The Find Bar is the heart of the Magnolia user interface. It is the central starting point for all your tasks: search through content across apps, open apps and access items directly. The Find Bar searches and adapts its results in real time as you type. It offers full-text search and precise filters for you to make the most of your content. You can plug in any REST-compliant data source to be able to search through content that is not stored in Magnolia too.

Extend your search

Full-text search across all content

The Find Bar allows you to search across all your content in Magnolia. The search covers all Magnolia and custom content apps, assets and pages. Developers can also integrate external datasets using the API.

Start typing in the Find Bar to see search results adapt in real time to keywords. Results are pre-sorted by app as well as type of content (e.g. app, page, story, asset or tour).

Use the Up and Down arrow keys to move through search results. Press Enter to open the highlighted result.

Search external content sources

You can use the Find Bar to search not only through all your Magnolia content but also through content stored in external data sources. To do so, developers can build custom search result suppliers extending the Find Bar's capabilities using a purpose-built API. The API facilitates integration with any outside source such as assets stored on Flickr or your client data in a CRM application.

A sample REST integration illustrates how to connect this documentation set.

Filter search results

You can use multiple parallel filters to quickly narrow down your search results and find exactly what you are looking for without scrolling through dozens of results. 


You can easily remove or refine the filter by type, tags (EE Pro), latest editor or the date the content was last edited.

The Type filter lists all types of content that have been configured for search. By default, this includes all JCR content apps. External data sources can also be configured.

In the Tags filter, you can search through all the tags applied to your content in Magnolia. If you use the Magnolia Image Recognition module, all automatically generated tags applied to your assets will be available here.

If you start searching while having an open app, Magnolia will automatically filter results based on the current app so you can get relevant results straight away.

Role-based results

The search results the Find Bar returns are relevant for each user. Admins can refine your search results based on your user role in Magnolia.

If you do not have access to the Assets app, for example, you will not get results from that app.

Artificial intelligence

Boost your search results using the Result Ranker module (EE Pro) with the Find Bar.

This neural-network-based engine brings the power of deep learning to your search results. The more you search, the more Magnolia learns what you need and the better your search results get.

Magnolia makes suggestions and ranks all search results based on what it has learned from previous search patterns and the preferences of all users on a given Magnolia instance.

Intelligent image recognition

Search beyond text with the help of the Image Recognition module.

The Image Recognition module analyzes your assets and automatically tags them with content tags. The tags populate the Tags filter in the Find Bar, making your visual data searchable without requiring any time-consuming human intervention.

For example, an image automatically tagged as "lion" will be returned as a result if you search for "lion" in the Find Bar even if the image's file name and metadata do not contain the word "lion".

Talk to Magnolia

The speech recognition functionality means you can now talk to Magnolia to search and open your content. The Find Bar understands simple voice commands such as "open". Click the microphone icon in the Find Bar, and talk to Magnolia. Your voice data is transcribed, displayed in the Find Bar search box and processed.


Try telling Magnolia to "open pages app" or "find Vietnam tour" in our Travel demo instance to see how it works (log in as superuser/superuser). 

To check which browsers are supported by the Web Speech API, click here. At the time of publication, only Google Chrome is supported.

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