iMessage Food Photo Nutrition Analyzer with GPT-4 Vision & Memory

Automates nutritional analysis of food photos sent via iMessage using GPT-4 Vision, stores data in Postgres, and replies with detailed reports via Blooio.

n8n
iMessage Food Photo Nutrition Analyzer with GPT-4 Vision & Memory

This n8n workflow enables seamless nutritional analysis of user-submitted food photos received through iMessage. Triggered by a Blooio webhook, it validates and extracts images, processes them with OpenAI's GPT-4 Vision for accurate calorie and nutrient breakdowns, and stores results in a Postgres database for memory and historical tracking. A friendly, detailed report is then sent back directly in the chat.

Key benefits include hands-free meal logging, automated diet summaries for daily/weekly/monthly insights, and integration into messaging for effortless user experience. It saves time on manual food tracking, provides AI-powered estimates for better dietary awareness, and scales for apps in fitness, healthcare, or wellness.

Ideal use cases: Personal calorie trackers, virtual nutrition coaching via chat, food journaling in wellness apps, or sales tools for diet product demos. Note: Results are estimates; pair with professional advice. Requires Blooio API, OpenAI key, and Postgres setup.

$24.99
Last updated October 3, 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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