Let shoppers search with what they see.
A photo, a product card or an inspiration image becomes the way into your catalogue. Nine tools, all powered by your product feed: eight from one script tag, one inside your assistant.
Nine tools, one product feed.
The tools, up close.
Image search
Shoppers upload a photo or use the camera. Koral detects the main product, and text refines the result: “in black”, “under €50”.
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See similar
One small button on any product card or gallery image opens visually similar products from your catalogue.
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Related products
The closest visual matches to the product in view, as a row on the product page.
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Discovery on content
A button on content and editorial images lets shoppers start their search from inspiration.
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Detail view
Gallery, colour variants, sizes and description inside the widget, so shoppers go deeper without leaving it.
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Shop similar look
On model images in the gallery, Koral finds the whole look, piece by piece.
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Shop the look
Campaign and content images made shoppable: shoppers tap a product in the image and buy it.
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Similar in the same size
When a size is sold out, a button shows similar products in stock in that size.
Read more →Measured by a Nordic department store over six months.
Conversion in sessions using See similar, 5× the site average of 1.6%.
Higher conversion than the site’s other product carousels (8.0% vs 5.6%).
More revenue per session than the incumbent AI recommender, in a 246K-user A/B test.
Implementation: this is all it takes.
No model to train, no tagging, no CMS work. The product feed is the only input; the rest is one script tag.
<!-- one tag, via GTM or the template --> <script src="https://script.koral.nu/dist/index.js?searchId=YOUR_SEARCH_ID&similar=true"></script>
Widgets are included and take your colours, radius and language. Or render your own components on the same data.
Feed connected
CSV, JSON or your platform feed. Koral indexes every image, in any language and any category.
Tag added
Add the tag through GTM or your template. The widgets come with it, in your colours and language.
Live and measured
Pilot on one category, A/B-split, with events in your analytics. Then roll out market by market.
Good to know.
- Whole catalogue
- Koral reads the product images, so it works for new products and long-tail items from the day they enter the feed.
- Performance
- Sub-second search responses. The tag loads asynchronously after the page, so it doesn’t hold up page load.
- Design
- Widgets take your colours, radius and language, or your team renders its own components on the same data.
- Markets & languages
- Runs on images and the feed, so every market and language in the catalogue works with no per-language setup.
- Analytics
- Views, clicks, add-to-carts and conversions as events in GA or your own stack. Every pilot has an agreed KPI.
- Control
- A rules engine for what shows where: categories, price bands, stock, margins and brand exclusions.
Security and data.
- Nothing is kept
- Koral keeps nothing from shoppers. Photos and data are used for the request and not stored.
- Processed in the EU
- The script is served from a global CDN; requests are processed in the EU.
- Uptime
- 99.9% uptime SLA.
- Data processing agreement
- A data processing agreement (DPA) comes with every contract.
- Your product data
- Product data stays yours; nothing is trained on it.
Questions about data processing? Write to hello@koral.nu. Privacy policy →
Frequently asked questions.
Visual search lets shoppers find products with an image instead of text. They upload a photo or screenshot, or use the camera, and get matching products from your catalogue.
Text search depends on the words a shopper knows. Visual search reads the image itself, including colour, shape, pattern and style, so shoppers can find a product they cannot describe.
Yes. The same engine serves web and app, and it can also be added to an AI shopping assistant through our MCP integration.
See Koral on your own catalogue.
Start with a free demo page on your own catalogue, then a one-month pilot at 50% off list prices. All we need is a product feed. Tell us a little about your store. We answer fast.
Thanks — we'll be in touch.
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Prefer email? hello@koral.nu