Easy Image Captioning with Google Gemini 1.5

This workflow utilizes the powerful Google Gemini Chat Model to automatically generate captions for images. It begins with a manual trigger, allowing users to initiate the process at their convenience. After the trigger, the workflow retrieves ima...

n8n
Easy Image Captioning with Google Gemini 1.5

This workflow utilizes the powerful Google Gemini Chat Model to automatically generate captions for images. It begins with a manual trigger, allowing users to initiate the process at their convenience. After the trigger, the workflow retrieves image information, resizes the image for optimal processing, and invokes the Gemini model to generate captions. The output is parsed into a structured format, making it easy to integrate with other systems or applications.

The benefits of this workflow include increased efficiency in content creation for social media, blogs, and other platforms that require engaging visuals accompanied by informative captions. By automating the captioning process, users can save time and ensure consistency in their messaging. Furthermore, the structured output allows for seamless integration with various applications, facilitating more advanced use cases like AI-driven content recommendations.

Use cases for this workflow include automating social media posts, enhancing image libraries with descriptive captions, and even assisting in creating content for marketing campaigns. Whether you are a content creator, marketer, or simply looking to streamline your image management process, this workflow provides a robust solution to meet your needs.

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Last updated August 29, 2026
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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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