Knowledge Base
How Veridexa works, integrates, and is operated in production.
Categories
Getting started
First run, accounts, and workspace setup.
Verification flow
Uploading documents, running checks, and reading results.
API & integrations
REST API, webhooks, and SDK usage.
Decisions & reports
How decisions are produced and how to interpret reports.
Security & compliance
Data handling, retention, and compliance posture.
Troubleshooting
Common issues and resolution steps.
Flagship articles
What Is Document Fraud Detection?
Foundations of document fraud detection, common attack categories, and why multi-stage analysis outperforms single-signal checks.
AI Document Fraud Detection: How Modern AI Detects Fake Documents
How modern AI systems combine vision models, forensics, and cross-evidence reasoning to identify manipulated documents at scale.
Passport Fraud Detection: Methods, Indicators and AI Analysis
MRZ validation, image forensics, metadata analysis, and multi-stage checks for passports, including counterfeit and altered documents.
National ID Fraud Detection: Methods, Indicators and AI Analysis
How to detect counterfeit, altered, and digitally manipulated national identity cards using AI and forensic analysis.
Residence Permit Fraud Detection: AI Analysis of Residence Documents
How to verify residence permits and detect counterfeit, altered, and impostor cards using MRZ checks, forensics, and cross-evidence reasoning.
Driving Licence Fraud Detection: Detecting Fake Driver Licences
How to detect counterfeit, altered, and novelty driving licences with barcode parsing, layout analysis, image forensics, and register checks.
Employment Document Fraud Detection: Identifying Fake Employment Records
How to detect fake employment letters, forged payslips, and fabricated experience certificates during hiring and background checks.
Academic Certificate Fraud Detection: Detecting Fake Degrees and Diplomas
Detecting counterfeit diplomas, cloned templates, and altered credential fields across universities and training providers.
Academic Transcript Fraud Detection: AI Methods for Transcript Verification
How AI detects grade tampering, forged transcripts, and inconsistencies across multi-page academic records.
Invoice Fraud Detection: Identifying Manipulated Financial Documents
Methods for detecting invoice manipulation, vendor fraud, duplicate submissions, and altered amounts in accounts payable workflows.
Bank Statement Fraud Detection: Detecting Altered Financial Records
How to identify altered bank statements using arithmetic validation, layout analysis, image forensics, and cross-evidence reasoning.
Financial Document Fraud Detection: AI Methods for Financial Document Analysis
A unified view of AI-powered fraud detection across invoices, bank statements, payslips, tax filings, and audited financial statements.
Document Image Forensics: Detecting Digital Manipulation in Documents
How image forensics reveal splicing, copy-move, resampling, and compression artefacts inside scanned and photographed documents.
Metadata Analysis in Document Fraud Detection: Hidden Evidence Inside Digital Documents
How PDF, image, and office document metadata expose editing history, tool fingerprints, and inconsistencies that indicate fraud.
MRZ Validation Explained: How Machine Readable Zone Verification Works
How the Machine Readable Zone on passports and travel documents is parsed, checksummed, and cross-validated against the visual inspection zone.
OCR in Document Fraud Detection: Strengths, Limitations and Best Practices
What OCR contributes to document fraud detection, where it fails silently, and how to combine it with layout, forensics, and cross-evidence checks.
Security Features in Identity Documents: How Modern Documents Resist Fraud
A survey of substrate, printing, optical, and electronic security features used by modern passports, ID cards, and residence permits.
Digital Signature Verification: Understanding Electronic Document Authenticity
How digital and electronic signatures prove authorship and integrity, what verification actually checks, and how they fit into fraud detection.
Common Document Fraud Techniques: How Documents Are Manipulated
A structured tour of the physical, digital, and hybrid techniques attackers use to manipulate documents, with detection signals for each.
Evidence-Based Fraud Detection: Why Multiple Sources of Evidence Matter
Why single-signal detectors fail on modern document fraud and how multi-source evidence combined with explainable reasoning produces reliable decisions.