AI image recognition: tag product images automatically
OnFinds automatically recognizes what's shown in your product images – and turns it into tags and attributes. That makes products findable even when titles or descriptions are thin. AI Visual Tagging is included in the Ultra plan.
Your search only knows what's in your product data — not what's in the picture.
Great products that nobody finds
In many shops, product data is incomplete – color, material, or intended use are missing or only visible in the image. Yet these are exactly the details your customers need to filter and find products. Tagging thousands of images by hand takes time that's rarely available in day-to-day business.
- Missing attributes mean missing filters
- Products get lost in search
- Manual data maintenance doesn't scale with your catalog
From image to attribute in four steps
1 · Analyze the image
The AI examines every product image and recognizes object, color, material, and shape.
2 · Understand the context
Beyond pure recognition, the AI understands what a product is for – "hiking boot" instead of just "shoe".
3 · Spot the use case
The AI identifies what a product is suited for – such as occasion, use case, or target audience – and makes it findable through those aspects.
4 · Generate tags
The analysis automatically produces tags and attributes that feed into search and filters.
What's in it for you
Better findability
Products are found through what's shown in the image – even when text data is patchy.
Meaningful filters
Automatically generated attributes fill your filters without you maintaining every product by hand.
Less manual work
Tagging runs automatically – especially noticeable with large catalogs.
Consistent data
The AI assigns tags to a consistent standard, no matter who created the item.
One provider, one flat rate – no billing based on search volume.
Real-world examples
Where descriptions fall short, the AI adds the decisive attributes straight from the image.
- Fashion & textiles: color, pattern, cut, and fabric
- Furniture & living: style, shape, and the look and feel of materials
- Sports & outdoor: intended use such as running, hiking, or cycling
- Large catalogs: tagging that would be nearly impossible by hand
Frequently asked questions about AI image recognition
Do I need to prepare my product data first?
No. The AI works with your existing product images and enriches your data.
Does AI Visual Tagging replace my existing attributes?
No. The generated tags are added on top of your existing data and complement it.
Does it work with JTL-Shop and Shopware?
Yes. AI Visual Tagging is part of OnFinds and runs in both systems.
Which images work best?
Your regular product images. The more clearly the product is visible, the more accurate the tags.
Is the recognition always correct?
The AI recognizes common product attributes reliably, but not flawlessly. It generates suggestions that complement your existing data – you stay in control.
How the OnFinds AI works together
The OnFinds AI features work hand in hand: AI Vector Search understands the search query, AI Visual Tagging understands your products, and AI Synonym Boosting covers every choice of words – together more than the sum of their parts.
- AI Vector Search – understands the search intent behind descriptive queries.
- AI Synonym Boosting – creates synonyms automatically in every language of your shop.
Make more products findable – automatically
See which attributes the AI generates from your product images. At a flat rate, with no ongoing extra costs.
No credit card required. Free 30-day trial.
