🆚 ARIA vs. oEmbed

Type

Semantic markup technology
Semantic markup technology

About

ARIA (Accessible Rich Internet Applications) is a W3C technical specification that defines how to improve the accessibility of web content and applications, particularly those with dynamic interfaces and custom controls.

It provides a set of roles and properties that can be added to HTML to describe user interface elements, their relationships, and current states, enabling assistive technologies such as screen readers to interpret widgets, live updates, and complex interactions that are not natively accessible.

oEmbed is an open format that allows websites to embed representations of external URLs such as videos, images, and posts from third-party services.

It defines a simple API that returns structured metadata in JSON or XML for generating content previews, and supports multiple content types including video, photo, link, and rich embeds.

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Headquarters

Cambridge, Massachusetts, United States
San Francisco, California, United States

Website

Categories

Semantic Markup › Rank #1
Semantic Markup › Rank #5

Popularity

Determined by the number of sites using each technology.

ARIA semantic markup technology is 2.3 times more popular than oEmbed.
Total websites

Market share

Semantic Markup

Popularity by country

Determined by the number of sites detected from each country.

ARIA is more popular than oEmbed in all countries.
United States
Germany
United Kingdom
France
Japan
Spain
Italy
Netherlands
Australia
India

Awards

Popularity by domain category

Determined by the number of sites in each category.

ARIA is more popular among sites focused on business, online shopping, and blogs and wiki, while oEmbed is more commonly used on marketing and merchandising, sports, and recreation and hobbies sites.
Business
Online Shopping
Marketing/Merchandising
Blogs/Wiki
Education/Reference
Internet Services
Entertainment
Health
Non-Profit/Advocacy/NGO
Travel

Top sites

Top-ranked sites that use these technologies.

Name
Rank
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See also

🗃️ About This Data