Learn how to analyze visual content in different ways with quickstarts, tutorials, and samples. What's new in Azure AI Vision?What is Vision Studio?What is Image Analysis?Microsoft IgniteOCR for images
The cloud-based Azure AI Vision API provides developers with access to advanced algorithms for processing images and returning information.What is Vision Studio?What is Image Analysis?Microsoft IgniteOCR for images
Azure AI Vision for digital asset management
Azure AI Vision can power many digital asset management (DAM) scenarios.
DAM is the business process of organizing, storing, and retrieving rich media assets and managing digital rights and permissions.
For example, a company may want to group and identify images based on visible logos, faces, objects, colors, and so on.
Or, you might want to autom.
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Data privacy and security
As with all of the Azure AI services, developers using the Azure AI Vision service should be aware of Microsoft's policies on customer data.
See the Azure AI services page on the Microsoft Trust Center to learn more.
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Getting started
Use Vision Studio to try out Azure AI Vision features quickly in your web browser.
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How does computer vision work?
By uploading an image or specifying an image URL, Computer Vision algorithms can analyze visual content in different ways based on inputs and user choices.
REST APIs and client library SDKs are available to help developers build applications to incorporate Computer Vision capabilities.
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Image requirements
Azure AI Vision can analyze images that meet the following requirements:
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Overview
Azure's Azure AI Vision service gives you access to advanced algorithms that process images and return information based on the visual features you're interested in.
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What are Microsoft vision services?
The following Microsoft services offer simple solutions to address common computer vision tasks:
Vision Services are a set of pre-trained REST APIs which can be called for image tagging face recognition OCR video analytics and more. ,
What is a computer vision repository?
This repository provides examples and best practice guidelines for building computer vision systems.
The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in Computer Vision algorithms, neural architectures, and operationalizing such systems.
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What is Computer Vision Toolbox?
C/C++ and GPU code generation and acceleration, HDL code generation, and OpenCV interface for MATLAB and Simulink Computer Vision Toolbox provides algorithms, functions, and apps for designing and testing computer vision, 3D vision, and video processing systems.