OCR Intelligence
High-accuracy structured extraction of printed fields, MRZ, barcodes, and tabular data across identity and financial documents.
Every fraud detection report is produced by a coordinated set of specialised analytical capabilities working together.
High-accuracy structured extraction of printed fields, MRZ, barcodes, and tabular data across identity and financial documents.
Pixel-level, noise, and error-level analysis to surface splicing, copy-move, resampling, and generative manipulation.
Evaluation of visible security elements expected on genuine identity and government-issued documents.
Layout, typography, spacing, and field-position checks against expected document templates.
Decoding and validation of embedded QR and 2D barcodes, including cross-checks with visible fields.
Verification of embedded electronic and digital signatures on supported PDF documents for authorship and integrity signals.
Advanced biometric analysis algorithms automatically evaluate portrait consistency across supported biometric passports and identity documents, providing an additional layer of technical evidence during fraud detection.
All capabilities are part of the Veridexa Fraud Detection pipeline. Availability of a specific capability depends on the document type and file quality.
One platform for ingestion, extraction, forensic analysis, verification, and operational review โ with the observability enterprises require.
Ensemble forensic models flag manipulated pixels, cloned regions, font substitutions, and generative-AI forgeries efficiently.
Multilingual OCR trained on a broad range of document types. Extracts structured fields with layout-aware reasoning โ not just text.
Cross-check every field against issuing authorities, sanctions lists, and biometric selfies for end-to-end identity trust.
A single REST endpoint. SDKs for TypeScript, Python, Go, Ruby. Ship verification in an afternoon, not a quarter.
Data is encrypted in transit and at rest with regional residency in EU, US, and APAC. Privacy-first, enterprise-ready infrastructure built for scalable AI document verification.
Real-time cohorts of pass rates, fraud typologies, and reviewer performance. Export to Snowflake, BigQuery, or Looker.
Design conditional review queues with a visual builder. Escalate edge cases to humans; auto-approve the obvious.
Global edge inference fleet with a batch mode designed for large-volume processing.
Veridexa automatically evaluates the consistency between multiple portrait images on supported biometric passports and identity documents, adding another layer of technical evidence to the fraud detection report.
Every document flows through the same rigorous pipeline โ deterministic, auditable, and built for regulated workloads.
Documents arrive via API, SDK, secure upload widget, or S3 drop. Any format โ PDF, JPG, HEIC, DOCX.
Layout-aware models classify the doc type and extract structured fields, tables, MRZ, barcodes, and signatures.
Twelve forensic detectors run in parallel โ tampering, splicing, font anomalies, metadata, generative signatures.
Cross-check against issuers, sanctions, and biometrics. Return a decision, risk score, and full audit trail.
{
"verification_id": "vx_9f2c81a4",
"document": { "type": "passport", "country": "DE" },
"decision": "reject",
"risk_score": 0.964,
"signals": [
{ "code": "MRZ_CHECKSUM_FAIL", "severity": "high" },
{ "code": "FONT_SUBSTITUTION", "severity": "high" },
{ "code": "PORTRAIT_TAMPERING", "severity": "medium" }
],
"extracted": { "given_name": "โฆ", "dob": "1988-03-14" },
"latency_ms": 384
}Run Veridexa on your documents for free โ no credit card, no subscription. See document fraud caught in seconds.