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PDF, JPG, JPEG, PNG, BMP, TIFF (max 50MB)
Description: Extracts structured address and name data from documents using DeISTech Azure OCR.
Supported Formats: PDF, JPG, JPEG, PNG, BMP, TIFF
Processing Time: ~12-15 seconds
Confidence: 95%+ accuracy
success - Boolean indicating success/failurefileName - Original file nameprocessingTime - Processing time in millisecondsconfidence - Extraction confidence (0-100)extractedData - Structured address and name dataDescription: Extracts transaction data and account information from bank statement documents using DeISTech Azure OCR.
Supported Formats: PDF, JPG, JPEG, PNG, BMP, TIFF
Processing Time: ~12-15 seconds
Confidence: 95%+ accuracy
success - Boolean indicating success/failurefileName - Original file nameprocessingTime - Processing time in millisecondsconfidence - Extraction confidence (0-100)extractedData - Structured bank statement data (transactions, balances, account info)Description: Processes both bank statement and payslip documents together for combined data extraction and cross-validation using DeISTech Azure OCR.
Supported Formats: PDF, JPG, JPEG, PNG, BMP, TIFF (for both files)
Processing Time: ~15-20 seconds
Confidence: 95%+ accuracy
Note: Requires two file uploads - one bank statement and one payslip
success - Boolean indicating success/failurebankstatementFileName - Original bank statement file namepayslipFileName - Original payslip file nameprocessingTime - Processing time in millisecondsconfidence - Extraction confidence (0-100)extractedData - Combined data from both documents with cross-validationDescription: Comprehensive fraud detection using rule-based checks, ML scoring, and TruFor deep learning.
Supported Formats: PDF, PNG, JPG, JPEG, TIF, TIFF
Processing Time: 2-3 seconds with GPU acceleration
Features: 15+ detection methods including ELA, metadata analysis, photo fraud detection
tamper_score - Tampering likelihood (0-100)synthetic_score - AI-generated content likelihood (0-100)risk_assessment - Overall risk level (low/medium/high/critical)detected_by - Detection method used (rule-based, ml, or hybrid)forgery_heatmap - Base64-encoded localization mapforensic_insights - Detailed analysis findingsrecommendations - Actionable next steps