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🚗 Vehicle Registration Book OCR

1 ICper page
v1.0 Active Jul 2026 POST /ocr/v3/vehicle-registration/file

Welcome to the Vehicle Registration Book OCR API, part of iApp Any Documents OCR by iApp Technology Co., Ltd. Extracts vehicle and ownership data from Department of Land Transport vehicle registration books (คู่มือจดทะเบียนรถ), including the latest owner entry. Supports scanned PDFs and photographs of the blue book.

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Example Images (Click to try)

Getting Started

  1. Prerequisites

    • An API key from iApp Technology
    • Document file: Vehicle Registration Book (เล่มทะเบียนรถ (คู่มือจดทะเบียนรถ))
    • Supported file formats: PDF, JPG, JPEG, PNG, WEBP
    • Maximum file size: 50MB
  2. Quick Start

    • Single POST with multipart/form-data
    • Structured JSON out, with a per-field confidence score
    • Multi-page PDFs are combined into a single docs entry.
  3. Key Features

    • Field-level extraction with confidence scoring
    • Thai and English output via target_lang
    • Optional raw OCR text via return_ocr
    • Handles photographs and scanned PDFs
  4. Security & Compliance

    • GDPR and PDPA compliant
    • Secure API endpoints
    • No data retention after processing
How to get API Key?

Please visit API Key Management page to view your existing API key or request a new one.

API Endpoints

EndpointMethodDescriptionCost
/ocr/v3/vehicle-registration/file
/v3/store/ocr/vehicle-registration
POSTExtract vehicle and ownership data from Thai vehicle registration books1 IC per page

Both forms are equivalent. There is no base64 variant for this endpoint — file upload only.

Request

Request Headers

HeaderValueRequired
apikeyYour iApp API keyYes

Request Body (multipart/form-data)

ParameterTypeDefaultDescription
fileFile (repeatable)Required. Document file. PDF pages are processed automatically.
return_ocrBooleanfalseInclude the raw OCR text in the response.
target_langStringthLanguage of extracted values: th or en.
include_confidenceBooleantrueInclude a per-field confidence score (0.00–1.00).

cURL

curl -X POST "https://api.iapp.co.th/ocr/v3/vehicle-registration/file" \
-H "apikey: YOUR_API_KEY" \
-F "file=@/path/to/document.pdf" \
-F "target_lang=th" \
-F "include_confidence=true"

Response

{
"docs": [
{
"message": "success",
"raw": {},
"processed": {
"registration_date": "27 มิถุนายน 2562",
"license_plate": "1กข 1234",
"province": "กรุงเทพมหานคร",
"vehicle_type": "รถยนต์นั่งส่วนบุคคลไม่เกิน 7 คน",
"brand": "ISUZU",
"model": "mu-X",
"year": 2019,
"color": "ขาว",
"body_number": "MP1TFR85XKT000000",
"engine_number": "4JJ1XX0000",
"fuel_type": "ดีเซล",
"seating_capacity": 7,
"owner_name": "นายสมชาย ตัวอย่าง",
"owner_id": "1100000000001",
"owner_address": "123 ถนนพหลโยธิน แขวงจตุจักร เขตจตุจักร กรุงเทพมหานคร",
"occupant_name": null,
"occupant_id": null
},
"confidence": {
"registration_date": 0.95,
"license_plate": 0.95,
"province": 0.95,
"vehicle_type": 0.95,
"brand": 0.95,
"model": 0.95
},
"process_ms": 4120
}
],
"docs_count": 1,
"process_ms": 4300
}

The iapp-input-pages response header reports the number of billed pages.

Supported Fields

FieldTypeDescription
registration_dateStringRegistration date
license_plateStringLicence plate number
provinceStringProvince of registration
vehicle_typeStringVehicle type
brandStringMake, e.g. ISUZU
modelStringModel, e.g. mu-X
yearIntegerModel year (CE)
colorStringColour
body_numberStringChassis / body number
engine_numberStringEngine number
fuel_typeStringFuel type
seating_capacityIntegerNumber of seats
owner_nameStringName of the most recent registered owner
owner_idStringNational ID / juristic person ID of the owner
owner_addressStringOwner address
occupant_nameStringName of the possessor, if any
occupant_idStringNational ID / juristic person ID of the possessor, if any

Error Handling

StatusMeaning
400Unsupported file extension, or file larger than 50MB
401Missing or invalid apikey
402Insufficient credit balance
404Unknown document type in the URL
422No file attached to the request
500Processing error — the response contains an error code to quote to support

Code Examples

Python

import requests

url = "https://api.iapp.co.th/ocr/v3/vehicle-registration/file"
headers = {"apikey": "YOUR_API_KEY"}
files = {"file": open("document.pdf", "rb")}
data = {"target_lang": "th", "include_confidence": "true"}

response = requests.post(url, headers=headers, files=files, data=data)
result = response.json()
print(result["docs"][0]["processed"])
print(result["docs"][0]["confidence"])

JavaScript

const form = new FormData();
form.append("file", fileInput.files[0]);
form.append("target_lang", "th");
form.append("include_confidence", "true");

const res = await fetch("https://api.iapp.co.th/ocr/v3/vehicle-registration/file", {
method: "POST",
headers: { apikey: "YOUR_API_KEY" },
body: form,
});
const result = await res.json();
console.log(result.docs[0].processed);

PHP

<?php
$ch = curl_init();
curl_setopt($ch, CURLOPT_URL, "https://api.iapp.co.th/ocr/v3/vehicle-registration/file");
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, ["apikey: YOUR_API_KEY"]);
curl_setopt($ch, CURLOPT_POSTFIELDS, [
"file" => new CURLFile("/path/to/document.pdf"),
"target_lang" => "th",
]);
$response = curl_exec($ch);
curl_close($ch);
echo $response;

Java

OkHttpClient client = new OkHttpClient();

RequestBody body = new MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart("file", "document.pdf",
RequestBody.create(new File("/path/to/document.pdf"),
MediaType.parse("application/pdf")))
.addFormDataPart("target_lang", "th")
.build();

Request request = new Request.Builder()
.url("https://api.iapp.co.th/ocr/v3/vehicle-registration/file")
.addHeader("apikey", "YOUR_API_KEY")
.post(body)
.build();

try (Response response = client.newCall(request).execute()) {
System.out.println(response.body().string());
}

Swift

let url = URL(string: "https://api.iapp.co.th/ocr/v3/vehicle-registration/file")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "apikey")

let boundary = UUID().uuidString
request.setValue("multipart/form-data; boundary=\(boundary)",
forHTTPHeaderField: "Content-Type")

var data = Data()
let fileData = try Data(contentsOf: URL(fileURLWithPath: "/path/to/document.pdf"))
data.append("--\(boundary)\r\n".data(using: .utf8)!)
data.append("Content-Disposition: form-data; name=\"file\"; filename=\"document.pdf\"\r\n\r\n".data(using: .utf8)!)
data.append(fileData)
data.append("\r\n--\(boundary)--\r\n".data(using: .utf8)!)

URLSession.shared.uploadTask(with: request, from: data) { responseData, _, _ in
if let responseData, let json = String(data: responseData, encoding: .utf8) {
print(json)
}
}.resume()

Kotlin

val client = OkHttpClient()

val body = MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart(
"file", "document.pdf",
File("/path/to/document.pdf").asRequestBody("application/pdf".toMediaType())
)
.addFormDataPart("target_lang", "th")
.build()

val request = Request.Builder()
.url("https://api.iapp.co.th/ocr/v3/vehicle-registration/file")
.addHeader("apikey", "YOUR_API_KEY")
.post(body)
.build()

client.newCall(request).execute().use { response ->
println(response.body?.string())
}

Dart

import 'package:http/http.dart' as http;

final request = http.MultipartRequest(
'POST',
Uri.parse('https://api.iapp.co.th/ocr/v3/vehicle-registration/file'),
);
request.headers['apikey'] = 'YOUR_API_KEY';
request.fields['target_lang'] = 'th';
request.files.add(
await http.MultipartFile.fromPath('file', '/path/to/document.pdf'),
);

final response = await request.send();
print(await response.stream.bytesToString());

Limitations & Best Practices

Limitations

  • Maximum file size 50MB per request
  • Supported formats: PDF, JPG, JPEG, PNG, WEBP
  • Accuracy depends on image quality — heavily degraded scans, glare and handwriting over printed values reduce field-level accuracy
  • Extraction is limited to the fields listed above

Best Practices

  • Prefer the original PDF over a photograph where you have one
  • Photograph the whole document, square-on and in even lighting
  • Use at least 300 DPI for scans
  • Check the confidence score per field and route low-confidence values to manual review
  • Send multiple documents in one request where supported to reduce round trips

Accuracy & Performance

Field-level extraction accuracy measured on the internal ChindaOCR-M3 golden evaluation set — visually re-verified labels over real Thai documents, including low-resolution photographs and bills partly obscured by handwriting.

Document TypeDocsFieldsAccuracy
Vehicle Registration Book21392.3%
Overall, all six document types2514798.6%

Support

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