Indonesian SIM (Surat Izin Mengemudi) OCR API

The Challenge of Indonesian eKYC Verification

In Indonesia, the Surat Izin Mengemudi (SIM) serves as a primary identity document alongside the KTP. However, extracting data from it is highly challenging. The cards frequently suffer from intense lamination glare, and the critical NIK (Nomor Induk Kependudukan) is often printed in varying alignments depending on the issuance year and local Polda (police region). Standard OCR tools frequently misread these densely packed alphanumeric strings or confuse a SIM A (Car) with a SIM C (Motorcycle). To see how our layout-aware identity models overcome these specific regional hardware and optical challenges, explore our core driver license OCR infrastructure.

Zero-SDK Architecture & Edge-Routed Speed

In the Southeast Asian market, mobile app size is critical. We deliver our SIM OCR engine as a pure REST API, completely eliminating the need to force heavy SDKs onto users' devices. Furthermore, Indonesia is a vast archipelago where centralized cloud servers cause massive latency. StructOCR is natively deployed on Cloudflare's global edge network, meaning requests from Jakarta or Bali are processed at the nearest local node for lightning-fast TTFB (Time to First Byte). Simply send a Base64 string or file upload, and receive structured JSON instantly.

High-Growth Use Cases in Indonesia

Integration & AI Prompts

Integrating our API takes minutes. We natively process direct file uploads, public URLs, and Base64-encoded strings (automatically cleaning up illegal whitespaces). For comprehensive endpoint parameters, consult our developer documentation.

import requests
import base64

# 1. Prepare Base64 Image of the Indonesian SIM
with open("indonesian_sim_sample.jpg", "rb") as image_file:
    base64_image = base64.b64encode(image_file.read()).decode('utf-8')

url = "https://api.structocr.com/v1/driver-license"
headers = {
    "x-api-key": "YOUR_API_KEY",
    "Content-Type": "application/json"
}

# Pass the pure Base64 string directly
payload = {
    "img": base64_image 
}

response = requests.post(url, headers=headers, json=payload)
result = response.json()

if result.get('success'):
    data = result['data']
    print(f"✅ Extracted NIK: {data['personal_number']}")
    print(f"✅ SIM Number: {data['document_number']}")
    print(f"✅ Vehicle Category (SIM Type): {data['vehicle_class']}")

{
  "success": true,
  "data": {
    "type": "drivers_license",
    "country_code": "IDN",
    "region": "DKI JAKARTA",
    "document_number": "1234-5678-900123",
    "personal_number": "3171234567890001",
    "surname": "SANTOSO",
    "given_names": "BUDI",
    "sex": "M",
    "date_of_birth": "1990-08-17",
    "place_of_birth": "JAKARTA",
    "date_of_issue": "2023-08-17",
    "date_of_expiry": "2028-08-17",
    "date_of_first_issue": null,
    "issuing_authority": "POLDA METRO JAYA",
    "address": "JL. SUDIRMAN NO 45, RT 01/02, KEBAYORAN BARU, JAKARTA SELATAN",
    "vehicle_class": "C",
    "extra_details": {}
  }
}