/01
AI-generated forgeries
Generative tools now produce IDs, statements and invoices that look flawless to the human eye.
TRU · Doc Forensics
Check fake docs. Instantly.
Atna AI's TRU. Doc exposes forged, edited, and AI-generated documents with forensic-grade analysis — from PDF metadata tampering to pixel-level font replacements, resolved inside one unified TrustOps Command Center.
TrustOps · Doc #D-902K Scanning
bank_statement_jan.pdf
metadata · fonts · EXIF
88.0
Metadata analysis — PDF created by original bank software
Font forensics — uniform typography across all layers
Pixel integrity — no cloning or localized noise reduction
Digital signature — verified certificate authority
Document AuthenticityAuto-decision
Authentic · Cleared · 0.8s
The Challenge
A forensic intelligence layer for document fraud.
See every document signal in one centralized command center — a holistic verdict on each file, not four disconnected checks that synthetic forgeries slip past.
/02
Manual review can't scale
Reviewers cannot catch pixel-level edits or cloned regions at the volume of modern onboarding.
/03
Multiple vendors
Teams stitch together OCR, fraud and check tools that each see only a fragment of the file.
/04
No forensic trail
Without provenance and metadata context, a flagged document carries no evidence to act on.
Our Approach
Advanced document forensics, orchestrated.
Real-time pixel and metadata forensics remove the blind spots synthetic actors exploit. TRU. Doc automates the path from upload to a definitive authenticity verdict — keeping onboarding seamless.
Pixel-level forensics
Error-level and clone analysis surface edits invisible to the eye.
Provenance & metadata
Origin, software trail and timestamps cross-checked for consistency.
AI-generation detection
Synthetic and deepfaked documents flagged by generative artifacts.
One trusted verdict
Every layer resolved into a single authenticity decision.
Catch tampering and layer edits in seconds
Forensic pixel analysis reads compression, font consistency and clone patterns the instant a document is uploaded — exposing edited fields, pasted text and reprinted regions across thousands of global document types.
- EXIF and XMP metadata extraction
- PDF layer and structural forensics
- Font and layout consistency scoring
Document integrity
Authentic · 96%
Tamper signal
Edit detected
0.0%
No synthetic textureNo diffusion artifactCamera-captured Camera-captured Genuine Genuine
Expose AI-generated and deepfaked documents
Generative models leave statistical fingerprints. TRU. Doc detects synthetic textures, diffusion artifacts and rendered text that betray a document never captured by a real camera or printer.
- Diffusion and GAN artifact detection
- Rendered-vs-captured text analysis
- Adapts as new generators emerge
Verification Flow
Seamless verification in five steps.
A frictionless sequence designed to clear genuine documents fast while exposing the fakes.
01
CaptureUpload document
The user submits an ID, statement or supporting file.
02
ForensicsPixel scan
Error-level and clone analysis inspect every region.
03
ProvenanceMetadata check
Origin, software trail and timestamps are validated.
04
SyntheticDeepfake check
Generative artifacts and AI rendering are detected.
05
VerdictAuthenticity
Authentic, suspicious or forged — with evidence.
Outcomes
Let the signals do the talking.
What teams see when forensic document intelligence replaces manual review and disconnected tools.
<2s
Per-document verdict
99%
Auto-decisioned
3k+
Document types
24/7
Forensic monitoring
Dynamic Engine
Authenticity-based decisioning.
A document is not simply real or fake — it is a spectrum of forensic signals. TRU. Doc modulates verification friction against real-time integrity. Security as an enabler, never a bottleneck.
Authentic · fast track
Clear in seconds
Clean forensic and provenance signals clear the document with no extra steps.
Suspicious · step up
Request a re-upload
Ambiguous signals trigger a proportional re-upload or secondary document, not a full reset.
Forged · review or block
Flag tamper & AI-gen
Tampering, splicing or synthetic generation route to manual review or an instant block.
AuthenticSuspiciousForged
Verdict · AUTHENTIC · auto-clear
Pixel integrity96%
AI-generation score0.4%
Metadata provenanceConsistent
Font & MRZValid
Use Cases
Smarter document checks for trusted onboarding.
Atna unifies document forensics, compliance and AI-driven fraud defense into a single orchestration layer — so enterprises accept genuine files and reject fakes with confidence.
/ 01
Onboarding document checks
Verify IDs and proofs at sign-up, clearing legitimate users instantly and flagging forged submissions.
Learn more/ 02
Claims & invoice fraud
Expose edited receipts, doctored invoices and fabricated supporting documents before payout.
Learn more/ 03
Financial statement verification
Validate bank statements and pay slips for loans — catching altered balances and synthetic PDFs.
Learn more/ 04
Synthetic fraud neutralization
Deploy a regulated defense layer that stops AI-generated and deepfaked documents at scale.
Learn moreIntegrate
Ship it with one API.
Drop TRU. Doc in via Web SDK, Mobile SDK or our REST API — or run flows in the no-code builder and tune authenticity rules on the fly without deploying code.
Web SDKiOSAndroidReactFlutterREST APINo-code builder
verify_doc.ts
// Verify a document with TRU. Doc
const result = await atna.tru.doc.verify({
file: "bank_statement_jan.pdf",
checks: ["tamper", "ai-gen", "provenance"],
policy: "authenticity-spectrum"
});
if (result.verdict === "authentic") {
accept(result.documentId); // 0.8s
}
Why Atna
Choosing your ideal solution.
How a unified forensic command center compares to legacy document checks and standalone OCR tools.
| Capability | Atna · TRU. Doc | Legacy doc checks |
|---|---|---|
| Pixel-level tamper forensics | Forensic-grade | Basic OCR |
| AI-generated / deepfake detection | Native | Not covered |
| Provenance & metadata trail | Included | Manual |
| Authenticity-based decisioning | Dynamic | Pass / fail |
| No-code workflow builder | Yes | Engineering req'd |
| Single source of truth | Sovereign | Third-party handoffs |