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Essential skills for PHP developers: Master the advanced usage of Alibaba Cloud OCR
Alibaba Cloud OCR (Optical Character Recognition) is a text recognition service based on artificial intelligence technology that can quickly convert text in pictures into Accurately converted into editable text content. For PHP developers, mastering the advanced usage of Alibaba Cloud OCR can help us better apply text recognition technology.
In this article, we will learn how to use PHP language and Alibaba Cloud OCR API for text recognition. First, we need to create an OCR service instance on Alibaba Cloud and obtain the corresponding Access Key and Access Secret.
1. Install Alibaba Cloud SDK
First, we need to install Alibaba Cloud SDK through Composer, open the terminal and execute the following command:
composer require alibabacloud/client@^1.2.0
2. Introduce Alibaba Cloud OCR SDK
Introduce Alibaba Cloud OCR SDK into the code. The code is as follows:
use AlibabaCloudClientAlibabaCloud; use AlibabaCloudClientExceptionClientException; use AlibabaCloudClientExceptionServerException; use AlibabaCloudClientResultResult; use AlibabaCloudOcrOcr;
3. Configure Access Key and Access Secret
Configure Access Key and Access Secret in the code. The code is as follows:
AlibabaCloud::accessKeyClient('<Access Key>', '<Access Secret>') ->regionId('cn-shanghai') ->asDefaultClient();
4. Call the text recognition interface
Next, we can call the text recognition interface of Alibaba Cloud OCR. The following is a sample code that can recognize text in a picture:
try { $result = Ocr::v20191230()->recognizeTable(array()) ->withImageUrl('https://www.example.com/image.jpg') // 替换成你的图片地址 ->withUseFinanceModel('false') // 是否使用财务票据模型,可选 ->request(); // 输出识别结果 echo $result['Data']['Texts']; } catch (ClientException $e) { echo $e->getErrorMessage(); } catch (ServerException $e) { echo $e->getErrorMessage(); }
5. Debugging and Optimization
In actual applications, we may need to debug and optimize the effect of text recognition. Alibaba Cloud OCR provides some parameters and options that can be adjusted to obtain better recognition results.
For example, we can use OCR's custom template function to define some specific recognition rules to improve the accuracy of text recognition.
$result = Ocr::v20191230()->recognizeTable(array()) ->withImageUrl('https://www.example.com/image.jpg') ->withUseFinanceModel('false') ->withCustomTemplateId('<Custom Template ID>') // 替换成你的自定义模板ID ->request();
In addition, Alibaba Cloud OCR also supports multiple functions such as handwriting recognition and ID card recognition. Developers can adjust and expand according to actual needs.
Summary:
It is very important for PHP developers to master the advanced usage of Alibaba Cloud OCR. This article introduces how to use PHP language and Alibaba Cloud OCR API for text recognition, and gives corresponding code examples. I hope this content can help PHP developers make better use of text recognition technology.
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