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HomeBackend DevelopmentPHP TutorialThe powerful combination of PHP and Alibaba Cloud OCR: creating the best text recognition application

The powerful combination of PHP and Alibaba Cloud OCR: creating the best text recognition application

With the rapid development of artificial intelligence, text recognition has become a very useful technology. Alibaba Cloud OCR (Optical Character Recognition) is a powerful text recognition tool that can help developers convert printed or handwritten text into editable and searchable text, providing convenience for various application scenarios. As a widely used server-side scripting language, PHP can be combined with Alibaba Cloud OCR to help us quickly develop and deploy text recognition applications.

Before we start, we need to create an OCR service on Alibaba Cloud and obtain the Access Key ID and Access Key Secret. Next, we can build a basic text recognition application through the following steps.

First of all, we need to introduce the dependency library of Alibaba Cloud SDK into the PHP project. We can manage dependencies through composer and execute the following command to install Alibaba Cloud's SDK:

composer require alibabacloud/client

After successful installation, we can use the following code in the project code to initialize the SDK.

<?php
use AlibabaCloudClientAlibabaCloud;
use AlibabaCloudClientExceptionClientException;
use AlibabaCloudClientExceptionServerException;

$config = [
    'access_key' => '<ACCESS KEY ID>',
    'access_secret' => '<ACCESS KEY SECRET>',
    'region_id' => 'cn-hangzhou',
    'endpoint' => 'ocr.cn-hangzhou.aliyuncs.com'
];

AlibabaCloud::accessKeyClient($config['access_key'], $config['access_secret'])
    ->regionId($config['region_id'])
    ->asGlobalClient();

try {
    $result = AlibabaCloud::ocr()
        ->v20150630()
        ->recognizeBusinessCard()
        ->connectTimeout(60)
        ->timeout(65)
        ->request();
    
    // 处理返回结果
    if(!empty($result['Cards']['Card'][0]['Name'])){
        echo '识别结果:' . $result['Cards']['Card'][0]['Name']['Value'];
    } else {
        echo '无法识别';
    }
} catch (ClientException $e) {
    echo $e->getErrorMessage() . PHP_EOL;
} catch (ServerException $e) {
    echo $e->getErrorMessage() . PHP_EOL;
}
?>

In the above code, we first introduce the necessary namespace. Next, we initialized the SDK by using the Access Key ID and Access Key Secret provided by Alibaba Cloud, and also specified the region and terminal node for interface access. In the try block, we called the recognizeBusinessCard() function to call the business card recognition function, and set the timeout through the connectTimeout() and timeout() functions .

Finally, we process the returned results. In this example, we tried to identify a business card and print the name on the card. If the recognition is successful, we will get a non-empty recognition result. And if the recognition fails, we will get an unrecognized prompt.

The above are the basic steps for building a text recognition application using Alibaba Cloud OCR and PHP. By using this powerful combination, we can quickly and accurately recognize text in a variety of application scenarios and provide users with a better experience.

Of course, Alibaba Cloud OCR is not limited to business card recognition, but also includes ID card recognition, bank card recognition, general text recognition and other functions. Developers can choose different API interfaces according to their own needs, and enrich and improve their applications through more code examples. I hope everyone can give full play to their imagination and creativity and use this powerful combination to create more interesting and practical text recognition applications.

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