通用文字识别

<?php

require_once 'curl.func.php';

$appkey = 'your_appkey_here';//你的appkey
$url = "https://api.jisuapi.com/generalrecognition/recognize?appkey=$appkey";

$post = [
    'type'=>'cnen',
    'pic'=>base64_encode(file_get_contents('sfz1.jpg'))
];
$result = curlOpen($url, ['post'=>$post, 'ssl'=>true]);
$jsonarr = json_decode($result, true);

if($jsonarr['status'] != 0)
{
    echo $jsonarr['msg'];
    exit();
}
$result = $jsonarr['result'];
foreach($result as $key=>$val)
{
    echo $key.' '.$val. '
';
}
                    

// 1. 前置依赖：确保已安装 axios（执行 npm install axios）
const fs = require('fs');
const path = require('path');
const axios = require('axios');

// 2. 读取图片文件并转换为 Base64（不带前缀）
let base64Data;

try {
  // 修改为你的图片路径
  const imagePath = path.join(__dirname, 'word.png');
  const imageBuffer = fs.readFileSync(imagePath);
  base64Data = imageBuffer.toString('base64'); // 正确赋值
} catch (err) {
  console.error('图片处理失败:', err.message);
  process.exit(1); // 直接退出进程（避免后续使用未定义的变量）
}

// 3. 配置请求参数
const appkey = 'your_appkey_here'; // 替换为你的真实 appkey
const apiUrl = `https://api.jisuapi.com/generalrecognition/recognize?appkey=${appkey}`;
const type = 'cnen';

// 4. 直接发送 POST 请求
axios.post(apiUrl, `pic=${encodeURIComponent(base64Data)}&type=${encodeURIComponent(type)}`, {
  headers: {
    'Content-Type': 'application/x-www-form-urlencoded' // 必须指定表单类型
  }
})
.then(response => {
  // 处理成功响应
  console.log('----------------------------------');
  console.log('HTTP 状态码:', response.status);
  
  // 业务逻辑判断（根据 API 文档调整）
  if (response.data.status === 0) {
    console.log('识别成功:');
    console.log('识别内容:');
    for (const [key, value] of Object.entries(response.data.result)) {
      console.log(value);
    }
  } else {
    console.log('识别失败:', response.data.msg);
  }
})
.catch(error => {
  // 统一错误处理
  console.error('请求失败!');
});
                    

import requests
import base64 

appkey = 'your_appkey_here'
url = f"https://api.jisuapi.com/generalrecognition/recognize?appkey={appkey}"
with open('sfz1.jpg', 'rb') as f:
    pic = f.read()   
    pic_base64 = base64.b64encode(pic).decode('utf-8')
post = {
    'type': 'cnen',
    'pic': pic_base64
}
response = requests.post(url, data=post)
jsonarr = response.json()

if jsonarr['status'] != 0:
    print(jsonarr['msg'])
    exit()
result = jsonarr['result']
for key, val in result.items():
    print(f"{key} {val}")