VTON API vs Zyler: Virtual Try-On for Fashion E-Commerce

When comparing a VTON API vs Zyler, the fundamental difference is access model. Zyler is a B2B SaaS platform with enterprise-only pricing — you must contact their sales team to get started. PixelAPI is a developer-first REST API with $0.025 per try-on image, transparent pricing, and instant access. POST a garment image and a person image, get back a composited try-on JPEG in under 30 seconds. 500 free credits, no credit card.

Quick start — virtual try-on in one API call

Sign up, copy your API key from the dashboard, and POST two base64-encoded images. The endpoint returns a job ID. Poll GET /v1/virtual-tryon/jobs/{id} until status=completed, then download the try-on image from result_image_b64 or output_url.

# Step 1: Submit try-on job
curl -X POST https://api.pixelapi.dev/v1/virtual-tryon \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d "{
    \"garment_image\": \"$(base64 -w0 garment.jpg)\",
    \"person_image\": \"$(base64 -w0 model.jpg)\",
    \"category\": \"upperbody\"
  }"
# Response: {"job_id": "uuid", "status": "queued", "eta_seconds": 30, ...}

# Step 2: Poll until completed
curl https://api.pixelapi.dev/v1/virtual-tryon/jobs/UUID \
  -H "Authorization: Bearer YOUR_API_KEY"
# Response: {"status": "completed", "result_image_b64": "...base64...", "output_url": "https://..."}

pip install pixelapi
---
from pixelapi import PixelAPI

client = PixelAPI(api_key="YOUR_API_KEY")
result = client.virtual_tryon(
    garment_image="garment.jpg",
    person_image="model.jpg",
    category="upperbody"   # upperbody | lowerbody | dress
)
result.save("tryon_result.jpg")

npm install pixelapi
---
import { PixelAPI } from "pixelapi";

const client = new PixelAPI({ apiKey: process.env.PIXELAPI_KEY });
const result = await client.virtualTryOn({
  garmentImage: "./garment.jpg",
  personImage: "./model.jpg",
  category: "upperbody",   // upperbody | lowerbody | dress
});
await result.save("tryon_result.jpg");

composer require pixelapi/pixelapi
---
<?php
use PixelAPI\Client;

$client = new Client(getenv("PIXELAPI_KEY"));
$result = $client->virtualTryOn([
    "garment_image" => "garment.jpg",
    "person_image"  => "model.jpg",
    "category"      => "upperbody",
]);
file_put_contents("tryon_result.jpg", $result->getBody());

gem install pixelapi
---
require "pixelapi"

client = PixelAPI::Client.new(api_key: ENV["PIXELAPI_KEY"])
result = client.virtual_tryon(
  garment_image: "garment.jpg",
  person_image:  "model.jpg",
  category:      "upperbody"
)
File.binwrite("tryon_result.jpg", result.body)

go get github.com/pixelapi/pixelapi-go
---
import "github.com/pixelapi/pixelapi-go"

client := pixelapi.New("YOUR_API_KEY")
result, err := client.VirtualTryOn(pixelapi.VTONRequest{
    GarmentImage: "garment.jpg",
    PersonImage:  "model.jpg",
    Category:     "upperbody",
})
if err != nil { panic(err) }
result.Save("tryon_result.jpg")

VTON API vs Zyler — pricing comparison

Zyler is a white-label SaaS with no publicly listed per-image API cost. PixelAPI publishes a flat per-image rate and lets any developer sign up instantly. The table below compares every virtual try-on provider with public pricing.

FASHN AI pricing verified from help.fashn.ai/plans-and-pricing/api-pricing (May 2026). Zyler, Veesual, Cala, and Outfit.ai do not publish per-image API pricing — see each provider's website for a quote. PixelAPI's per-image price is set at exactly half the cheapest publicly listed volume tier of any rival, per our pricing principle.

What you get back

Common workflows

The Virtual Try-On API powers these production workflows. Each links to a detailed setup guide:

Integrations

Comparison vs alternatives

Request and response format

The API accepts JSON with base64-encoded images. Both the garment image and person image must be base64-encoded JPEG, PNG, or WebP, up to 10 MB each. The response is also JSON and includes the try-on result as a base64 image (result_image_b64) and, for larger results, a time-limited download URL (output_url).

Rate limits & error handling

Free tier: 10 requests per minute. Paid tiers: up to 600 requests per minute. Exceeding the limit returns HTTP 429 with a Retry-After header in seconds. Recommended: exponential backoff starting at 2 s, doubling on each retry up to 30 s. The Python and Node.js SDKs handle 429 retries automatically.

# Python SDK auto-retries 429 with backoff
from pixelapi import PixelAPI
client = PixelAPI(api_key="...", max_retries=4)
result = client.virtual_tryon(
    garment_image="garment.jpg",
    person_image="model.jpg",
    category="upperbody",
)  # auto-retries on 429, auto-refunds on failure

If a job returns status=failed, credits for that job are automatically refunded. No manual support ticket needed. For persistent failures, check that both input images are valid JPEG/PNG/WebP, clearly show the person in a neutral pose, and that the garment is photographed against a clean background for best results.

Why choose PixelAPI over Zyler for virtual try-on

Zyler (now rebranded to Bridely for bridal e-commerce) positions itself as a B2B digital dressing room platform for large fashion retailers. It is not a self-serve developer API — integration requires a sales conversation, a setup contract, and a four-week onboarding timeline. There is no published per-image rate.

PixelAPI is the opposite: sign up, get 500 free credits, integrate in 10 minutes. The VTON API is a single POST endpoint that accepts any garment and any person photo and returns a photorealistic try-on image. No sales call, no minimum commitment, no black-box pricing. Pay $0.025 per image after your free tier — or nothing if your volume fits within the free credits.

For indie developers, Shopify app builders, and fast-moving fashion startups, PixelAPI is the practical choice when comparing a VTON API vs Zyler.

Frequently asked questions