PHP introductory tutorial: Master the basic usage of Alibaba Cloud OCR

PHP introductory tutorial: Master the basic usage of Alibaba Cloud OCR

Introduction:
With the rapid development of artificial intelligence technology, OCR (Optical Character Recognition) optical character recognition is becoming more and more mature. In practical applications, we often need to recognize and extract text from images. Alibaba Cloud OCR is a powerful OCR recognition service that can assist us in completing this task. This article will introduce you to how to use the PHP programming language combined with Alibaba Cloud OCR to complete the basic usage of image text recognition.

1. Create an Alibaba Cloud account
First, we need to register an account on the Alibaba Cloud official website (https://www.aliyun.com/) and activate the OCR service. Enter the Alibaba Cloud console, select "Artificial Intelligence"-"OCR", and follow the instructions to activate the OCR service. Get the Access Key and Secret Key, which will be used in subsequent code.

2. Install Alibaba Cloud SDK
We can install Alibaba Cloud SDK through the Composer tool. Create a file named "composer.json" in the project root directory and add the following content in it:

{
"require": {

"aliyun/aliyun-oss-php-sdk": "~2.3"

}
}

Then run the "composer install" command in the command line, and Composer will automatically install the Alibaba Cloud SDK.

3. Writing Code Example
Below we will write a simple example code to demonstrate how to use Alibaba Cloud OCR. First, create a file named "aliyun_ocr_demo.php" in the project and add the following code in it:

999cc6a8d017c571b7c8016834c1e636';
$accessKeySecret = '418123f6354737b4e301564480253c03';

try {

AlibabaCloud::accessKeyClient($accessKeyId, $accessKeySecret)
    ->regionId('cn-shanghai')
    ->asDefaultClient();

$result = Ocr::v20191230()->recognizeVehicleLicense()
    ->contentType('img')
    ->imageURL('https://img.example.com/image.jpg')
    ->theme('auto')
    ->shouldPrintResult(true)
    ->paramType(ParamType::MULTI_FORM)
    ->request();

print_r($result->toArray());

} catch (ClientException $e) {

echo $e->getErrorMessage() . PHP_EOL;

} catch (ServerException $e) {

echo $e->getErrorMessage() . PHP_EOL;

}

?>

Replacement "6abe7cf3cb1110006b4ff2f1728172bc" and "418123f6354737b4e301564480253c03" are your Access Key and Secret Key. In the code, we use the "recognizeVehicleLicense()" method to recognize a license plate image. You can choose other identification methods according to actual needs. For specific methods and parameters, please refer to the Alibaba Cloud OCR documentation.

4. Run the code
Run the "php aliyun_ocr_demo.php" command on the command line, and you will see the output of the image text recognition results.

Summary:
Through this tutorial, we learned how to use the PHP programming language combined with Alibaba Cloud OCR to achieve the basic usage of image text recognition. Of course, this is just an example, Alibaba Cloud OCR has more functions and recognition types that we can use. I hope this tutorial can help readers quickly get started with Alibaba Cloud OCR and can be used flexibly in actual development.

The above is the detailed content of PHP introductory tutorial: Master the basic usage of Alibaba Cloud OCR. For more information, please follow other related articles on the PHP Chinese website!