What is Computer Vision?
Azure's Computer Vision service gives you access to advanced algorithms that process images and return information based on the visual features you're interested in.
|Optical Character Recognition (OCR)||The Optical Character Recognition (OCR) service extracts text from images. You can use the new Read API to extract printed and handwritten text from photos and documents. It uses deep-learning-based models and works with text on a variety of surfaces and backgrounds. These include business documents, invoices, receipts, posters, business cards, letters, and whiteboards. The OCR APIs support extracting printed text in several languages. Follow the OCR quickstart to get started.|
|Image Analysis||The Image Analysis service extracts many visual features from images, such as objects, faces, adult content, and auto-generated text descriptions. Follow the Image Analysis quickstart to get started.|
|Face||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. Follow the Face quickstart to get started.|
|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. Install the Spatial Analysis container to get started.|
Computer Vision for digital asset management
Computer 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 automatically generate captions for images and attach keywords so they're searchable. For an all-in-one DAM solution using Cognitive Services, Azure Cognitive Search, and intelligent reporting, see the Knowledge Mining Solution Accelerator Guide on GitHub. For other DAM examples, see the Computer Vision Solution Templates repository.
Use Vision Studio to try out Computer Vision features quickly in your web browser.
To get started building Computer Vision into your app, follow a quickstart.
- Quickstart: Optical character recognition (OCR)
- Quickstart: Image Analysis
- Quickstart: Spatial Analysis container
Computer Vision can analyze images that meet the following requirements:
- The image must be presented in JPEG, PNG, GIF, or BMP format
- The file size of the image must be less than 4 megabytes (MB)
- The dimensions of the image must be greater than 50 x 50 pixels
- For the Read API, the dimensions of the image must be between 50 x 50 and 10000 x 10000 pixels.
Data privacy and security
As with all of the Cognitive Services, developers using the Computer Vision service should be aware of Microsoft's policies on customer data. See the Cognitive Services page on the Microsoft Trust Center to learn more.
Follow a quickstart to implement and run a service in your preferred development language.
Send inn og vis tilbakemelding for