How to quickly extract text from PDF files using PHP and Alibaba Cloud OCR?

王林
Release: 2023-07-19 17:14:01
Original
1724 people have browsed it

How to quickly extract text from PDF files using PHP and Alibaba Cloud OCR?

Introduction:
With the advent of the digital age, more and more documents are saved in PDF format. In some scenarios, we need to extract text from PDF files for further processing and analysis, such as automated document processing, information extraction, etc. This article will introduce how to use PHP and Alibaba Cloud OCR service to quickly extract text from PDF files.

Step 1: Configure Alibaba Cloud OCR service
First, we need to register and activate the OCR service on Alibaba Cloud. Obtain the Access Key ID and Access Key Secret, and create an OCR application to generate a key under the application. This information will be used in subsequent code.

Step 2: Install and configure PHP-SDK
Alibaba Cloud provides a PHP version of the SDK. We can use composer to quickly install and configure the SDK. Execute the following command in the terminal:

composer require alibabacloud/ocr-sdk-php
Copy after login

After the installation is complete, add the following code to the project, introduce the SDK, and configure the Access Key ID and Access Key Secret:

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

AlibabaCloud::accessKeyClient('your-access-key-id', 'your-access-key-secret')
            ->regionId('cn-shanghai')
            ->asDefaultClient();
?>
Copy after login

Place the above code in " Replace "your-access-key-id" and "your-access-key-secret" with your actual information.

Step 3: Use the OCR service to extract PDF text
In the PHP script, we can use the "ocr_document_recognize" interface provided by Alibaba Cloud OCR to identify the PDF file and obtain the text in it.

The following is a sample code:

try {
    $result = AlibabaCloud::rpc()
              ->product('ocr')
              ->scheme('https')
              ->version('2019-12-30')
              ->action('ocr_document_recognize')
              ->method('POST')
              ->host('ocr.cn-shanghai.aliyuncs.com')
              ->options([
                'query' => [
                  'RegionId' => 'cn-shanghai',
                  'AccessKeyId' => 'your-access-key-id',
                  'AccessKeySecret' => 'your-access-key-secret',
                ],
              ])
              ->request();
    
    // 解析返回结果
    $text = '';
    foreach ($result['Data']['Regions'] as $region) {
        foreach ($region['Lines'] as $line) {
            $text .= $line['Text'] . "
";
        }
    }
    
    // 打印提取的文字
    echo $text;

} catch (ClientException $e) {
    echo $e->getErrorMessage() . PHP_EOL;
} catch (ServerException $e) {
    echo $e->getErrorMessage() . PHP_EOL;
}
Copy after login

Replace "your-access-key-id" and "your-access-key-secret" in the above code with your actual information.

Through the above steps, we can use PHP and Alibaba Cloud OCR service to quickly extract text from PDF files. You can further process and analyze the extracted text according to actual needs.

Summary:
This article introduces how to use PHP and Alibaba Cloud OCR service to quickly extract text from PDF files. By configuring the Alibaba Cloud OCR service and installing PHP-SDK, we can use the interface provided by Alibaba Cloud OCR to identify PDF files and extract text information in them. In this way, we can easily perform automated document processing and information extraction operations to improve work efficiency.

The above is the detailed content of How to quickly extract text from PDF files using PHP and Alibaba Cloud OCR?. For more information, please follow other related articles on the PHP Chinese website!

Related labels:
source:php.cn
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Popular Tutorials
More>
Latest Downloads
More>
Web Effects
Website Source Code
Website Materials
Front End Template