AI Service > Vehicle Plate Recognizer > API Guide

License Plate Analysis API


  • You can check the {appKey} and {secretKey} in the URL & Appkey menu at the top of the console.


Method URI

[Request Header]

Name Value Description
Authorization {secretKey} Security key issued from the console

[Request Body]

  • Put binary data of the image file.
curl -X POST '{appKey}/vehicle-plate' \
-F 'image=@sample.png' \
-H 'Authorization: ${secretKey}'


Name Type Description
image multipart/form-data Image file


[Response Body]

    "header": {
        "isSuccessful": true,
        "resultCode": 0,
        "resultMessage": "SUCCESS"
    "result": {
        "fileType": "png",
        "values": [
        "boxes": [
                "x1": 340,
                "y1": 3231,
                "x2": 523,
                "y2": 3231,
                "x3": 523,
                "y3": 3297,
                "x4": 340,
                "y4": 3297
        "resolution": "normal"


Name Type Description
isSuccessful Boolean Analysis API success or not
resultCode Integer Result code
resultMessage String Result message (success on success, error content on failure)


Name Type Description
fileType String File extension (jpg, png)
values List List of recognition results
values[0].value String Recognized content
values[0].conf Double Confidence score of the recognition result
resolution String normal: the resolution is the recommended resolution (HD 1280*720px) or above, low: the resolution is below the recommended resolution
boxes List List of bounding box coordinates
boxes[0] Object Coordinates of recognized area { x1, y1, x2, y2, x3, y3, x4, y4 }
  • boxes[0]

    Bounding box