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Endpoint Details

POST /api/ocr/address

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

Response Fields:

  • success - Boolean indicating success/failure
  • fileName - Original file name
  • processingTime - Processing time in milliseconds
  • confidence - Extraction confidence (0-100)
  • extractedData - Structured address and name data

POST /api/ocr/bankstatement

Description: 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

Response Fields:

  • success - Boolean indicating success/failure
  • fileName - Original file name
  • processingTime - Processing time in milliseconds
  • confidence - Extraction confidence (0-100)
  • extractedData - Structured bank statement data (transactions, balances, account info)

POST /api/ocr/bankstatement-payslip

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

Response Fields:

  • success - Boolean indicating success/failure
  • bankstatementFileName - Original bank statement file name
  • payslipFileName - Original payslip file name
  • processingTime - Processing time in milliseconds
  • confidence - Extraction confidence (0-100)
  • extractedData - Combined data from both documents with cross-validation

POST /api/forensics/analyze-hybrid

Description: 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

Response Fields:

  • 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 map
  • forensic_insights - Detailed analysis findings
  • recommendations - Actionable next steps