Visual Search Solutions

Get a visual search & recommendation engine powered by artificial intelligence and machine learning.

Get a visual search & recommendation engine powered by Ximilar artificial intelligence and machine learning.

Level Up Your Visual Merchandising

Find & discover graphical content without keywords or metadata.

Visual & keywords query combined with similarity search

Optimize the Product Listing

Achieve a boost in clicks with a product listing which showcases items based on visual search, similarity & tags.

Similarity search and product recommendation based on material

Enrich the Product Page

Assist your buyers with matching items right on the product page. Help them find the right pieces at the right time.

Search With Images

Revolutionize your website or app’s search engine with reverse image search API powered by computer vision & deep learning.

Reverse image search of facial roller with visual AI

SEARCH BY PHOTO

Finding Visual Content Has Never Been Easier

Visual Search AI (reverse image search) enables you to find similar images to query image.

Our Search by Photo combines picture search with object detection to provide your users with relevant results to their search using photos, screenshots & social media posts, or even combined image & keyword search.

Traffic & Clicks

An optimized website with precise image finder tool creates great customer experience & attracts traffic.

Inspiration & Demand

A rich offer of products & relevant personalized suggestions generate higher demand.

Cost & Revenue

Increase user engagement & purchase rate, at the fraction of the cost & time compared to alternative methods.

Organize Your Images With AI

Automate comparing of images and identifying of duplicates. Enrich existing galleries and pick the best product photos.

IMAGE MATCHING

Match Similar and Identical Image Content

Image Matching helps with the management of large collections, that are impossible to sort manually.

Group related images from different sources (including user-generated content, low-quality or augmented), identify & remove duplicates, or add tags & data of existing products to new items based on their similarity.

Visual & similarity search AI used for image matching and product gallery curation
With Ximilar, no item is neglected due to low organic traffic, wrong categorization or incomplete tagging.

Use Your Collection’s Full Potential

With visual search, no item is neglected due to low organic traffic, wrong categorization or incomplete tagging.

Visual search by Ximilar is ideal for all formats and kinds of visual content.

Ideal for All Kinds of Visual Content

It is a simple way to boost your traffic & sales, whether you do stock photo search or sell unique furniture.

Visual search by Ximilar is ideal for large image collections with millions of images.

Built for Very Large Image Collections

You can upload large volumes of unstructured data, and leave the image recognition & search to precise AI.

Get an All-in-One Product & Image
Discovery Engine

Whether you need a visual search engine for your shop or want to create a visual search app, the possibilities with our API are limitless.

Make all your visual content easily searchable and discoverable with Ximilar AI automation.

Find Anything

Make all your visual content easily searchable and discoverable with AI automation.

Provide spot-on product recommendations based on overall aesthetics of images and objects.

Recommend the Best

Provide spot-on product recommendations based on overall aesthetics of images and objects.

Keep your collection curated automatically with Ximilar by merging and elimination of duplicates.

Eliminate Duplicates

Keep your collection curated automatically by merging and elimination of duplicates.

Out of stock? Instead of visitors bouncing right back, keep them engaged with alternative suggestions.

Item Out of Stock?

Instead of visitors bouncing right back, keep them engaged with alternative suggestions.

Filter the results by categories, keywords or colors, and choose how many images to display with Ximilar.

Fully Customizable

Filter the results by categories, keywords or colors, and choose how many images to display.

Create personalized offers based on customers’ saved items, items in the basket, or purchases with Ximilar.

Inspire With Newsletters

Create personalized offers based on customers’ saved items, items in the basket, or purchases.

Combine Visual Search With:

Object detection by Ximilar automatically finds different types of objects & marks them with bounding boxes.

Object Detection

Detect individual pieces of clothing, logos, or objects to refine the image search

Read more
Categorization & Tagging by Ximilar

Image Recognition

Recognize people, things, products, brands, scenes, or different styles in detail for easy sorting.

Read more
Fashion Tagging by Ximilar

Tagging Solutions

Get a search engine for Fashion, Home Decor, or Stock Photos combining visual & textual search.

Discover solutions

Connect, Synchronize
& Upgrade On the Go

Manage your collections and workflow in a dedicated App & integrate visual similarity search in your system via API.

Deploy On Cloud

We can provide a private cloud for maximum performance & security, or deploy visual search on your hardware.

Access Via App & API

You can manage your solution and create collections both via Ximilar App & API and connect via REST API.

Software as a Service

Choose a subscription plan that suits your traffic. Then add new items continually without additional data.

Save Time & Costs

Customize and combine pre-trained solutions or build your own. No need for metadata and pre-processing.

Scalable Solutions

Visual image search API allows you to process of millions of images and hundreds of requests per second.

Professional Support

Get up-to-date API from the experts in AI innovation, professional support & continual upgrades.

Frequently Asked Questions

What is Visual Search?

Visual & similarity search technology can analyze the overall visual aesthetic of an image or detected object in an image, independent of the origin of images or metadata (such as keywords). It understands the concept of similarity according to your subjective perception. That is why it can provide the most relevant results to image queries, whether you look for the exact match or similar items.


What are the typical Visual Search applications?

Visual search typically involves searching images or products using an image query, including photos from social media and user-generated content, like smartphone photos. Our Search by Photo combines this technology with detecting individual products in images. One such solution is Search Fashion by Photo.

The technology is frequently employed for similarity searches, particularly for product recommendations in e-commerce. It assesses image or detected object features, like colour, edges, or patterns, to suggest the most similar alternatives.

Another typical use is image & product matching. Since the technology can identify duplicates or nearly identical items in various images with different quality, it can help with curating product galleries and eliminating all unnecessary content.

Even though applications in e-commerce are the most common, visual search provides endless possibilities even in the industrial sector, scientific research or security systems.


What are the main visual search benefits?

Visual search technology is powered by AI techniques such as computer vision and deep learning. The main benefits of visual search are:

  1. Independence of keywords and metadata – Visual search engine does not rely on additional data such as keywords or metadata to process, find or recommend an image. The technology actually observes features such as colours and their transitions, edges, patterns, or details, and extracts a specifically structured piece of information from each image.
  2. Time efficiency – A typical visual search engine can search in large collections in a matter of seconds or less.
  3. Enhanced user experience – Visual search improves the search results at e-commerce sites significantly, making it easier to find exactly what the buyers and users are looking for.
  4. Traffic & revenue – Similarity search engages and inspires customers with alternative items and content to the things they are currently viewing or to items out of stock.
  5. Data privacy – Once the image is processed by the visual search, it is immediately discarded. The technology then works with the extracted data. Your images are not stored anywhere.
  6. Fraud and content theft prevention – Visual search understands the concept of similarity the way you need it to. Thus, it helps identify your graphical content even with different resolution or with filters.
  7. The most efficient way of visual content management – Visual search provides a consistent and reliable way to automate your whole image collection processing, including the identification and elimination of duplicates or merging of the images of the same products into shared galleries.

Can I see how visual search tools work on my data?

The ready-to-use solutions based on visual search technology are available for testing in both public demo and Ximilar App.

It is also a standard procedure to prepare custom demos. Read our page How we work and contact us. We will prepare a custom demo tailored to your collection.


What are the visual search capabilities?

Visual search tools and software enable us to search for similar and identical photos, images, or objects, using various visual cues. Visual search algorithms analyze visual content and extract information from each image, enabling us to locate similar items or products, based on a provided image.

This technology finds application in diverse visual search use cases, including e-commerce, where users can search for products by taking a picture. Visual similarity search applications and platforms are used everywhere where visual data are essential.

Last but not least, visual search benefits include its wide use in content management systems to search for images within a database using visual references.


Where do I find visual search solutions by Ximilar?

Ximilar provides a full range of solutions powered by visual search algorithms, such as reverse image search (including searching internal databases), search by photo (combined with object detection), similar product and graphical content recommendations, and collection management with image matching.

Some of our most widely used solutions powered by visual search are available for testing in the public free demo. We tailored dedicated visual search solutions for areas such as fashion, stock photos or collectible items.

If you would like to integrate the visual search into your website, app or systems, let us know anytime via contact form, live chat, direct call or an e-mail. We are here to make computer vision easily accessible to everyone.


How does Visual Search help, and in which industries is it utilized?

Visual search is reshaping industries across the board:

  • Visual search together with other visual AI techniques enhances search capabilities of search engines, optimizing content organization and accessibility.
  • In retail, it’s transforming the shopping experience by enabling instant product identification and recommendation, leading to increased sales and customer satisfaction. Learn more here.
  • In healthcare, visual search aids in swiftly and accurately analyzing diagnostic images and enables efficient retrieval and organization of medical images and records, ultimately improving patient care and outcomes.
  • Marketers are leveraging visual search to drive brand visibility and engagement, enhancing advertising strategies and conversion rates. Learn more here.
  • Automotive industries are incorporating visual search technologies to advance autonomous driving capabilities, enhancing object recognition and real-time decision-making.
  • It also helps with content management and large image collection curation across numerous industries. Learn more here.

Do I have to have a specific image collection to use visual search software?

Visual search is always custom designed to search your images based on their visual similarity. To use the visual search, your image database needs to be synchronized to your collection in the Ximilar cloud.

During synchronization, each image is analyzed, a representation of this image is created, and then the image file is discarded. That is why your collection does not contain any actual images. It may, however, contain links (URLs) to the original images, if you provided them.

If your image database is dynamic (images are inserted and deleted over time), your collection at Ximilar cloud must be synchronized. This synchronization can be done via API, or Ximilar can set up a regular synchronization.


Can I use visual search tools and software for video, music, VR scenes or 3D models?

The visual search by Ximilar was already successfully applied to video footage, and we are looking forward to developing the technology for other types of data, such as 3D models or VR scenes! Contact us to discuss your use case.


How to use visual search for better results on my e-commerce site or stock photo database?

The purpose of visual search is to improve the searchability and discoverability of visual content, which is especially helpful in large collections with up to billions of images. It is appliable to real-life photos as well as illustrations, product photos, designs, and patterns or logos.

The process is as follows:

  1. The first step is to contact us, and we will discuss your use case. To bring precise results, the visual search is always tuned for a specific type of images. That is why we can provide visual search for domains such as fashion, real estate, or stock photos right away. More specific types of images, on the other hand, require training a custom similarity model.
  2. We can prepare a custom demo before deploying the system.
  3. Your collection will be synchronized to Ximilar cloud. This does not mean that your images will be stored. Each image needs to be processed by the visual search only once to extract information, and then it is immediately discarded. The synchronization enables you to add new images and change your collection 24/7.

How can visual search help to enhance the user experience on my website?

To optimize user experience, consider implementing these strategies when integrating visual search on your website:

  1. Similarity Search: Offer users suggestions based on similar items, allowing them to explore alternatives effortlessly, including variations in colours and materials. Learn more about similar product recommendations here.
  2. Reverse Image Search: Enable users to search using real-life photos, social media posts, or product images, instantly providing them with desired items or closely related alternatives. Our search by photo first detects all products in an uploaded image and then automatically provides alternatives to each item individually.
  3. Personalized Recommendations: Predict users’ preferences by analyzing their uploaded, saved, liked, or purchased items, ensuring tailored recommendations that fit their individual tastes. Our visual search solutions are tailored to analyze the overall aesthetics of the items, including shapes, patterns, logos, colours, or materials.

What is the difference between Product Similarity, Search by Photo, Photo Similarity, Fashion Search, Home Decor Search and Custom Visual Search?

Product Similarity (visual product search) was built for e-commerce. It is useful for finding similar pictures of products with image queries, similar product recommendations, and product matching.

Search by Photo (product search by image) combines product similarity with object detection to provide similar pictures specifically to the detected object, such as a piece of fashion apparel. It can be used in reverse search engine for fashion, home decor, and other e-commerce product search engines.

Photo Similarity (similar photo search) works with the same technology, but it was trained for generic images, such as stock photos or real-life images.

Fashion Search is a specialized service for fashion e-commerce, which combines visual & similarity search with object detection (Search by Photo) and Fashion Tagging.

Home Decor Search works in the same way in the field of home decor and furniture photos. It also combines visual & similarity search with object detection (Search by Photo) and Furniture & Home Decor Tagging.

Custom Visual Search refers to all solutions using visual & similarity search we build from scratch for our customers.


Tips & Tricks

Our latest AI innovations for fashion & home include automated product descriptions, enhanced fashion tagging, and home decor search.

New Solutions & Innovations in Fashion and Home Decor AI

Our latest AI innovations for fashion & home include automated product descriptions, enhanced fashion tagging, and home decor search.

Read more September 2024

How Fashion Tagging Works and Changes E-Commerce?

An in-depth overview of the key AI tools reshaping the fashion industry, with a focus on automated fashion tagging.

Read more May 2024
Our visual engine allows us to combine several features for multimedia search with advanced filtering.

How to Build a Good Visual Search Engine?

Let’s take a closer look at the technology behind visual search and the key components of visual search engines.

Read more January 2023

Visual Search API

Our visual search platform can be accessed via API. Fast and easy integration with any system.

Full documentation
cURL
Python
curl -H "Content-Type: application/json" -H "authorization: Token __API_TOKEN__" -H "collection-id: __COLLECTION_ID__" https://api.ximilar.com/similarity/fashion/v2/visualKNN -d '{"query_record": {"_url": "https://bit.ly/2IymQJv" } }'
import requests 
import json 
import base64 
 
# example endpoint for fashion visual search
url = 'https://api.ximilar.com/similarity/fashion/v2/visualKNN' 

headers = { 
    'Authorization': "Token __API_TOKEN__", 
    'Content-Type': 'application/json',
    'collection-id': '__COLLECTION_ID__' 
} 

data = { 
    'query_record':  {'_url': __IMAGE_URL__},
    'k':  10
} 
 
response = requests.post(endpoint, headers=headers, data=json.dumps(data))