Forensic analysis for suspicious passports — MRZ, layout, data, and AI-generation signals.
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Estimated savings based on replacing a 10–15 minute manual document review with automated TrueDoc analysis.
Proprietary detection scans template variance, metadata drift, pixel-level retouching, and structural anomalies the human eye misses.
Inspects EXIF, software signatures, edit history, and structural fingerprints.
Originals are processed in encrypted memory and removed after analysis. Reports stay redacted by default.
Passport fraud spans novelty fakes, photo-swap attacks, and increasingly convincing AI-generated passports. Visual review alone misses the strongest signals.
TrueDoc inspects MRZ consistency, data-page layout, font and spacing, image tampering, and metadata to surface evidence-backed verdicts.
AI-generated passport data pages
Photo-swap attacks on real passport scans
MRZ inconsistencies (checksum mismatches, malformed fields)
Layout and visual-structure anomalies
Image-quality and metadata signals (re-encoding, edit traces)
Photo, scan, or PDF of the data page.
MRZ consistency, layout, data consistency, image tampering, and AI-generation signals.
Per-field findings with highlighted regions and confidence.
Accept, request a re-capture, or escalate.
Most "AI detector" tools look at one signal — usually a perplexity score on extracted text. The fake passport checker runs that as one layer of many. It also evaluates metadata lineage (software, edit history, geo), pixel-level forensics (ELA, font kerning, retouching regions), and structural anomalies in the underlying PDF or image container.
The reason: ai-generated passport data pages rarely leaves only one fingerprint. A convincing forgery usually fails on two or three of those layers, even when one of them looks clean.
A high-risk verdict on Passport data pages (photo + machine-readable zone), Photos, scans, and PDFs of passports, Multi-page captures where relevant returns per-field evidence — not just a score. You see the suspicious regions highlighted on the page, the specific metadata fields that triggered the flag (for example, "Photo-swap attacks on real passport scans"), and the layer each finding came from.
That structure is what makes the verdict actionable: kyc and onboarding teams can read why a document was flagged before deciding to reject, request a reupload, or escalate.
Scanned originals, mobile-camera shots, and re-exported PDFs are the three most common sources of benign anomalies. The fake passport checker scores those differently from the patterns associated with deliberate forgery — for example, a recompressed JPEG from a phone is not treated the same as a recompressed JPEG with a font substitution.
When a document is flagged, the report tells you which signal triggered it. If the only signal is a low-confidence compression artifact, the verdict is downgraded rather than counted as fraud.
No credit card. Redacted report in under a minute.