AI Document Verification & Fraud Detection | Incode
Document Verification
Prevent fraud, boost conversion and ensure compliance, with AI-driven document verification. Built for global coverage, smart capture, and full configurability.
Industry leaders trust Incode with their AI fraud prevention
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How it works
Smarter fraud defense for every document
Incode uses AI to detect every type of fake, from paper forgeries and screen spoofs to advanced digitally generated IDs
Synthetic ID detection](/content/technology/document-verification#1/index.html)
Tampering detection](/content/technology/document-verification#2/index.html)
Synthetic ID detection
Incode implements sophisticated verification protocols that flag synthetically created documents, whether digitally fabricated from scratch or generated with AI.
Tampering detection
Our advanced AI identifies when genuine documents have been altered, physically or digitally, finding even the most subtle signs of document tampering that the human eye would miss.
Solution benefits
The advantages of Incode’s document verification
Incode’s document verification is intuitive and effortless, so users can trust the process and your business can trust the results.
Smooth capture experience
- Real-time feedback on ID position
- Smart, adaptive ID capture
- Leading Optical Character Recognition (OCR)
- Barcode scanning
- Near Field Communication (NFC)
99.65%
of synthetic ID fraud detected
20%
improved completion rate vs competitors
Post-capture optimization
- Automatic adjustment for incorrect ID types
- Optimal screen selection
- Retries for best results
- Feedback on poor capture
- Analytics on verifications
97.6%
*At medium severity levels
250%
reduced user error with AI optimizations
Deepsight for Documents
AI-generated documents are the next frontier of identity fraud
Generative AI doesn't just create convincing fake faces — it creates convincing synthetic documents. Deepsight for Documents protects the document layer, catching forged IDs, passports, and supporting documents that traditional verification tools miss.
Its AI forgery detection feature identifies documents created or altered by generative AI tools by detecting visual artifacts, font inconsistencies, and layout anomalies invisible to the human eye.
10x
increase in AI generated document fraud over 2 years
8.8×
more fraud caught by Deepsight for Documents than document based check alone.
25%
of all identity fraud attempts are now AI-assisted and is estimated to grow to 50% by end of year
Our features
Multi-layer, ML-powered document verification
Our AI-driven document verification sets the standard for accuracy and reliability, stopping fraud before it reaches your business with 35+ proprietary machine learning (ML) models.
Document analysis
Multiple ML checks simultaneously verify data, detect physical and digital tampering, decode and match barcodes with printed data, and validate microprint and security features.
Liveness detection
Our liveness detection technology ensures people and documents are real, not photos or copies, and detects inconsistencies in reflections, screen artifacts, and micro-textures.
ID-reused check
Incode’s ID-reused check conducts a 1:N search of our proprietary vector database to identify repeat documents and lock out serial fraudsters.
Detect document fraud with precision
See how our ML models fight fraudsters and increase the security of your business.
Customized solutions
Globally compliant, locally adaptable
Incode can verify 4900+ document types from 200+ countries. Our vast template library ensures every ID is verified against its official format, analyzing security features, text patterns, and country-specific details.
Comply with evolving regulations
We continuously update our template library and in-house process for quickly adding new IDs.
Customize settings
Tailor the tech to your specific needs by configuring ID types, upload restrictions, and data extraction options.
Add new ID templates quickly
Incode can learn a new ID template in as little as five days, thanks to our internal labeling team.
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Harness the power of AI
Our AI algorithms instantly classify IDs and cross-reference them against our template library.
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Benefits
Redefining identity verification
Incode sets the standard for speed, accuracy, and security by combining proprietary AI models, deep biometric expertise, and real-world fraud intelligence.
Incode is recognized as a Leading Vendor in Liminal’s Link™ Index for KYC.
Incode is recognized as a Leading Vendor in Liminal’s Link™ Index for KYC.
#1 in facial recognition accuracy among full IDV providers
99.6% accuracy in FRTE 1:N testing
#1 in age estimation and minor detection
1st Company worldwide certified for Passive Liveness technology
Level 2 for preventing spoof attacks in adherence to ISO 30107-3 standard
Frequently Asked Questions
What is document verification?
Document verification is the automated process of confirming that an identity document — such as a passport, driver's license, or national ID — is genuine, unaltered, and belongs to the person presenting it.
How does AI document verification work?
AI document verification uses OCR to extract data fields, machine learning to detect forgery signals (font inconsistencies, metadata mismatches, UV pattern anomalies), and cross-references extracted data against the presenting individual's biometric match.
What types of documents can be verified?
Modern document verification software supports 4900+ document types from 200+ countries — including passports, national IDs, driver's licenses, residence permits, and visas — with AI-powered capture guidance to reduce user errors.
What is the difference between document verification and document fraud detection?
Document verification confirms a document is authentic and belongs to the user. Document fraud detection specifically identifies manipulation — altered text, printed overlays, injected images, or replayed holograms. Advanced platforms do both simultaneously.
How does document verification prevent synthetic identity fraud?
Synthetic identity fraud uses a mix of real and fabricated personal data, often with altered or manufactured documents. AI document verification detects micro-level forgery signals invisible to the human eye, blocking synthetic IDs at the point of onboarding.