Help Center/ Optical Character Recognition/ API Reference/ API/ Smart Document Analysis

Updated on 2024-12-27 GMT+08:00

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Smart Document Analysis

Function

This API recognizes text, analyzes layout, extracts key-value pairs, identifies tables in various formatted documents such as certificates, receipts, and forms, and converts the results into a structured JSON format.

Notes and Constraints

English, Chinese, and some traditional Chinese characters are supported.
Only images in PNG, JPG, JPEG, BMP, GIF, TIFF, WebP, PCX, ICO or PSD format and PDF files can be recognized. PDF files can only be recognized one page at a time, but you can use the pdf_page_number parameter to specify which page you want to recognize.
No side of the image can be smaller than 15 or larger than 8,192 pixels.
The area to be recognized must occupy more than 80% of the image. When scanning a table, ensure that all text and its surrounding area are included in the image.
An image can be rotated to any angle.
For more accurate recognition results, the number of characters on a single page must be limited to 1,800 or less.
Text in images with complex backgrounds (such as outdoor scenery or anti-counterfeit watermarks) or distorted text cannot be analyzed.
OCR is a public cloud service whose resources are sharable to all online users. If you need to call multiple APIs concurrently, contact us.

Calling Method

For details, see Calling APIs.

Prerequisites

Before using this API, subscribe to the service and complete authentication. For details, see Subscribing to an OCR Service and Authentication.

Before using the service for the first time, you need to enable the service by clicking Subscribe. You only need to subscribe to the service once. If you have not subscribed to the service yet, error "ModelArts.4204" will be displayed when you call this API. Before you call the API, log in to the OCR console and subscribe to the corresponding service. Ensure that you make the subscription to the service in the same region where you want to call this API.

URI

POST /v2/{project_id}/ocr/smart-document-recognizer

**Table 1** URI parameter
Parameter	Mandatory	Type	Description
project_id	Yes	String	Project ID, which can be obtained by referring to 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.
Enterprise-Project-Id	No	String	Enterprise project ID. OCR allows you to use Enterprise Project Management Service (EPS) to split fees for resources used by different user groups and users. To obtain the enterprise project ID, go to the Enterprise Project Management console, click the enterprise project name, and obtain the enterprise project ID on the enterprise project details page. For details about how to create an enterprise project, see Optical Character Recognition User Guide. NOTE: After an enterprise project is created, parameter transfer involves the following scenarios: If a correct enterprise project ID is carried and the OCR service can be used properly, the bills will be categorized under the corresponding enterprise project for that ID. If an enterprise project ID that is in the correct format but does not actually exist is carried, and the OCR service can be used properly, the bills will display the corresponding non-existent enterprise project ID. If no enterprise project ID or an enterprise project ID with incorrect format (such as special characters) is carried, and the OCR service can be used properly, the bills will be categorized under default.

**Table 3** Request body parameters
Parameter	Mandatory	Type	Description
data	No	String	Set either this parameter or url. Base64 encoded string of the image or PDF. The file has a size limit of 10 MB. No side of the image can be smaller than 15 or larger than 8,192 pixels. Only images in JPG, PNG, BMP, or TIFF format can be recognized. PDFs are converted to images with a resolution of 144 dpi for document analysis, and they must meet the image size requirements mentioned above. If a PDF has multiple pages, only the first page will be recognized.
url	No	String	Set either this parameter or data. URL of an image or PDF. Currently, the following URLs are supported: Public 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 image to be detected resides is stable and reliable. OBS is recommended for storing image data. The URL cannot contain Chinese characters. If Chinese characters exist, they must be encoded using UTF-8.
single_orientation_mode	No	Boolean	Whether to enable the single direction mode. The options are: true: The single direction mode is enabled. false: The single direction mode is disabled. Enabling this function when text in the image is oriented uniformly improves recognition accuracy. Disabling it when text in the image varies in direction allows for multi-direction text recognition. If not specified, true is used by default. In this case, the fields in the image are recognized as in a single direction by default.
language	No	String	Language. If this parameter is not specified, Chinese and English will be used by default. For details, see Languages Supported by Huawei Cloud General Text OCR.
kv	No	Boolean	Whether to extract key-value pairs. If you choose to extract key-value pairs, the results will be returned with the keyword kv_result.
table	No	Boolean	Whether to recognize tables. Here, tables refer to logical tables that typically have an M x N format and have a header in the first row or column. If you choose to recognize tables, the results will be returned with the keyword table_result.
layout	No	Boolean	Whether to analyze the layout. If you choose to analyze the layout, the results will be returned with the keyword layout_result.
return_excel	No	Boolean	This parameter is available only when table is set to True. Whether to return the Base64-encoded field for converting a table into a Microsoft Excel file.
form	No	Boolean	Whether to recognize wired forms. A wired form displays crucial information in wired cells, like household registers and motor vehicle sales invoices. If you choose to recognize wired forms, the results will be returned with the keyword form_result.
formula	No	Boolean	Whether to recognize formulas. The results are returned as a LaTeX sequence. If you choose to recognize formulas, the results will be returned with the keyword formula_result. Enabling formula recognition may slow down the response speed. Currently, formula recognition is supported for up to three lines only. Formulas exceeding three lines are not supported.
kv_map	No	String	JSON-serialized string of a dictionary that needs to be passed in, which is used to normalize and map specific key values in kv_result. For example, if kv_result contains the key-value pair {"Name": "Xiaoming"}, passing in the kv_map {"Name": "Full name"} would result in {"Full Name": "Xiaoming"}. NOTE: Example: "kv_map":"{"Name":"Full name"}"
erase_seal	No	Boolean	Whether to erase the seal. Enabling it can enhance the character recognition accuracy in the area blocked by the seal.
pdf_page_number	No	Integer	Specify which page of the PDF file you want to recognize. If this parameter is specified, the content on the specified page is identified. If this parameter is not specified, the default is to recognize the first page.

Response Parameters

Status code: 200

**Table 4** Response body parameter
Parameter	Type	Description
result	Array of SmartDocumentRecognizerResult objects	List of results returned in the order of the pages, with the first item in the list being the recognition result of the first page, and so on. This parameter is not included for a failed call.

**Table 5** SmartDocumentRecognizerResult
Parameter	Type	Description
ocr_result	SmartDocumentRecognizerOcrResult object	Character recognition results
kv_result	SmartDocumentRecognizerKvResult object	Key-value pair extraction results. This parameter is returned only when kv is set to true.
table_result	SmartDocumentRecognizerTableResult object	Table recognition results. This parameter is returned only when table is set to true.
layout_result	SmartDocumentRecognizerLayoutResult object	Layout analysis results. This parameter is returned only when layout is set to true.
form_result	SmartDocumentRecognizerFormResult object	Wired form recognition results. This parameter is returned only when form is set to true.
formula_result	SmartDocumentRecognizerFormulaResult object	Formula recognition result

**Table 6** SmartDocumentRecognizerOcrResult
Parameter	Type	Description
direction	Float	Image direction
words_block_count	Integer	Number of text blocks that have been recognized
words_block_list	Array of SmartDocumentRecognizerWordsBlockList objects	List of text blocks that have been recognized. The output sequence is from left to right and from top to bottom.

**Table 7** SmartDocumentRecognizerWordsBlockList
Parameter	Type	Description
words	String	Text block recognition results
location	Array<Array<Integer>>	List of location information about a text block, including the 2D coordinates (x, y) of four vertexes in the text area, where the coordinate origin is the upper-left corner of the image, the X axis is horizontal, and the Y axis is vertical.
confidence	Float	Confidence of a recognized text block

**Table 8** SmartDocumentRecognizerKvResult
Parameter	Type	Description
kv_block_count	Integer	Number of key-value pairs recognized by the model
kv_block_list	Array of SmartDocumentRecognizerKVBlock objects	List of key-value pair recognition results

**Table 9** SmartDocumentRecognizerKVBlock
Parameter	Type	Description
key	String	Key in a key-value pair, for example, Name in Name: Xiaoming.
value	String	Value in a key-value pair, for example, Xiaoming in Name: Xiaoming.
words_block_count	Integer	Number of text boxes contained in the key-value pair
words_block_list	Array of SmartDocumentRecognizerKVWordsBlock objects	List of text box recognition results

**Table 10** SmartDocumentRecognizerKVWordsBlock
Parameter	Type	Description
words	String	Text block recognition results
location	Array<Array<Integer>>	List of location information about a text block, including the 2D coordinates (x, y) of four vertexes in the text area, where the coordinate origin is the upper-left corner of the image, the X axis is horizontal, and the Y axis is vertical.
type	String	Type

**Table 11** SmartDocumentRecognizerTableResult
Parameter	Type	Description
table_count	Integer	Number of tables recognized by the model
table_list	Array of SmartDocumentRecognizerTableBlock objects	List of table recognition results

**Table 12** SmartDocumentRecognizerLayoutResult
Parameter	Type	Description
layout_block_count	Integer	Number of document layout areas recognized by the model
layout_block_list	Array of SmartDocumentRecognizerLayoutBlock objects	List of document layout area recognition results

**Table 13** SmartDocumentRecognizerLayoutBlock
Parameter	Type	Description
location	Array<Array<Integer>>	List of location information about a text block, including the 2D coordinates (x, y) of four vertexes in the text area, where the coordinate origin is the upper-left corner of the image, the X axis is horizontal, and the Y axis is vertical.
type	String	Document area type, including text, title, sub_title, image, image_caption, form, table, table_caption, header, footer, page_number, reference, formula, stamp, and directory.
text	String	Text in the document area. For tables and images, the text content is not returned.
words_ids	Array of integers	Index list of character recognition results, indicating which text blocks in words_block_list of ocr_result are located within the document area.
table_id	Integer	This parameter is returned only when type is table and the input parameter table is True, indicating which recognition result corresponds to the current logical table area in table_result.
form_id	Integer	This parameter is returned only when type is form and the input parameter table is True, indicating which recognition result corresponds to the current wired form area in form_result.

**Table 14** SmartDocumentRecognizerFormResult
Parameter	Type	Description
form_count	Integer	Number of wired forms recognized by the model
form_list	Array of SmartDocumentRecognizerTableBlock objects	List of wired form recognition results

**Table 15** SmartDocumentRecognizerTableBlock
Parameter	Type	Description
location	Array<Array<Integer>>	Location information of the current table, in list format, indicating the X and Y coordinates of the four vertices in a text block. The coordinate origin is the upper left corner of the image, the X axis is horizontal, and the Y axis is vertical.
words_block_count	Integer	Number of cells in a table
words_block_list	Array of SmartDocumentRecognizerTableWordsBlock objects	List of cell recognition results
excel	String	Base64 encoded string of the table recognition results. This parameter is returned only when return_excel is set to True. Decode the returned code using base64.b64decode and save it as an .xlsx file.

**Table 16** SmartDocumentRecognizerTableWordsBlock
Parameter	Type	Description
words	String	Character recognition results in a cell
rows	Array of integers	Rows occupied by text. The values start from 0 and are displayed in a list. The data type is Integer.
columns	Array of integers	Columns occupied by text. The values start from 0 and are displayed in a list. The data type is Integer.

**Table 17** SmartDocumentRecognizerFormulaResult
Parameter	Type	Description
formula_count	Integer	Number of mathematical formulas
formula_list	Array of SmartDocumentRecognizerFormulaBlock objects	List of mathematical formula recognition results

**Table 18** SmartDocumentRecognizerFormulaBlock
Parameter	Type	Description
formula	String	Mathematical formula recognition results, which are represented as LaTeX strings
location	Array<Array<Integer>>	Mathematical formula location information, in list format, indicating the X and Y coordinates of the four vertices. The coordinate origin is the upper left corner of the image and has a horizontal X axis and vertical Y axis.

Status code: 400

**Table 19** Response body parameters
Parameter	Type	Description
error_code	String	Error code of a failed API call. For details, see Error Codes. This parameter is not returned for a successful call.
error_msg	String	Error message when the API call fails. This parameter is not included when the API is successfully called.

Example Request

Transfer the Base64 encoded string of the document image for recognition.

POST https://{endpoint}/v2/{project_id}/ocr/smart-document-recognizer 
  
 { 
   "data" : "/9j/4AAQSkZJRgABAgEASABIAAD/4RFZRXhpZgAATU0AKgAAAA..." 
 }

Transfer the URL of the document image for recognition.

POST https://{endpoint}/v2/{project_id}/ocr/smart-document-recognizer 
  
 { 
   "url" : "https://BucketName.obs.myhuaweicloud.com/ObjectName" 
 }

Example Response

Status code: 200

Example response for a successful request

{
  "result" : [ {
    "formula_result" : {
      "formula_count" : 1,
      "formula_list" : [ {
        "formula" : "\\\\int _ { L } \\\\left ( 2 x y ^ { 3 } - y ^ { 2 } \\\\cos x \\\\right ) \\\\mathrm { d } x + \\\\left ( 1 - 2 y \\\\sin x + 3 x ^ { 2 } y ^ { 2 } \\\\right ) \\\\mathrm { d } y",
        "location" : [ [ 171, 919 ], [ 950, 919 ], [ 950, 967 ], [ 171, 967 ] ]
      } ]
    }
  }, {
    "layout_result" : {
      "layout_block_count" : 19,
      "layout_block_list" : [ {
        "location" : [ [ 1165, 368 ], [ 2031, 368 ], [ 2031, 465 ], [ 1165, 465 ] ],
        "type" : "title",
        "text" : "Heilongjiang VAT Special Invoice",
        "words_ids" : [ 0 ]
      }, {
        "location" : [ [ 15, 19 ], [ 1078, 19 ], [ 1078, 637 ], [ 15, 637 ] ],
        "type" : "form",
        "text" : "xxxx",
        "words_ids" : [ 2, 3, 4 ],
        "form_id" : 0
      }, {
        "location" : [ [ 18, 180 ], [ 1077, 180 ], [ 1077, 636 ], [ 18, 636 ] ],
        "type" : "table",
        "text" : "xxxx",
        "words_ids" : [ 0, 1, 2 ],
        "table_id" : 0
      } ]
    }
  }, {
    "form_result" : {
      "form_count" : 1,
      "form_list" : [ {
        "location" : [ [ 15, 19 ], [ 1074, 19 ], [ 1074, 636 ], [ 15, 636 ] ],
        "words_block_count" : 24,
        "words_block_list" : [ {
          "words" : "xxx",
          "rows" : [ 0 ],
          "columns" : [ 0, 1, 2 ]
        }, {
          "words" : "xxxx",
          "rows" : [ 1 ],
          "columns" : [ 0, 1, 2 ]
        } ],
        "excel" : "UEsDBBQAAAAIAAAAIQBhXUk6TwEAAI8EAAATAAAAW0NvbnRlbnRfVHlwZX..."
      } ]
    }
  }, {
    "table_result" : {
      "table_count" : 1,
      "table_list" : [ {
        "words_block_count" : 24,
        "words_block_list" : [ {
          "words" : "Name of goods or taxable labor services",
          "rows" : [ 0 ],
          "columns" : [ 0 ]
        }, {
          "words" : "Specifications and model",
          "rows" : [ 0 ],
          "columns" : [ 1 ]
        } ],
        "excel" : "xxxx",
        "location" : [ [ 275, 967 ], [ 2919, 967 ], [ 2919, 1177 ], [ 275, 1177 ] ]
      } ]
    }
  }, {
    "kv_result" : {
      "kv_block_count" : 25,
      "kv_block_list" : [ {
        "key" : "Invoice issuance date",
        "value" : "August 31, 2017",
        "words_block_count" : 2,
        "words_block_list" : [ {
          "words" : "Invoice issuance date",
          "location" : [ [ 2241, 589 ], [ 2480, 592 ], [ 2480, 646 ], [ 2241, 643 ] ],
          "type" : "key"
        }, {
          "words" : "August 31, 2017",
          "location" : [ [ 2479, 591 ], [ 2850, 595 ], [ 2850, 649 ], [ 2479, 645 ] ],
          "type" : "value"
        } ]
      } ]
    }
  }, {
    "ocr_result" : {
      "direction" : 0.4767,
      "words_block_count" : 67,
      "words_block_list" : [ {
        "words" : "Heilongjiang VAT Special Invoice",
        "location" : [ [ 430, 100 ], [ 874, 99 ], [ 874, 139 ], [ 430, 141 ] ],
        "confidence" : 0.9552
      } ]
    }
  } ]
}

Status code: 400

Example response for a failed request

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

Example SDK Code

The example SDK code is as follows:

You are advised to update the SDKs to the latest versions before use to prevent the local outdated SDKs from being unable to use the latest OCR functions.

Transfer the Base64 encoded string of the document image for recognition.

        
         
           
           
             package com.huaweicloud.sdk.test;

import com.huaweicloud.sdk.core.auth.ICredential;
import com.huaweicloud.sdk.core.auth.BasicCredentials;
import com.huaweicloud.sdk.core.exception.ConnectionException;
import com.huaweicloud.sdk.core.exception.RequestTimeoutException;
import com.huaweicloud.sdk.core.exception.ServiceResponseException;
import com.huaweicloud.sdk.ocr.v1.region.OcrRegion;
import com.huaweicloud.sdk.ocr.v1.*;
import com.huaweicloud.sdk.ocr.v1.model.*;


public class RecognizeSmartDocumentRecognizerSolution {

    public static void main(String[] args) {
        // The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security.
        // In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment
        String ak = System.getenv("CLOUD_SDK_AK");
        String sk = System.getenv("CLOUD_SDK_SK");

        ICredential auth = new BasicCredentials()
                .withAk(ak)
                .withSk(sk);

        OcrClient client = OcrClient.newBuilder()
                .withCredential(auth)
                .withRegion(OcrRegion.valueOf("<YOUR REGION>"))
                .build();
        RecognizeSmartDocumentRecognizerRequest request = new RecognizeSmartDocumentRecognizerRequest();
        SmartDocumentRecognizerRequestBody body = new SmartDocumentRecognizerRequestBody();
        body.withData("/9j/4AAQSkZJRgABAgEASABIAAD/4RFZRXhpZgAATU0AKgAAAA...");
        request.withBody(body);
        try {
            RecognizeSmartDocumentRecognizerResponse response = client.recognizeSmartDocumentRecognizer(request);
            System.out.println(response.toString());
        } catch (ConnectionException e) {
            e.printStackTrace();
        } catch (RequestTimeoutException e) {
            e.printStackTrace();
        } catch (ServiceResponseException e) {
            e.printStackTrace();
            System.out.println(e.getHttpStatusCode());
            System.out.println(e.getRequestId());
            System.out.println(e.getErrorCode());
            System.out.println(e.getErrorMsg());
        }
    }
}

            

          

        
       

Transfer the URL of the document image for recognition.

        
         
           
           
             package com.huaweicloud.sdk.test;

import com.huaweicloud.sdk.core.auth.ICredential;
import com.huaweicloud.sdk.core.auth.BasicCredentials;
import com.huaweicloud.sdk.core.exception.ConnectionException;
import com.huaweicloud.sdk.core.exception.RequestTimeoutException;
import com.huaweicloud.sdk.core.exception.ServiceResponseException;
import com.huaweicloud.sdk.ocr.v1.region.OcrRegion;
import com.huaweicloud.sdk.ocr.v1.*;
import com.huaweicloud.sdk.ocr.v1.model.*;


public class RecognizeSmartDocumentRecognizerSolution {

    public static void main(String[] args) {
        // The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security.
        // In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment
        String ak = System.getenv("CLOUD_SDK_AK");
        String sk = System.getenv("CLOUD_SDK_SK");

        ICredential auth = new BasicCredentials()
                .withAk(ak)
                .withSk(sk);

        OcrClient client = OcrClient.newBuilder()
                .withCredential(auth)
                .withRegion(OcrRegion.valueOf("<YOUR REGION>"))
                .build();
        RecognizeSmartDocumentRecognizerRequest request = new RecognizeSmartDocumentRecognizerRequest();
        SmartDocumentRecognizerRequestBody body = new SmartDocumentRecognizerRequestBody();
        body.withUrl("https://BucketName.obs.myhuaweicloud.com/ObjectName");
        request.withBody(body);
        try {
            RecognizeSmartDocumentRecognizerResponse response = client.recognizeSmartDocumentRecognizer(request);
            System.out.println(response.toString());
        } catch (ConnectionException e) {
            e.printStackTrace();
        } catch (RequestTimeoutException e) {
            e.printStackTrace();
        } catch (ServiceResponseException e) {
            e.printStackTrace();
            System.out.println(e.getHttpStatusCode());
            System.out.println(e.getRequestId());
            System.out.println(e.getErrorCode());
            System.out.println(e.getErrorMsg());
        }
    }
}

            

          

        
       

Transfer the Base64 encoded string of the document image for recognition.

        
         
           
           
             # coding: utf-8

from huaweicloudsdkcore.auth.credentials import BasicCredentials
from huaweicloudsdkocr.v1.region.ocr_region import OcrRegion
from huaweicloudsdkcore.exceptions import exceptions
from huaweicloudsdkocr.v1 import *

if __name__ == "__main__":
    # The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security.
    # In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment
    ak = os.getenv("CLOUD_SDK_AK")
    sk = os.getenv("CLOUD_SDK_SK")

    credentials = BasicCredentials(ak, sk) \

    client = OcrClient.new_builder() \
        .with_credentials(credentials) \
        .with_region(OcrRegion.value_of("<YOUR REGION>")) \
        .build()

    try:
        request = RecognizeSmartDocumentRecognizerRequest()
        request.body = SmartDocumentRecognizerRequestBody(
            data="/9j/4AAQSkZJRgABAgEASABIAAD/4RFZRXhpZgAATU0AKgAAAA..."
        )
        response = client.recognize_smart_document_recognizer(request)
        print(response)
    except exceptions.ClientRequestException as e:
        print(e.status_code)
        print(e.request_id)
        print(e.error_code)
        print(e.error_msg)

            

          

        
       

Transfer the URL of the document image for recognition.

        
         
           
           
             # coding: utf-8

from huaweicloudsdkcore.auth.credentials import BasicCredentials
from huaweicloudsdkocr.v1.region.ocr_region import OcrRegion
from huaweicloudsdkcore.exceptions import exceptions
from huaweicloudsdkocr.v1 import *

if __name__ == "__main__":
    # The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security.
    # In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment
    ak = os.getenv("CLOUD_SDK_AK")
    sk = os.getenv("CLOUD_SDK_SK")

    credentials = BasicCredentials(ak, sk) \

    client = OcrClient.new_builder() \
        .with_credentials(credentials) \
        .with_region(OcrRegion.value_of("<YOUR REGION>")) \
        .build()

    try:
        request = RecognizeSmartDocumentRecognizerRequest()
        request.body = SmartDocumentRecognizerRequestBody(
            url="https://BucketName.obs.myhuaweicloud.com/ObjectName"
        )
        response = client.recognize_smart_document_recognizer(request)
        print(response)
    except exceptions.ClientRequestException as e:
        print(e.status_code)
        print(e.request_id)
        print(e.error_code)
        print(e.error_msg)

            

          

        
       

Transfer the Base64 encoded string of the document image for recognition.

        
         
           
           
             package main

import (
	"fmt"
	"github.com/huaweicloud/huaweicloud-sdk-go-v3/core/auth/basic"
    ocr "github.com/huaweicloud/huaweicloud-sdk-go-v3/services/ocr/v1"
	"github.com/huaweicloud/huaweicloud-sdk-go-v3/services/ocr/v1/model"
    region "github.com/huaweicloud/huaweicloud-sdk-go-v3/services/ocr/v1/region"
)

func main() {
    // The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security.
    // In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment
    ak := os.Getenv("CLOUD_SDK_AK")
    sk := os.Getenv("CLOUD_SDK_SK")

    auth := basic.NewCredentialsBuilder().
        WithAk(ak).
        WithSk(sk).
        Build()

    client := ocr.NewOcrClient(
        ocr.OcrClientBuilder().
            WithRegion(region.ValueOf("<YOUR REGION>")).
            WithCredential(auth).
            Build())

    request := &model.RecognizeSmartDocumentRecognizerRequest{}
	dataSmartDocumentRecognizerRequestBody:= "/9j/4AAQSkZJRgABAgEASABIAAD/4RFZRXhpZgAATU0AKgAAAA..."
	request.Body = &model.SmartDocumentRecognizerRequestBody{
		Data: &dataSmartDocumentRecognizerRequestBody,
	}
	response, err := client.RecognizeSmartDocumentRecognizer(request)
	if err == nil {
        fmt.Printf("%+v\n", response)
    } else {
        fmt.Println(err)
    }
}

            

          

        
       

Transfer the URL of the document image for recognition.

        
         
           
           
             package main

import (
	"fmt"
	"github.com/huaweicloud/huaweicloud-sdk-go-v3/core/auth/basic"
    ocr "github.com/huaweicloud/huaweicloud-sdk-go-v3/services/ocr/v1"
	"github.com/huaweicloud/huaweicloud-sdk-go-v3/services/ocr/v1/model"
    region "github.com/huaweicloud/huaweicloud-sdk-go-v3/services/ocr/v1/region"
)

func main() {
    // The AK and SK used for authentication are hard-coded or stored in plaintext, which has great security risks. It is recommended that the AK and SK be stored in ciphertext in configuration files or environment variables and decrypted during use to ensure security.
    // In this example, AK and SK are stored in environment variables for authentication. Before running this example, set environment variables CLOUD_SDK_AK and CLOUD_SDK_SK in the local environment
    ak := os.Getenv("CLOUD_SDK_AK")
    sk := os.Getenv("CLOUD_SDK_SK")

    auth := basic.NewCredentialsBuilder().
        WithAk(ak).
        WithSk(sk).
        Build()

    client := ocr.NewOcrClient(
        ocr.OcrClientBuilder().
            WithRegion(region.ValueOf("<YOUR REGION>")).
            WithCredential(auth).
            Build())

    request := &model.RecognizeSmartDocumentRecognizerRequest{}
	urlSmartDocumentRecognizerRequestBody:= "https://BucketName.obs.myhuaweicloud.com/ObjectName"
	request.Body = &model.SmartDocumentRecognizerRequestBody{
		Url: &urlSmartDocumentRecognizerRequestBody,
	}
	response, err := client.RecognizeSmartDocumentRecognizer(request)
	if err == nil {
        fmt.Printf("%+v\n", response)
    } else {
        fmt.Println(err)
    }
}

            

          

        
       

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