The Skin Analyze API offers a sophisticated solution for assessing facial skin conditions from images. Utilizing advanced image processing technology, this API detects and analyzes various skin attributes, including skin color, texture, double eyelids, eye bags, dark circles, wrinkles, acne, and spots. Ideal for skincare apps, beauty platforms, and dermatology tools, the Skin Analyze API provides detailed insights into skin health and condition, empowering users to make informed skincare decisions. Integrate our high-performance, scalable, and user-friendly API to enhance user engagement, deliver personalized skincare recommendations, and elevate your digital beauty solutions. Experience seamless integration and exceptional accuracy with the Skin Analyze API, designed to meet the evolving needs of modern skincare analysis.
| Functions | Description | Corresponding parameters |
|---|---|---|
| Face Detection | Detect face and position | face_rectangle |
| Skin Analysis | Analyze skin condition.
|
result |
Analyze facial skin conditions in images with our Skin Analyze API, detecting skin color, texture, wrinkles, acne, dark circles, and more.
JPG JPEG| Field | Required | Type |
|---|---|---|
image |
YES | file |
Viewing Public Parameters and Error Codes
| Field | Type | Scope | Description |
|---|---|---|---|
warning |
array |
|
Interference factors affecting the calculation results.
|
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 |
|
Type.
|
++confidence |
float |
[0, 1] | Confidence. |
+right_eyelids |
object |
Results of the double eyelid test on the right eye. | |
++value |
integer |
|
Type.
|
++confidence |
float |
[0, 1] | Confidence. |
+eye_pouch |
object |
Eye bag test results. | |
++value |
integer |
|
With or without eye bags.
|
++confidence |
float |
[0, 1] | Confidence. |
+dark_circle |
object |
Dark circles test results. | |
++value |
integer |
|
With or without dark circles under the eyes.
|
++confidence |
float |
[0, 1] | Confidence. |
+forehead_wrinkle |
object |
Results of the head-lift test. | |
++value |
integer |
|
With or without headlines.
|
++confidence |
float |
[0, 1] | Confidence. |
+crows_feet |
object |
Fishtail test results. | |
++value |
integer |
|
With or without crow's feet.
|
++confidence |
float |
[0, 1] | Confidence. |
+eye_finelines |
object |
Results of the eye fine lines test. | |
++value |
integer |
|
The presence or absence of fine lines under the eyes.
|
++confidence |
float |
[0, 1] | Confidence. |
+glabella_wrinkle |
object |
Results of the interbrow line test. | |
++value |
integer |
|
With or without interbrow lines.
|
++confidence |
float |
[0, 1] | Confidence. |
+nasolabial_fold |
object |
Results of the forehead line test. | |
++value |
integer |
|
With or without lines.
|
++confidence |
float |
[0, 1] | Confidence. |
+skin_type |
object |
Skin texture test results. | |
++skin_type |
integer |
|
Type.
|
++details |
object |
The confidence level of each classification. | |
+++0 |
object |
Oily skin information. | |
++++value |
integer |
|
Oily skin.
|
++++confidence |
float |
Confidence. | |
+++1 |
object |
Dry skin information. | |
++++value |
integer |
|
Dry skin.
|
++++confidence |
float |
Confidence. | |
+++2 |
object |
Neutral skin information. | |
++++value |
integer |
|
Neutral skin.
|
++++confidence |
float |
Confidence. | |
+++3 |
object |
Combination skin information. | |
++++value |
integer |
|
Combination skin.
|
++++confidence |
float |
Confidence. | |
+pores_forehead |
object |
Forehead pore test results. | |
++value |
integer |
|
With or without enlarged pores.
|
++confidence |
float |
[0, 1] | Confidence. |
+pores_left_cheek |
object |
Results of the left cheek pore test. | |
++value |
integer |
|
With or without enlarged pores.
|
++confidence |
float |
[0, 1] | Confidence. |
+pores_right_cheek |
object |
Results of the right cheek pore test. | |
++value |
integer |
|
With or without enlarged pores.
|
++confidence |
float |
[0, 1] | Confidence. |
+pores_jaw |
object |
Chin pore test results. | |
++value |
integer |
|
With or without enlarged pores.
|
++confidence |
float |
[0, 1] | Confidence. |
+blackhead |
object |
Blackhead test results. | |
++value |
integer |
|
With or without blackheads.
|
++confidence |
float |
[0, 1] | Confidence. |
+acne |
object |
Acne test results. | |
++value |
integer |
|
With or without Acne.
|
++confidence |
float |
[0, 1] | Confidence. |
+mole |
object |
Mole test results. | |
++value |
integer |
|
With or without moles.
|
++confidence |
float |
[0, 1] | Confidence. |
+skin_spot |
object |
Spot detection results. | |
++value |
integer |
|
With or without spotting.
|
++confidence |
float |
[0, 1] | Confidence. |
Skin Analyze - Endpoint Features
| Object | Description |
|---|---|
Request Body |
[Required] File Binary |
{
"request_id": "",
"log_id": "",
"error_code": 0,
"error_code_str": "",
"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
}
}
}
curl --location 'https://zylalabs.com/api/4441/skin+analyze+api/5454/skin+analyze' \
--header 'Content-Type: application/json' \
--form 'image=@"FILE_PATH"'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long term commitments. One click upgrade/downgrade or cancellation. No questions asked.
The Skin Analyze API offers a sophisticated solution for assessing facial skin conditions from images. Utilizing advanced image processing technology, this API detects and analyzes various skin attributes, including skin color, texture, double eyelids, eye bags, dark circles, wrinkles, acne, and spots. Ideal for skincare apps, beauty platforms, and dermatology tools, the Skin Analyze API provides detailed insights into skin health and condition, empowering users to make informed skincare decisions. Integrate our high-performance, scalable, and user-friendly API to enhance user engagement, deliver personalized skincare recommendations, and elevate your digital beauty solutions.
Skincare Recommendations: Providing personalized skincare advice based on an analysis of individual skin conditions and needs. Cosmetic Industry: Helping companies develop and market products by understanding different skin types and common issues. Beauty Salons and Spas: Offering clients detailed skin analysis to tailor treatments and skincare routines. Consumer Apps: Integrating skin analysis features into mobile apps for users to monitor their skin health and track changes over time. Research: Supporting dermatological research by providing comprehensive skin health data and analysis.
Personalization: Delivers tailored skincare recommendations and treatments based on detailed skin analysis. Accuracy: Uses advanced technology to provide precise and comprehensive analysis of various skin parameters. Convenience: Offers an easy and quick way for individuals to assess their skin health without needing to visit a professional. Versatility: Applicable to various fields, including skincare, dermatology, cosmetics, telemedicine, beauty services, consumer apps, research, and public health. Real-Time Results: Provides immediate feedback and analysis, enabling prompt recommendations and interventions.
Yes, we do have more detailed [API documentation](https://www.ailabtools.com/doc/ai-portrait/analysis/skin-analysis/api-marketplace) available. You can access it on our website or by contacting our support team for assistance.
Dermatologists and Skincare Professionals: Experts who need advanced tools to assess and analyze skin conditions for accurate diagnosis and treatment planning. Beauty and Cosmetic Industry Professionals: Individuals involved in developing and recommending skincare products who require detailed skin analysis to tailor solutions for their clients. Aesthetic and Cosmetic Clinics: Facilities offering skin treatments and procedures that benefit from precise skin analysis to enhance service quality and outcomes. Consumers Interested in Skincare: Individuals seeking to understand their skin better and make informed decisions about their skincare routines and product choices.
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