AI Service > OCR > General OCR > API Guide

General OCR API

Request

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

[URI]

Method URI
POST https://ocr.api.nhncloudservice.com/v1.0/appkeys/{appKey}/general

Request with image files

[Request Header]

Name Value Description
Authorization {secretKey} Security key issued from the console
Content-Type multipart/form-data Content type

[Request Body]

  • Put binary data of the image file.
curl -X POST 'https://ocr.api.nhncloudservice.com/v1.0/appkeys/{appKey}/general' \
-F 'image=@sample.png' \
-H 'Authorization: ${secretKey}' \
-H 'Content-Type: multipart/form-data'

[Field]

Name Type Description
image multipart/form-data Image file

Request with image URLs

[Request Header]

Name Value Description
Authorization {secretKey} Security key issued from the console
Content-Type application/json Content type

[Request Body]

  • Insert the image URL.
curl -X POST 'https://ocr.api.nhncloudservice.com/v1.0/appkeys/{appKey}/general' \
-H 'Authorization: ${secretKey}' \
-H 'Content-Type: application/json' \
--data '{ "imageUrl": "https://example.com/example.jpg" }'

[Field]

Name Type Description
imageUrl String Image URL
  • If you specify the port directly in the image URL, only ports 80, 443, 10000-12000 can be used.

Response

[Response Body]

{
    "header": {
        "isSuccessful": true,
        "resultCode": 0,
        "resultMessage": "SUCCESS"
    },
    "result": {
        "fileType": "png",
        "listOfInferTexts": [
            {
                "inferTexts": [
                    {
                        "value":"stella",
                        "conf":0.99
                    },
                    {
                        "value":"artois",
                        "conf":0.98
                    }
                ],
                "inferTexts": [
                    {
                        "value":"belgium",
                        "conf":0.99
                    }
                ]
            }
        ],
        "listOfBoundingBoxes": [
            {
                "boundingBoxes": [
                    {
                        "x1": 32,
                        "y1": 23,
                        "x2": 65,
                        "y2": 23,
                        "x3": 65,
                        "y3": 35,
                        "x4": 32,
                        "y4": 35
                    }
                ]
            }
        ]
    }
}

[Header]

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)

[Field]

Name Type Description
fileType String File extension (jpg, png)
values List List of recognition results
listOfInferTexts[0].inferTexts[0].value String Recognized content
listOfInferTexts[0].inferTexts[0].conf Double Confidence score of the recognition result
listOfBoundingBoxes List List of bounding box coordinates
listOfBoundingBoxes[0].boundingBoxes[0] Object Coordinates of recognized area { x1, y1, x2, y2, x3, y3, x4, y4 }
  • boxes[0] Bounding box

General OCR segmentation recognition API

Request

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

[URI]

Method URI
POST https://ocr.api.nhncloudservice.com/v1.0/appkeys/{appKey}/general/cropping

Request with image files

[Request Header]

Name Value Description
Authorization {secretKey} Security key issued from the console
Content-Type multipart/form-data Content type

[Request Body]

  • Input the binary data of the image file.
curl -X POST 'https://ocr.api.nhncloudservice.com/v1.0/appkeys/{appKey}/general/cropping' \
-F 'image=@sample.png' \
-H 'Authorization: ${secretKey}' \
-H 'Content-Type: multipart/form-data'

[Field]

Name Type Description
image multipart/form-data Image file

Request with image URLs

[Request Header]

Name Value Description
Authorization {secretKey} Security key issued from the console
Content-Type application/json Content type

[Request Body]

  • Insert the image URL.
curl -X POST 'https://ocr.api.nhncloudservice.com/v1.0/appkeys/{appKey}/general/cropping' \
-H 'Authorization: ${secretKey}' \
-H 'Content-Type: application/json' \
--data '{ "imageUrl": "https://example.com/example.jpg" }'

[Field]

Name Type Description
imageUrl String Image URL
  • If you specify the port directly in the image URL, only ports 80, 443, 10000-12000 can be used.

Response

[Response Body]

{
    "header": {
        "isSuccessful": true,
        "resultCode": 0,
        "resultMessage": "SUCCESS"
    },
    "result": {
        "fileType": "png",
        "listOfInferTexts": [
            {
                "inferTexts": [
                    {
                        "value":"stella",
                        "conf":0.99
                    },
                    {
                        "value":"artois",
                        "conf":0.98
                    }
                ],
                "inferTexts": [
                    {
                        "value":"belgium",
                        "conf":0.99
                    }
                ]
            }
        ],
        "listOfBoundingBoxes": [
            {
                "boundingBoxes": [
                    {
                        "x1": 32,
                        "y1": 23,
                        "x2": 65,
                        "y2": 23,
                        "x3": 65,
                        "y3": 35,
                        "x4": 32,
                        "y4": 35
                    }
                ]
            }
        ],
        "slicesImages": 2
    }
}

[Header]

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)

[Field]

Name Type Description
fileType String File extension (jpg, png)
values List List of recognition results
listOfInferTexts[0].inferTexts[0].value String Recognized content
listOfInferTexts[0].inferTexts[0].conf Double Confidence score of the recognition result
listOfBoundingBoxes List List of bounding box coordinates
listOfBoundingBoxes[0].boundingBoxes[0] Object Coordinates of recognized area { x1, y1, x2, y2, x3, y3, x4, y4 }
slicesImages Integer Number of images internally split based on the image's aspect ratio
  • boxes[0] Bounding box
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