This n8n workflow automates the process of creating a compelling travel story from uploaded trip photos. It begins when users submit photos via a webhook, which are then processed to extract metadata such as filename, size, and timestamps. The photos are split into individual items and converted from base64 to binary format for advanced image analysis using OpenAI’s vision-enabled GPT-4 model, extracting content themes and scene descriptions. The workflow groups photos by day, sorts them chronologically within each day, and analyzes each image to gather descriptive themes. Using these insights, an AI-powered narrative generator crafts an engaging, personalized travel story with day-by-day highlights, sensory details, and reflective insights. The final story is formatted and packaged for display or sharing. This workflow is ideal for travel bloggers, event organizers, or anyone who wants to automatically turn photo memories into immersive stories.
Automated Travel Story Generation from Photos
Node Count | 11 – 20 Nodes |
---|---|
Nodes Used | @n8n/n8n-nodes-langchain.openAi, code, convertToFile, merge, set, splitOut, stickyNote, webhook |
Reviews
There are no reviews yet.