workflow__calorie-app-image-nutrition-backend

★ 6.8 · n8n · medium · 8 nodes

workflow__calorie-app-image-nutrition-backend is an n8n automation template that receives a food photo via webhook and returns nutritional information by analysing the image with OpenAI. Reach for it when you need to add calorie-counting backend logic to a mobile or web app without writing server code — for example, a user snaps a photo of their plate and expects instant macros back, or you're building a nutrition tracker and need a ready API endpoint that identifies dishes from images. Trigger: webhook (POST with image payload). Integrations: OpenAI (vision model) for food recognition and nutrient extraction; the workflow returns a structured response with calories, protein, fat, and carbohydrates. Deployed by importing a JSON file into n8n (self-hosted or cloud); an active OpenAI API key is required. Direction — image-in, nutrition-data-out, not meal logging or diet diary generation. Well-suited for developers of fitness and dietary apps who need a quick AI backend; not intended for clinical nutrition calculations — figures are approximate and should be reviewed by a qualified specialist.