ManualTrigger Automate

This workflow is designed for:

• Digital Marketers looking to analyze visual content for SEO and keyword optimization.
• Graphic Designers who want to automate image processing and gain insights from their designs.
• Researchers in fields like computer vision or data science needing to extract and analyze image features.
• Developers integrating image processing capabilities into applications using n8n automation.

This workflow addresses the challenge of efficiently extracting valuable insights from images, such as:

• Automating Image Downloads from Google Drive.
• Extracting Color Information to understand the visual characteristics of images.
• Generating Keywords that describe the image semantically, enhancing searchability and categorization.
• Creating an Embedding Document for images, facilitating advanced search capabilities using vector stores.

1. Manual Trigger: The workflow starts when the user clicks the "Test workflow" button.
2. Download Image: The image is fetched from Google Drive using a specified file ID.
3. Get Color Information: The workflow extracts color channel statistics from the downloaded image.
4. Resize Image: The image is resized to 512x512 pixels, ensuring compatibility with OpenAI models.
5. Generate Keywords: The workflow uses OpenAI's capabilities to extract a comprehensive list of semantic keywords related to the image.
6. Combine Analysis: Color information and generated keywords are merged to create a comprehensive analysis output.
7. Document for Embedding: This step prepares the data for embedding by defining metadata such as source and format.
8. Store in Vector Store: The embedding document is inserted into an in-memory vector store for future retrieval.
9. Search for Image: Users can perform searches against the vector store using prompts, allowing for efficient image retrieval based on semantic content.