Introducing Vision Studio, a UI-based demo interface for Computer Vision

Are you looking to improve the analysis and management of images and videos? The Computer Vision API provides access to advanced algorithms for processing media and returning information. By uploading a media asset or specifying a media asset’s URL, Azure’s Computer Vision algorithms can analyze visual content in different ways based on inputs and user choices, tailored to your business.

Want to try out this service with samples that return data in a quick, straightforward manner, without technical support? We are happy to introduce Vision Studio in preview, a platform of UI-based tools that lets you explore, demo and evaluate features from Computer Vision, regardless of your coding experience. You can start experimenting with the services and learning what they offer, then when ready to deploy, use the available client libraries and REST APIs to get started embedding these services into your own applications.

Overview of Vision Studio

Image displaying the Vision Studio interface with multiple services available to try. The interface includes multiple tabs, which indicate additional product demos to experience.

Each of the Computer Vision features has one or more try-it-out experiences in Vision Studio. To use your own images in Vision Studio, you'll need an Azure subscription and a resource for Cognitive Services for authentication. Otherwise, you can try Vision Studio without logging in, using our provided set of sample images. These experiences help you quickly test the features using a no-code approach that provides JSON and text responses. In Vision Studio, you can try out the following services:

What's new to try in Vision Studio

Optical Character Recognition (OCR)

The optical character recognition (OCR) service allows you to extract printed or handwritten text from images, such as photos of street signs and products, as well as from documents—invoices, bills, financial reports, articles, and more. Try it out in Vision Studio using your own images to extract text.

Spatial Analysis

The Spatial Analysis service analyzes the presence and movement of people on a video feed and produces events that other systems can respond to. Try it out in Vision Studio using samples we provide, to see how spatial analysis will improve retail operations.


The Face service provides AI algorithms that detect, recognize, and analyze human faces in images. Facial recognition software is important in many different scenarios, such as identity verification, touchless access control, and face blurring for privacy. Apply for access to the Face API service to try out identity recognition and verification in Vision Studio.

Image Analysis

The Image Analysis service extracts many visual features from images, such as objects, faces, adult content, and auto-generated text descriptions to improve accessibility. Try it out in Vision Studio using your own images to accurately identify objects, moderate content and caption images.

Image displaying the Object Detection service demo. The image shows three people sitting at a table, and on the right, a list of the things detected in the image including people and a table.

Responsible AI in Vision

We offer guidance for the responsible use of these capabilities based on Microsoft AI’s principles of fairness, reliability and safety, privacy and security, inclusiveness, transparency, and human accountability. The Responsible AI Standard sets out our best thinking on how we will build AI systems to uphold these values and earn society’s trust. It provides specific, actionable guidance for our teams that goes beyond the high-level principles that have dominated the AI landscape to date.  Learn more about Responsible AI in Vision

Next steps

Source: Azure Blog Feed

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