AI Visualiser

AI Visualiser is a Xada product. It turns any product page into a preview: the buyer uploads a logo, artwork, text, or a pattern, chooses a colour and a decoration method, and sees that product as it would actually look.

The job is buying intent. Promo websites are full of blank products. A realistic mockup on the same page is the difference between browsing and sending a quote.

• Open any product page and start the visualiser.
• Upload a logo, artwork, text, or pattern, pick a product colour, and choose a decoration method.
• Generate a photoreal preview on that product, then download, share, or attach it to a quote or order.

It is built for the whole catalogue, not a handful of hero SKUs. The same flow works on any product: headwear, drinkware, hoodies, technology, and the rest. Decoration methods match how those products are actually printed, engraved, or pressed, including full colour, pad print, laser engraving, and screen printing.

I built this one from the ground up at AB Web Developers, full stack: the mockup generator SDK, the AI generation service, the database, the storefront integration, the client portals, and the infrastructure it runs on.

• Mocky, our own QA agent: every downvote feeds back into generation, so mockup quality improves the more the product is used. That loop is the heart of the product.
• The mockup generator SDK: the library that places any decoration on a product, shared by the storefront flow and the admin.
• AI image generation and the integrations around it, tuned per decoration method rather than one template per SKU.
• PostgreSQL schema and data layer behind products, decorations, generations, and feedback.
• BigCommerce theme integration so the visualiser runs inside the live product page, without credentials in public theme code.
• Client login portals, so a single product can be operated for multiple distributors.
• CI/CD and infrastructure on AWS: EC2, S3 buckets, and backups.