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Overview

The Virtual TryOn API provides developers with the capability to integrate our try-on model directly into their applications. Built on a RESTful architecture, it currently supports only HTTP endpoints.

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Base URL

The base URL for the Virtual TryOn API is: 
https:/<API-Host>/vton/request
Go to the API reference

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Authentication

Access to the Virtual TryOn API is secured through the use of API keys.

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API Key Usage

Include your API key in the request headers: 
Authorization: Bearer YOUR_API_KEY

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Error Handling

The API uses conventional HTTP response codes to indicate success or failure:
CodeDescription
200Success - Request completed successfully
400Bad Request - Invalid parameters or missing data
401Unauthorized - Invalid or missing API key

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API Parameters Guide

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Model Image

image URL | base64 model-image refers to the source image of the individual on whom the virtual try-on will be applied. This image can be submitted either as a publicly accessible URL or a base64-encoded string. Model Image Example

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Garment Image

image URL | base64 garment-image is the visual representation of the clothing item intended for virtual try-on with the model-image. You can provide this input either as a direct image URL or as a base64-encoded string. Garment Image Example Virtual Tryon accepts multiple garment photo formats including flat-lay, ghost mannequin, or model-worn images. Garment Fit Examples

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Category

string category identifies the type of garment present in the garment-image. This guides the virtual try-on engine in selecting the appropriate region to apply the clothing. For images with multiple items (e.g., top and bottom), use this to prioritize the desired garment. Default: auto — automatically infers the garment type.
ValueDescription
autoAutomatically determines the garment category
topsShirts, blouses, t-shirts
bottomsPants, jeans, skirts
one-piecesDresses, jumpsuits
Garment Photography Quality Spectrum

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Mode

string mode determines the balance between processing speed and output quality.
ModeDescription
performanceOptimized for speed; fastest response time (~2-3s)
balancedA compromise between speed and quality (~3-5s)
qualityPrioritizes high-quality results; takes longer to process (~5-8s)

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Moderation Level

‘conservative’ | ‘permissive’ | ‘none’ moderation_level controls how strictly the API filters garment images for content sensitivity. The default is permissive.
  • conservative: Filters out revealing garments. Recommended for modesty-sensitive use cases.
  • permissive: Allows most garments including swimwear and underwear, while rejecting explicit nudity.
  • none: Disables all content filtering. Use with caution.

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Segmentation Free

boolean segmentation_free controls whether the system skips explicit garment segmentation.
  • true: Enables direct garment fitting without isolating clothing.
  • false: Enforces clothing segmentation. Use if artifacts from the original garments interfere with results.

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Output Format

‘png’ | ‘jpeg’ output_format defines the desired image format for the generated try-on result.
  • png: High-quality output with no compression loss.
  • jpeg: Faster response with mild compression. Better for real-time use.