PHP practice: using Alibaba Cloud OCR to realize Chinese character recognition in web page screenshots

PHP Practical Combat: Using Alibaba Cloud OCR to realize Chinese character recognition in web page screenshots

With the development of the Internet, text information on web pages has become more and more abundant, but sometimes we need to extract it from web page screenshots Text information to achieve some automated operations or text analysis. This article will introduce how to use Alibaba Cloud OCR (Optical Character Recognition, optical character recognition) to realize text recognition in web page screenshots, and give corresponding PHP code examples.

1. Understanding Alibaba Cloud OCR Service

Alibaba Cloud OCR service is a cloud computing-based text recognition technology that can automatically recognize text in pictures and output the recognition results. Before using this service, we need to activate the OCR service in the Alibaba Cloud console and obtain the corresponding Access Key and Secret Key.

2. Obtain a screenshot of the webpage

Before performing text recognition, we need to obtain a screenshot of the webpage to be recognized. You can use the file_get_contents() function to get the HTML content of a web page, and then use the file_put_contents() function to save the content as an HTML file.

$html = file_get_contents('https://www.example.com');
file_put_contents('page.html', $html);

Then, we can use tools such as PhantomJS or Puppeteer to capture web pages. These tools simulate browser behavior and render web pages as images. Here, we take PhantomJS as an example and use the exec() function to execute the command line to take a screenshot:

exec('/path/to/phantomjs /path/to/rasterize.js page.html screenshot.png');

Note that the above /path/to/phantomjs and /path/to/rasterize.js need to be replaced with the corresponding path.

3. Call the Alibaba Cloud OCR interface

After obtaining the screenshot of the web page, we can call the Alibaba Cloud OCR interface for text recognition. First, we need to introduce the Alibaba Cloud SDK:

require_once '/path/to/autoload.php';

Then, use the DefaultAcsClient class to create an instance:

use DefaultAcsClient;
use DefaultProfile;
use RequestV20190115 as AcsRequest;

$accessKeyId = 'your-access-key-id';
$accessKeySecret = 'your-access-key-secret';
$regionId = 'cn-hangzhou';

$profile = DefaultProfile::getProfile($regionId, $accessKeyId, $accessKeySecret);
$client = new DefaultAcsClient($profile);

Next, we need to construct a request:

$request = new AcsRequestRecognizeBusinessCardRequest();
$request->setImageURL('https://www.example.com/screenshot.png');
$request->setOutputType('json');

Here, we use the RecognizeBusinessCardRequest interface and pass in the URL of the screenshot and the output type is JSON.

Finally, we send the request and process the return result:

$response = $client->doAction($request);

// 解析返回结果
$ocrResult = json_decode($response->getBody(), true);

// 输出识别结果
foreach ($ocrResult['data'] as $item) {
    echo $item['text'];
}

In the above code, $ocrResult is an array after parsing the returned JSON result, which can be traversed Array to obtain the recognized text information.

4. Complete sample code

doAction($request);

$ocrResult = json_decode($response->getBody(), true);

foreach ($ocrResult['data'] as $item) {
    echo $item['text'];
}

5. Summary

Using Alibaba Cloud OCR service, we can easily realize text recognition in web page screenshots. Through the above PHP code example, we can convert web page screenshots into text information, which provides a basis for subsequent operations and analysis. Of course, specific application scenarios need to be adjusted and expanded based on actual needs. I hope this article will be helpful to you in using Alibaba Cloud OCR service.

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