Ximilar: Image Recognition and Visual Search API

Key Features

• Visual Search API

  Supports finding visually similar images within a collection using vector search technology.

• Automatic Image Tagging

  Uses AI to identify objects and assign descriptive tags to images.

• No-Code Model Builder

  A platform for training and deploying custom computer vision models without writing code.

• Object Detection

  Identifies and locates specific objects within an image using bounding boxes.

• Image Annotation Tool

  Supports labeling image data to help train custom machine learning models.

• Modular AI Flows

  Allows users to combine multiple ready-to-use and custom AI models into a sequence.

Use Cases

• E-commerce Product Discovery

  Supports product recommendations by allowing customers to search for items using a photo.

• Automated Content Tagging

  Supports generating tags and descriptions for stock photo or product libraries.

• Collectible Identification

  Designed for identifying and grading collectible cards, comics, and stamps.

• Medical Image Analysis

  Supports building models to help analyze medical images such as X-rays.

• Quality Control in Manufacturing

  Uses object detection to help identify surface defects or manage cable detection.

Integrations

• REST API
• Python SDK

FAQ

How does Ximilar's pricing work?

Ximilar uses a credit-based system where different API operations cost different amounts of credits. They offer a free plan, and paid Business and Professional plans based on monthly credit volumes.

Do I need to be a coder to use Ximilar?

While tools are integrated via API, Ximilar provides a no-code platform that allows users to train and deploy models without writing code.

Is my image data stored by Ximilar?

Ximilar states that processed images are not stored; they are processed once and then discarded. However, imagery used to train custom models is stored on servers in the EU.