Handwritten Text OCR

Function

Handwriting OCR recognizes the handwritten and printed text and returns structured information in JSON format. For details about the constraints on using this API, see Constraints. For details about how to use this API, see Introduction to OCR.

Figure 1 Handwritten Text OCR example

Prerequisites

Before using Handwritten Text OCR, you need to apply for the service and complete authentication. For details, see Subscribing to OCR and Authentication.

URI

POST https://{endpoint}/v2/{project_id}/ocr/handwriting

Table 1 Path parameters

Parameter

Mandatory

Description

endpoint

Yes

Domain name or IP address of the server bearing the REST service endpoint. The endpoint varies depending on services in different regions. For more details, see Endpoints.

For example, the endpoint of OCR in the CN North-Beijing4 region is ocr.cn-north-4.myhuaweicloud.com.

project_id

Yes

Project ID, which can be obtained from Obtaining a Project ID.

Request Parameters

Table 2 Request header parameters

Parameter

Mandatory

Type

Description

X-Auth-Token

Yes

String

User token

During API authentication using a token, the token is added to requests to obtain permissions for calling the API. The value of X-Subject-Token in the response header is the obtained token.

Content-Type

Yes

String

MIME type of the request body. The value is application/json.

Table 3 Request body parameters

Parameter

Mandatory

Type

Description

image

No. Set either this parameter or url.

String

Base64 character string converted from the image. The size cannot exceed 10 MB. The narrow edge contains at least 8 pixels and the wide edge contains at most 8,192 pixels. The JPEG, JPG, PNG, BMP, and TIFF formats are supported.

url

No. Set either this parameter or image.

String

Image URL. Currently, the following URLs are supported:

  • Public network: HTTP/HTTPS URL
  • URL provided by OBS. You need to be authorized to use OBS data, including service authorization, temporary authorization, and anonymous public authorization. For details, see Configuring Access Permissions of OBS.
NOTE:
  • The API response time depends on the image download time. If the image download takes a long time, the API call will fail.
  • Ensure that the storage service where the images to be detected reside is stable and reliable. OBS is recommended for storing image data.

quick_mode

No

Boolean

If the quick mode is enabled, a single-line text image (containing only one line of text and the text area occupies more than 50% of the total text area) can be quickly recognized. Possible values are as follows:

  • true: Enable the quick mode.
  • false: Disable the quick mode.

If this parameter is not specified, the default value false is used, indicating that the quick mode is disabled.

char_set

No

String

Character set. You can specify the range of the output character set as required. Possible values are as follows:

  • digit: digital mode
  • letter: uppercase and lowercase letters
  • digit_letter: digit + letter mode
  • general: digit + letter + Chinese character mode

If this parameter is not specified, general is used by default.

detect_direction

No

Boolean

Whether to enable the function of aligning tilted images. The options are as follows:

  • true: The tilted image is aligned.
  • false: The tilted image is not aligned.

An image tilted at any angle can be aligned. If this parameter is not specified, the default value false is used.

Response Parameters

Response parameters and status codes vary in different recognition results. They are described as below.

Status code: 200

Table 4 Response body parameter

Parameter

Type

Description

result

HandwritingResult object

Calling result of a successful API call

This parameter is not included when the API fails to be called.

Table 5 HandwritingResult

Parameter

Type

Description

words_block_count

Integer

Number of detected text blocks

words_block_list

Array of HandwritingItemsResponse objects

List of text blocks to be recognized. The output sequence is from left to right and from top to bottom.

Table 6 HandwritingItemsResponse

Parameter

Type

Description

words

String

Recognition result of a text block

type

String

Type of the recognition result. The return value is text.

confidence

Number

Confidence information of a related field. The value ranges from 0 to 1.

A higher confidence level indicates a higher reliability and accuracy of the corresponding field identified.

The confidence is not equal to the accuracy, and is calculated through related algorithms.

location

Array of integers

List of location information about a words block, including the coordinates (x, y) of vertexes of the text block, where the coordinate origin is the upper-left vertex of the image. The x-axis is horizontal, and the y-axis is vertical.

Status code: 400

Table 7 Response body parameters

Parameter

Type

Description

error_code

String

Error code of a failed API call. For details, see Error Codes.

If error code ModelArts.4204 is displayed, refer to Why Is a Message Stating "ModelArts.4204" Displayed When the OCR API Is Called?

This parameter is not included when the API is successfully called.

error_msg

String

Error message returned when the API fails to be called

This parameter is not included when the API is successfully called.

Request Example

  • The endpoint is the request URL for calling an API. Endpoints vary depending on services and regions. For details, see Endpoints.

    For example, Handwritten Text OCR is deployed in the CN North-Beijing4 region. The endpoint is ocr.cn-north-4.myhuaweicloud.com. The request URL is https://ocr.cn-north-4.myhuaweicloud.com/v2/{project_id}/ocr/handwriting. project_id is the project ID. For details about how to obtain the project ID, see Obtaining a Project ID.

  • For details about how to obtain a token, see Making an API Request.
  • Request example (Method 1: Use the image Base64 string.)
    POST https://{endpoint}/v2/{project_id}/ocr/handwriting 
     Request Header:   
     Content-Type: application/json   
     X-Auth-Token: MIINRwYJKoZIhvcNAQcCoIINODCCDTQCAQExDTALBglghkgBZQMEAgEwgguVBgkqhkiG...     
     Request Body:
     { 
        "image": "/9j/4AAQSkZJRgABAgEASABIAAD/4RFZRXhpZgAATU0AKgAAAA...",
        "quick_mode": false,
        "char_set": "general",
        "detect_direction": false
      }
  • Request example (Method 2: Use the image URL.)
    POST https://{endpoint}/v2/{project_id}/ocr/handwriting 
     Request Header:   
     Content-Type: application/json   
     X-Auth-Token: MIINRwYJKoZIhvcNAQcCoIINODCCDTQCAQExDTALBglghkgBZQMEAgEwgguVBgkqhkiG...      
     Request Body:
     {
         "url":"https://BucketName.obs.xxxx.com/ObjectName",
         "quick_mode ":false,
         "char_set": "general",
         "detect_direction": false
      }
  • Sample code for a Python 3 request (For codes in other languages, refer to the following sample or use OCR SDK.)
    # encoding:utf-8
    
    import requests
    import base64
    
    url = "https://{endpoint}/v2/{project_id}/ocr/handwriting"
    token = "Actual token value obtained by the user"
    headers = {'Content-Type': 'application/json', 'X-Auth-Token': token}
    
    imagepath = r'./data/handwriting-demo.png'
    with open(imagepath, "rb") as bin_data:
        image_data = bin_data.read()
    image_base64 = base64.b64encode(image_data).decode("utf-8")  # Base64 encoding of images.
    payload = {"image": image_base64} # url or image.
    response = requests.post(url, headers=headers, json=payload)
    print(response.text)

Example Response

Status code: 200

Successful response example

{
    "result": {
        "words_block_count": 2,
        "words_block_list": [
            {
                "words": "Words recognized from the image",
                "type": "text",
                "confidence": 0.98,
                "location": [
                    [282, 45],
                    [461, 47],
                    [460, 77],
                    [280, 76]
                ]
            },
            {
                "words": "Words recognized from the image",
                "type": "text",
                "confidence": 0.99,
                "location": [
                    [949, 52],
                    [1095, 53],
                    [1100, 87],
                    [953, 86]
                ]
            }
        ]

    }
}

Status code: 400

Failure response example

{
    "error_code": "AIS.0103",
    "error_msg": "The image size does not meet the requirements."
}

Status Codes

Status Code

Description

200

Success response

400

Failure response

For details about status codes, see Status Codes.

Error Codes

For details about error codes, see Error Codes.