How to use PHP and Alibaba Cloud OCR to extract text keywords?

王林
Release: 2023-07-17 12:26:01
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How to use PHP and Alibaba Cloud OCR to extract text keywords?

Introduction:
With the rapid development of the Internet, massive information needs to be extracted and organized quickly and effectively. For a large amount of text data, keyword extraction is a very important task, which can help us quickly understand the theme and content of the text. This article will introduce how to use PHP and Alibaba Cloud OCR service to extract text keywords, helping us improve the efficiency of text processing.

1. Register and activate the Alibaba Cloud OCR service
First, we need to register an account on the Alibaba Cloud official website and activate the OCR service. After activating the service, we will obtain an Access Key ID and Access Key Secret, which are the authentication information we need to call the Alibaba Cloud OCR interface.

2. Install and configure the PHP environment
We need to install PHP in the local development environment and configure the relevant dependencies. You can use the installer provided by PHP's official website to install PHP, and use command line tools or editors for editing and debugging.

3. Install Alibaba Cloud OCR SDK for PHP
Alibaba Cloud officially provides a set of PHP development toolkit to facilitate us to call the OCR interface. We can install Alibaba Cloud OCR SDK through Composer (a PHP package management tool).

  1. First, create a composer.json file in the project root directory with the following content:

    {
     "require": {
         "aliyuncs/oss-sdk-ocr-php": "*"
     }
    }
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  2. Then, execute the following in the command line Command, install Alibaba Cloud OCR SDK:

    composer install
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4. Call Alibaba Cloud OCR interface
Next, we can use the API provided by Alibaba Cloud OCR SDK to call the OCR interface to implement Text keyword extraction function. The following is a sample code:

<?php

require 'vendor/autoload.php';

use AliyunOSSOSSClient;
use AliyunOSSCoreOssException;
use AliyunOSSOcrOcrClient;
use AliyunOSSCoreAuth;
use AliyunOSSOcrModelsRecognizeBankCardRequest;

// 设置阿里云的Access Key信息
$accessKeyId = ''; // 在阿里云官网获取
$accessKeySecret = ''; // 在阿里云官网获取

// 设置OCR请求的相关参数
$endpoint = ''; // OCR服务的Endpoint,例如:oss-cn-shanghai.aliyuncs.com
$bucketName = ''; // 保存图片的Bucket名称
$imagePath = ''; // 图片路径

// 初始化OSSClient和OcrClient
$ossClient = new OSSClient($accessKeyId, $accessKeySecret, $endpoint);
$ocrClient = new OcrClient($accessKeyId, $accessKeySecret, $endpoint);

// 上传图片到OSS
try {
    $ossClient->uploadFile($bucketName, 'image.jpg', $imagePath);
} catch (OssException $e) {
    die("上传图片失败:" . $e->getMessage());
}

// 调用OCR接口识别关键词
try {
    $request = new RecognizeBankCardRequest();
    $request->setImageUrl('http://'.$bucketName.'.'.$endpoint.'/image.jpg');
    $response = $ocrClient->recognizeBankCard($request);
    $words = $response->getData()['words_result'];
    foreach ($words as $word) {
        echo $word['word'] . "
";
    }
} catch (Exception $e) {
    die("识别关键词失败:" . $e->getMessage());
}
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The above code example demonstrates how to upload a picture to Alibaba Cloud OSS and use the Alibaba Cloud OCR interface to identify keywords in the picture. You can customize the request parameters and processing logic according to your own needs.

5. Summary
This article introduces how to use PHP and Alibaba Cloud OCR service to extract text keywords. By registering for the Alibaba Cloud OCR service, installing and configuring the PHP environment, installing the Alibaba Cloud OCR SDK, and calling the Alibaba Cloud OCR interface, we can easily implement the text keyword extraction function. I hope this article will be helpful to you so that you can improve efficiency in the text processing process.

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