AI-Powered Visual Search

AI-Powered Visual Search

Let customers shop with their camera. Our AI visual search boosts engagement and can reduce bounce rates by up to 20%.

Illustrative image for AI-Powered Visual Search

Customers Can’t Find Your Products?

Text-based search fails for visual products. When customers see an item on social media or in the real world, they struggle to find it on your site because they don’t know the right keywords. This friction leads to a frustrating user experience and lost sales.

Our AI-Powered Visual Search service allows your customers to shop with their camera. Users can upload a photo of an item, a screenshot from social media, or even a pattern, and our AI will instantly return a curated list of visually similar products from your catalog. This creates a seamless and intuitive discovery experience that boosts engagement and conversions.

Key Features

  • Image-to-Product Matching: Users can upload any image to find matching or similar products in your inventory.
  • Object Detection: Isolate specific items within a larger photo (e.g., find the specific lamp in a picture of a living room).
  • Style and Pattern Recognition: Search for products based on visual attributes like color palettes, patterns, and textures.
  • Seamless Integration: Add a camera icon directly to your existing search bar for an intuitive user experience.

How It Works

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1. Catalog Indexing

Our AI processes every image in your product catalog, creating a 'vector embedding'—a mathematical representation of its visual features.

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2. Vector Database Setup

These embeddings are stored in a highly optimized vector database, creating a lightning-fast, searchable index of your entire visual catalog.

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3. Frontend Integration

We integrate a simple 'search by image' button into your existing search bar. When a user uploads an image, it's converted into a vector.

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4. Instantaneous Results

Our system compares the user's image vector against the entire database and returns the most visually similar products in milliseconds.

At a Glance

Pain Points Addressed

  • Customers see products on social media but can't find them on your site
  • Text-based search fails for visual or stylistic queries
  • High bounce rates from users who can't describe what they want
  • Missed opportunities for product discovery

Ideal For

Fashion and apparel brandsHome goods and furniture retailersArt and photography marketplacesJewelry and accessory stores

Technology Stack

Computer Vision Models (CLIP)Vector similarity searchImage feature extraction
Enable Visual Search

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