Document fraud is becoming harder to detect with manual review and OCR alone.
Veridexa is an AI-powered document fraud detection platform designed to analyze passports, identity documents, academic certificates, transcripts, bank statements, invoices, employment documents, and other financial records.
What Veridexa analyzes
Veridexa combines multiple layers of analysis, including:
- OCR and document content extraction
- Metadata inspection
- QR code detection
- Digital signature checks
- Security feature analysis
- Image forensics
- Document structure analysis
- Cross-evidence rules
- AI-assisted fraud reasoning
The system combines these signals into one final fraud detection report with:
- Fraud probability
- Authenticity score
- Confidence level
- Risk level
- Findings and recommendations
Why we built it
Traditional document review is often slow, inconsistent, and difficult to scale.
Veridexa helps businesses, universities, financial institutions, insurers, marketplaces, and employment-screening teams review documents more efficiently while keeping human review available for uncertain cases.
Built for practical fraud detection
Veridexa supports common document formats, including PDF, JPG, JPEG, and PNG.
Documents can be submitted through the web platform or integrated through the Veridexa API.
The platform is designed to avoid false certainty. When evidence is incomplete, conflicting, or insufficient, the result can be sent to manual review instead of automatically accepting the document.
Current availability
Veridexa is currently available for document fraud detection at:
Developers can explore the API documentation at:
https://veridexa.io/api-reference
We are continuing to improve the platform, expand testing, and work with organizations interested in early pilots and fraud detection integrations.
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