With Comments add inline comments to the document. Discuss and collaborate with your colleagues.
With Comments add inline comments to the document. Discuss and collaborate with your colleagues.
Review, comment, discuss
With Comments s, collect any part of the content and place comments anywhere in the text. You can also add a comment to block elements such as embedded media or images.
Add comments.
Edit comments.
Reply to comments.
Delete comments and comment topics.
Turn comments into comment topics with Comments
Reply to a comment to start a conversation. Comment topics allow users to easily exchange ideas and discuss suggestions for a specific piece of content.
Each comment includes the author's name, avatar and a timestamp.
Limit permissions with comments-only mode
The comments feature supports comments-only mode, where users are not allowed to make changes to content and add comments.
The comments-only mode can be used as a simpler alternative to change tracking. It provides a convenient way to suggest changes to the document.
Use as a comments-independent plug-in
Feedback doesn't require real-time collaboration to work. The comments feature can be added to CKEditor 5 like any other plugin.
The Feedback API lets you save all comments in your app.
Use in real-time collaboration with Comments
Comments are fully compatible with real-time collaborative editing.
Different levels of permissions are supported during real-time collaboration. For example, authors can operate in edit mode, while other users can operate in comments-only mode.
System requirements
For every 250 concurrent users, CKEditor Cloud Services On-Premises requires an additional 1 Docker container with a minimum limit of 500 MB of RAM.
1 Docker container and at least 500 MB of RAM support up to 250 concurrent users.
2 Docker containers and at least 1 GB of RAM support up to 500 concurrent users.
4 Docker containers and at least 2 GB of RAM support up to 1,000 concurrent users.
8 Docker containers and at least 4 GB of RAM support up to 2,000 concurrent users.
16 Docker containers and at least 8 GB of RAM support up to 4,000 concurrent users.
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