Financial document risk intelligence

Every edited document
leaves a trace.
DocPrism finds it.

Mortgage lenders and credit risk teams use DocPrism to detect manipulated bank statements, pay stubs, and tax forms in seconds — before fraudulent applications become approved losses.

Trusted by Mortgage Lenders Credit Risk Teams Servicing Ops Fraud & Compliance
9Forensic layers
100+Fraud signal types
< 30sTime to risk verdict
0External API dependencies
PrivateSelf-hosted deployment
Detection capabilities

The most common fraud vectors — detected automatically.

DocPrism runs nine parallel forensic checks the moment a document is submitted, covering every known manipulation technique used in financial document fraud.

Critical signal

Font injection detection

Identifies characters inserted via PDF editor at the word level — the most precise indicator of post-creation tampering. Pinpoints exact page locations.

Critical signal

Identity fraud detection

Compares the customer name visible on the document against the original PDF data layer. Catches name substitution attacks that bypass visual inspection entirely.

High signal

PDF binary & revision analysis

Detects incremental edits, hidden revision layers, multiple save operations, and tampered cross-reference tables in the underlying PDF structure.

High signal

Transaction math verification

Extracts all transactions, verifies running balances end-to-end, applies Benford's Law analysis, and cross-references duplicate transaction sets across documents.

High signal

Metadata & AI tool intelligence

Identifies AI generators (Canva, Firefly, Midjourney), PDF editors, and suspicious producers in file metadata. Detects stripped or falsified creation dates.

Coverage

Negative database matching

Matches against a configurable library of known fraud tools, fake bank names, sample documents, placeholder content, and known fraud submission signatures.

Workflow

From submission to decision in seconds.

DocPrism slots into your existing review pipeline with no changes to submission channels or analyst tooling.

1

Upload

Analyst submits a bank statement, pay stub, or tax form. PDF or image — multiple files supported in a single batch.

2

Analyze

DocPrism runs 9 forensic layers simultaneously — binary, metadata, font, layout, transaction, identity, image, duplicate, and pattern checks.

3

Review

Risk score 0–100 with per-signal evidence. Critical signals are pinned at the top. Annotated PDF view highlights exact tampered regions.

4

Decide

Approve, request supplementary evidence, or escalate. Every action is timestamped and audit-logged for compliance and regulatory review.

Why DocPrism

Built for real fraud operations, not demo dashboards.

Most document tools give you a pass/fail flag. DocPrism gives reviewers the forensic evidence to justify every decision, sign off every file, and defend every escalation.

🔎

Explainable signals, not black-box scores

Every flag traces to forensic evidence your team can read, understand, and cite in a file note or escalation report.

🔒

Fully private — zero data leaves your environment

Self-hosted Docker deployment. No cloud APIs, no third-party model calls. Applicant data stays within your security boundary.

Configurable to your review policy

Institution lists, pattern thresholds, scoring weights, and review rules are tunable to match your approval standards and regulatory model.

📋

Role-based access & full audit trail

Analyst, Team Lead, Country Manager, and Admin roles. Every review action is timestamped, logged, and exportable for compliance audit.

See DocPrism analyze a real document

Send us a sample workflow. We will map our forensic signals to your review SLAs and show results on your own document types — no commitment required.