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Note: When the screen reader encounters an unlabeled image, it may note that image descriptions are available from Microsoft via the context menu. The screen reader will preface its description of images automatically labeled by this feature with “Appears to be…” and will preface any text that was detected with “Appears to say…”. Then use Narrator, or any popular screen reader to browse the web. To try this out, go to edge://settings/accessibility and look for the new setting “Get image descriptions from Microsoft for screen readers.” When this setting is enabled, a prompt will appear with a summary of the feature, a link to additional privacy information, and ask for permission to continue. Automatically generated image alt text should not be viewed as a reason for authors to avoid properly labeled images. Only the site author fully understands the context and intent of the image and its creative meaning and can supply the most relevant description (or mark that it’s decorative if it has no explanatory relevance). It’s important to reiterate that alt text provided by a site’s author will always be preferable to automatically-generated alt text. The feature is not currently available for Microsoft Edge on Android or iOS.

We are excited to offer this built-in service today to all Microsoft Edge customers on Windows, Mac and Linux. Under the policy name AccessibilityImageLabelsEnabled there is an option to disable the feature.

Images categorized by the Vision API as pornographic in nature, gory, or sexually suggestive.Īdditionally, the feature can be controlled through an enterprise policy setting.

Images smaller than 50 x 50 pixels (icon size and smaller).

Decorative images don’t contribute to the content or meaning of the web site.

Images that are marked as “ decorative” by the web site author.

The following image types will not be sent to the auto-image caption service, nor provided to the screen reader: Images sent to this service are governed by our Privacy promise. The Vision API can analyze images and create descriptive summaries in 5 languages, and recognize text inside of images in over 120 languages. Most common web image formats are supported (JPEG, PNG, GIF, WEBP, etc.). The algorithms are not perfect, and the quality of the descriptions will vary, but for users of screen readers, having some description for an image is often better than no context at all.Īfter the user has granted permission, Microsoft Edge will send unlabeled images to Azure Cognitive Services’ Computer Vision API for processing.

When a screen reader finds an image without a label, that image can be automatically processed by machine learning (ML) algorithms to describe the image in words and capture any text it contains. Modern image-recognition technology can help make things easier. Using automatic image descriptions in Microsoft Edge