AILabTools API - Skin Analyze - API

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Important Announcement: The API Documentation Has Been Fully Updated

This API documentation has been completely restructured with an improved and clearer format. The current page will no longer receive active updates or maintenance. For the most accurate and up-to-date information, please switch to the new documentation.

View New Docs

Request

• URL: https://www.ailabapi.com/api/portrait/analysis/skin-analysis
• Method: POST
• Content-Type: multipart/form-data

Image requirements

• Image format: JPG JPEG
• Image size: No more than 2 MB.
• Image resolution: Larger than 200x200px, smaller than 4096x4096px.
• Minimum face pixel size: To ensure the effect, it is recommended that the minimum value of the face box (square) side length in the image is not less than 200 pixels. Calibration size: minimum of 160 pixels. The minimum value of the face frame edge length is not less than one-tenth of the shortest edge of the image.
• Face quality: The higher the face quality, the more accurate the skin analysis. Factors affecting face quality include: occlusion of the five facial features, blurred images, improper lighting (bright, dark, backlight), excessive face angle (roll ≤ ±45°, yaw ≤ ±45°, pitch ≤ ±45° are recommended), etc.

Headers

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

Body

Field	Required	Type
image	YES	file

Response

Response Field Handling Flow

1. 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.

2. 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
warning	array	imporper_headpose	Interference factors affecting the calculation results. imporper_headpose: Improper head angle (Judgment condition roll,yaw,pitch exceeds [-45,45]).
face_rectangle	object		The position of the face rectangle box.
+top	float		The vertical coordinate of the pixel point in the upper-left corner of the rectangle box.
+left	float		The horizontal coordinate of the pixel point in the upper-left corner of the rectangle.
+width	float		The width of the rectangle box.
+height	float		The height of the rectangle box.
result	object		Results of face skin analysis.
+left_eyelids	object		Results of the double eyelid test on the left eye.
++value	integer	0 1 2	Type. 0: Single eyelids 1: Parallel Double Eyelids 2: Scalloped Double Eyelids
++confidence	float	[0, 1]	Confidence.
+right_eyelids	object		Results of the double eyelid test on the right eye.
++value	integer	0 1 2	Type. 0: Single eyelids 1: Parallel Double Eyelids 2: Scalloped Double Eyelids
++confidence	float	[0, 1]	Confidence.
+eye_pouch	object		Eye bag test results.
++value	integer	0 1	With or without eye bags. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+dark_circle	object		Dark circles test results.
++value	integer	0 1	With or without dark circles under the eyes. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+forehead_wrinkle	object		Results of the head-lift test.
++value	integer	0 1	With or without headlines. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+crows_feet	object		Fishtail test results.
++value	integer	0 1	With or without crow's feet. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+eye_finelines	object		Results of the eye fine lines test.
++value	integer	0 1	The presence or absence of fine lines under the eyes. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+glabella_wrinkle	object		Results of the interbrow line test.
++value	integer	0 1	With or without interbrow lines. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+nasolabial_fold	object		Results of the forehead line test.
++value	integer	0 1	With or without lines. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+skin_type	object		Skin texture test results.
++skin_type	integer	0 1 2 3	Type. 0: Oily skin. 1: Dry skin. 2: Neutral skin. 3: Combination skin.
++details	object		The confidence level of each classification.
+++0	object		Oily skin information.
++++value	integer	0 1	Oily skin. 0: No. 1: Yes.
++++confidence	float		Confidence.
+++1	object		Dry skin information.
++++value	integer	0 1	Dry skin. 0: No. 1: Yes.
++++confidence	float		Confidence.
+++2	object		Neutral skin information.
++++value	integer	0 1	Neutral skin. 0: No. 1: Yes.
++++confidence	float		Confidence.
+++3	object		Combination skin information.
++++value	integer	0 1	Combination skin. 0: No. 1: Yes.
++++confidence	float		Confidence.
+pores_forehead	object		Forehead pore test results.
++value	integer	0 1	With or without enlarged pores. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+pores_left_cheek	object		Results of the left cheek pore test.
++value	integer	0 1	With or without enlarged pores. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+pores_right_cheek	object		Results of the right cheek pore test.
++value	integer	0 1	With or without enlarged pores. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+pores_jaw	object		Chin pore test results.
++value	integer	0 1	With or without enlarged pores. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+blackhead	object		Blackhead test results.
++value	integer	0 1	With or without blackheads. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+acne	object		Acne test results.
++value	integer	0 1	With or without Acne. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+mole	object		Mole test results.
++value	integer	0 1	With or without moles. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.
+skin_spot	object		Spot detection results.
++value	integer	0 1	With or without spotting. 0: No 1: Yes
++confidence	float	[0, 1]	Confidence.

Response Example

{
  "request_id":     "",
  "log_id":         "",
  "error_code":     0,
  "error_msg":      "",
  "error_detail":   {
    "status_code":  200,
    "code":         "",
    "code_message": "",
    "message":      ""
  },
  "warning": [],
  "face_rectangle": {
    "top": 0,
    "left": 0,
    "width": 0,
    "height": 0
  },
  "result": {
    "left_eyelids": {
      "value": 0,
      "confidence": 0.89
    },
    "right_eyelids": {
      "value": 0,
      "confidence": 0.89
    },
    "eye_pouch": {
      "value": 0,
      "confidence": 0.89
    },
    "dark_circle": {
      "value": 0,
      "confidence": 0.89
    },
    "forehead_wrinkle": {
      "value": 0,
      "confidence": 0.89
    },
    "crows_feet": {
      "value": 0,
      "confidence": 0.89
    },
    "eye_finelines": {
      "value": 0,
      "confidence": 0.89
    },
    "glabella_wrinkle": {
      "value": 0,
      "confidence": 0.89
    },
    "nasolabial_fold": {
      "value": 0,
      "confidence": 0.89
    },
    "skin_type": {
      "skin_type": 0,
      "details": {
        "0": {
          "value": 1,
          "confidence": 0.89
        },
        "1": {
          "value": 1,
          "confidence": 0.89
        },
        "2": {
          "value": 1,
          "confidence": 0.89
        },
        "3": {
          "value": 1,
          "confidence": 0.89
        }
      }
    },
    "pores": {
      "value": 0,
      "confidence": 1
    },
    "pores_forehead": {
      "value": 0,
      "confidence": 1
    },
    "pores_left_cheek": {
      "value": 0,
      "confidence": 1
    },
    "pores_right_cheek": {
      "value": 0,
      "confidence": 1
    },
    "pores_jaw": {
      "value": 0,
      "confidence": 1
    },
    "blackhead": {
      "value": 0,
      "confidence": 1
    },
    "acne": {
      "value": 0,
      "confidence": 1
    },
    "mole": {
      "value": 0,
      "confidence": 1
    },
    "skin_spot": {
      "value": 0,
      "confidence": 1
    }
  }
}

Sample Code

• Introduction to Get Sample Code
• Sample Code