


Alibaba Cloud OCR and PHP development: a practical tutorial example
Alibaba Cloud OCR and PHP development: a practical tutorial example
- Introduction
With the development of artificial intelligence and big data technology, OCR (Optical Character Recognition, optical character recognition) technology Applications in various fields are becoming increasingly widespread. Alibaba Cloud OCR is an excellent OCR solution provided by Alibaba Cloud, which can realize the recognition, extraction and conversion of text in images. This article will introduce how to use Alibaba Cloud OCR and PHP for development, and give a practical tutorial example. - Preparation
Before starting to use Alibaba Cloud OCR, we need to do some preparations:
(1) Register an Alibaba Cloud account and activate the OCR service. For specific operations, please refer to Alibaba Cloud official documentation.
(2) Install PHP. Make sure PHP is properly installed in your development environment and able to run PHP scripts.
(3) Obtain the API key of Alibaba Cloud OCR. Create an AccessKey in the Alibaba Cloud console and record the AccessKeyId and AccessKeySecret. - Using Alibaba Cloud OCR SDK
Alibaba Cloud provides SDKs for OCR development using multiple programming languages, including PHP SDK. We can install Alibaba Cloud OCR SDK through Composer:
composer require alibabacloud/sdk
After the installation is complete, we can create an OCR Client and set the AccessKeyId and AccessKeySecret:
<?php require_once __DIR__ . '/vendor/autoload.php'; use AlibabaCloudClientAlibabaCloud; use AlibabaCloudClientExceptionClientException; use AlibabaCloudClientExceptionServerException; use AlibabaCloudOcrOcr; // 设置AccessKeyId和AccessKeySecret AlibabaCloud::accessKeyClient('{AccessKeyId}', '{AccessKeySecret}') ->regionId('cn-hangzhou') ->name('default') ->timeout(20) ->connectTimeout(0) ->asGlobalClient(); // 创建OCR Client $client = new Ocr();
Next, we You can use OCR Client to call the OCR API. For example, the following sample code demonstrates how to use the OCR API to perform text recognition on a picture:
<?php try { $result = $client->v20191230()->recognizeBusinessCard() ->withImageUrl('https://example.com/image.jpg') ->request(); print_r($result->toArray()); } catch (ClientException $e) { echo $e->getErrorMessage() . PHP_EOL; } catch (ServerException $e) { echo $e->getErrorMessage() . PHP_EOL; }
The above code implements text recognition on a business card picture and prints out the recognition results.
- Example: Using Alibaba Cloud OCR to identify business license information
Next, we will use an example to demonstrate how to use Alibaba Cloud OCR to identify business license information. Suppose we have a business license picturebusiness_license.jpg
, from which we want to extract the company name, legal representative, registered capital and other information.
<?php try { $result = $client->v20191230()->recognizeBusinessLicense() ->withImageUrl('https://example.com/business_license.jpg') ->request(); $info = $result->toArray()['data']['config']['tables'][0]['rows']; $companyName = $info[0]['row'][1]['text']; $legalPerson = $info[6]['row'][1]['text']; $registeredCapital = $info[8]['row'][1]['text']; echo '公司名称:' . $companyName . PHP_EOL; echo '法定代表人:' . $legalPerson . PHP_EOL; echo '注册资本:' . $registeredCapital . PHP_EOL; } catch (ClientException $e) { echo $e->getErrorMessage() . PHP_EOL; } catch (ServerException $e) { echo $e->getErrorMessage() . PHP_EOL; }
The above code extracts the information from the business license image and prints it out by calling the recognizeBusinessLicense
interface.
- Summary
This article introduces how to use Alibaba Cloud OCR and PHP to develop text recognition functions, and gives a practical example. I hope this tutorial can help you better apply OCR technology in actual development. Of course, Alibaba Cloud OCR has many other functions and interfaces, which can be adjusted and expanded according to specific needs. For detailed API documentation and sample code, please refer to Alibaba Cloud official documentation. I wish you success!
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