One-Scan National ID Verification

Extract data from ID cards with advanced barcode decoding, hologram text recognition, and optional liveness checks for secure, instant verification across global formats.

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NATIONAL IDENTITY CARD

REPUBLIC OF HYPERVERGE

NAME

JOHN Q. SAMPLE

ID NUMBER

ID-12345678-9

DATE OF BIRTH

01-JAN-1980

EXPIRY DATE

01-JAN-2030

OFFICIAL GOVERNMENT ID

ADDRESS

123 VERIFICATION STREET
IDENTITY CITY, ID 12345

Barcode & text extractionUnclear fields flagged

Hover to see front & back verification

Field Reference

Comprehensive data extraction from all types of national identity documents

Field Name	Description
document_number	Unique identifier of the ID card
full_name	Complete name as printed on the ID
dob	Date of birth in ISO format (YYYY-MM-DD)
expiry_date	Expiration date in ISO format (YYYY-MM-DD)
issuing_authority	Government body that issued the ID
barcode_payload_json	Complete decoded data from barcode/QR code
face_crop_base64	Base64 encoded image of the face from ID

How Accurate Is It?

We have not published a benchmark for national ID cards yet, so we will not put a made-up number here. This is what we have measured, and how errors get caught.

97-99%

Clean Typed Text

Character accuracy on clean typed text in our 2026 OCR benchmark. Printed ID fields are typed text, but glare, wear and angled photos pull it down.

MRZ + barcode

A Second Reading

Where a card carries an MRZ, its check digits are validated, so a misread usually fails the checksum and gets flagged. Barcodes on the card are decoded alongside the printed text.

Fields the engine is unsure about are flagged for a reviewer instead of guessed. The best test is your own sample, so bring a few real national ID cards captures to the demo.

Verification Workflow

Three-step process for secure, accurate ID verification

Multi-angle Capture Assistant

Capture guidance helps users get the angle and lighting right, so fewer scans need a retake.

Barcode & Text Fusion OCR

Dual extraction from both printed text and encoded barcode data for maximum accuracy and cross-validation.

Tamper & Duplicate Detection

Checks flag IDs that look altered and IDs already seen in another application, for a reviewer to confirm.

Time and Checks

What changes when national ID cards are read by DocsAPI instead of typed in by hand

Time

Manual entryTyped field by field

DocsAPIAbout 1.1 s per page

Speed from our 2026 OCR benchmark, including the network round-trip. Capture quality matters more than processing time: a blurry photo costs the user a retake, so guide them to a clean, flat, well-lit shot.

Checks Before the Data Moves On

MRZ check digits validated where the card has an MRZ
Field formats checked before the data moves on
Low-confidence fields flagged for a reviewer instead of guessed

Fraud catch rates depend on your applicant mix and capture flow, so we would rather test on your samples than quote a number.

Developer Output

Structured data ready for your application

JSON Response

Sample response from the National ID OCR API

{
  "request_id": "req_01HGXYZ123456789",
  "document_type": "national_id",
  "confidence_score": 0.98,
  "extracted_fields": {
    "document_number": "AB123456789",
    "full_name": "JANE MARIE SMITH",
    "dob": "1985-06-15",
    "expiry_date": "2028-06-14",
    "issuing_authority": "DEPARTMENT OF HOME AFFAIRS"
  },
  "barcode_payload": {
    "encoded_data": "SMITH<<JANE<MARIE<<<<<<<<<<<<<<<<<",
    "id_number": "AB123456789",
    "nationality": "USA",
    "gender": "F",
    "additional_data": {
      "address": "123 MAIN ST, ANYTOWN, CA 90210",
      "issue_date": "2018-06-15"
    }
  },
  "face_crop_base64": "data:image/jpeg;base64,/9j/4AAQSkZJRgABA...",
  "verification_results": {
    "tamper_check": "PASSED",
    "expiry_check": "VALID",
    "duplicate_check": "NO_DUPLICATES_FOUND"
  }
}

Regional Compliance

Privacy-first approach for sensitive identity documents

Sensitive ID Handling

Special handling for Aadhaar, SSN, and other privacy-sensitive IDs with masked data options and restricted field extraction.

End-to-End Encryption

All ID data is encrypted in transit and at rest with AES-256 encryption and optional client-side processing for maximum security.

GDPR Retention Controls

Configurable data retention periods with automatic deletion and audit logs to maintain compliance with GDPR and other privacy regulations.

Our platform is designed to meet the strictest global privacy standards, including GDPR, CCPA, and regional regulations for handling sensitive identity documents. We provide flexible deployment options to meet your specific compliance requirements.

Frequently Asked Questions

Common questions about our National ID verification

Image preprocessing corrects rotation and contrast before extraction, which rescues many slightly blurred or glary photos. When a field still cannot be read with confidence, it is flagged rather than guessed, and your flow can ask the user for a recapture. Guiding users to a flat, well-lit shot prevents most of these cases.

Yes, we offer an offline SDK for iOS and Android that can perform ID verification without an internet connection. The offline mode includes core OCR capabilities, barcode scanning, and basic tamper detection. For enhanced security features like duplicate detection or advanced fraud checks, an online connection is required. The offline SDK periodically requires connectivity to update security models and templates.

Our system supports over 100 languages and multiple scripts including Latin, Cyrillic, Arabic, Chinese, Japanese, Korean, Thai, and Devanagari. For non-Latin scripts, we provide both the original text and romanized versions in the API response. Our multi-language capabilities ensure accurate extraction from IDs worldwide, with specialized models for region-specific ID formats and layouts.

Add ID verification to your flow.

Integrate our National ID verification API in minutes and start verifying identities securely.

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