FASHN AI Alternatives for Fashion Stores

The best FASHN AI alternatives for fashion stores depend on where the try-on runs. If you want shoppers to try clothes on your product pages, look at a store-facing try-on tool such as ZeDaq.ai or Sizebay's try-on; if you want an AR face SDK for beauty or eyewear, look at Perfect Corp or Banuba.

ZeDaq.ai publishes this blog. Competitor details come only from each company's own public page, checked November 2026. For a broader list of store apps, see our comparison of Shopify try-on apps.

What does FASHN offer today?

FASHN is a fashion image platform with an API. Its homepage (checked November 2026) lists product photos, virtual try-on, AI models, fashion videos and editing tools. It says FASHN has "its own virtual try-on model."

The same page describes an Elements library of models, poses, backgrounds and clothing. It also mentions shared team workspaces, iOS and Android apps, and the FASHN API, which brings its "image, try-on, editing, and video tools into your own product."

How is FASHN priced?

FASHN's pricing page (checked November 2026) lists three app plans: Basic at $19/month with 200 monthly credits, Pro at $49/month and Agency at $99/month. Yearly billing lowers each price.

The API is sold on demand at $0.075 per credit, with a minimum purchase of $7.50 for 100 credits. The page says most tools start at one credit per image, but it doesn't state a separate per-image API price.

Why do stores look for FASHN alternatives?

FASHN is built around content creation. Many stores want something slightly different. These are the most common reasons:

• They want shoppers, not staff, to run the try-on. A shopper-facing widget sits on the product page and needs no design work from your team.
• They need a size as well as an image. A picture shows style. It doesn't tell the shopper which label to order.
• They don't want to build a front end. An API needs upload screens, loading states and error handling. A ready widget skips that work.
• They sell beauty or eyewear. Face AR tools work in real time through the camera, which suits glasses and makeup.

Which FASHN alternatives should you consider?

ZeDaq.ai: shopper try-on with sizing

ZeDaq.ai offers AI virtual try-on for fashion stores. The shopper uploads one photo and sees your real garment on their body. There is no avatar and no model library to manage.

You can connect it three ways:

1. Shopify app from the Shopify App Store.
2. REST API at POST /api/v1/tryon, with an x-api-key header. The full reference is in the API docs.
3. Script-tag widget for WooCommerce, Wix, Squarespace, BigCommerce and custom sites. Lock the key to your store's domain in Dashboard → API keys.

The widget adds two buttons: "Try it on" and "Find my size." The sizing uses a 30-second body scan from one photo plus height, matched to your own size chart.

Sizebay: try-on as part of a sizing suite

Sizebay's homepage (checked November 2026) lists a "Try-On + size recommendation" product, where customers try on looks with their own photo. Its clothing size advice uses height, weight and age.

It also offers shoe sizing, size charts and a Fashion Hub with visual search and outfit tools. The homepage doesn't list prices or name the store platforms it supports.

Perfect Corp: beauty-led AI and AR

Perfect Corp calls itself "No.1 AR Beauty Tech" on its homepage (checked November 2026). It offers an enterprise suite and an "AI & AR Plug-in Designed for SMB E-Commerce."

The page covers skin analysis, hair color and makeup try-on work with beauty brands. It also mentions a glasses feature for trying frames on. Clothing try-on isn't described on the homepage. Our guide to Perfect Corp alternatives covers it in more depth.

Banuba: face AR SDK for apps

Banuba's homepage (checked November 2026) lists a Face AR SDK for Windows, MacOS, iOS, Android, Web, Unity, Flutter and React Native. Its TINT try-on covers makeup and eyewear, plus headwear, jewelry and accessories.

Clothing isn't named on the homepage. Banuba suits teams building their own app who need real-time face tracking.

Revery.ai

Revery.ai is often compared with FASHN. Its website didn't load when we checked in November 2026, so we haven't listed its features here. Our Revery.ai alternatives guide covers the same buyer question from that side.

How do the FASHN alternatives compare?

Competitor details come from each linked homepage or pricing page, checked November 2026.

Tool	Main use	How you connect	Sizing included	Public price
FASHN	Product images, try-on, video	Web app, API, mobile apps	Not described	App from $19/mo; API $0.075/credit
ZeDaq.ai	Shopper try-on on product pages	Shopify app, REST API, script tag	Yes, photo plus height	Free to $299/mo
Sizebay	Size suite with photo try-on	Not named on homepage	Yes, height, weight and age	Not shown
Perfect Corp	Beauty AR and skin analysis	Enterprise suite or SMB plug-in	Not described	Not shown on homepage
Banuba	Face AR SDK	SDK for many platforms	Not described	Not shown on homepage

For a head-to-head view of the two generative try-on vendors, read FASHN AI vs Revery.ai.

Which alternative fits which kind of store?

Match the tool to who will use it and where. This short guide covers the most common cases.

• A small Shopify clothing store with no developer. Pick an app you can install and switch on in the Theme Editor. ZeDaq.ai's Shopify app fits here.
• A WooCommerce, Wix or custom store. A script tag avoids plugin work. ZeDaq.ai's widget goes into the product template, and the key stays locked to your domain.
• A brand with an in-house dev team. A REST API lets you design your own screens. Compare FASHN's API and ZeDaq.ai's API on your own garments.
• A studio making catalog images. A creation platform with models and poses fits better than a shopper widget. That is FASHN's main focus.
• An eyewear or beauty brand. A real-time face tool suits glasses and makeup. Look at Perfect Corp and Banuba, and note that ZeDaq.ai offers live-camera eyewear try-on.

Many stores end up using two tools: one for content their team creates, and one for try-on their shoppers run. That's a reasonable setup, as long as you budget for both.

What should developers check before choosing a try-on API?

Run the same tests on each API you shortlist. Use your own garments, not the vendor's demo images.

1. Send a flat-lay and an on-model photo. See which input each API accepts and how the result changes.
2. Try three body types. Check that fabric, length and drape look believable on each one.
3. Measure response time on mobile data. Most shoppers browse on phones, so test on a phone connection.
4. Read the error responses. A blurry or cropped photo should return a clear message you can show the shopper.
5. Check how keys are protected. A browser key should be restricted to your domain so it can't be reused elsewhere.
6. Ask about photo handling. Find out what is stored, for how long and where.

What does a ZeDaq.ai request look like?

Every call to the try-on endpoint carries your key in the x-api-key header:

POST /api/v1/tryon
x-api-key: YOUR_KEY

The API reference lists the fields, responses and widget setup. If you don't want to write a front end, the script tag gives you the same try-on with no extra code.

Do you also need size recommendation?

Often, yes. A try-on image answers "how will it look?" but not "which size should I order?" Shoppers who like the image still need a label.

A generative image tool won't usually solve that alone. You need either a size chart app or a sizing engine that reads measurements. Our explainer on AI size recommendation for stores shows how measurements become a size label.

With ZeDaq.ai, sizing runs from the same photo flow. The scan reads measurements, matches them to the chart you entered for that garment type, and sizes up to the largest relevant measurement when the shopper falls between sizes.

What does ZeDaq.ai cost?

ZeDaq.ai lists five plans on its pricing page:

Plan	Price	Notes
Free	$0	3 try-ons, 3 measurements and 5 invoices a month
Micro	$14/mo
Starter	$49/mo
Growth	$129/mo
Scale	$299/mo

Every paid plan has a 3-day free trial with no card required.

FAQs

Is FASHN a shopper-facing widget?

Its homepage presents it as a creation platform with an API, a web app and mobile apps. You can build a shopper flow on the API, but you'd write that front end yourself.

Which FASHN alternative needs no coding?

ZeDaq.ai's Shopify app and script-tag widget need no custom code. You paste one script tag into the product template on non-Shopify stores.

Can I use ZeDaq.ai's API from a mobile app?

The API is a REST endpoint, so any client that can send HTTPS requests can call it. Keep keys on your server or locked to a domain.

Does ZeDaq.ai offer AR clothing try-on?

No. Clothing try-on works from one uploaded photo. Live-camera try-on is offered for eyewear only.