Log Meal Nutrients from Telegram to Google Sheets with AI

This n8n workflow enables effortless nutrition tracking by integrating Telegram for input, OpenAI for intelligent processing, and Google Sheets for data storage. Users send meal descriptions as text or voice notes to a Telegram bot. The workflow detects message type: for voice, it downloads the audio and transcribes it using OpenAI; for text, it uses the input directly. Then, OpenAI extracts structured ingredients and nutritional details like calories, proteins, carbs, and fats.

Benefits include time-saving automation, eliminating manual entry errors, and enabling easy review of dietary trends over time. It's perfect for health-conscious individuals, fitness coaches, or healthtech developers building scalable tracking solutions. A built-in testing interface simulates inputs for quick debugging and customization.

Setup is straightforward: create a Telegram bot, set up OpenAI credentials, provide a Google Sheet ID, and activate. Customize prompts for accurate nutrient parsing tailored to specific diets. This workflow transforms casual meal logging into precise, actionable data for better health decisions.