{"id":37899,"date":"2025-07-10T07:00:00","date_gmt":"2025-07-10T14:00:00","guid":{"rendered":"https:\/\/cloudinary.com\/blog\/?p=37899"},"modified":"2025-07-09T10:51:10","modified_gmt":"2025-07-09T17:51:10","slug":"workflow-automation-enrich-metadata","status":"publish","type":"post","link":"https:\/\/cloudinary.com\/blog\/workflow-automation-enrich-metadata","title":{"rendered":"Using Workflow Automation to Enrich Metadata for Visual Media"},"content":{"rendered":"\n

Metadata is more than just a technical detail behind an image or video. It\u2019s the backbone of discoverability, compliance, asset reuse, and monetization. For companies managing thousands or even millions of images and videos, getting metadata right is the difference between a high-performing content pipeline and chaos.<\/p>\n\n\n\n

Despite its value, metadata entry is often neglected<\/strong> because manual tagging is time-consuming and expensive. For organizations working at scale \u2014 such as e-commerce brands, publishers, or media production teams \u2014 this problem is exacerbated as the volume of their content grows.<\/p>\n\n\n\n

That\u2019s where automated metadata enrichment<\/strong> comes in. Metadata enrichment is the process of adding information to existing data, such as keywords, descriptions, or categories, to make it more useful and meaningful. And, as a result, much easier to find in a library of thousands of assets. Using tools like AI-based tagging, speech-to-text transcription, and structured workflows, teams can populate metadata fields programmatically, freeing up time for actual creative and strategic work.<\/p>\n\n\n\n

In this post, we\u2019ll examine how to use Cloudinary\u2019s workflow automation capabilities to create automated metadata enrichment.<\/p>\n\n\n\n

Using Cloudinary Workflow Automation to Enrich Metadata<\/h2>\n\n\n\n

Let\u2019s demonstrate using Cloudinary\u2019s MediaFlows for metadata enrichment. MediaFlows automates visual media tasks, from workflows that occur within Cloudinary, to workflows that involve connecting to another platform in your visual media ecosystem.<\/p>\n\n\n\n

In this case, we\u2019ll use EasyFlows<\/a>, the no-code interface of MediaFlows, to automate metadata enrichment for an e-commerce product catalog.<\/p>\n\n\n

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Step 1: Start With a Trigger<\/h3>\n\n\n\n

Every MediaFlows automation begins with a trigger. In this use case, we want our flow to activate when a new asset is uploaded to a specific folder \u2014 say, \/product-images<\/code>.<\/p>\n\n\n\n

The trigger block is configured to only respond to uploads in the product folder. This ensures we\u2019re only enriching metadata for product assets, not promotional or editorial images.<\/p>\n\n\n\n

Step 2: Extract Metadata From File Naming Conventions<\/h3>\n\n\n\n

Let\u2019s assume your asset\u2019s public ID follows a naming structure like shoes-koalas-minu-sku12345-tags=running,black,q80.<\/p>\n\n\n\n

With MediaFlows, you can:<\/p>\n\n\n\n