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Manual Trigger for Batch Reading Local JPG Image Files

This workflow is manually triggered to batch read all JPG image files from a specified path, quickly obtaining the binary data of local images for subsequent processing or storage. It addresses the cumbersome issues of traditional manual operations by enabling one-click reading, thereby enhancing work efficiency. It is suitable for scenarios that require batch uploading, processing, or analyzing local images, simplifying the file reading steps and facilitating further integration of various automation features.

Workflow Diagram
Manual Trigger for Batch Reading Local JPG Image Files Workflow diagram

Workflow Name

Manual Trigger for Batch Reading Local JPG Image Files

Key Features and Highlights

This workflow enables batch reading of all JPG image files from a specified local directory through manual triggering. It facilitates quick and convenient retrieval of local image binary data, supporting subsequent processing or transfer operations.

Core Problem Addressed

It resolves the cumbersome and error-prone nature of traditional manual operations when users need to batch read local image files within automated processes. By enabling one-click batch reading, it significantly improves work efficiency.

Application Scenarios

  • Scenarios requiring batch uploading, processing, or analysis of locally stored image files
  • Bulk importing image data during digital asset management
  • Serving as the initial step for reading local images in automated workflows

Main Process Steps

  1. User manually clicks the “execute” button to trigger the workflow
  2. Reads all JPG format binary image files located in the specified directory (/data/lol/)

Involved Systems or Services

  • Local file system (for reading local files)
  • n8n automation platform nodes: Manual Trigger, Read Binary Files

Target Users and Value

Ideal for developers, automation engineers, and digital content managers who require automated batch reading of local image files. This workflow simplifies the file reading process, facilitating seamless integration with subsequent image processing, storage, or analysis functions, thereby enhancing overall automation efficiency.