Facial Landmarks API

Facial Landmarks

curl --request POST \
  --url https://www.ailabapi.com/api/portrait/analysis/face-key-points \
  --header 'Content-Type: multipart/form-data' \
  --header 'ailabapi-api-key: <api-key>' \
  --form image='@example-file' \
  --form 'max_face_num=<string>' \
  --form 'face_field=<string>'

import requests

url = "https://www.ailabapi.com/api/portrait/analysis/face-key-points"

files = { "image": ("example-file", open("example-file", "rb")) }
payload = {
    "max_face_num": "<string>",
    "face_field": "<string>"
}
headers = {"ailabapi-api-key": "<api-key>"}

response = requests.post(url, data=payload, files=files, headers=headers)

print(response.text)

const form = new FormData();
form.append('image', '<string>');
form.append('max_face_num', '<string>');
form.append('face_field', '<string>');

const options = {method: 'POST', headers: {'ailabapi-api-key': '<api-key>'}};

options.body = form;

fetch('https://www.ailabapi.com/api/portrait/analysis/face-key-points', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://www.ailabapi.com/api/portrait/analysis/face-key-points",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"max_face_num\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"face_field\"\r\n\r\n<string>\r\n-----011000010111000001101001--",
  CURLOPT_HTTPHEADER => [
    "Content-Type: multipart/form-data",
    "ailabapi-api-key: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://www.ailabapi.com/api/portrait/analysis/face-key-points"

	payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"max_face_num\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"face_field\"\r\n\r\n<string>\r\n-----011000010111000001101001--")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("ailabapi-api-key", "<api-key>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://www.ailabapi.com/api/portrait/analysis/face-key-points")
  .header("ailabapi-api-key", "<api-key>")
  .body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"max_face_num\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"face_field\"\r\n\r\n<string>\r\n-----011000010111000001101001--")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://www.ailabapi.com/api/portrait/analysis/face-key-points")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["ailabapi-api-key"] = '<api-key>'
request.body = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"max_face_num\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"face_field\"\r\n\r\n<string>\r\n-----011000010111000001101001--"

response = http.request(request)
puts response.read_body

{
  "request_id": "",
  "log_id": "",
  "error_detail": {
    "code": "",
    "code_message": "",
    "message": ""
  },
  "result": {
    "face_num": "",
    "face_list": [
      {
        "face_token": "",
        "location": {
          "left": 0,
          "top": 0,
          "width": 0,
          "height": 0,
          "rotation": 0
        }
      }
    ],
    "face_probability": 0,
    "angle": [
      {
        "yaw": 0,
        "pitch": 0,
        "roll": 0
      }
    ],
    "age": 0,
    "gender": [
      {
        "type": "",
        "probability": 0
      }
    ],
    "landmark4": [
      {
        "x": 148.37,
        "y": 100.59
      },
      {
        "x": 234.82,
        "y": 90.52
      },
      {
        "x": 199.34,
        "y": 135.81
      },
      {
        "x": 203.17,
        "y": 179.29
      }
    ]
  }
}

POST

api

portrait

analysis

face-key-points

Facial Landmarks

curl --request POST \
  --url https://www.ailabapi.com/api/portrait/analysis/face-key-points \
  --header 'Content-Type: multipart/form-data' \
  --header 'ailabapi-api-key: <api-key>' \
  --form image='@example-file' \
  --form 'max_face_num=<string>' \
  --form 'face_field=<string>'

import requests

url = "https://www.ailabapi.com/api/portrait/analysis/face-key-points"

files = { "image": ("example-file", open("example-file", "rb")) }
payload = {
    "max_face_num": "<string>",
    "face_field": "<string>"
}
headers = {"ailabapi-api-key": "<api-key>"}

response = requests.post(url, data=payload, files=files, headers=headers)

print(response.text)

const form = new FormData();
form.append('image', '<string>');
form.append('max_face_num', '<string>');
form.append('face_field', '<string>');

const options = {method: 'POST', headers: {'ailabapi-api-key': '<api-key>'}};

options.body = form;

fetch('https://www.ailabapi.com/api/portrait/analysis/face-key-points', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://www.ailabapi.com/api/portrait/analysis/face-key-points",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"max_face_num\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"face_field\"\r\n\r\n<string>\r\n-----011000010111000001101001--",
  CURLOPT_HTTPHEADER => [
    "Content-Type: multipart/form-data",
    "ailabapi-api-key: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://www.ailabapi.com/api/portrait/analysis/face-key-points"

	payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"max_face_num\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"face_field\"\r\n\r\n<string>\r\n-----011000010111000001101001--")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("ailabapi-api-key", "<api-key>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://www.ailabapi.com/api/portrait/analysis/face-key-points")
  .header("ailabapi-api-key", "<api-key>")
  .body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"max_face_num\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"face_field\"\r\n\r\n<string>\r\n-----011000010111000001101001--")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://www.ailabapi.com/api/portrait/analysis/face-key-points")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["ailabapi-api-key"] = '<api-key>'
request.body = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"max_face_num\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"face_field\"\r\n\r\n<string>\r\n-----011000010111000001101001--"

response = http.request(request)
puts response.read_body

{
  "request_id": "",
  "log_id": "",
  "error_detail": {
    "code": "",
    "code_message": "",
    "message": ""
  },
  "result": {
    "face_num": "",
    "face_list": [
      {
        "face_token": "",
        "location": {
          "left": 0,
          "top": 0,
          "width": 0,
          "height": 0,
          "rotation": 0
        }
      }
    ],
    "face_probability": 0,
    "angle": [
      {
        "yaw": 0,
        "pitch": 0,
        "roll": 0
      }
    ],
    "age": 0,
    "gender": [
      {
        "type": "",
        "probability": 0
      }
    ],
    "landmark4": [
      {
        "x": 148.37,
        "y": 100.59
      },
      {
        "x": 234.82,
        "y": 90.52
      },
      {
        "x": 199.34,
        "y": 135.81
      },
      {
        "x": 203.17,
        "y": 179.29
      }
    ]
  }
}

Request

URL: https://www.ailabapi.com/api/portrait/analysis/face-key-points
Method: POST
Content-Type: multipart/form-data

Image requirements

Image format: JPEG JPG BMP PNG
Image size: No more than 8 MB.
Image resolution: Less than 1920x1080px.

Headers

Field	Required	Type	Description
`ailabapi-api-key`	YES	`string`	Application API KEY. Get API KEY

Body

Field	Required	Type	Scope	Default	Example	Description
`image`	YES	`file`
`max_face_num`	NO	`integer`	`1`, `2`, `3`, `4`, `5`, `6`, `7`, `8`, `9`, `10`	`1`		The maximum number of faces to process. The default value is `1` (only the face with the largest area in the image is detected).
`face_field`	NO	`string`	`age`, `gender`, `landmark4`, `landmark72`, `landmark150`, `landmark201`		`age,gender,landmark4`	age`: Age information.`, gender`: Gender information.`, landmark4`: 4 feature points.`, landmark72`: 72 feature points.`, landmark150`: 150 feature points.`, landmark201`: 201 feature points.`

Response

Response Field Handling Flow

Handle Public Response Fields Parse and validate the Public Response Fields, checking the status code or response message to ensure the request is successful and error-free.
Handle Business Response Fields If the Public Response Fields are valid and error-free, proceed with processing the business logic in the Business Response Fields.

Public Response Fields

Viewing Public Response Fields and Error Codes

Business Response Fields

Field	Type	Scope	Description
`result`	`object`		The content of the result data returned.
+`face_num`	`integer`		The number of faces in the picture.
+`face_list`	`array`		List of face information.
++`face_token`	`string`		Face Token.
++`location`	`object`		The position of the face in the picture.
+++`left`	`float`		The distance of the face area from the left border.
+++`top`	`float`		The distance of the face area from the upper boundary.
+++`width`	`float`		The width of the face area.
+++`height`	`float`		The height of the face area.
+++`rotation`	`integer`	[-180, 180]	The clockwise rotation angle of the face frame with respect to the vertical direction.
++`face_probability`	`float`	[0, 1]	Face confidence.
++`angle`	`object`		Face rotation parameters, refer to Face Spatial Pose Angle Reference for detailed description.
+++`yaw`	`float`	[-90, 90]	The left and right rotation angle of 3D rotation.
+++`pitch`	`float`	[-90, 90]	Three-dimensional rotation of the pitch angle.
+++`roll`	`float`	[-180, 180]	In-plane rotation angle.
++`age`	`float`		Age.
++`gender`	`object`		Gender information.
+++`type`	`string`	`male`, `female`
+++`probability`	`float`	[0, 1]	Gender confidence.
++`landmark4`	`array`		4 feature points.
++`landmark72`	`array`		72 feature points. Refer to 72 feature points for details.
++`landmark150`	`object`		150 feature points. Refer to 150 feature points for details.
++`landmark201`	`object`		201 feature points. Refer to 201 feature points for details.

Response Example

Show JSON

{
  "request_id":     "",
  "log_id":         "",
  "error_code":     0,
  "error_msg":      "",
  "error_detail":   {
    "status_code":  200,
    "code":         "",
    "code_message": "",
    "message":      ""
  },
  "result": {
    "face_num": "",
    "face_list": [
      {
        "face_token": "",
        "location": {
          "left": 0,
          "top": 0,
          "width": 0,
          "height": 0,
          "rotation": 0
        }
      }
    ],
    "face_probability": 0,
    "angle": [
      {
        "yaw": 0,
        "pitch": 0,
        "roll": 0
      }
    ],
    "age": 0,
    "gender": [
      {
        "type": "",
        "probability": 0
      }
    ],
    "landmark4": [],
    "landmark72": [],
    "landmark150": {},
    "landmark201": {}
  }
}

Show landmark4

[
  {
    "x": 148.37,
    "y": 100.59
  },
  {
    "x": 234.82,
    "y": 90.52
  },
  {
    "x": 199.34,
    "y": 135.81
  },
  {
    "x": 203.17,
    "y": 179.29
  }
]

Show landmark72

[
  {
    "x": 100.08,
    "y": 122.9
  },
  {
    "x": 106.77,
    "y": 149.07
  },
  {
    "x": 115.46,
    "y": 174.85
  },
  {
    "x": 127.3,
    "y": 199.99
  },
  {
    "x": 151.98,
    "y": 222.51
  },
  {
    "x": 181.8,
    "y": 235.05
  },
  {
    "x": 209.56,
    "y": 236.15
  },
  {
    "x": 235.09,
    "y": 227.11
  },
  {
    "x": 259.5,
    "y": 205.96
  },
  {
    "x": 274.62,
    "y": 178.35
  },
  {
    "x": 279.28,
    "y": 151.9
  },
  {
    "x": 280.94,
    "y": 125.59
  },
  {
    "x": 280.4,
    "y": 99.89
  },
  {
    "x": 128.11,
    "y": 106.45
  },
  {
    "x": 136.37,
    "y": 97.92
  },
  {
    "x": 146.18,
    "y": 94.09
  },
  {
    "x": 156.75,
    "y": 95.54
  },
  {
    "x": 167.29,
    "y": 102.81
  },
  {
    "x": 157.75,
    "y": 105.5
  },
  {
    "x": 147.51,
    "y": 107.65
  },
  {
    "x": 137.1,
    "y": 108.02
  },
  {
    "x": 148.37,
    "y": 100.59
  },
  {
    "x": 111.06,
    "y": 88.35
  },
  {
    "x": 120.9,
    "y": 71.46
  },
  {
    "x": 136.29,
    "y": 64.57
  },
  {
    "x": 152.5,
    "y": 62.86
  },
  {
    "x": 168.22,
    "y": 70.9
  },
  {
    "x": 153.23,
    "y": 72.9
  },
  {
    "x": 137.92,
    "y": 74.23
  },
  {
    "x": 123.75,
    "y": 79.02
  },
  {
    "x": 217.95,
    "y": 97.14
  },
  {
    "x": 226.23,
    "y": 87.37
  },
  {
    "x": 236.37,
    "y": 83.63
  },
  {
    "x": 246.55,
    "y": 84.88
  },
  {
    "x": 256.18,
    "y": 91.67
  },
  {
    "x": 248.15,
    "y": 95.06
  },
  {
    "x": 238.3,
    "y": 97.02
  },
  {
    "x": 227.85,
    "y": 97.26
  },
  {
    "x": 234.82,
    "y": 90.52
  },
  {
    "x": 210.71,
    "y": 65.97
  },
  {
    "x": 223.61,
    "y": 54.58
  },
  {
    "x": 238.8,
    "y": 52.63
  },
  {
    "x": 254.62,
    "y": 55.99
  },
  {
    "x": 266.84,
    "y": 69.55
  },
  {
    "x": 253.78,
    "y": 63.55
  },
  {
    "x": 239.71,
    "y": 62.6
  },
  {
    "x": 225.24,
    "y": 64.54
  },
  {
    "x": 181.11,
    "y": 101.65
  },
  {
    "x": 179.98,
    "y": 117.06
  },
  {
    "x": 178.41,
    "y": 132.61
  },
  {
    "x": 174.58,
    "y": 150.84
  },
  {
    "x": 187.7,
    "y": 148.58
  },
  {
    "x": 212.42,
    "y": 145.66
  },
  {
    "x": 223.67,
    "y": 144.55
  },
  {
    "x": 215.58,
    "y": 127.75
  },
  {
    "x": 210.32,
    "y": 113.35
  },
  {
    "x": 205.05,
    "y": 98.7
  },
  {
    "x": 199.34,
    "y": 135.81
  },
  {
    "x": 164.93,
    "y": 181.13
  },
  {
    "x": 183.01,
    "y": 172.43
  },
  {
    "x": 202.75,
    "y": 169.17
  },
  {
    "x": 221.78,
    "y": 167.99
  },
  {
    "x": 238.94,
    "y": 172.43
  },
  {
    "x": 224.92,
    "y": 186.73
  },
  {
    "x": 204.97,
    "y": 193.61
  },
  {
    "x": 183.27,
    "y": 191.76
  },
  {
    "x": 184.52,
    "y": 179
  },
  {
    "x": 203.5,
    "y": 177.11
  },
  {
    "x": 221.54,
    "y": 174.5
  },
  {
    "x": 221.62,
    "y": 178.9
  },
  {
    "x": 203.77,
    "y": 182.13
  },
  {
    "x": 184.82,
    "y": 183.2
  }
]

Show landmark150

{
  "cheek_right_1": {
    "x": 101.17,
    "y": 125.61
  },
  "cheek_right_3": {
    "x": 108.34,
    "y": 151.5
  },
  "cheek_right_5": {
    "x": 117.67,
    "y": 177.31
  },
  "cheek_right_7": {
    "x": 130.68,
    "y": 202.68
  },
  "cheek_right_9": {
    "x": 155.9,
    "y": 224.62
  },
  "cheek_right_11": {
    "x": 183.48,
    "y": 237
  },
  "chin_2": {
    "x": 209.95,
    "y": 239.3
  },
  "cheek_left_11": {
    "x": 235.23,
    "y": 228.95
  },
  "cheek_left_9": {
    "x": 258.09,
    "y": 207.98
  },
  "cheek_left_7": {
    "x": 273.18,
    "y": 182.04
  },
  "cheek_left_5": {
    "x": 278.9,
    "y": 155.82
  },
  "cheek_left_3": {
    "x": 281.37,
    "y": 129.89
  },
  "cheek_left_1": {
    "x": 281.27,
    "y": 104
  },
  "eye_right_corner_right": {
    "x": 126.49,
    "y": 107.15
  },
  "eye_right_eyelid_upper_2": {
    "x": 135.48,
    "y": 99.09
  },
  "eye_right_eyelid_upper_4": {
    "x": 145.41,
    "y": 95.26
  },
  "eye_right_eyelid_upper_6": {
    "x": 156.55,
    "y": 95.97
  },
  "eye_right_corner_left": {
    "x": 167.67,
    "y": 102.29
  },
  "eye_right_eyelid_lower_6": {
    "x": 157.7,
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  "nose_right_contour_5": {
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}

Show landmark201

{
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  "eye_left_eyeball_left": {
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  "nose_bridge_1": {
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  "nose_middle_contour": {
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  "mouth_corner_left_inner": {
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  "mouth_lip_upper_outer_10": {
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  "mouth_lip_upper_outer_11": {
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  "mouth_lip_lower_outer_11": {
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  "mouth_lip_lower_outer_4": {
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  "mouth_lip_lower_outer_2": {
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  "mouth_lip_lower_outer_1": {
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  "mouth_lip_upper_inner_1": {
    "x": 171.22261047363,
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  "mouth_lip_upper_inner_2": {
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  "mouth_lip_upper_inner_11": {
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  "mouth_lip_lower_inner_1": {
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  "iris_left_2": {
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  },
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    "y": -0.85879385471344
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  "forehead_left_2": {
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}

Authorizations

ailabapi-api-key

string

header

required

API Key for authentication

Body

multipart/form-data

image

file

max_face_num

string

The maximum number of faces to process. The default value is 1 (only the face with the largest area in the image is detected).

face_field

string

Returns more information about the face (by default only face_token, face frame, probability and rotation angle are returned).

age: Age information.
gender: Gender information.
landmark4: 4 feature points.
landmark72: 72 feature points.
landmark150: 150 feature points.
landmark201: 201 feature points.

Response

200 - application/json

Success

The response is of type object.

Preface

Quick Start

AI Common

AI Portrait

AI Image

AI Background Removal

Request

Image requirements

Headers

Body

Response

Public Response Fields

Business Response Fields

Response Example

Authorizations

Body

Response

​Request

​Image requirements

​Headers

​Body

​Response

​Public Response Fields

​Business Response Fields

​Response Example

Authorizations

Body

Response

Request

Image requirements

Headers

Body

Response

Public Response Fields

Business Response Fields

Response Example