Documentation

Tags

Tags are flexible labels for cross-referencing posts across different topics and folders.

Creating Tags

Tags are created on the fly: open any post, click "Add tag", and type. Press Enter to create a new tag or select an existing one from the dropdown.

Assigning Tags

You can assign multiple tags to a single post. To tag multiple posts at once, select them with checkboxes and use the "Tag selected" bulk action.

Managing Tags

Use a tag's three-dot menu in the sidebar to rename or remove it. Removing a tag deletes the label and its assignments; it does not delete the posts that used it.

AI Bulk Tagging Pro

AI Bulk Tagging analyses posts that do not already have tags. It is an on-demand backlog tool; it does not automatically tag every new save.

Running AI Bulk Tagging

1

Open AI Bulk Tag

In the dashboard sidebar, click the sparkle button beside Tags.
2

Configure the run

Optionally provide preferred tag names, then choose the maximum words per tag and maximum tags per bookmark.
3

Review a sample

Generate a sample set, remove any suggestions you do not want, or adjust the configuration and regenerate.
4

Apply to all

Apply the configuration to all currently untagged bookmarks. Keep the dialog open while it processes.

How It Works

Savebase sends the saved title, content, URL, source, and author information to the tagging service. It can prefer the tag vocabulary you provide, creates any missing tags, and assigns the resulting tags to each processed bookmark.

The AI analyses:

  • Post title and caption
  • Author and account type
  • Platform context
  • Your optional preferred tag vocabulary

Editing Suggested Tags

Review the sample before applying the run. Afterward, tags behave like normal tags and can be removed from a post. The completion screen also offers Undo All AI Tags for assignments from that run.

Accuracy notice

AI suggestions are not always perfect. Review tags on important posts and correct as needed.