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Vehicle Identification Number (VIN) Redaction
99.7% Accuracy
70+ Data Types

Vehicle Identification Number (VIN) Redaction

Automatically detect and redact VINs across documents with ISO 3779 validation, protecting vehicle ownership records and automotive industry data.

Enterprise Security
Real-Time Processing
Compliance Ready
0 Words Protected
0+ Enterprise Clients
0+ Languages
99.8 %
VIN Detection Accuracy
1000 +
WMI Codes Recognized
15 ms
Avg Validation Time
100 %
ISO 3779 Compliant

Powerful Redaction Features

Everything you need for comprehensive data protection

ISO 3779 Validation

Validate VINs against ISO 3779 standard including check digit verification using the North American modulo 11 algorithm for accurate detection.

Multi-Format Support

Detect VINs in various formats—17-character standard, with spaces or dashes, in vehicle documents, registration forms, and automotive databases.

WMI Decode Support

Recognize World Manufacturer Identifier (WMI) codes to identify vehicle manufacturers and production locations for enhanced context awareness.

Automotive Document Processing

Process vehicle titles, registration documents, insurance forms, service records, and recall notices with specialized automotive document handling.

Fleet Privacy Protection

Secure fleet management data, telematics records, and vehicle tracking information while enabling operational analytics and reporting.

Owner Privacy Linkage

Correlate VINs with associated owner information to ensure comprehensive redaction of vehicle-owner relationship data across documents.

Understanding VIN as Personal Data

Vehicle Identification Numbers (VINs) are unique 17-character codes assigned to every motor vehicle manufactured since 1981. While seemingly just a vehicle identifier, VINs function as personal data because they can be linked to vehicle owners through DMV records, dealer databases, insurance files, and financial documents. Privacy regulations increasingly recognize VINs as requiring protection.

RedactionAPI provides comprehensive VIN detection and redaction with ISO 3779 validation, ensuring accurate identification of legitimate VINs while avoiding false positives. Our automotive-aware processing handles the unique document types and data formats common in vehicle-related industries—from dealer management systems to fleet telematics platforms.

VIN Structure (ISO 3779)

Format: WMI (3) + VDS (6) + VIS (8) = 17 characters
1 H G B H 4 1 J X M N 1 0 9 1 8 6
WMI | VDS | VIS

WMI (1-3)

World Manufacturer Identifier—identifies manufacturer and country of origin

VDS (4-9)

Vehicle Descriptor Section—vehicle attributes including check digit at position 9

VIS (10-17)

Vehicle Identifier Section—model year, plant, and serial number

VIN Check Digit Validation

The North American standard (used for vehicles sold in US, Canada, and Mexico) includes a check digit at position 9 that validates the entire VIN. This mathematical verification eliminates false positives from random 17-character strings, ensuring RedactionAPI only redacts actual VINs.

VIN Check Digit Algorithm

// VIN validation using ISO 3779 check digit algorithm
function validateVIN(vin) {
    vin = vin.toUpperCase().replace(/[^A-HJ-NPR-Z0-9]/g, '');

    if (vin.length !== 17) {
        return { valid: false, reason: 'Invalid length' };
    }

    // Character transliteration values (I, O, Q excluded from VINs)
    const transliteration = {
        'A': 1, 'B': 2, 'C': 3, 'D': 4, 'E': 5, 'F': 6, 'G': 7, 'H': 8,
        'J': 1, 'K': 2, 'L': 3, 'M': 4, 'N': 5, 'P': 7, 'R': 9,
        'S': 2, 'T': 3, 'U': 4, 'V': 5, 'W': 6, 'X': 7, 'Y': 8, 'Z': 9,
        '0': 0, '1': 1, '2': 2, '3': 3, '4': 4, '5': 5, '6': 6, '7': 7, '8': 8, '9': 9
    };

    // Position weights
    const weights = [8, 7, 6, 5, 4, 3, 2, 10, 0, 9, 8, 7, 6, 5, 4, 3, 2];

    // Check for invalid characters (I, O, Q)
    if (/[IOQ]/i.test(vin)) {
        return { valid: false, reason: 'Contains invalid characters (I, O, or Q)' };
    }

    // Calculate weighted sum
    let sum = 0;
    for (let i = 0; i < 17; i++) {
        const char = vin[i];
        const value = transliteration[char];
        if (value === undefined) {
            return { valid: false, reason: `Invalid character: ${char}` };
        }
        sum += value * weights[i];
    }

    // Calculate check digit
    const remainder = sum % 11;
    const expectedCheckDigit = remainder === 10 ? 'X' : String(remainder);
    const actualCheckDigit = vin[8];

    if (expectedCheckDigit !== actualCheckDigit) {
        return {
            valid: false,
            reason: 'Check digit mismatch',
            expected: expectedCheckDigit,
            actual: actualCheckDigit
        };
    }

    return {
        valid: true,
        decoded: {
            wmi: vin.substring(0, 3),      // World Manufacturer ID
            vds: vin.substring(3, 9),      // Vehicle Descriptor Section
            checkDigit: vin[8],            // Check digit
            modelYear: decodeModelYear(vin[9]),
            plantCode: vin[10],
            serialNumber: vin.substring(11, 17)
        }
    };
}

function decodeModelYear(char) {
    const yearCodes = {
        'A': 2010, 'B': 2011, 'C': 2012, 'D': 2013, 'E': 2014,
        'F': 2015, 'G': 2016, 'H': 2017, 'J': 2018, 'K': 2019,
        'L': 2020, 'M': 2021, 'N': 2022, 'P': 2023, 'R': 2024,
        'S': 2025, 'T': 2026, 'V': 2027, 'W': 2028, 'X': 2029,
        'Y': 2030, '1': 2031, '2': 2032, '3': 2033, '4': 2034,
        '5': 2035, '6': 2036, '7': 2037, '8': 2038, '9': 2039
    };
    return yearCodes[char] || 'Unknown';
}

WMI Database

We maintain a comprehensive database of World Manufacturer Identifiers to recognize vehicle manufacturers and provide context-aware detection:

1HG
Honda (USA)
WVW
Volkswagen (Germany)
JTD
Toyota (Japan)
5YJ
Tesla (USA)

Automotive Document Processing

Vehicle-related documents come in many forms, each with specific VIN location patterns and associated data requiring protection. RedactionAPI recognizes automotive document types and applies comprehensive redaction that goes beyond the VIN to protect all vehicle-related personal information.

Ownership Documents

  • Vehicle Titles: VIN, owner names, addresses, lien holder information
  • Registration Documents: VIN, plate number, owner details, expiration dates
  • Bill of Sale: VIN, buyer/seller information, purchase price
  • Lease Agreements: VIN, lessee details, payment terms
  • Loan Documents: VIN, borrower information, financial details

Service & History Records

  • Service Records: VIN, service history, customer information
  • Recall Notices: VIN, owner contact details, vehicle specifics
  • Warranty Claims: VIN, owner details, repair information
  • Inspection Reports: VIN, inspector details, findings
  • Accident Reports: VIN, driver information, incident details

Vehicle History Report Processing

Vehicle history reports aggregate data from multiple sources, containing VINs alongside extensive personal information:

History Report Redaction

// Process vehicle history report with comprehensive redaction
POST /api/v1/automotive/history-report
{
  "document": "vehicle_history_report.pdf",
  "redaction_profile": "vehicle_history_comprehensive",
  "rules": {
    "vin": {
      "action": "redact",
      "method": "full",
      "all_instances": true
    },
    "owner_information": {
      "names": "redact",
      "addresses": "redact",
      "phone_numbers": "redact"
    },
    "registration_data": {
      "plate_numbers": "redact",
      "registration_addresses": "redact"
    },
    "service_records": {
      "customer_names": "redact",
      "dealer_customer_ids": "redact",
      "preserve": ["service_type", "date", "mileage"]
    },
    "financial_data": {
      "sale_prices": "redact",
      "lien_amounts": "redact",
      "preserve_exists": true  // Show "lien recorded" without amount
    }
  }
}

// Result preserves vehicle history value while protecting privacy
{
  "redactions_applied": 47,
  "vin_instances_found": 12,
  "owner_records_redacted": 4,
  "service_records_preserved": 23,
  "document_utility": "maintained"
}

Fleet Management and Telematics Data

Fleet operators and telematics providers process massive volumes of VIN-linked data—location tracking, driver behavior, fuel consumption, maintenance alerts. This data enables operational efficiency but also creates privacy obligations when it can be linked to individual drivers or vehicle owners.

Telematics Data Categories

Vehicle Identification

  • • VIN
  • • Device/unit ID
  • • License plate
  • • Fleet asset number

Location Data

  • • GPS coordinates
  • • Route history
  • • Stop locations
  • • Geofence events

Driver Behavior

  • • Driver ID
  • • Driving patterns
  • • Safety events
  • • Hours of service

Anonymization for Fleet Analytics

RedactionAPI enables fleet analytics on anonymized data, preserving operational insights while protecting driver and vehicle privacy:

Fleet Data Anonymization

// Anonymize fleet telematics for analytics
POST /api/v1/automotive/fleet-anonymize
{
  "data_source": "telematics_export.json",
  "output_purpose": "fleet_efficiency_analysis",
  "anonymization": {
    "vin": {
      "method": "tokenize",  // Consistent token for same VIN
      "preserve_wmi": true    // Keep manufacturer for fleet mix analysis
    },
    "driver_id": {
      "method": "tokenize"
    },
    "location": {
      "method": "generalize",
      "precision": "city_level"  // Remove specific addresses
    },
    "timestamps": {
      "method": "round",
      "precision": "hour"
    }
  },
  "preserve_for_analysis": [
    "vehicle_type",
    "fuel_consumption",
    "mileage",
    "maintenance_alerts",
    "trip_duration"
  ]
}

// Result enables fleet analysis without individual tracking
{
  "records_processed": 125000,
  "unique_vehicles_tokenized": 450,
  "unique_drivers_tokenized": 380,
  "locations_generalized": 125000,
  "analytics_utility": "high"
}

Industry-Specific Use Cases

Automotive Dealers

Protect customer data when sharing inventory, trade-in records, or service history with third parties.

  • • Trade-in appraisal sharing
  • • Service record transfers
  • • Inventory syndication
  • • DMS data exports

Insurance Companies

Redact VINs in claim documentation, underwriting files, and analytics datasets.

  • • Claims processing
  • • Fraud investigation files
  • • Actuarial analysis
  • • Regulatory reporting

Fleet Operators

Anonymize fleet data for benchmarking, reporting, and third-party analytics.

  • • Telematics data sharing
  • • Fleet performance reports
  • • Maintenance records
  • • Compliance documentation

Automotive OEMs

Protect owner data in warranty systems, recall management, and connected vehicle platforms.

  • • Recall notification systems
  • • Warranty claim processing
  • • Connected car data
  • • Quality analytics

VIN Redaction API

API Usage Example

// Redact VINs from document
POST /api/v1/redact
{
  "content": "Vehicle Information:\nVIN: 1HGBH41JXMN109186\nOwner: John Smith\nAddress: 123 Main St, Anytown, USA",
  "rules": {
    "vin": {
      "enabled": true,
      "validate": true,        // Use check digit validation
      "method": "full",        // or "partial" to keep WMI
      "marker": "[VIN_REDACTED]"
    },
    "associated_pii": true     // Also redact owner info
  }
}

// Response
{
  "redacted_content": "Vehicle Information:\nVIN: [VIN_REDACTED]\nOwner: [NAME_REDACTED]\nAddress: [ADDRESS_REDACTED]",
  "statistics": {
    "vins_detected": 1,
    "vins_validated": 1,
    "vin_details": [{
      "position": {"start": 24, "end": 41},
      "valid": true,
      "manufacturer": "Honda",
      "model_year": 2021
    }],
    "associated_redactions": 2
  }
}

Protect Vehicle Data

Start redacting VINs and associated vehicle data with ISO 3779 validated detection. Automotive industry compliance made simple.

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