🪪 AI Job Description OCR and Information Extraction API 🆕

🪪 AI to extract structured data and JDs in PDF or image formats using OCR and Thai language model

This project also includes functionality to process Job Description (JD) documents (PDF, JPG, PNG). The iApp OCR service extracts raw text from the JD, and the OpenThaiGPT model is used to convert the extracted text into structured JSON data. The key details extracted include job title, company name, location, responsibilities, required qualifications, and AI-suggested skills necessary for the role. This data can be used to automate job matching, talent acquisition, or other HR-related tasks.

Try Demo

Example Images (Click to try)

API Key

Demo key is limited to 10 requests per day per IP
Click here to get your API key

Endpoint URL

cURL Command

Upload

How to get API Key?

Please visit API Portal to view your existing API key or request a new one.

Code Examples

JD Sample

Request:

    curl -X POST https://api.iapp.co.th/ocr/jd
        -H "apikey: YOUR_API_KEY"
        -F "file=@/path/to/sample_jd_2.png"

Response:

{
    "jobTitle": "หัวหน้าฝ่ายเทคโนโลยีสารสนเทศ (Head of Information Technology)",
    "companyName": null,
    "location": null,
    "salaryRange": null,
    "responsibilities": [
        "Supervise and control the work of subordinates for maximum efficiency.",
        "Oversee, research, and develop the organization's computer systems, including hardware, software, network systems, and other related information databases.",
        "Inspect and review the procurement of computers, peripherals, and all network equipment.",
        "Oversee and control the maintenance of computers, peripherals, and all network equipment.",
        "Oversee and control database backups and develop the organization's network system.",
        "Certify the ability of personnel to use computers and various systems.",
        "Prepare annual budgets and work plans.",
        "Monitor and develop assigned tasks for effectiveness.",
        "Perform other duties as assigned by superiors.",
        "Cooperate in company activities and systems."
    ],
    "qualifications": [
        "Bachelor's/Master's degree",
        "Major in Information Technology, Computer Engineering, or related fields",
        "At least 2 years of experience",
        "30 years old or older",
        "Highly responsible and able to control work",
        "Good knowledge of information technology"
    ],
    "possibleSkillAndQualificationsByAI": [
        "IT Management",
        "Hardware",
        "Software",
        "Network Administration",
        "Database Management",
        "System Administration",
        "Procurement",
        "Maintenance Management",
        "Data Backup and Recovery",
        "Training",
        "Budgeting",
        "Problem Solving",
        "Leadership",
        "Team Management",
        "Communication Skills"
    ]
}

Features

• Job Description Processing: Extracts key details from JDs, such as job title, company, location, responsibilities, qualifications, and AI-suggested required skills.
• Supported Formats: Accepts PDF, JPG, PNG, and JPEG files.

Code Examples

Python

import requests

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

payload = {}
files=[
  ('file',('sample_jd_2.png',open('sample_jd_2.png','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_jd_2.png"))

let config = {
    method: "post",
    maxBodyLength: Infinity,
    url: "https://api.iapp.co.th/ocr/jd",
    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/jd',
  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_jd_2.png')),
  CURLOPT_HTTPHEADER => array(
    'apikey: YOUR_API_KEY'
  ),
));

$response = curl_exec($curl);

curl_close($curl);
echo $response;

Swift

let parameters = [
  [
    "key": "file",
    "src": "sample_jd_2.png",
    "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/jd")!,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_jd_2.png",
    File("sample_jd_2.png").asRequestBody("application/octet-stream".toMediaType()))
  .build()
val request = Request.Builder()
  .url("https://api.iapp.co.th/ocr/jd")
  .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_jd_2.png",
    RequestBody.create(MediaType.parse("application/octet-stream"),
    new File("sample_jd_2.png")))
  .build();
Request request = new Request.Builder()
  .url("https://api.iapp.co.th/ocr/jd")
  .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/jd'));
request.files.add(await http.MultipartFile.fromPath('file', 'sample_jd_2.png'));
request.headers.addAll(headers);

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

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

Pricing

AI API Service Name	Endpoint	IC Per Page	On-Premise
AI Job Description OCR and Information Extraction API	iapp_jd_ocr	1 IC/Page	Contact