Automated Image Metadata Tagging

Automated Image Metadata Tagging enhances your image management by automatically analyzing and tagging image content with relevant keywords. Triggered by new file uploads to Google Drive, this workflow downloads the image, extracts its content, and updates the file with metadata, improving searchability and organization. Save time and streamline your workflow with this efficient solution.

7/8/2025
9 nodes
Complex
manualcomplexextractfromfileconverttofilelangchaingoogle drivegoogledrivetriggersticky notefilesstorage
Categories:
Complex WorkflowManual TriggeredCloud Storage & File Management
Integrations:
ExtractFromFileConvertToFileLangChainGoogle DriveGoogleDriveTriggerSticky Note

Target Audience

Target Audience


- Photographers: Those looking to automatically tag and organize their images for better searchability.
- Content Creators: Individuals who frequently use images in their work and need a streamlined process for metadata management.
- Digital Asset Managers: Professionals managing large collections of images who require efficient tagging and metadata integration.
- Developers: Those interested in integrating AI-based image analysis into their applications or workflows.
- Businesses: Organizations that rely on visual content for marketing and need to enhance their image libraries with relevant metadata.

Problem Solved

Problem Solved


This workflow addresses the challenge of manually tagging images with relevant metadata. It automates the process by:
- Extracting image content from Google Drive.
- Analyzing the image using AI to generate descriptive tags.
- Writing these tags back into the image metadata, ensuring images are easily searchable and organized.
This significantly reduces the time and effort required for metadata management, allowing users to focus on their core tasks.

Workflow Steps

Workflow Steps


1. Trigger: The workflow begins when a new file is added to a specific Google Drive folder.
2. Download Image File: The newly added image is downloaded for processing.
3. Analyze Image Content: The downloaded image is analyzed using AI, generating a comma-separated list of keywords that describe the image's content.
4. Extract Metadata: The workflow extracts existing metadata from the image file.
5. Merge Metadata and Base64 Code: The generated keywords are combined with the extracted metadata.
6. Write Metadata to Base64 Code: A code node processes the merged data, incorporating the keywords into the image metadata.
7. Convert to File: The modified image data is converted back into a file format.
8. Update Image File: The original image file in Google Drive is updated with the new metadata, ensuring the changes are saved and accessible.

Customization Guide

Customization Guide


- Change Trigger Folder: Users can modify the folderToWatch parameter in the Google Drive trigger to watch a different folder for new images.
- Adjust AI Model: The modelId parameter in the Analyze Image Content node can be changed to use different AI models for image analysis, depending on the desired output quality or type.
- Modify Metadata Structure: Users can edit the jsCode in the Write Metadata to Base64 Code node to change how metadata is formatted or which tags are included.
- Add Additional Processing Steps: Users can insert new nodes between existing nodes to add custom processing, such as additional image transformations or notifications after an image is updated.