Asset structure - Metadata and tags (video tutorial)

Overview

Watch this tutorial to learn how to handle metadata (structured, contextual, and embedded) and tags with the Cloudinary Assets DAM solution via the Media Library.

Video tutorial

Tutorial contents

This tutorial presents the following topics. Click a timestamp to jump to that part of the video.

Asset structure overview

0:00

This is the first video in a two-part series that explores asset structure within the Media Library and how it can help you organize your Media Library content, making asset searches more efficient. This video focuses on metadata and tags. The next video covers folders. Asset Structure goes beyond the conventional notion of shared folders, drives, or desktops. With Digital Asset Management (DAM), you have the flexibility to create an organized structure using metadata and tags, as well. Together, these elements form the foundation for effective asset storage, search, and reuse, keeping all users up to date and assuring administrators that the right content is being delivered to employees. Additionally, DAM enables secure file sharing and seamless integration with a broader tech stack.

Metadata types

1:43

Metadata stores descriptive information about your asset, represented as fields and values. The three supported types of metadata are: Structured metadata: primarily comprising labels and file names used for customized search purposes. Contextual metadata: offers a more detailed description, including titles and captions. Embedded metadata: data integrated directly into the asset, such as EXIF information. Teams also have the option to add this metadata themselves if needed, such as when the asset has undergone editing using various applications.

Structured metadata

2:34	You can enhance the searchability of your content through the Media Library. (Developers can also achieve this via the Metadata API.) Using the UI, you can navigate to Structured Metadata in the Assets Product Navigation (accessible to administrators). Here, you'll discover a list of existing fields, each offering a unique way to search for assets based on their values.

Structured metadata example

3:36	To illustrate, click Create a New Field and establish a multiple-selection list called Collections, to categorize fashion brands according to their season. After creation, you can prioritize this field's position within the list. Add List values such as SS22, SS23, AW22 and AW23 in the right-hand panel to create new search options.

Set up and search by structured metadata

4:35

Back in the Media Library, select Preferences from the Assets Product Navigation, and in the Advanced Search Filters section, add the newly crafted Collections field. Upon returning to the Media Library and choosing the Assets view for filtering, you'll see your Collections field among the filters at the top. This provides a convenient way to filter assets based on their creation season, allowing you to efficiently assign and retrieve information for asset location.

View and edit metadata values in the asset management drill-down page

5:12

To access and edit asset metadata, double click the asset to open the asset management drill-down page, then select the Metadata tab. This tab allows you to view and modify your tags, structured metadata fields and contextual metadata fields by adding values as needed. In the example shown, the tags were added automatically, structured metadata include Gender, Asset Type, Link to the asset, Season, Approval Status. This information is used to find and reuse assets stored within the platform.

Contextual and embedded metadata

6:18

Contextual and embedded metadata play a significant role in asset management. Contextual metadata comprises titles and descriptions provided for assets, while embedded metadata includes data generated by creative agencies, third parties, or contained within the asset itself, such as EXIF data, resolution, camera information, and GPS location. All of these elements contribute to effective asset searching.

Contextual and embedded metadata examples

6:57	In the Metadata tab of the asset management drill-down page, you'll find fields for Title (caption) and Description (alt) under Contextual metadata, as well as fields for Embedded metadata, including DPI. If you're in search of specific DPI values, you can easily locate them in a search.

Tags

7:37	Tags provide a flexible, free text means of supplementing metadata, allowing you to attach information to assets. Tags can be applied manually or automatically using platform add-ons such as Cloudinary AI Content Analysis, Google Vision and Amazon Rekognition.

Adding tags manually

8:15	For example, in the Metadata tab of the asset management drill-down page you can manually add a tag like Stripes, by typing it into the Tags textbox.

Auto-tagging

8:33

You can also utilize auto-tags, setting a minimum confidence level. Tags that don't meet this minimum confidence threshold won't be suggested. You can then run the add-on and add selected suggested tags or add them all. These tagging options can also be enforced upon upload using an upload preset, ensuring consistent tagging practices. For example, if you want to have auto-tagging applied to all uploads, you can configure an upload preset accordingly.

Keep learning

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