Generate Structured Metadata from Image Files
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Reads binary image files and prepares them for metadata generation in multiple languages.
About This Workflow
This workflow is designed to automate the process of extracting information from image files (specifically JPGs in this example) and preparing it for structured metadata generation. The initial step involves reading binary image files from a specified directory. This serves as the foundation for subsequent nodes that would process these files to create metadata, such as descriptions, tags, and other relevant information, in both English and Chinese.
Key Features
- Reads binary image files from a specified directory.
- Utilizes a manual trigger for execution.
- Sets up the initial stage for multi-language metadata generation.
How To Use
- On clicking 'execute': This manual trigger node starts the workflow when manually initiated.
- Read Binary Files: This node is configured to read all
.jpgfiles located in the/data/lol/directory. The output of this node will be the binary content of each image file, which can then be passed to subsequent nodes for further processing, such as image analysis or metadata extraction.
Apps Used
Workflow JSON
{
"id": "152359fb-48a9-49e0-9ad1-8acf443639cf",
"name": "Generate Structured Metadata from Image Files",
"nodes": 18,
"category": "Data Processing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 152359fb-48a9...
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