🪪 AI CV 和信息提取 API

1 IC每页

✅ 活跃📄 OCR

本项目提供了一个 FastAPI 应用程序，用于处理简历（CV）文档（PDF、JPG、PNG）。它使用 iApp OCR 服务从简历中提取原始文本，然后利用 OpenThaiGPT 模型将文本解析为结构化的 JSON 数据。结构化数据包括个人详细信息、教育背景、工作经验、技能以及 AI 建议的潜在技能，可用于进一步的分析或招聘目的。

试用演示

Example Images (Click to try)

API Key

Endpoint URL

cURL Command

上传

如何获取 API 密钥？

请访问 API 密钥管理页面查看您现有的 API 密钥或申请新密钥。

API 端点

端点	方法	描述	费用
`/v3/store/ocr/curriculum-vitae` /ocr/cv, /ocr/cv-port	POST	从简历中提取结构化数据	每页 1 IC

代码示例

简历样本

CV Example

请求:

    curl -X POST https://api.iapp.co.th/ocr/cv
        -H "apikey: YOUR_API_KEY"
        -F "file=@/path/to/sample_cv_2.jpg"

响应:

{
    "personalInformation": {
        "name": "นางสาวอุไรวรรณ เจียมบุญศรี",
        "address": "317 ถ.นครวรรค์ แขวงวัดโสมนัส เขตป้อมปราศัตรูพ่าย กทม. 10100",
        "phoneNumbers": ["082-996-5168"],
        "email": "uraiwan91790@gmail.com",
        "religion": "พุทธ",
        "nationality": "ไทย",
        "age": "43"
    },
    "education": [
        {
            "school": "โรงเรียนราชวินิต มัธยม",
            "level": "มัธยมศึกษาปีที่ 6",
            "year": "2538-2540"
        }
    ],
    "workExperience": [
        {
            "title": "Recruitment officer",
            "company": "Apex medical center",
            "startDate": "May 2022",
            "endDate": "December 2022",
            "roles": ["สรรหาพนักงานตำแหน่ง consultant, beauty therapist, nurse"]
        },
        {
            "title": "Recruitment officer",
            "company": "GMI Market",
            "startDate": "April 2022",
            "endDate": "June 2022",
            "roles": ["สรรหาบุคลากร ตำแหน่ง sale เกี่ยวกับการเทรดเดอร์"]
        },
        {
            "title": "Senior recruitment",
            "company": "บริษัท รักษาความปลอดภัย RGH",
            "startDate": "January 2022",
            "endDate": "March 2022",
            "roles": ["สรรหาพนักงานตำแหน่ง รปภ.,แม่บ้าน"]
        }
    ],
    "skillsAndQualifications": {
        "languages": {
            "english": "พูด เขียน สื่อสาร ภาษาอังกฤษได้เป็นอย่างดี"
        },
        "computerSkills": ["สามารถใช้โปรแกนมคอมพิวเตอร์"],
        "communicationSkills": []
    },
    "possibleSkillAndQualificationsByAI": [
        "Recruiting",
        "Applicant Tracking Systems (ATS)",
        "Interviewing",
        "Talent Acquisition",
        "Onboarding",
        "HRIS",
        "Performance Management",
        "Employee Relations",
        "Sales",
        "Trading",
        "Security",
        "Customer Service",
        "Teamwork",
        "Communication"
    ],
    "additionalInformation": {
        "customerServiceSkills": null,
        "assessment": null
    }
}

功能

简历处理： 从简历中提取结构化信息，包括个人详细信息、教育、工作经验、技能以及 AI 建议的潜在技能。
支持的格式： 支持 PDF、JPG、PNG 和 JPEG 文件。

代码示例

Curl

curl -X POST https://api.iapp.co.th/v3/store/ocr/curriculum-vitae \
    -H "apikey: YOUR_API_KEY" \
    -F "file=@/path/to/file.jpg"

Python

import requests

url = "https://api.iapp.co.th/ocr/cv"

payload = {}
files=[
  ('file',('sample_cv_2.jpg',open('sample_cv_2.jpg','rb'),'application/pdf'))
]
headers = {"apikey": "YOUR_API_KEY"}

response = requests.request("POST", url, headers=headers, data=payload, files=files)

print(response.text)

JavaScript

const axios = require("axios")
const FormData = require("form-data")
const fs = require("fs")

let data = new FormData()
data.append("file", fs.createReadStream("sample_cv_2.jpg"))

let config = {
    method: "post",
    maxBodyLength: Infinity,
    url: "https://api.iapp.co.th/ocr/cv",
    headers: {
        apikey: "YOUR_API_KEY",
        ...data.getHeaders(),
    },
    data: data,
}

axios
    .request(config)
    .then((response) => {
        console.log(JSON.stringify(response.data))
    })
    .catch((error) => {
        console.log(error)
    })

PHP

<?php

$curl = curl_init();

curl_setopt_array($curl, array(
  CURLOPT_URL => 'https://api.iapp.co.th/ocr/cv',
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => '',
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 0,
  CURLOPT_FOLLOWLOCATION => true,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => 'POST',
  CURLOPT_POSTFIELDS => array('file'=> new CURLFILE('sample_cv_2.jpg')),
  CURLOPT_HTTPHEADER => array(
    'apikey: YOUR_API_KEY'
  ),
));

$response = curl_exec($curl);

curl_close($curl);
echo $response;

Swift

let parameters = [
  [
    "key": "file",
    "src": "sample_cv_2.jpg",
    "type": "file"
  ]] as [[String: Any]]

let boundary = "Boundary-\(UUID().uuidString)"
var body = Data()
var error: Error? = nil
for param in parameters {
  if param["disabled"] != nil { continue }
  let paramName = param["key"]!
  body += Data("--\(boundary)\r\n".utf8)
  body += Data("Content-Disposition:form-data; name=\"\(paramName)\"".utf8)
  if param["contentType"] != nil {
    body += Data("\r\nContent-Type: \(param["contentType"] as! String)".utf8)
  }
  let paramType = param["type"] as! String
  if paramType == "text" {
    let paramValue = param["value"] as! String
    body += Data("\r\n\r\n\(paramValue)\r\n".utf8)
  } else {
    let paramSrc = param["src"] as! String
    let fileURL = URL(fileURLWithPath: paramSrc)
    if let fileContent = try? Data(contentsOf: fileURL) {
      body += Data("; filename=\"\(paramSrc)\"\r\n".utf8)
      body += Data("Content-Type: \"content-type header\"\r\n".utf8)
      body += Data("\r\n".utf8)
      body += fileContent
      body += Data("\r\n".utf8)
    }
  }
}
body += Data("--\(boundary)--\r\n".utf8);
let postData = body


var request = URLRequest(url: URL(string: "https://api.iapp.co.th/ocr/cv")!,timeoutInterval: Double.infinity)
request.addValue("YOUR_API_KEY", forHTTPHeaderField: "apikey")
request.addValue("multipart/form-data; boundary=\(boundary)", forHTTPHeaderField: "Content-Type")

request.httpMethod = "POST"
request.httpBody = postData

let task = URLSession.shared.dataTask(with: request) { data, response, error in
  guard let data = data else {
    print(String(describing: error))
    return
  }
  print(String(data: data, encoding: .utf8)!)
}

task.resume()

Kotlin

val client = OkHttpClient()
val mediaType = "text/plain".toMediaType()
val body = MultipartBody.Builder().setType(MultipartBody.FORM)
  .addFormDataPart("file","sample_cv_2.jpg",
    File("sample_cv_2.jpg").asRequestBody("application/octet-stream".toMediaType()))
  .build()
val request = Request.Builder()
  .url("https://api.iapp.co.th/ocr/cv")
  .post(body)
  .addHeader("apikey", "YOUR_API_KEY")
  .build()
val response = client.newCall(request).execute()

Java

OkHttpClient client = new OkHttpClient().newBuilder()
  .build();
MediaType mediaType = MediaType.parse("text/plain");
RequestBody body = new MultipartBody.Builder().setType(MultipartBody.FORM)
  .addFormDataPart("file","sample_cv_2.jpg",
    RequestBody.create(MediaType.parse("application/octet-stream"),
    new File("sample_cv_2.jpg")))
  .build();
Request request = new Request.Builder()
  .url("https://api.iapp.co.th/ocr/cv")
  .method("POST", body)
  .addHeader("apikey", "YOUR_API_KEY")
  .build();
Response response = client.newCall(request).execute();

Dart

var headers = {
  'apikey': 'YOUR_API_KEY'
};
var request = http.MultipartRequest('POST', Uri.parse('https://api.iapp.co.th/ocr/cv'));
request.files.add(await http.MultipartFile.fromPath('file', 'sample_cv_2.jpg'));
request.headers.addAll(headers);

http.StreamedResponse response = await request.send();

if (response.statusCode == 200) {
  print(await response.stream.bytesToString());
}
else {
  print(response.reasonPhrase);
}

定价

AI API 服务名称	端点	每页 IC	本地部署
AI CV OCR 和信息提取 API	iapp_cv_ocr	1 IC/页	联系我们

🪪 AI CV 和信息提取 API

试用演示

Example Images (Click to try)

API 端点

代码示例

简历样本

请求:

响应:

功能

代码示例

Curl

Python

JavaScript

PHP

Swift

Kotlin

Java

Dart

定价

ChindaX

Speechflow

试用演示​

Example Images (Click to try)

API 端点​

代码示例​

简历样本​

请求:​

响应:​

功能​

代码示例​

Curl​

Python​

JavaScript​

PHP​

Swift​

Kotlin​

Java​

Dart​

定价​

试用演示

API 端点

代码示例

简历样本

请求:

响应:

功能

代码示例

Curl

Python

JavaScript

PHP

Swift

Kotlin

Java

Dart

定价