Detect Skin Disease API

Predict skin disease classifications from natural skin images with our Detect Skin Disease API, providing accurate and reliable results.

The Detect Skin Disease API leverages advanced machine learning algorithms to classify and predict various skin diseases from natural skin images. Ideal for telemedicine, dermatology applications, and health platforms, this API offers a powerful tool for early detection and diagnosis. By analyzing input images, the API can identify and categorize a wide range of skin conditions, providing healthcare professionals and users with valuable insights into skin health. Enhance your medical applications, improve diagnostic accuracy, and streamline patient care with our high-performance, scalable, and easy-to-integrate API. The Detect Skin Disease API is designed to meet the rigorous demands of modern healthcare, ensuring accurate and reliable skin disease predictions.

API Documentation

Endpoints


Predict skin disease classifications from natural skin images with our Detect Skin Disease API, providing accurate and reliable results.

Request

Image requirements

  • Image format: JPG PNG
  • Image size: No more than 20 MB.
  • Image resolution: Less than 1280x1280px.

Body

Field Required Type
image YES file

Response

Public Parameters

Viewing Public Parameters and Error Codes

Business Parameters

Field Type Description
data object The content of the result data returned.
+body_part string Skin lesion site identification.
+image_quality float Image quality score.
+image_type string Image classification.
+results_english object ใ€Englishใ€‘The predicted results. Contains Key-Value pairs, where Key is the disease name and Value is the probability.
++acne float Acne
++actinic_keratosis float Actinic Keratosis
++alopecia_androgenetica float Alopecia Androgenetica
++alopecia_areata float Alopecia Areata
++bullous_dermatosis float Bullous Dermatosis
++chloasma float Chloasma
++corn float Corn
++dermatofibroma float Dermatofibroma
++eczema_dermatitis float Eczema Dermatitis
++erysipelas float Erysipelas
++erythema_multiforme float Erythema Multiforme
++folliculitis float Folliculitis
++furuncle float Furuncle
++haemangioma float Haemangioma
++herpes float Herpes
++herpes_simplex float Herpes Simplex
++iga_vasculitis float Iga Vasculitis
++keloid float Keloid
++keratosis_follicularism float Keratosis Follicularism
++lichen_planus float Lichen Planus
++lupus_erythematosus float Lupus Erythematosus
++molluscum_contagiosum float Molluscum Contagiosum
++nevus float Nevus
++paronychia float Paronychia
++pityriasis_alba float Pityriasis Alba
++pityriasis_rosea float Pityriasis Rosea
++prurigo_nodularis float Prurigo Nodularis
++psoriasis float Psoriasis
++rosacea float Rosacea
++sebaceous_cyst float Sebaceous Cyst
++sebaceousnevus float Sebaceousnevus
++seborrheic_dermatitis float Seborrheic Dermatitis
++seborrheic_keratosis float Seborrheic Keratosis
++skin_tag float Skin Tag
++stasis_dermatitis float Stasis Dermatitis
++syringoma float Syringoma
++tinea_capitis float Tinea Capitis
++tinea_corporis float Tinea Corporis
++tinea_cruris float Tinea Cruris
++tinea_manuum float Tinea Manuum
++tinea_pedis float Tinea Pedis
++tinea_unguium float Tinea Unguium
++tinea_versicolor float Tinea Versicolor
++urticaria float Urticaria
++urticaria_papular float Urticaria Papular
++varicella float Varicella
++verruca_plana float Verruca Plana
++verruca_vulgaris float Verruca Vulgaris
++vitiligo float Vitiligo


                                                                            
POST https://zylalabs.com/api/4440/detect+skin+disease+api/5453/detect+skin+disease
                                                                            
                                                                        

Detect Skin Disease - Endpoint Features

Object Description
Request Body [Required] File Binary
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"data":{"image_quality":70.0645,"body_part":"unknown","results_english":{"actinic_keratosis":0.1105,"acne":0.093,"herpes":0.7007},"image_type":"skin_lesion"},"error_code":0,"error_detail":{"status_code":200,"code":"","code_message":"","message":""},"log_id":"D67EA240-5B53-52F1-85BB-94F4349BCD8C","request_id":"D67EA240-5B53-52F1-85BB-94F4349BCD8C"}
                                                                                                                                                                                                                    
                                                                                                    

Detect Skin Disease - CODE SNIPPETS


    curl --location 'https://zylalabs.com/api/4440/detect+skin+disease+api/5453/detect+skin+disease' \
    --header 'Content-Type: application/json' \ 
    --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 Detect Skin Disease 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.

Simple Transparent Pricing

No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.

๐Ÿš€ Enterprise

Starts at
$ 10,000/Year


  • Custom Volume
  • Custom Rate Limit
  • Specialized Customer Support
  • Real-Time API Monitoring

Customer favorite features

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  • โœ”๏ธŽ Intuitive Dashboard
  • โœ”๏ธŽ Comprehensive Error Handling
  • โœ”๏ธŽ Developer-Friendly Docs
  • โœ”๏ธŽ Postman Integration
  • โœ”๏ธŽ Secure HTTPS Connections
  • โœ”๏ธŽ Reliable Uptime

Detect Skin Disease API FAQs

The Detect Skin Disease API leverages advanced machine learning algorithms to classify and predict various skin diseases from natural skin images. Ideal for telemedicine, dermatology applications, and health platforms, this API offers a powerful tool for early detection and diagnosis. By analyzing input images, the API can identify and categorize a wide range of skin conditions, providing healthcare professionals and users with valuable insights into skin health. Enhance your medical applications, improve diagnostic accuracy, and streamline patient care with our high-performance, scalable, and easy-to-integrate API.

Medical Diagnosis: Assisting dermatologists and healthcare professionals in identifying and diagnosing various skin conditions. Telemedicine: Enabling remote consultations by allowing patients to upload images of skin abnormalities for analysis by medical professionals. Healthcare Apps: Integrating skin disease detection features into mobile health apps for self-assessment and early detection. Cosmetics Industry: Developing skincare products targeted towards specific skin conditions based on analysis of user skin images. Preventive Care: Facilitating early detection and intervention for skin diseases, leading to better outcomes and reduced healthcare costs.

Accuracy: Utilizes advanced algorithms to accurately identify and classify different skin diseases, aiding in precise diagnosis. Scalability: Can analyze large volumes of skin images efficiently, making it suitable for widespread use in telemedicine and public health initiatives. Cost-Effectiveness: Offers a cost-effective solution for skin disease detection compared to traditional methods such as biopsies or in-person consultations. Educational Resources: Provides educational resources and information about skin diseases, empowering individuals to take proactive steps towards their skin health.

Yes, we do have more detailed [API documentation](https://www.ailabtools.com/doc/ai-portrait/analysis/skin-disease-detection/api-marketplace) available. You can access it on our website or by contacting our support team for assistance.

Dermatologists and Healthcare Professionals: Professionals who specialize in diagnosing and treating skin conditions, seeking advanced tools to aid in accurate diagnosis. Patients and Caregivers: Individuals concerned about their skin health or that of their loved ones, seeking reliable and accessible tools for early detection and monitoring of skin diseases. Health-Tech Developers and Entrepreneurs: Innovators in the healthcare technology sector who are developing solutions for remote diagnosis, telemedicine, and personalized healthcare services.

The API returns a structured response containing information about the analyzed skin image, including the body part examined, image quality score, image type, and predicted skin disease classifications with associated probabilities.

Key fields include `body_part` (location of the lesion), `image_quality` (score indicating clarity), `image_type` (classification of the image), and `results_english` (predicted diseases with their probabilities).

The response is structured as a JSON object with fields for request metadata, error details, and a `data` object that contains the analysis results, including disease predictions and image assessment metrics.

The primary parameter is `image`, which must be a file in JPG or PNG format, with a maximum size of 20 MB and resolution under 1280x1280px. No additional parameters are required for the request.

Users can analyze the `results_english` object to identify potential skin diseases and their probabilities, allowing healthcare professionals to prioritize further examination or treatment based on the likelihood of each condition.

The API employs advanced machine learning algorithms trained on diverse datasets of skin images, ensuring high accuracy in disease classification. Continuous updates and model training help maintain data quality.

Typical use cases include assisting dermatologists in diagnosing skin conditions, enabling telemedicine consultations, and integrating skin disease detection into health apps for user self-assessment.

Users should check the `error_code` and `error_msg` fields for any issues during processing. If results are empty, it may indicate an invalid image or a lack of detectable conditions, prompting users to review their input.

General FAQs

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When you subscribe to an API free trial, you can make up to 50 API calls. If you wish to make additional API calls beyond this limit, the API will prompt you to perform an "Start Your Paid Plan." You can find the "Start Your Paid Plan" button in your profile under Subscription -> Choose the API you are subscribed to -> Pricing tab.

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