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 |
{"error_code":0,"error_detail":{"status_code":200,"code":"","code_message":"","message":""},"face_rectangle":{"width":397,"top":311,"height":396,"left":199},"log_id":"1718440173,1f959671-b205-428a-9271-febfad11fdb4","request_id":"1718440173,1f959671-b205-428a-9271-febfad11fdb4","result":{"pores_left_cheek":{"confidence":0.99999976,"value":0},"nasolabial_fold":{"confidence":0.022313023,"value":0},"eye_pouch":{"confidence":0.85949725,"value":0},"forehead_wrinkle":{"confidence":0.0003050094,"value":0},"skin_spot":{"confidence":7.187278e-8,"value":0},"acne":{"confidence":2.4034094e-7,"value":0},"pores_forehead":{"confidence":0.99999976,"value":0},"pores_jaw":{"confidence":0.99999905,"value":0},"left_eyelids":{"confidence":0.99999714,"value":1},"eye_finelines":{"confidence":0.013693521,"value":0},"dark_circle":{"confidence":0.9999969,"value":0},"crows_feet":{"confidence":5.5498876e-5,"value":0},"pores_right_cheek":{"confidence":0.99999464,"value":0},"blackhead":{"confidence":1.3541174e-8,"value":0},"glabella_wrinkle":{"confidence":0.0006322496,"value":0},"mole":{"confidence":0.87727475,"value":1},"skin_type":{"details":[{"confidence":0.02714764,"value":0},{"confidence":8.629828e-5,"value":0},{"confidence":0.96285826,"value":1},{"confidence":0.009907861,"value":0}],"skin_type":2},"right_eyelids":{"confidence":0.7185223,"value":1}},"warning":[]}
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. |
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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.
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.
The Skin Analyze API returns detailed analysis results of facial skin conditions, including attributes like skin type, presence of wrinkles, acne, dark circles, and more. The response includes both public parameters (like face rectangle coordinates) and business parameters (like confidence levels for each skin condition).
Key fields in the response include `face_rectangle` (coordinates of the detected face), `warning` (any issues affecting analysis), and `result` (detailed analysis results for various skin conditions, including confidence levels).
The response data is structured into public parameters and business parameters. Public parameters include metadata about the request, while business parameters contain detailed analysis results categorized by skin conditions, each with a value and confidence score.
The main parameter for the Skin Analyze endpoint is `image`, which must be a valid image file in JPG or JPEG format. The image should meet specific size and resolution requirements to ensure accurate analysis.
Users can customize their requests by ensuring the input image meets the specified quality criteria, such as resolution and face pixel size. This helps improve the accuracy of the analysis results returned by the API.
The API provides information on various skin conditions, including skin type (oily, dry, normal, combination), presence of acne, wrinkles, dark circles, and more. Each condition is assessed with a confidence score to indicate the reliability of the analysis.
Data accuracy is maintained through advanced image processing technology that analyzes facial features under optimal conditions. Factors like image quality, lighting, and face angle are considered to ensure reliable results.
Typical use cases include personalized skincare recommendations, product development in the cosmetic industry, and integration into consumer apps for tracking skin health. The data can also support dermatological research by providing insights into common skin issues.
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