📸 Image Background Remover

📸 AI ลบพื้นหลังสำหรับตกแต่งรูปติดบัตร (ตัดหัวใส่เสื้อ)

Image Background Remover is an AI service for removing backgrounds from any kind of photos, selfie photos, particularly useful for ID photos and head-shot replacements.

Try Demo

Visit our API Portal to test the Image Background Remover API with your own images.

Getting Started

1. Prerequisites

   • An API key from iApp Technology
   • Any kind of photos, selfie photos, particularly useful for ID photos
   • Supported file formats: JPEG, JPG, PNG
   • Maximum file size: 2MB

2. Quick Start

   • Fast processing
   • High accuracy

3. Key Features

   • Remove backgrounds from selfie photos
   • Useful for ID photos and head-shot replacements
   • Rotate into landscape mode
   • Useful for easier mobile application implementation.

4. Security & Compliance

   • GDPR and PDPA compliant
   • No data retention after processing

How to get API Key?

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

Example

Request

curl --location 'https://api.iapp.co.th/face-extractor/predict/file' \
--header 'apikey: {YOUR API KEY}' \
--form 'file=@"/Users/iapp/Downloads/2 (3).png"' \
--form 'rotateIfPortiat="True"'

API Reference

Endpoint

POST https://api.iapp.co.th/face-extractor/predict/file

Headers

Name	Type	Description
apikey	String	iApp AI's API Key

Request Body

Name	Type	Description
rotateIfPortiat	Boolean	if this parameter is set as "true" and the image is portrait, the output will be rotated into landscape mode. Useful for easier mobile application implementation.
file	file	.PNG or .JPEG or .JPG image file

Code Example

Python

import requests

url = "https://api.iapp.co.th/face-extractor/predict/file"

payload = {}
files=[
  ('file',('{YOUR UPLOADED FILE NAME}',open('{YOUR UPLOADED FILE PATH}','rb'),'image/png'))
]
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('{YOUR UPLOADED FILE PATH}'));

let config = {
  method: 'post',
  maxBodyLength: Infinity,
  url: 'https://api.iapp.co.th/face-extractor/predict/file',
  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/face-extractor/predict/file',
  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('{YOUR UPLOADED FILE PATH}')),
  CURLOPT_HTTPHEADER => array(
    'apikey: {YOUR_API_KEY}'
  ),
));

$response = curl_exec($curl);

curl_close($curl);
echo $response;

Swift

let parameters = [
  [
    "key": "file",
    "src": "{YOUR UPLOADED FILE PATH}",
    "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/face-extractor/predict/file")!,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","{YOUR UPLOADED FILE NAME}",
    File("{YOUR UPLOADED FILE PATH}").asRequestBody("application/octet-stream".toMediaType()))
  .build()
val request = Request.Builder()
  .url("https://api.iapp.co.th/face-extractor/predict/file")
  .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","{YOUR UPLOADED FILE NAME}",
    RequestBody.create(MediaType.parse("application/octet-stream"),
    new File("{YOUR UPLOADED FILE PATH}")))
  .build();
Request request = new Request.Builder()
  .url("https://api.iapp.co.th/face-extractor/predict/file")
  .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/face-extractor/predict/file'));
request.files.add(await http.MultipartFile.fromPath('file', '{YOUR UPLOADED FILE PATH}'));
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 Minute	On-Premise
TRemove Background AI on Selfie Photo for Photo ID	remove_background_v1	1 IC/Minute	Contact