Simple tutorial: How to connect PHP to Baidu form text recognition interface?

Simple tutorial: How to connect PHP to Baidu form text recognition interface?

Introduction:
In the digital age, the ability to obtain information is crucial for both individuals and enterprises. However, a large amount of manual input work consumes a lot of time and manpower, so automated text recognition technology is becoming more and more important. Baidu form text recognition interface provides an intelligent method to automatically extract text information in forms. This tutorial will introduce you how to use PHP language to connect to this interface to realize the text recognition function.

Step one: Apply for a Baidu Smart Cloud account and form text recognition interface
Before you start, you need to apply for a Baidu Smart Cloud account and activate the form text recognition service. You can log in to the official Baidu Smart Cloud website and follow the instructions to complete account registration and service purchase.

Step 2: Obtain Baidu developer account, API Key, Secret Key
After completing account registration and purchasing services, you need to create a Baidu developer account and create an application in the developer console . During the process of creating an application, you will get an API Key and a Secret Key. These two keys will be used to connect to the Baidu form text recognition interface.

Step 3: Write PHP code docking interface
In the PHP code, you need to use the cURL library to send HTTP requests to the Baidu form text recognition interface, and parse the results returned by the interface. The following is a simple PHP code example:

<?php
  // 设置接口请求的URL
  $url = 'https://aip.baidubce.com/rest/2.0/solution/v1/form_ocr/request';

  // 设置请求头部信息
  $headers = array(
    'Content-Type: application/json',
  );

  // 设置接口请求参数
  $params = array(
    'image' => base64_encode(file_get_contents('your_image.jpg')),
    'is_sync' => 'true',
    'request_type' => 'excel',
  );

  // 设置百度开发者账号和API Key、Secret Key
  $client_id = 'your_api_key';
  $client_secret = 'your_secret_key';

  // 拼接access_token的请求URL
  $token_url = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id='.$client_id.'&client_secret='.$client_secret;

  // 获取access_token
  $access_token = json_decode(file_get_contents($token_url))->access_token;

  // 设置access_token的请求头部信息
  array_push($headers, 'Authorization: Bearer '.$access_token);

  // 发送HTTP请求
  $ch = curl_init();
  curl_setopt($ch, CURLOPT_URL, $url);
  curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
  curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
  curl_setopt($ch, CURLOPT_POST, 1);
  curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($params));
  $result = curl_exec($ch);
  curl_close($ch);

  // 解析接口返回结果
  $result_json = json_decode($result);
  if ($result_json->error_code == 0) {
    // 请求成功
    $result_data = $result_json->result_data;
    // 处理返回结果
    // ...
  } else {
    // 请求失败
    echo '请求失败：'.$result_json->error_msg;
  }
?>

Step 4: Parse the interface return result
In the sample code, you can get the result returned by the interface through the $result_data variable data. You can process the returned results according to your needs, such as saving to database, exporting to Excel file, etc.

Conclusion:
This tutorial briefly introduces how to use PHP to connect to Baidu form text recognition interface. I hope that through this simple tutorial, you can quickly get started and implement the text recognition function. If you have further needs for more advanced functions, it is recommended that you refer to Baidu Smart Cloud's documentation and API interface documentation to learn more about interface parameters and usage methods.

Reference link:
[Baidu Intelligent Cloud Official Website](https://cloud.baidu.com/)
[Baidu AI Open Platform-Table Text Recognition Interface](https://ai .baidu.com/tech/ocr_table)

The above is the detailed content of Simple tutorial: How to connect PHP to Baidu form text recognition interface?. For more information, please follow other related articles on the PHP Chinese website!