The Node.js SDK for Argentina Passport OCR

Why Argentine Passport OCR is Difficult in Node.js

Building a reliable passport OCR pipeline from scratch is non-trivial for Argentine documents. The Argentine passport features a bilingual layout, combining Spanish and English text on the same data page. Spanish uses accented characters such as á, é, í, ó, ú, ü, and the distinctive ñ, which frequently cause misinterpretation in standard Node.js wrappers like Tesseract, leading to character corruption and field misalignment. Furthermore, the documents incorporate intricate security backgrounds, guilloche patterns, and the Sol de Mayo emblem that introduce optical noise. Developing custom RegEx patterns in JavaScript to parse the Machine Readable Zone (MRZ) while correcting these bilingual and accented-character alignment issues is highly brittle, often resulting in high manual review rates.

Enterprise-Grade Extraction with the StructOCR SDK

StructOCR simplifies document processing in your JavaScript ecosystem by replacing complex pipelines with a single async API call. Our service leverages pre-trained Deep Learning models optimized specifically for Latin American identity documents and the complexities of Spanish/English bilingual typography. Our passport mrz ocr api automatically handles perspective correction, denoising, and glare removal. Instead of returning raw, unstructured text strings, the StructOCR Node.js SDK provides standardized JSON output with validated fields. This capability is crucial for applications managing international borders, as it eliminates the need for manual parsing, delivering production-ready data directly to your Express, NestJS, or Next.js applications.

Production Use Cases

• Digital Onboarding (e-KYC): Reduce drop-off rates by pre-filling user data from Argentine Passports into your fintech or digital services apps in under 2 seconds.
• Travel & Aviation Apps: Seamlessly integrate with Node.js backends for automated check-in systems and border management at hubs like Ministro Pistarini International Airport (EZE) and Aeroparque Jorge Newbery (AEP) in Buenos Aires.
• Financial Compliance: Ensure strict compliance with the Central Bank of Argentina (BCRA) and Unidad de Información Financiera (UIF) Anti-Money Laundering (AML) regulations by automatically and accurately verifying identity documents.

Implementation: Node.js SDK

The official Node.js SDK simplifies Argentine passport extraction. It handles the file buffer and parses both MRZ and visual fields containing bilingual Spanish and English text, including special characters like á, é, í, ó, ú, ü, ñ.

Prerequisite: npm install structocr

const StructOCR = require('structocr');

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// Initialize the client with your API key
const client = new StructOCR('YOUR_API_KEY_HERE');

async function scanArgentinaPassport() {
  // Note: Supports JPG, PNG, WebP (Max 4.5MB)
  const imagePath = './argentina_passport_sample.jpg';

  try {
    console.log(`Processing Argentina passport: ${imagePath}...`);

    // The SDK handles file reading and the API call seamlessly
    const result = await client.scanPassport(imagePath);

    if (result.success && result.data) {
      const data = result.data;
      console.log('✅ Extraction Successful!');
      
      // Basic Identity (MRZ + VIZ)
      console.log(`Passport #: ${data.passport_number}`);
      console.log(`Name:       ${data.surname} ${data.given_names}`);
      console.log(`Nation:     ${data.nationality} (${data.country_code})`);
      
      // Visual Zone Specifics
      console.log(`Birth Place:${data.place_of_birth}`);
      console.log(`Authority:  ${data.issuing_authority}`);
      
      // Dates
      console.log(`DOB:        ${data.date_of_birth} (${data.sex})`);
      console.log(`Expiry:     ${data.date_of_expiry}`);

    } else {
      console.error('❌ Extraction Failed:', result.error || 'Unknown Error');
    }
  } catch (error) {
    console.error('An unexpected error occurred:', error.message);
  }
}

scanArgentinaPassport();

Sample JSON Output

StructOCR returns a normalized JSON object, automatically managing character encodings and structuring the data extracted from the Argentine passport.

{
  "success": true,
  "data": {
    "type": "passport",
    "country_code": "ARG",
    "nationality": "ARG",
    "passport_number": "A12345678",
    "surname": "GONZÁLEZ",
    "given_names": "JUAN CARLOS",
    "sex": "M",
    "date_of_birth": "1993-10-12",
    "place_of_birth": "BUENOS AIRES",
    "date_of_issue": "2023-04-05",
    "date_of_expiry": "2028-04-04",
    "issuing_authority": "REGISTRO NACIONAL DE LAS PERSONAS"
  }
}