Track Food Calories via Telegram with GPT-4 Vision & Google Sheets

Users send food photos to a Telegram bot; GPT-4 Vision identifies items and estimates calories, results logged to Google Sheets and replied instantly.

n8n
Track Food Calories via Telegram with GPT-4 Vision & Google Sheets

This n8n workflow automates food calorie tracking through a Telegram bot. When a user sends a photo of food, the bot triggers, acknowledges receipt with a friendly message, downloads the image via Telegram API, and analyzes it using OpenAI's GPT-4 Vision with a precise prompt to describe the food and estimate calories. The response is then appended to a Google Sheet with a timestamp for easy logging and review.

Key benefits include effortless nutrition journaling without manual entry, real-time feedback for better dietary choices, and seamless integration of AI vision with familiar tools like Telegram and Sheets. It's perfect for personal fitness goals, enhancing user experience with instant acknowledgments and reliable data storage.

Use cases span personal health tracking, meal journaling for diets, wellness apps, or chat-based nutrition coaches. Extend it for daily totals, meal categorization, or goal comparisons. Requires Telegram bot token, OpenAI access, and Google Sheets credentials—ideal for AI-powered health automation.

$14.99
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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