Custom AR Development vs Off-the-Shelf Try-On

Custom AR development makes sense when try-on is your core product and you have a team to maintain it; off-the-shelf try-on makes sense when you sell clothes and want shoppers using it this month. Most fashion stores sit in the second group, because the real cost of a custom build is the upkeep after launch, not the first invoice.

This guide breaks the decision into the costs you can actually estimate: people, time, maintenance and risk. If you are a developer weighing an API instead of a full build, the virtual try-on API guide for developers covers endpoints, keys and response formats in detail.

What do you actually get with custom AR development?

A custom build means you own the code. You decide how the try-on looks, which devices it supports and where the data goes.

That control comes with a long list of jobs. A typical custom try-on project needs:

• Computer vision work. Body or face tracking, pose estimation, and segmentation (separating the person from the background).
• Garment preparation. Each product needs to be modeled, photographed in a set way, or processed so the system can place it on a body.
• Rendering. Code that draws the garment on the shopper with believable folds, lighting and fit.
• Front-end integration. A button, a camera or upload flow, loading states and error handling on every product page.
• Infrastructure. Hosting, GPU capacity if you render on a server, monitoring and security reviews.

You can hire an agency for the first build, or hire AR developers in-house. Either way, someone has to own every item on that list after launch.

Why is custom AR development cost so hard to estimate?

Custom AR development cost is hard to pin down because most of it is ongoing, and it depends on choices you haven't made yet. Agencies quote per project, and those quotes vary widely with scope. We don't publish a price range here because no neutral, sourced benchmark exists for fashion try-on builds.

Instead, estimate it yourself with the inputs below. Fill in your own rates.

Cost line	What drives it	Who pays it
Discovery and design	Number of product types, devices, brand rules	One-off
Tracking and rendering build	Accuracy target, live camera vs photo upload	One-off
Garment onboarding	Number of SKUs and how often they change	Every new collection
Hosting and compute	Traffic, render time per request	Monthly
Maintenance	Browser and OS updates, model retraining, bug fixes	Monthly
Security and privacy reviews	Photos of shoppers count as personal data in many places	Yearly or per change

The row people forget is garment onboarding. A store that adds a new collection every few weeks pays that cost again and again.

What does off-the-shelf try-on give you instead?

Off-the-shelf try-on is a hosted product. The vendor maintains the models, the rendering and the infrastructure. You connect your store and pay a monthly plan.

With ZeDaq.ai, for example, there are three ways in:

1. Shopify app. Install from the Shopify App Store and switch on the app embed in your theme. The Shopify try-on setup steps walk through it.
2. Script-tag widget. Paste one script tag into the product template on WooCommerce, Wix, Squarespace, BigCommerce or a custom site. It adds "Try it on" and "Find my size" buttons.
3. REST API. Call POST /api/v1/tryon with an x-api-key header and build your own front end around the result.

The shopper uploads one photo and sees your real garment on their body. There is no garment modeling step, because the try-on works from your existing product images.

The trade-off is control. You can style the button and choose where it appears, but you don't own the model or decide how it renders.

How do the two options compare side by side?

Question	Custom AR build	Off-the-shelf try-on
Time to first shopper	Months, depending on scope	Days, often the same day
Upfront cost	Project fee or salaries	None on a free plan
Ongoing cost	Hosting plus a team to maintain it	Monthly plan
Garment onboarding	Per product, often manual	Uses existing product images
Control over look and data	Full	Limited to settings and your own front end
Who fixes breakages	You	The vendor
Lock-in risk	Your own code, but tied to your team	Tied to the vendor

Neither column is better in general. The right one depends on how central try-on is to your business.

When should you hire AR developers anyway?

A custom build is worth it in a few specific situations:

• Try-on is your product. If you are building an app where try-on is the main feature, you need to own it.
• You need a format no vendor offers. For example, a fully 3D avatar experience or a branded AR filter for a campaign.
• You have strict data rules. Some enterprises must keep every image inside their own cloud account.
• You already have a computer vision team. Then the marginal cost is lower and the skills stay in-house.

Social AR is a separate case. Filters on social apps reach people where they scroll, but they don't sit on your product page. The comparison of Snapchat AR versus on-site try-on explains where each one fits in a funnel.

How can you test before you commit?

Run a small, cheap test before you sign a statement of work. Here is a two-week method that works for most stores.

Step 1: Pick ten products

Choose ten products that drive questions about fit or look, such as dresses, jackets and fitted tops.

Step 2: Add a ready-made try-on to those pages

Use a free plan or trial. ZeDaq.ai's Free plan includes 3 try-ons and 3 measurements a month, which is enough to check quality on your own photos. Paid plans run Micro at $14/mo, Starter at $49/mo, Growth at $129/mo and Scale at $299/mo, each with a 3-day free trial and no card required.

Step 3: Write down what is missing

Note each thing you wish it did differently. Sort the list into "must have" and "nice to have".

Step 4: Price only the must-haves

Send that short list to agencies or developers. A quote for three missing features is easier to judge than a quote for a whole platform.

If your must-have list is empty, you have your answer. If it is long and central to your brand, a custom build or an agency may be justified. The guide to try-on agencies versus SaaS apps compares those two routes in more depth.

What questions should you ask before signing a custom AR contract?

Use this checklist in your first call with any agency or freelancer:

• Who owns the code and the trained models when the project ends?
• What happens when a new phone OS or browser version breaks the camera flow?
• How is a new garment added, and how long does it take per product?
• Where are shopper photos processed and stored, and for how long?
• What does monthly hosting cost at our current traffic, and at twice that traffic?
• Is maintenance included, and for how many months?
• Can we see a live site, not a demo video, using the same approach?

If an answer is vague, ask for it in writing. These questions protect you from the costs that arrive after launch.

Can you combine both approaches?

Yes, and many developers do. A middle path is to use a try-on API for the hard part, the rendering, and build your own front end around it.

With an API you control the button, the layout, the loading screen and where the result appears. The vendor keeps the model running. You get most of the brand control of a custom build with far less maintenance.

Start by reading the ZeDaq.ai API reference to see the request and response format, then build one product page as a prototype.

FAQs

Is off-the-shelf try-on the same as AR?

Not always. AR usually means a live camera overlay. Many clothing try-on products, including ZeDaq.ai's, work from one uploaded photo instead, while eyewear try-on uses a live camera.

Can I switch from an app to a custom build later?

Yes. Starting with a hosted product does not stop you from building later. It also gives you real shopper feedback to shape the spec.

Do I need a developer to use a try-on API?

Yes, for the API. If you don't have one, the Shopify app or the script-tag widget needs no custom code beyond pasting a tag.

Who owns shopper photos in an off-the-shelf tool?

Check each vendor's privacy policy and data processing terms. Ask where photos are processed, how long they are kept and whether they are used for anything else.