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SPEARTRACEMedia Forensics
[ CAPABILITY 04 / 05 · DOCUMENT EVIDENCE ]

DOCUMENTFORENSICS.

Forensics for documents and text. We examine file structure, typography and scan traces for signs of editing, and treat statistical text analysis as supporting evidence, never as proof of who wrote something.

[ 01 / Paradigm shift ]

Target vs Reality

Current

Edited Without a Trace

A changed figure or retyped line looks right to the eye, and the editing history is buried inside the file.

Target

Every Change Surfaced

Structure, typography and scan sensors surface edits by page and region, each with the measurement and its limits.

[ 02 / Method ]

Built for scrutiny

  1. 01Preserve

    The source file and rendered pages are hashed and sealed.

  2. 02Parse

    Internal objects and revisions are read from the file.

  3. 03Compare

    Typography and scan sensors compare regions on each page.

  4. 04Report

    Findings are listed by page and region with their limits.

Document Analysis Chain

Control planeAnalysis plane

  1. 01Structure Parse

    PDF OBJECTS · REVISIONS

    Reads internal structure, revision history and embedded objects of the file.

  2. 02Typography Sensors

    FONTS · GLYPHS · SPACING

    Compares fonts, glyph shapes and spacing across the page for regions that were retyped.

  3. 03Scan & Print Traces

    NOISE · HALFTONE

    For scans, checks noise and halftone patterns for pasted or retouched areas.

  4. 04Text Consistency

    STATISTICAL

    Compares writing patterns across sections as supporting evidence, never as proof of authorship.

  5. 05Findings Report

    PAGES · REGIONS

    Lists each finding by page and region with the measurement and its limits.

  6. Control plane / CUSTODY LOG

    Case Ledger

    Hashes the source file and each extracted page image.

[ 03 / Core systems ]

Core sensors

01 / STRUCTURE01 / 04

FILESTRUCTURE

PDF and office files keep a record of how they were built and edited.

OBJECTS · REVISIONS · EMBEDDED FILES

Read the file, not just the page.

MEASURES
Object tree, incremental updates, producer fields and embedded content.
REPORTS
Evidence that content was added or replaced after the first save.
LIMITS
Flattened or re-exported files lose history, which the report notes.
02 / TYPOGRAPHY02 / 04

TYPOGRAPHYSENSORS

Retyped text rarely matches the original font, weight and spacing exactly.

FONTS · GLYPHS · KERNING

Compare like with like.

MEASURES
Font usage, glyph shapes and character spacing across lines.
REPORTS
Regions whose typography differs from the surrounding text.
LIMITS
Mixed-font templates can look inconsistent legitimately, so each flag is reviewed in context.
03 / SCAN03 / 04

SCAN & PRINTTRACES

Scanned documents keep noise and halftone patterns that pasted areas often lack.

NOISE · HALFTONE · EDGES

The paper remembers.

MEASURES
Noise and halftone behaviour, edge sharpness and compression blocks.
REPORTS
Areas that look pasted, cleaned or retouched.
LIMITS
Low-quality scans reduce sensitivity, and the report states this clearly.
04 / TEXT04 / 04

TEXTCONSISTENCY

Statistical comparison of writing across sections, used as a lead and never as a conclusion.

STYLE · REPETITION · TIMELINE

Supporting evidence only.

MEASURES
Vocabulary, phrasing and structure patterns across sections.
REPORTS
Sections that differ markedly, with the measured differences.
LIMITS
This cannot identify an author, and machine-generated text detection is treated as unreliable on its own.
[ 04 / Reference patterns ]

Where it applies

FINANCIAL

Payslips, statements and IDs

Screening of submitted documents for edits before a lending decision.

INVESTIGATION

Contested contracts and letters

Structure and typography evidence for the examiner's notes.

GOVERNMENT

Certificates and permits

Checks on digital and scanned records against expected structure.

[ 05 / Delivery & deployment ]

From evidence to report

Findings are listed by page and region, and exported with the original hashes. Documents stay inside your environment.

[ 06 / Questions ]

Common questions

What does SpearTrace do for document forensics?

Forensics for documents and text. We examine file structure, typography and scan traces for signs of editing, and treat statistical text analysis as supporting evidence, never as proof of who wrote something.

What changes compared with the current approach?

A changed figure or retyped line looks right to the eye, and the editing history is buried inside the file. Structure, typography and scan sensors surface edits by page and region, each with the measurement and its limits.

Can it run on-premise or air-gapped?

Yes. Analysis runs on your own hardware, and the platform can be installed with no connectivity. Reports are exported as signed PDF and machine-readable JSON.

How do I start?

Request a briefing by form, WhatsApp (+60 17-773 7302) or email (kumar@spearcompute.com). We scope a pilot on samples you provide.

Bring the footage.Let’s verify.

Tell us what media you need to trust and where it has to be analysed. We will scope a briefing or a pilot on your own samples.

Request a briefing