Skin Analysis API

Skin Analysis API

The Skin Analysis API is a tool that provides multi-dimensional skin analysis, detecting and identifying various skin features such as color, smoothness, acne, wrinkles, pores, blackheads, dark circles, and eye bags. It also provides accurate identification of details such as blood vessel dark circles and acne marks, assisting in the diagnosis of various skin conditions.

API description

About the API:

The Skin Analysis API is a powerful tool that assists skincare professionals and individuals in analyzing their skin's health and identifying potential skin conditions. This API uses advanced image recognition technology to provide multi-dimensional, detailed skin analysis, including the detection and identification of various skin features such as color, smoothness, acne spots, wrinkles, pores, blackheads, dark circles, and eye bags.

The Skin Analysis API is designed to provide comprehensive and accurate results by identifying even the smallest details such as blood vessel dark circles, acne marks, and other imperfections that may not be easily visible to the naked eye. The API's technology works by analyzing high-resolution images of the skin and comparing them to a vast database of skin profiles and conditions to provide an accurate diagnosis.

The Skin Analysis API provides skincare professionals and individuals with the ability to track their skin's health over time. By analyzing changes in the skin's condition, users can identify potential problems early on and take proactive measures to improve their skin's health. Additionally, the API can provide personalized recommendations for skincare products and treatments based on the user's unique skin profile.

Skincare professionals can integrate the Skin Analysis API into their practice, enabling them to provide more accurate diagnoses and tailored treatment plans for their clients. By using the API, skincare professionals can save time and resources by automating the skin analysis process, allowing them to focus on providing high-quality skincare services to their clients.

The Skin Analysis API can also be used in the development of skincare products. By analyzing the efficacy of different ingredients on various skin conditions, skincare companies can develop products that are tailored to their target audience's unique skin profiles. This feature can lead to the development of more effective skincare products that deliver better results for users.

In conclusion, the Skin Analysis API is a valuable tool for skincare professionals, individuals, and skincare companies alike. The API's advanced image recognition technology provides comprehensive and accurate skin analysis, enabling users to identify potential skin problems early on and take proactive measures to improve their skin's health. The Skin Analysis API can also save time and resources for skincare professionals and companies while leading to the development of more effective skincare products.

 

What your API receives and what your API provides (input/output)?

Pass the image that you want to analyze. Just 1 face per request. Receive an extensive analysis of the located skin imperfections. 

 

What are the most common uses cases of this API?

  1. Personalized Skincare Recommendations: Skincare companies can use the Skin Analysis API to provide personalized skincare recommendations to their customers. By analyzing the customer's skin profile, the API can suggest products that are tailored to their unique needs and concerns, improving the customer's overall experience and satisfaction.

  2. Skin Health Tracking: Individuals can use the Skin Analysis API to track their skin health over time. By regularly analyzing their skin's condition, users can identify potential problems early on and take proactive measures to improve their skin's health.

  3. Dermatology Diagnosis: Dermatologists can use the Skin Analysis API to assist in diagnosing various skin conditions accurately. The API's advanced image recognition technology can help identify subtle changes in the skin, leading to more accurate diagnoses and treatment plans.

  4. Skincare Product Development: Skincare companies can use the Skin Analysis API to develop new skincare products that are tailored to specific skin profiles and conditions. By analyzing the efficacy of different ingredients on various skin types, companies can create more effective products that deliver better results for their customers.

  5. Beauty Consultations: Skincare professionals can use the Skin Analysis API to provide more accurate and personalized beauty consultations to their clients. By analyzing the client's skin profile, the professional can recommend skincare products and treatments that are tailored to the client's unique needs and concerns, improving the client's overall experience and satisfaction.

Overall, the Skin Analysis API has a wide range of potential use cases that can help improve the quality of skincare products and services provided to customers. By providing accurate and personalized skin analysis, the API can help individuals and professionals alike make better-informed decisions regarding their skincare needs and concerns.

 

Are there any limitations to your plans?

Besides the number of API calls, there are no other limitations.

API Documentation

Endpoints


  • Image requirements
    • Image format: JPGPNGBMP.
    • Image size: no more than 8 MB.
    • Image resolution: Below 1920x1080.
    • 1 face per picture. 

Provides multi-dimensional detailed skin analysis on the skin, comprehensive detection and identification of skin color, skin smoothness, acne spots, wrinkles, pores, blackheads, dark circles and eye bags, etc., accurate to such as blood vessel dark circles, acne marks, etc. detail

 

Response Parameters Type Description
face_num int Number of faces in the picture
face_list array List of face information
face_token string Face logo
location array Position of the face in the picture
+left double Distance of the face area from the left border
+top double Distance of the face area from the upper boundary
+width double Width of the face area
+height double Height of the face area
+degree int Clockwise rotation angle of the face frame relative to the vertical direction [-180,180]
skin array Skin related information
+color int Skin tone grading (1-6, lower values indicate lighter skin tone)
+smooth int Skin smoothness grading (1-4, lower values indicate smoother skin)
acnespotmole array Information about mole spots
+acne_num int Number of acne detected
+acne_list array Acne list
++type int Acne type (0: Whitehead, 1: Acne mark, 2: Pustules, 3: Nodules)
++score double Confidence range for this area (0-1)
++left double Distance between the left border of the acne area and the picture's left border
++top double Distance between the upper border of the acne area and the picture's upper border
++right double Distance between the right border of the acne area and the picture's left border
++bottom double Distance between the bottom border of the acne area and the picture's upper border
+speckle_num int Number of spots
+speckle_list array Spot information list
++type int Spot type (0: chloasma, 1: freckles, 2: sunburn, 3: age spots)
++score double Confidence range for this area (0-1)
++left double Distance between the left border of the spot area and the picture's left border
++top double Distance between the upper border of the spot area and the picture's upper border
++right double Distance between the right border of the spot area and the picture's left border
++bottom double Distance between the bottom border of the spot area and the picture's upper border
+mole_num int Number of moles
+mole_list array Mole information list
++score double Confidence range for moles (0-1)
++left double Distance between the left border of the mole area and the picture's left border
++top double Distance between the upper border of the mole area and the picture's upper border
++right double Distance between the right border of the mole area and the picture's left border
++bottom double Distance between the bottom border of the mole area and the picture's upper border
wrinkle array Wrinkle information
+wrinkle_num int Number of wrinkles
+wrinkle_types int Wrinkle types (1: forehead wrinkles, 2: Sichuan-shaped lines, 3: fine lines around the eyes, 4: crow’s feet, 5: nasolabial lines, 6: wrinkles around the mouth)
+wrinkle_data array Wrinkle information
++x double Distance from the wrinkle point to the left border
++y double Distance between the wrinkle point and the upper boundary
eyesattr array Eye attribute information
+dark_circle_left_type int Types of dark circles in the left eye (0: pigment type, 1: shadow type, 2: vascular type)
+dark_circle_right_type int Types of dark circles in the right eye (0: pigment type, 1: shadow type, 2: vascular type)
+dark_circle_left array Dark circles on the left eye
+++x double Distance of the dark circle from the left border
+++y double Distance of the dark circle from the upper boundary
+dark_circle_right array Dark circles on the right eye
+++x double Distance of the dark circle from the left border
+++y double Distance of the dark circle from the upper boundary
+eye_bags_left array Left eye bag
+++x double Distance of the eye bag from the left border
+++y double Distance between the bags under the eyes and the upper boundary
+eye_bags_right array Right eye bag
+++x double Distance of the eye bag from the left border
+++y double Distance between the bags under the eyes and the upper boundary
+eye_bags_left_type array Left eye bag type (1: Fat type, 2: Tear groove type, 3: Mixed type)
+eye_bags_right_type array Types of bags under the right eye (1: Fat type, 2: Tear groove type, 3: Mixed type)
blackheadpore array Blackhead pore information
+poly array Areas where blackhead pores are detected
++class_id int Blackhead or pore identification (0 means blackhead, 1 means pore)
++score double Probability (0-1)
++left double Location of the left boundary of the area
++right double Location of the right boundary of the area
++top double Location of the upper boundary of the area
++bottom double Location of the lower boundary of the area
++point array Outer contour points of pores or blackheads
+++x double Distance of the pore or blackhead from the left border
+++y double Distance of the pores or blackheads from the upper boundary
circles array Center point and radius of pores or blackheads
+++blackhead array Center point and radius of all blackheads
++++x double Distance from the center point of the black head to the left boundary
++++y double Distance from the center point of the black head to the upper boundary
++++r double Blackhead radius
+++pore array Center point and radius of all pores
+++++x double Distance between the center point of the pore and the left boundary
+++++y double Distance between the center point of the pore and the upper boundary
+++++r double Pore radius
+pore_num int Number of pores
+pore_segs_type array Pore type (1: oily type, 2: dehydrated type, 3: keratinous type



                                                                            
POST https://zylalabs.com/api/1991/skin+analysis+api/1755/get+analysis
                                                                            
                                                                        

Get Analysis - Endpoint Features
Object Description
max_face_num [Required]
face_field [Required]
Request Body [Required] File Binary
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"Example Response":"No response example available for now."}
                                                                                                                                                                                                                    
                                                                                                    

Get Analysis - CODE SNIPPETS


    curl --location 'https://zylalabs.com/api/1991/skin+analysis+api/1755/get+analysis?max_face_num=1&face_field=color,smooth,acnespotmole' \
    --header 'Content-Type: multipart/form-data' \ 
    --form 'image=@"FILE_PATH"'


API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Skin Analysis API REST API, simply include your bearer token in the Authorization header.

Headers

Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.


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100%
 Response Time
908ms

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