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.
Pass the image that you want to analyze. Just 1 face per request. Receive an extensive analysis of the located skin imperfections.
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.
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.
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.
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.
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.
Besides the number of API calls, there are no other limitations.
Get an in-depth analysis of the skin of the image you specify.
Skin Analysis - Endpoint Features
| Object | Description |
|---|---|
Request Body |
[Required] Json |
{"log_id":"1773751447,d504e7e9-5452-4ba9-8fcc-5b5cf49e386e","request_id":"1773751447,18df3c18-e534-452a-816f-ba650275d403","timestamp":"2026-03-17T12:44:07.146479","analysis_type":"comprehensive","focus_areas":["acne","wrinkles","pores"],"image_url":"https://a.files.bbci.co.uk/worldservice/live/assets/images/2016/04/21/160421151857_acne_624x351_thinkstock_nocredit.jpg","image_info":{"original_size":{"width":512,"height":288},"processed_size":{"width":512,"height":288},"bbox_format":"x1,y1,x2,y2","coordinate_system":"pixels"},"quality":{"blur_score":0.824,"exposure_score":0.16,"contrast_score":0.294,"overall_quality":"poor","quality_score":0.333,"warnings":["High blur detected - texture-dependent analysis may be unreliable","Consider retaking photo with better focus","Underexposed image - may affect lesion detection"],"scales":{"blur_score":"0=sharp, 1=blurry","exposure_score":"0=dark, 1=overexposed","contrast_score":"0=low, 1=high","quality_score":"0=poor, 1=excellent"}},"face_regions":{"left_cheek":[115,86,201,173],"right_cheek":[288,86,375,173],"chin":[180,173,310,260],"forehead":[180,0,310,86]},"lesions":{"count":0,"severity":"none","severity_percentage":0.0,"confidence":0.95,"detection_status":"not_present"},"pores":{"left_cheek":{"count":1,"density":1.34,"density_units":"pores/10k_pixels","severity":"low","confidence":0.600133654103181,"filtering_applied":"morphological + circularity"},"right_cheek":{"count":7,"density":9.25,"density_units":"pores/10k_pixels","severity":"low","confidence":0.6009248249438499,"filtering_applied":"morphological + circularity"},"chin":{"count":2,"density":1.77,"density_units":"pores/10k_pixels","severity":"low","confidence":0.6001768346595933,"filtering_applied":"morphological + circularity"},"forehead":{"count":1,"density":0.89,"density_units":"pores/10k_pixels","severity":"low","confidence":0.6000894454382826,"filtering_applied":"morphological + circularity"}},"wrinkles":{"left_cheek":{"wrinkle_score":0.546,"severity":"moderate","confidence":0.8638320685224598},"right_cheek":{"wrinkle_score":0.37,"severity":"moderate","confidence":0.8111346385265074},"chin":{"wrinkle_score":0.444,"severity":"moderate","confidence":0.8332612127886169},"forehead":{"wrinkle_score":0.585,"severity":"moderate","confidence":0.8756066997274834}},"pigmentation":{"left_cheek":{"spot_count":1,"density":1.34,"density_units":"spots/10k_pixels","severity":"none","confidence":0.600133654103181,"filtering_applied":"morphological + circularity","detection_type":"defined_spots_only"},"right_cheek":{"spot_count":1,"density":1.32,"density_units":"spots/10k_pixels","severity":"none","confidence":0.6001321178491213,"filtering_applied":"morphological + circularity","detection_type":"defined_spots_only"},"chin":{"spot_count":0,"density":0.0,"density_units":"spots/10k_pixels","severity":"none","confidence":0.6,"filtering_applied":"morphological + circularity","detection_type":"defined_spots_only"},"forehead":{"spot_count":1,"density":0.89,"density_units":"spots/10k_pixels","severity":"none","confidence":0.6000894454382826,"filtering_applied":"morphological + circularity","detection_type":"defined_spots_only"}},"skin_type":{"label":"mixed","confidence":0.8,"texture_score":17442.5879},"severity":{"overall":"mild","confidence":0.703,"component_scores":{"inflammatory_acne":0,"pores":0.2,"wrinkles":0.7,"pigmentation":0.0},"total_weighted_score":0.9,"weighting_system":"mature_skin_optimized","explanation":"Wrinkles and pigmentation weighted higher for mature skin analysis","criteria":{"inflammatory_acne":">5 lesions or >2% area","pores":">300 pores/10k_pixels in any region","wrinkles":">0.6 wrinkle_score in any region","pigmentation":">500 spots/10k_pixels in any region","thresholds":{"mild":"0-2 lesions, <100 pores/10k_pixels, <0.3 wrinkle_score","moderate":"3-5 lesions, 100-300 pores/10k_pixels, 0.3-0.6 wrinkle_score","severe":">5 lesions, >300 pores/10k_pixels, >0.6 wrinkle_score"}}}}
curl --location --request POST 'https://zylalabs.com/api/1991/skin+analysis+api/16860/skin+analysis' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"analysis_type": "comprehensive",
"image_url": "https://a.files.bbci.co.uk/worldservice/live/assets/images/2016/04/21/160421151857_acne_624x351_thinkstock_nocredit.jpg",
"focus_areas": ["acne", "wrinkles", "pores"]
}'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime.
The Skin Analysis API returns detailed information about skin features, including imperfections like acne, wrinkles, pores, and dark circles. The response includes a face token, location coordinates, and a confidence score for the detected features.
Key fields in the response include "face_num" (number of faces detected), "face_list" (details of each face), "location" (coordinates of the detected face), and "prob" (probability of detection), which indicates the confidence level of the analysis.
The response data is structured in a JSON format. It includes a top-level object with "error_code," "error_detail," and "result." The "result" contains "face_num" and "face_list," which details each detected face's attributes.
The Get Analysis endpoint accepts an image upload and an optional parameter for feature detection. Users can specify features like "color," "smooth," "acnespotmole," "wrinkle," "eyesattr," "blackheadpore," and "skinquality." Multiple features can be combined in a single request.
Users can customize their requests by selecting specific skin features to analyze through the optional parameter. For example, to analyze both blackheads and skin quality, users would input "blackheadpore,skinquality" in the parameter field.
The API provides information on various skin conditions, including color, smoothness, acne spots, wrinkles, pores, blackheads, dark circles, and eye bags. It also identifies specific details like blood vessel dark circles and acne marks.
Data accuracy is maintained through advanced image recognition technology that compares analyzed images against a comprehensive database of skin profiles and conditions. Continuous updates and quality checks ensure reliable results.
Typical use cases include personalized skincare recommendations, skin health tracking, dermatology diagnosis, skincare product development, and beauty consultations. These applications help users make informed decisions about their skincare needs.
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