AI Shoes Virtual Try-On

Overview

Step into the future of shopping with our AR Shoes Virtual Try-On. Instantly see how your favourite styles look and fit right from your screen. Powered by cutting-edge AI technology, this experience delivers a perfect visual fit, helping you shop with confidence and reduce returns. Explore endless styles and colours from the comfort of home. Our high-fidelity AR simulation brings every detail to life so you can enjoy the thrill of an in-store experience anytime, anywhere. Try it today and find the perfect pair that matches your style.

Integration Guide

This guide walks you through:

Endpoint: /s2s/v2.0/task/shoes
Authentication: All requests require an Authorization: Bearer YOUR_API_KEY
Workflow:
1. Prepare a selfie image: Uploading an image or providing a valid image URL of yourself as the virtual try-on target.
2. Prepare a shoes image: Upload a shoe product image or a photo of a person wearing shoes.
3. Select a style and a gender: Select a preferred style and the gender you wish to visualize.
4. Fire an AI task and Retrieve Task ID: Capture the task_id from the response.
5. Poll Status (GET): Use the task_id to check the status of the task. Continue polling until task_status is "success" or "error".

Authentication

Include your API key in the request header using Bearer Token:

Authorization: Bearer YOUR_API_KEY

You can find your API Key at https://yce.makeupar.com/api-console/en/api-keys/.

AI Shoes API Usage Guide

This guide explains how to upload images, prepare reference shoes, and create virtual try-on tasks using the AI Shoes API.

Step 1. Prepare a Selfie Image

You can:

Upload a selfie image using the File API (/s2s/v2.0/file), or
Provide a valid image URL.
- Step 1.1 Upload a File Using the File API

Use the File API (/s2s/v2.0/file) to upload a target user image.

Image Requirements:

Upload a selfie photo.
Ensure the photo clearly shows the upper body.
Avoid backgrounds with multiple people or distracting objects.

Example Request:

curl --request POST \
  --url https://yce-api-01.makeupar.com/s2s/v2.0/file \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'content-type: application/json' \
  --data '{
    "files": [
      {
        "content_type": "image/jpg",
        "file_name": "selfie_photo_01_3dbd1b6683.jpg",
        "file_size": 547541
      }
    ]
  }'

Step 1.2. Retrieve File API Response

The response includes:

file_id for creating an AI task.
requests.url for uploading the actual image file.

Sample Response:

{
  "status": 200,
  "data": {
    "files": [
      {
        "content_type": "image/jpg",
        "file_name": "selfie_photo_01_3dbd1b6683.jpg",
        "file_id": "SaGaqpDgKwFrVBgMpQMA3HY0LeqdT9/13W5TOD8/u/FfjK3xgCQ+hRt9MJXBFaud",
        "requests": [
          {
            "method": "PUT",
            "url": "https://yce-us.s3-accelerate.amazonaws.com/demo/ttl30/...signature...",
            "headers": {
              "Content-Length": "547541",
              "Content-Type": "image/jpg"
            }
          }
        ]
      }
    ]
  }
}

Step 1.3. Upload Image to Provided URL

Use the requests.url from the File API response to upload the image:

curl --location --request PUT 'https://yce-us.s3-accelerate.amazonaws.com/demo/ttl30/...signature...' \
  --header 'Content-Type: image/jpg' \
  --header 'Content-Length: 547541' \
  --data-binary @'./selfie_photo_01_3dbd1b6683.jpg'

Step 2. Prepare a Reference Shoes Image

You can:

Upload a shoe image using the File API (/s2s/v2.0/file), or
Provide a valid image URL.

Supported Shoes Images:

A shoe product image.
A photo of a person wearing shoes.

Refer to File Specs and Errors for detailed specifications.

Step 3. Create an AI Task

Select a preferred style and the gender you wish to visualize. Use the AI Task API (/s2s/v2.0/task/shoes) to create a virtual try-on task.

Parameters:

For the user image: src_file_id or src_file_url.
For the shoes image: ref_file_id, or ref_file_url.

Example Request:

curl --request POST \
  --url https://yce-api-01.makeupar.com/s2s/v2.0/task/shoes \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'content-type: application/json' \
  --data '{
    "src_file_url": "https://example.com/selfie.jpg",
    "ref_file_url": "https://example.com/accessory.jpg",
    "gender": "female",
    "style": "random"
}'

Sample Response:

{
  "status": 200,
  "data": {
    "task_id": "SaGaqpDgKwFrVBgMpQMA3HY0LeqdT9_13W5TOD8_u_GPi6NqQ3dhlmN-6ntFwhzT"
  }
}

Step 4. Poll for Task Result

Use the task ID to check the status:

curl --request GET \
  --url https://yce-api-01.makeupar.com/s2s/v2.0/task/shoes/SaGaqpDgKwFrVBgMpQMA3HY0LeqdT9_13W5TOD8_u_GPi6NqQ3dhlmN-6ntFwhzT \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'content-type: application/json'

Step 5. Retrieve Result

A successful response includes a download URL for the result image:

{
  "status": 200,
  "data": {
    "error": null,
    "results": {
      "url": "https://yce-us.s3-accelerate.amazonaws.com/demo/ttl30/...signature..."
    },
    "task_status": "success"
  }
}

Invalid API Key error response:

{
  "status": 401,
  "error": "Unauthorized",
  "error_code": "InvalidAccessToken"
}

File Specs & Errors

AI Shoes Virtual Try-On Specification
- Image Requirements

Type	Minimum Resolution	Notes
Selfie	512 × 512	Face visible, head-to-chest preferred
Shoes	512 × 512 (product) 800 × 800 (worn)	Clear, unobstructed shoes view

Supported Shoes Image

Product Image Requirements
- Minimum resolution: 512 × 512 pixels
- Only one product per image
- The product should cover more than 25% of the image height

Worn Image Requirements
- Minimum resolution: 800 × 800 pixels
- Single Item Requirement: The model must wear exactly one item. Multiple items or accessories are not permitted.
- Coverage Ratio: The worn item must occupy more than 20% of the total image height. This ensures the item is clearly visible and prominent within the frame.

Supported Selfie View

Recommended image resolution: at least 512 × 512 pixels.
Recommended face coverage: more than 15% of the image height.
Single Subject Requirement: The image must contain exactly one human subject. No additional people or partial figures are allowed.
Face Visibility: The subject's face must be fully visible without obstruction. Hair, accessories, or objects should not cover key facial features.
Framing: The image must include at least a head shot, covering the area from the top of the head to the chest. A half-body shot (head to waist) is preferred for optimal analysis.

Try-on Styles

There are five predefined styles for generating the virtual try-on output: "style_minimalist" "style_bohemian" "style_cottagecore" "style_french_elegance" and "style_retro_fashion". You can specify this style parameter when creating an AI task or allow the system to select a style at random by default.

style_bohemian

Supported Formats & Dimensions

AI Feature	Supported Dimensions	Supported File Size	Supported Formats
AI Shoes Virtual Try-On	Input: long side <= 4096 Output: 1008 x 1344	< 10MB	jpg/jpeg/png/heic

Error Codes

Error Code	Description
error_download_image	Failed to download source or reference image
error_inference	Inference pipeline error
error_no_face	No face detected in source image
error_nsfw_content_detected	NSFW content detected in result
exceed_max_filesize	File size exceeds 10 MB
invalid_parameter	Invalid gender or style value
unknown_internal_error	Other internal errors

Environment & Dependency

Sample Code Language / Tool	Recommended Runtime Versions
cURL	- bash >= 3.2 - curl >= 7.58 (modern TLS/HTTP support) - jquery >= 1.6 (robust JSON parsing)
Node.js (JavaScript)	Node >= 18 (for global fetch)
JavaScript	- Chrome / Edge >= 80 - Firefox >= 74 - Safari >= 13.1
PHP	PHP >= 7.4 (for modern TLS/compat), ext-curl (recommended) or allow_url_fopen=On + ext-openssl, ext-json
Python	Python >= 3.10 (for f-strings), requests >= 2.20.0
Java	Java 11+ (for HttpClient), Jackson Databind >= 2.12.0

Unit Consumption

AI Feature	Unit Consumed
AI Shoes Virtual Try-On V2.0	2

Download OpenAPI description

ai_shoes.json

ai_shoes.yaml

Overview

E-mail

YouCamOnlineEditor_API@perfectcorp.com

License

Languages

Servers

https://yce-api-01.makeupar.com