Apparel
Shoppers can't touch the fabric, so they need to see it worn.
For fashion brands & product teams
An AI video generator for clothing brands making try-on ads
Turn a clothing product link into AI try-on video ads. Review the garment photos, choose an available presenter and format, then edit the script before generating. Made for teams preparing ad creative, not shoppers checking their own size or fit.
- On-body visuals
- Script included
- Variants per market
AI-generated models and visuals. Review each clip before publishing.
Beyond listing photos
When try-on video ads make sense
Use generated on-body visuals to explore a product message or styling direction. They illustrate an idea; they do not establish real fit, comfort or fabric behavior. Keep those distinctions clear when reviewing a clothing ad.
Footwear
A shoe reads differently in motion than in a cutout.
Bags and accessories
Scale and proportion are hard to judge on a white background.
Multi-market testing
Same product, different model, language and hook, without a reshoot.
A clothing example
Compare the product reference with the generated ad
The AuraFlow athleisure top below is a sample from NovAd's demo library. The product reference and generated clothing ad belong to the same demo product; this is not a real customer's endorsement or a fit test.
Start with clear garment references
Choose sharp photos of the exact item and color you sell. Avoid cropped hems, hidden sleeves and images where another garment obscures the product.
Keep the brief specific
Select an available presenter and format. Use the listing to describe a supported feature; do not infer comfort, sizing or fabric performance from a generated movement.
Compare the garment frame by frame
Check the neckline, sleeves, hem, seams, color and printed details against the source. Do not publish a clip that changes the item, distorts a logo or invents a feature.
Two formats for clothing ads
Try-on formats worth testing
Available formats depend on the product; the creation flow shows which ones your link supports.
01 / The format
Try-on Talk
An AI presenter wears the item and explains selected product details. Use a reviewed script based on the listing, not a claim that the presenter personally wore or tested the garment.
02 / The format
Try-on Show
The garment carries the video: on-body shots and styling sequences with a lighter voiceover. Built for feeds where people scroll before they read.
One product, several clips
Keep the product the same and change the model, the outfit pairing or the opening hook. Test the versions against each other before you commit budget.
Your listing is the starting point
From product link to try-on clip
- 01
Paste the product link.
Supported sources include Amazon, Shopify, TikTok Shop and Shopee.
- 02
Check what the page read.
Selling points, price and product photos are pulled in; correct anything that's off before the script is written.
- 03
Pick the model and the format.
Choose the presenter and whether the clip runs as Try-on Talk or Try-on Show.
- 04
Review the hook and script.
Edit them, set language and length, then generate the batch.
Ad creative, not a fitting room
AI try on clothes: ad creative or a virtual fitting room?
If you searched for AI try on clothes, these are two different tools, and it's worth being clear about which one you need.
A virtual try-on app
A virtual try-on app takes a shopper's own photo and shows that person in the garment. It lives on the storefront, and the shopper is the user.
NovAd try-on ad creative
NovAd produces try-on ad creative for the team selling the item. The clip goes into a campaign - Meta, TikTok, a product page - and the audience is whoever the ad targets. You don't upload a customer photo, and the model in the video is generated, not a real shopper.
This workflow creates ads for the team selling the garment. It does not design clothing, replace outfits in an existing video, or provide a shopper-facing size and fit prediction.
A different production rhythm
What changes when the clip comes from a link
Explore a direction before booking a shoot.
Generate a draft for a suitable product message. Keep real filming for exact fabric movement, physical tests and genuine customer experience.
Versions instead of one hero cut.
Different model, hook and language from the same product link.
Review against the original product.
The listing supplies the brief, not a guarantee of visual accuracy. Compare the garment and claims with your source before approving each clip.
Before you generate
Try-on video ad questions
Explore supported links on the homepage or check batch sizes on the pricing page.
- Can I choose the model that wears the product?
- You pick from the presenters available for the format you selected. To compare presenters fairly, keep the product message and the script the same and only change the model.
- Does this work for shoes and bags, or only clothing?
- Eligible apparel, footwear, bags and accessories can use wearable formats when supported by the creation flow. Suitability depends on the product, references and available presenter scenes; do not assume every item or movement is supported.
- Are these real people wearing the real product?
- No. These are AI-generated try-on videos, not footage of a real model in the actual garment. Review the preview before publishing, and only quote genuine customer feedback when you're showing a review.
- Can I change the script, language and length?
- Yes - the hook and script are editable before you generate, and you set the language and video length per batch.
- Which product links are supported?
- Amazon, Shopify, TikTok Shop and Shopee links are supported today; the link types are listed on the homepage.
- How many versions can I generate?
- It depends on your plan - see the pricing page for the batch sizes each tier includes.