An AI service that analyzes content in images
Extract rich information from images
Boost content discoverability, accelerate text extraction, and create products that more people can use by embedding vision capabilities in your apps. Use visual data processing to label content, from objects to concepts, extract printed and handwritten text, recognize familiar subjects like brands and landmarks, and moderate content. No machine learning expertise is required.
Innovation within reach
Transform your app with computer vision—all through an API call.
Powerful content extraction
Pull from a deep index of more than 10,000 objects and 25 languages that collects insights at scale.
Vision for all users
Extend capabilities to more users, with the image description feature.
Flexible deployment
Run Computer Vision in the cloud or on the edge, in containers.
Easily apply breakthrough computer vision
Add leading-edge computer vision technology to your own apps with a simple API call.
See it in action
| Feature Name: | Value |
|---|---|
| Objects | [ { “rectangle”: { “x”: 93, “y”: 178, “w”: 115, “h”: 237 }, “object”: “person”, “confidence”: 0.764 }, { “rectangle”: { “x”: 0, “y”: 229, “w”: 101, “h”: 206 }, “object”: “person”, “confidence”: 0.624 }, { “rectangle”: { “x”: 161, “y”: 31, “w”: 439, “h”: 423 }, “object”: “subway train”, “parent”: { “object”: “train”, “parent”: { “object”: “Land vehicle”, “parent”: { “object”: “Vehicle”, “confidence”: 0.926 }, “confidence”: 0.923 }, “confidence”: 0.917 }, “confidence”: 0.801 } ] |
| Tags | [ { “name”: “train”, “confidence”: 0.9975446 }, { “name”: “platform”, “confidence”: 0.9955431 }, { “name”: “station”, “confidence”: 0.979800761 }, { “name”: “indoor”, “confidence”: 0.9277198 }, { “name”: “subway”, “confidence”: 0.8389395 }, { “name”: “clothing”, “confidence”: 0.5043765 }, { “name”: “pulling”, “confidence”: 0.4317162 } ] |
| Description | { “tags”: [ “train”, “platform”, “station”, “building”, “indoor”, “subway”, “track”, “walking”, “waiting”, “pulling”, “board”, “people”, “man”, “luggage”, “standing”, “holding”, “large”, “woman”, “yellow”, “suitcase” ], “captions”: [ { “text”: “people waiting at a train station”, “confidence”: 0.8330992 } ] } |
| Image format | “Jpeg” |
| Image dimensions | 462 x 600 |
| Clip art type | 0 |
| Line drawing type | 0 |
| Black and white | false |
| Adult content | false |
| Adult score | 0.009112834 |
| Racy | false |
| Racy score | 0.0143244695 |
| Categories | [ { “name”: “trans_trainstation”, “score”: 0.98828125 } ] |
| Faces | [] |
| Dominant color background | “Black” |
| Dominant color foreground | “Black” |
| Accent Color | #484C83 |
Transform your processes
Automatically identify more than 10,000 objects and 25 languages. Streamline processes across multiple scenarios, such as robotic process automation and digital asset management, with rich data extraction from images.
Extend your apps to more users
Empower users with low vision by providing descriptions of images. Learn how Microsoft applies Computer Vision to PowerPoint, Word, Outlook, and Excel for auto-captioning of images for low-vision users. And help users navigate the world around them by pairing Computer Vision with Immersive Reader to turn pictures of text into words read aloud.
Turn your camera into an inclusivity tool
Deploy anywhere, from the cloud to the edge
Run Computer Vision in the cloud or on-premises with containers. Apply it to diverse scenarios, like healthcare record image analysis, where data security and low latency are paramount.
Learn about Computer Vision in containers
Build on industry-leading Azure security
World-class computer vision at competitive prices
Pay only for what you use with no upfront costs. With Computer Vision, you pay as you go based on number of transactions.
Get started with Computer Vision in 3 steps
Get instant access and
$200
credit by signing up for your Azure
free account
.
Sign in
to the Azure portal and add Computer Vision.
Learn
how to embed Computer Vision with quickstarts and documentation.
Developer resources
Documentation and quickstarts
Get up and running with Computer Vision.
Start coding
Visual Studio for Computer Vision
Learn how to use the Visual Studio Connected Services feature to embed Computer Vision.
Read the article
Frequently asked questions about Computer Vision
-
Computer Vision and other Cognitive Services offerings guarantee 99.9-percent availability. No SLA is provided for the Free pricing tier. See
SLA details
.
-
Your images are automatically deleted after processing. Microsoft does not train on your data to enhance the underlying models. Learn more about
privacy
and terms of usage.
-
Yes, you can extract one-off images from video content.
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