Document Liveness
Document Liveness is Verifik's advanced fraud detection system that ensures the authenticity of identity documents by detecting various types of document manipulation and presentation attacks. It uses cutting-edge AI technology to identify fake, manipulated, or fraudulent documents in real-time, providing comprehensive protection against document fraud.
How Document Liveness Works
Document Liveness analyzes uploaded document images through multiple specialized detection pipelines, each designed to identify specific types of fraud attempts. The system processes documents through AI-powered algorithms that examine various aspects of document authenticity, from screen replay attacks to sophisticated digital manipulations.
What Document Liveness Detects
Document Liveness provides comprehensive fraud detection across four critical areas of document security:
Screen Replay Detection:
Identifies documents displayed on screens or monitors
Detects attempts to present digital copies instead of physical documents
Recognizes screen glare, pixelation, and digital display artifacts
Prevents fraud from photos of documents on devices
Printed Copy Detection:
Identifies photocopied or printed versions of documents
Detects paper texture differences and print quality issues
Recognizes scanning artifacts and reproduction patterns
Prevents fraud from high-quality document reproductions
Portrait Substitution Detection:
Identifies when photos on documents have been replaced
Detects inconsistencies in photo placement and quality
Recognizes tampering around portrait areas
Prevents identity theft through photo replacement
Digital Manipulation Detection:
Identifies digitally altered or edited documents
Detects text modifications, date changes, and information tampering
Recognizes advanced editing techniques and artifacts
Prevents fraud from sophisticated document forgeries
Key Configuration Areas
Validation Selection:
Screen Replay Validation: Enable detection of screen-displayed documents
Printed Copy Validation: Enable detection of photocopied documents
Portrait Substitution Validation: Enable detection of photo replacements
Digital Manipulation Validation: Enable detection of digital alterations
Calibration Settings:
Regular: Standard sensitivity for most use cases
Soft: Lower sensitivity, fewer false positives
Hard: Higher sensitivity, maximum security
Image Management:
Save Image: Option to store processed images for audit trails
Image URL: Secure storage location for saved images
Document Quality: Advanced quality validation controls
Quality Controls:
Ignore Cropped Validation: Skip validation for cropped documents
Ignore Colorless Validation: Skip validation for black and white documents
Image Quality Warnings: Detailed feedback on image quality issues
Detection Results & Scoring
Liveness Scores:
Individual Scores: Separate scores for each validation type (0-1 scale)
Probability Scores: Fraud probability for each detection type
Aggregated Score: Overall document authenticity score
Confidence Levels: Reliability indicators for each detection
Quality Feedback:
Warnings: Image quality issues that may affect accuracy
Errors: Critical issues that prevent proper analysis
Recommendations: Guidance for improving document capture
Detailed Results: Comprehensive analysis breakdown
Getting Started
Select validation types (screen replay, printed copy, portrait substitution, digital manipulation)
Configure calibration settings (regular, soft, or hard sensitivity)
Set image storage preferences (save images for audit trails)
Upload document image (base64 encoded image data)
Review detection results and fraud probability scores
What Happens When You Process a Document
Image Upload: Document image is securely received and validated
Pipeline Selection: Chosen validation types are activated
AI Analysis: Each pipeline analyzes the document for specific fraud types
Score Calculation: Individual and aggregated fraud probability scores are generated
Results Storage: Detection results and metadata are saved
Response Delivery: Comprehensive fraud analysis is returned
Monitoring and Management
Detection History: Track all processed documents and their results
Fraud Analytics: Monitor fraud attempt patterns and trends
Quality Metrics: Analyze image quality and processing success rates
Audit Trails: Maintain records for compliance and investigation
Pricing & Usage
Per-Pipeline Pricing:
Base Cost: $0.24 USD per pipeline processed
Multiple Pipelines: Each validation type counts as one pipeline
Flexible Selection: Pay only for the validations you need
Volume Discounts: Available for high-volume usage
Example Pricing:
Screen Replay only: $0.24 per document
Screen Replay + Printed Copy: $0.48 per document
All four validations: $0.96 per document
Custom combinations: Priced per selected pipeline
Advanced Features
Calibration Control:
Regular: Balanced detection for general use cases
Soft: Reduced false positives for challenging environments
Hard: Maximum security for high-risk applications
Quality Management:
Image Quality Validation: Automatic assessment of document image quality
Cropping Tolerance: Flexible handling of partially cropped documents
Color Processing: Support for both color and grayscale documents
Integration Options:
REST API: Simple HTTP-based integration
Real-time Processing: Immediate fraud detection results
Batch Processing: Support for multiple document analysis
Webhook Support: Automated result delivery
Document Liveness provides enterprise-grade document fraud detection, ensuring that only authentic, unmanipulated documents pass through your verification process. With its advanced AI technology and flexible configuration options, it adapts to your specific security requirements while maintaining high accuracy and user experience.
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