Collectibles
Image Tools
Other industries
Get a visual search & recommendation engine powered by artificial intelligence and machine learning.
Find & discover graphical content without keywords or metadata.
Level up the product discovery experience with similar image search & automatic product recommendations.
IMAGE SIMILARITY
Use visual search API to automate product discovery in large collections, that are impossible to browse manually.
Provide relevant suggestions based on cues such as designs, shapes, colors & patterns. Image similarity helps across the entire shopper journey from the product listing to the cart.
Achieve a boost in clicks with a product listing which showcases items based on visual search, similarity & tags.
Assist your buyers with matching items right on the product page. Help them find the right pieces at the right time.
Revolutionize your website or app’s search engine with reverse image search API powered by computer vision & deep learning.
SEARCH BY PHOTO
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.
An optimized website with precise image finder tool creates great customer experience & attracts traffic.
A rich offer of products & relevant personalized suggestions generate higher demand.
Increase user engagement & purchase rate, at the fraction of the cost & time compared to alternative methods.
Automate comparing of images and identifying of duplicates. Enrich existing galleries and pick the best product photos.
IMAGE MATCHING
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.
With visual search, no item is neglected due to low organic traffic, wrong categorization or incomplete tagging.
It is a simple way to boost your traffic & sales, whether you do stock photo search or sell unique furniture.
You can upload large volumes of unstructured data, and leave the image recognition & search to precise AI.
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 AI automation.
Provide spot-on product recommendations based on overall aesthetics of images and objects.
Keep your collection curated automatically by merging and elimination of duplicates.
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.
Create personalized offers based on customers’ saved items, items in the basket, or purchases.
Detect individual pieces of clothing, logos, or objects to refine the image search
Recognize people, things, products, brands, scenes, or different styles in detail for easy sorting.
Get a search engine for Fashion, Home Decor, or Stock Photos combining visual & textual search.
Visual search technology is fit for all image types, offering custom solutions for the most unique ones.
CUSTOM VISUAL SEARCH
For common image types like stock photos, fashion apparel, home decor & furniture, and collectibles, you can instantly deploy our visual search models.
If your data is unique or unusual, we’ll create a custom visual search tool tailored to your specific needs.
Manage your collections and workflow in a dedicated App & integrate visual similarity search in your system via API.
We can provide a private cloud for maximum performance & security, or deploy visual search on your hardware.
You can manage your solution and create collections both via Ximilar App & API and connect via REST API.
Choose a subscription plan that suits your traffic. Then add new items continually without additional data.
Customize and combine pre-trained solutions or build your own. No need for metadata and pre-processing.
Visual image search API allows you to process of millions of images and hundreds of requests per second.
Get up-to-date API from the experts in AI innovation, professional support & continual upgrades.
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.
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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.
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Can I combine visual search algorithms with custom models created with Ximilar platform?
Yes, you can combine these services. Read more on their pages.
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Can I use visual search applications on third-party data?
The source of the images in your collection is up to you. It can be third-party data (e.g., scraped from public websites or social networks), but it is up to you to collect these images (files or their URLs) and to act in accordance with the copyright law.
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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:
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:
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.
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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:
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:
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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.
Our latest AI innovations for fashion & home include automated product descriptions, enhanced fashion tagging, and home decor search.
An in-depth overview of the key AI tools reshaping the fashion industry, with a focus on automated fashion tagging.
Let’s take a closer look at the technology behind visual search and the key components of visual search engines.
Our visual search platform can be accessed via API. Fast and easy integration with any system.
Product Description 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))