Automated Image Metadata Tagging (Community Node)

Target Audience

• Photographers: Professionals and enthusiasts looking to automate the tagging process for their images.
• Content Creators: Individuals who frequently upload images and require metadata for SEO and organization.
• Businesses: Companies managing large volumes of images that need efficient metadata tagging for better searchability and categorization.
• Developers: Those interested in integrating AI and automation into their workflows for image management.

Problem Solved

This workflow addresses the time-consuming and manual process of tagging images with metadata. By automating the analysis and tagging process, users can save significant time and ensure that their images are properly categorized. Additionally, it enhances the searchability of images within platforms like Google Drive, making it easier to retrieve and manage visual assets based on content.

Workflow Steps

1. Trigger: The workflow begins when a new file is added to a specified Google Drive folder.
2. Download Image File: The newly added image file is downloaded from Google Drive for processing.
3. Analyze Image Content: The image is analyzed using AI to generate a comma-separated list describing its content.
4. Merge Metadata and Image File: The generated metadata is combined with the original image file for integration.
5. Write Metadata into Image: The relevant metadata, including Subject and Keywords, is written back into the image's EXIF data.
6. Update Image File: Finally, the updated image file is uploaded back to the original Google Drive folder, replacing the old version with the newly tagged one.