Automated Image Captioning and Caption Overlay Workflow

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This n8n workflow automates the process of generating captions for images and overlaying them directly onto the images. The goal is to create visually informative images that can be used for social media, publications, or watermarking. The workflow begins with downloading an image from a URL, then utilizes Google’s Gemini AI model to generate descriptive captions with a fun, punny title. The process further involves calculating the optimal position for the caption based on the image size, and finally overlaying the caption onto the image. It demonstrates how to leverage multimodal AI models and image editing features within n8n, suitable for automating content creation workflows.

Step-by-step, the workflow starts with a manual trigger, retrieves and resizes the image, and uses an AI language model to generate a caption. It then calculates the appropriate placement for the caption, overlays the text onto the image, and finally produces a captioned image. Practical uses include automating the creation of watermarked images, social media posts with descriptive captions, or branded visuals with overlay text.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.outputParserStructured, code, editImage, httpRequest, manualTrigger, merge, stickyNote

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