Do You Need Both Virtual Try-On and a Size Recommender?

Most clothing stores get the most from virtual try-on and a size recommender together, because they answer two different questions. Try-on shows the shopper how a garment looks on them, while a size recommender tells them which size to order.

If you only sell one kind of product, one tool may be enough. This guide helps you decide, and it builds on our overview of virtual fitting rooms for clothing websites, which covers how the technology works and what it costs.

What does each tool actually answer?

A shopper on a product page usually has two doubts before they buy:

1. "Will this suit me?" This is about color, cut, length and style on their own body.
2. "Which size do I order?" This is about how the garment's measurements line up with theirs.

Virtual try-on handles the first doubt. The shopper uploads a photo and sees your real garment on their body. A size recommender handles the second. It takes some body information and matches it against your size chart.

Neither tool fully covers the other's job. A try-on image can show that a dress length looks right, but it can't promise the waist will close. A size label can say "M", but it can't show whether the color works with the shopper's skin tone.

When is virtual try-on alone enough?

Try-on on its own works well when size is not the main worry. That usually means products where fit is forgiving or fixed:

• Scarves, hijabs and wraps, where one size fits most people.
• Oversized or relaxed pieces, where a size up or down still looks intended.
• Eyewear, where the question is how frames look on the face. ZeDaq.ai offers live-camera eyewear try-on for this.
• Accessories and statement pieces, where style is the whole decision.

If your catalog is mostly items like these, a size recommender adds little. Your size chart and a clear fit note will cover the few sizing questions you get.

When is a size recommender alone enough?

A size recommender on its own makes sense when shoppers already know how the product looks, but not how it fits. Common examples:

• Basics and repeat buys, such as plain tees, chinos or leggings, where the style is familiar.
• Fitted items with strict measurements, such as tailored trousers or shapewear, where a size off is the main risk.
• Stores where most shoppers are returning customers who know the brand's look but still switch between sizes.

Here, the question is almost always "which size", so a size tool does the heavy lifting. Our comparison of virtual try-on vs size charts goes deeper on what a chart does well on its own.

When do you need both?

You likely need both if your products are fitted and style-led at the same time. Dresses, jackets, formalwear, modest fashion and occasion wear are good examples. A shopper buying a fitted wedding-guest dress wants to see it on themselves and know the size before they spend.

Use this quick check for each product type you sell:

Product type	Main shopper doubt	Try-on helps?	Size tool helps?	Suggested setup
Scarves and wraps	Style	Yes	Rarely	Try-on only
Oversized hoodies	Style	Yes	A little	Try-on, size optional
Plain basics	Size	A little	Yes	Size tool only
Tailored trousers	Size	A little	Yes	Size tool first
Fitted dresses	Both	Yes	Yes	Both
Jackets and coats	Both	Yes	Yes	Both
Eyewear	Style	Yes (live camera)	No	Try-on only

This is an example framework, not data from any store. Adjust it based on what your own customer emails and return notes say.

Does running both make the product page harder to use?

It can, if the two tools sit in different places and ask for different things. A shopper who uploads a photo for try-on and then fills in a long form for sizing may give up halfway.

The simplest setup puts both tools in one window and reuses the same photo. That is how ZeDaq.ai handles it:

1. The shopper taps Try it on and uploads one full-length photo.
2. They see your garment rendered on their body.
3. They tap Find my size and type their height.
4. The scan measures them on their own device and matches the result to your size chart.

There is one button on the product page, one photo and one extra field. If the shopper falls between two sizes, the tool picks the roomier one and says so.

How does the size recommender use your own size chart?

A size suggestion is only as good as the chart behind it. With ZeDaq.ai, you enter your own size guide, one chart per garment type: tops, outerwear, dresses and bottoms. The scan then returns your store's own size labels, not a generic "M" that may not match your brand.

If you haven't added a chart for a garment type yet, the tool falls back to a standard UK, US, EU or AU chart. That works for testing, but your own chart gives shoppers a size that matches how your clothes are cut.

Before you switch sizing on, check that your chart:

• uses body measurements, not flat garment widths
• has ranges that meet, with no gaps between sizes
• has a separate chart for each garment type that fits differently

Does it matter which platform you sell on?

The decision is the same on any platform, but setup differs:

• Shopify: install the ZeDaq.ai Shopify app and add the button to your product page in the Theme Editor.
• WooCommerce, Wix, Squarespace or a custom site: paste one script tag into your product template. The key is locked to your store's domain.
• Your own app: use the REST API.

The script tag looks like this:

<script src="https://www.zedaq.ai/widget/zedaq.js" data-key="…" defer></script>

If you run WooCommerce and only want sizing for now, our guide to WooCommerce size recommendation options compares the main approaches.

What does it cost to run both?

On ZeDaq.ai, try-on and sizing come in the same plan, so you don't pay for two separate apps. Each plan includes a monthly number of try-ons and a separate number of measurements.

Plan	Price	Try-ons a month	Measurements a month
Free	$0	3	3
Micro	$14/mo	20	30
Starter	$49/mo	75	100
Growth	$129/mo	650	Unlimited
Scale	$299/mo	2,000	Unlimited

Every paid plan has a 3-day free trial with no card required. Check the live ZeDaq.ai pricing page for the current limits.

Some teams consider building both tools themselves. If that's on your mind, read build vs buy for virtual try-on before you commit developer time.

How should you roll out both tools?

Start small, so you can see which tool your shoppers actually use:

1. Pick three to five products that are both fitted and style-led, such as a dress, a jacket and a pair of trousers.
2. Add your size chart for each of those garment types.
3. Switch on try-on and sizing for those products only.
4. Test it yourself on your phone with a full-length photo and your real height.
5. Read your customer messages for a few weeks. Note whether questions shift from "which size?" to "what's the fabric like?"
6. Expand to the rest of your catalog, using the table above to decide which products need which tool.

If shoppers use try-on but rarely tap Find my size, your sizing questions may already be well covered by your chart. If the reverse happens, size is the bigger worry for your customers.

FAQs

Can a size recommender work without virtual try-on?

Yes. Sizing is a separate step. With ZeDaq.ai, the shopper still uploads one photo and types their height, but you don't have to promote the try-on image.

Does the shopper need two photos for try-on and sizing?

No. With ZeDaq.ai, the same full-length photo is used for both. Sizing adds only one field, the shopper's height.

Is the shopper's photo sent anywhere for sizing?

For sizing, the photo is measured on the shopper's device and only the measurements are sent. If they also run a try-on, the photo is sent to render the image.

What if my sizes run small?

Enter the real body measurements each size fits in your chart. The tool then matches shoppers to how your clothes are actually cut, not to a generic standard.