This n8n workflow automates the process of extracting, analyzing, and embedding metadata into images stored on Google Drive. It is triggered whenever a new file is added to a specified Google Drive folder, ensuring that images are dynamically analyzed and tagged with relevant metadata. The workflow involves downloading the image, using OpenAI’s AI model to analyze the content, and then embedding descriptive tags directly into the image’s metadata. The updated image is then re-uploaded to Google Drive, maintaining a streamlined automation for managing image metadata. This can be especially useful for digital asset management, content organization, or enhancing accessibility of images in marketing and publishing workflows.
Automated Image Metadata Tagging
somdn_product_page
Categories: Artificial Intelligence, Automation, Content Management, Misc, Resource Management, Storage
Tags: AI Processing, Automation, Cloud Storage, Metadata
Node Count | 6 – 10 Nodes |
---|---|
Nodes Used | @n8n/n8n-nodes-langchain.openAi, code, convertToFile, extractFromFile, googleDrive, googleDriveTrigger, merge, stickyNote |
Be the first to review “Automated Image Metadata Tagging”Cancel Reply
Reviews
There are no reviews yet.