Automate Dynamic Image Caption Overlays Using Google Gemini
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This workflow leverages Google Gemini's multimodal AI to automatically generate contextually relevant captions for images. It then dynamically overlays these captions onto the images, creating ready-to-publish visuals. Ideal for streamlining content creation and ensuring consistent branding or information delivery.
About This Workflow
This powerful n8n workflow showcases the capabilities of multimodal AI by integrating Google Gemini to analyze images and generate intelligent captions. It starts by fetching an image, then processes it with Gemini 1.5-Flash to extract a title and descriptive text. The workflow dynamically calculates optimal text placement and font size based on the image dimensions, ensuring a perfect fit every time. Finally, it uses n8n's robust image editing capabilities to apply a semi-transparent background and overlay the generated caption directly onto the image, producing a polished, ready-to-use asset for publications, social media, or e-commerce.
Key Features
- Multimodal AI Captioning: Harness the power of Google Gemini 1.5-Flash to intelligently analyze images and generate relevant titles and descriptions.
- Dynamic Text Overlay: Automatically embed generated captions directly onto images with a customizable semi-transparent background.
- Adaptive Text Placement: Calculates optimal font size, line length, and position based on image dimensions and caption length for a professional look.
- Automated Image Processing: Includes steps for fetching images, resizing for AI, and extracting metadata, streamlining the entire content creation process.
- Structured AI Output: Utilizes a structured output parser to ensure consistent and usable caption data from the AI model.
How To Use
- Set up Google Gemini Credentials: Ensure you have your Google Gemini (PaLM) API credentials configured in n8n. The
Google Gemini Chat Modelnode will use these. - Provide an Image Source: The
Get Imagenode currently fetches an image from Pexels. Replace the URL or swap this node with your preferred image input (e.g., a webhook for new uploads, a cloud storage node like S3, or a local file trigger). - Customize AI Prompt (Optional): While not explicitly shown in the JSON, the
Google Gemini Chat Modelnode likely has a prompt. You can adjust this prompt to guide Gemini's caption generation, for example, "Generate a short title and a descriptive text for this image, returning it as a JSON object with 'caption_title' and 'caption_text' keys." - Refine Output Structure (Optional): If you modify the AI prompt to return a different JSON structure, update the
Structured Output Parser'sjsonSchemaExampleaccordingly to match. - Adjust Caption Styles (Optional): In the
Apply Caption to Imagenode, you can modify thecolorof the background rectangle,fontColor, and potentially thefontpath (ensure the font is available on your n8n instance) to match your branding.
Apps Used
Workflow JSON
{
"id": "a66a30b5-c00a-46cf-a0a0-e3ca18a4b7f1",
"name": "Automate Dynamic Image Caption Overlays Using Google Gemini",
"nodes": 7,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: a66a30b5-c00a...
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