed, 1,633 were skipped

(silent surveillance footage — 77+ hours of MCC/facility video with no audio stream).

Notable content: BOP Warden OIG interview, 3 MCC prison phone calls, 20+ Grand Jury

testimony recordings, Deepak Chopra voicemails.

persons_registry.json

Unified entity registry merging three sources: our pipeline extraction, la-rana-chicana

community research CSV, and the knowledge_graph.db entity table.

Metric

Value

--------

------:

Total persons

1,536

With aliases

203

With descriptions

237

With 100+ document hits

693

With 10-99 document hits

409

What's NOT in This Corpus

For transparency, here is what we do NOT have access to:

Sealed court filings — Multiple cases have sealed dockets (SDNY, SDFL, USVI).

We only analyze publicly released material.

Grand jury transcripts (full text) — We have audio recordings of some testimony

sessions (transcribed in transcripts.db) but not official transcripts.

Classified intelligence material — References to intelligence connections are

derived from what appears in the public DOJ files, not from classified sources.

Victim statements beyond what DOJ released — The DOJ's release is selective.

Many victim interviews, depositions, and statements referenced in the documents are

not included in the EFTA corpus.

The "missing" EFTA numbers — 692,473 EFTA numbers in DS9's range are not present.

Whether these represent withheld documents, unimaged evidence, or simply unused

numbers in the task force's tracking system is unknown.

Post-February 10, 2026 releases — This inventory reflects data through DS12.

Additional datasets may be released.

Verification

Anyone can independently verify any finding in this repository:

Obtain the source PDFs from justice.gov/epstein

or the archive.org mirrors linked in each report

Check any EFTA citation by constructing the URL:

https://www.justice.gov/epstein/files/DataSet%20{N}/EFTA{########}.pdf

Reproduce the text extraction using PyMuPDF: fitz.open(path)[page].get_text()

Reproduce the redaction analysis using the methodology in

REDACTION_TEXT_LAYER_ANALYSIS

The EFTA-to-dataset mapping table is in the main [README](../README.md#efta-number-to-dataset-mapping).

Processing Pipeline


DOJ PDFs (194.5 GB, 1.38M files)
    │
    ├─→ PyMuPDF text extraction ──→ full_text_corpus.db (6.08 GB)
    │       └─→ FTS5 full-text search index
    │
    ├─→ Redaction rectangle analysis ──→ redaction_analysis_v2.db (0.95 GB)
    │       ├─→ Reconstructed pages (39,588)
    │       └─→ Entity extraction (107,422 entities)
    │
    ├─→ Media file pre-screening + GPU transcription ──→ transcripts.db
    │
    ├─→ Person registry unification ──→ persons_registry.json (1,536 persons)
    │
    └─→ Byte-level forensic recovery of 5 zero-page PDFs
            └─→ recovered_corrupted_pdfs/ (Apple Address Book, LSJ photo, etc.)

All processing was performed locally. No documents were uploaded to cloud services

or third-party APIs for analysis. Text extraction, OCR, transcription, and entity

extraction were all run on local hardware.

View source on GitHub →