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High-quality and accurate AI-powered product tagging
Extract key product tags from images with AI image recognition.
Automatically look up UPCs or EANs for complete and accurate tags.
Crawl the web or technical spec sheets to pull relevant tags.
Improved site search and discoverability
Label your products with industry-specific tags using industry-trained AI.
Optimize for Google Shopping with product tags of highly detailed attributes.
Build a more effective product taxonomy with better defined tags.
10x time and cost efficiency with AI automation
Cut out manual work with an AI-powered automated product tagging tool.
Reduce human error and increase accuracy with AI reinforcement learning.
Integrate with your PIM systems or any custom platforms.
Frequently Asked Questions About Automated Product Tagging Software
What is automated product tagging?
Automated product tagging uses AI to assign descriptive attributes like material, color, style and use case to every product in a catalog, from product images and existing product data. In Hypotenuse AI, tags follow your list of values, and the AI suggests new values for your team to approve. For the basics, read our guide to product tagging in ecommerce.
What is AI product tagging?
AI product tagging uses a model that reads product images and text to decide which tags apply. It picks up details no one wrote down, such as a spaghetti-strap top that should be tagged sleeveless.
What is an example of a product tag?
A product tag is a single attribute value on a product. A linen shirt might carry Color: White, Material: Linen, Sleeve length: Short sleeve and Occasion: Beach. Shoppers use tags through filters and search, and search engines read them to understand the product.
How does automated product tagging work?
You connect or upload your catalog and choose the attributes to tag. The AI reads each product's images and data, researches missing details on the web when needed, and maps every value to your list of values. Your team then reviews tags by confidence score and approves them in bulk. Tagging runs on the same engine as our product data enrichment.
Can automated product tagging handle large product catalogs?
Yes. Hypotenuse AI tags products in bulk, for catalogs from a few thousand SKUs to several million. Confidence scores keep your team's review focused on the tags that need a person.
Can I use my own tags and list of values?
Yes. The AI tags against your attributes, allowed values and formatting rules. When it finds a value that isn't on your list, it suggests the value for your team to approve, so your list stays under your control. Manage attributes and values with AI taxonomy automation.
Can automated product tagging handle multilingual catalogs?
Yes. Hypotenuse AI tags and localizes product data in over 40 languages, with vocabulary rules so key terms always translate the same way. See AI bulk translation.
How does product tagging improve site search and recommendations?
Site search and recommendation engines both rely on product attributes. When every product carries complete, consistent tags, shoppers get more relevant results and similar items surface together. AI product categorization adds the category each product belongs to, which decides which tags apply.
Learn more about AI automated product tagging and tools
Product Data Enrichment: Why It’s Essential for Ecommerce Success
Product data enrichment helps enrich your product data with relevant information automatically pulled from the web. In this article, we'll discuss what it is, why it’s important for ecommerce brands, and how you can harness its power to level up your product pages.
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