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Log meal nutrients from Telegram to Google Sheets using an AI agent

PollupAIPollupAI
3076 views
2/3/2026
Text ProcessingTranslationLocalizationAPIDeepL
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Who is this for?

This workflow is ideal for individuals focused on nutrition tracking, meal planning, or diet optimization—whether you’re a health-conscious individual, fitness coach, or developer working on a healthtech app. It also fits well for anyone who wants to capture their meal data via voice or text, without manually entering everything into a spreadsheet.

What problem is this workflow solving?

Manually logging meals and breaking down their nutritional content is time-consuming and often skipped. This workflow automates that process using Telegram for input, OpenAI for natural language understanding, and Google Sheets for structured tracking. It enables users to record meals by typing or sending voice messages, which are transcribed, analyzed for nutrients, and automatically stored for tracking and review.

What this workflow does

This n8n automation lets users send either a text or voice message to a Telegram bot describing their meal. The workflow then:

  1. Receives the Telegram message
  2. Checks if it’s a voice message • If yes: Downloads the audio file and transcribes it using OpenAI • If no: Uses the text input directly
  3. Sends the meal description to OpenAI to extract a structured list of ingredients and nutritional details
  4. Parses and stores the results in Google Sheets
  5. Responds via Telegram with a personalized confirmation message

A testing interface also allows you to simulate prompts and view structured outputs for development or debugging.

Setup

  1. Create a Telegram bot via BotFather and note the API token.
  2. Create an empty Google Sheet and store the sheet ID in the environment.
  3. Set up your OpenAI credentials in the n8n credential manager.
  4. Customize the “List of Ingredients and Nutrients” node with your prompt if needed.
  5. (Optional) Use the “Testing” section to simulate messages and refine outputs before going live.

How to customize this workflow to your needs

• Enhance prompts in the OpenAI node to improve the structure and accuracy of responses. • Add new fields in the Google Sheet and corresponding logic in the parser if you want more detail. • Adjust the Telegram response to provide motivational feedback, dietary tips, or summaries. • Upgrade to the “Pro” version mentioned in the contact section for USDA database integration and complete nutrient breakdowns.

This is a lightweight, AI-powered meal logging automation that transforms voice or text into actionable nutrition data—perfect for making healthy eating easier and more data-driven.

See my other workflows here

Log Meal Nutrients from Telegram to Google Sheets using an AI Agent

This n8n workflow automates the process of logging meal nutrient information. It listens for messages on Telegram, uses an AI agent to extract structured nutrient data from the message, and then logs this data into a Google Sheet.

What it does

This workflow simplifies tracking meal nutrients by:

  1. Triggering on Telegram Messages: It starts when a new message is received in a configured Telegram chat.
  2. Filtering Messages: It checks if the received message contains the /meal command. Only messages with this command proceed.
  3. Extracting Meal Information with AI: An AI Agent (powered by OpenAI) processes the meal description from the Telegram message to identify and extract structured nutrient data (e.g., meal name, calories, protein, carbs, fat).
  4. Formatting Data: The extracted nutrient data is then formatted into a suitable structure for Google Sheets.
  5. Logging to Google Sheets: The structured meal nutrient data is appended as a new row to a specified Google Sheet.
  6. Confirmation (Optional): (Implied, though not explicitly shown in the provided JSON, a successful log could be confirmed back to Telegram).

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Telegram Bot: A Telegram bot token and a chat ID where messages will be sent.
  • OpenAI API Key: An API key for OpenAI to power the AI Agent.
  • Google Sheets: Access to a Google Sheet where the meal data will be logged. You'll need the Spreadsheet ID and Sheet Name.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Telegram Trigger:
    • Open the "Telegram Trigger" node.
    • Select or create a Telegram API credential.
    • Ensure it's configured to listen for new messages in your desired chat.
  3. Configure OpenAI Chat Model:
    • Open the "OpenAI Chat Model" node.
    • Select or create an OpenAI API credential with your API key.
  4. Configure Google Sheets Node:
    • Open the "Google Sheets" node.
    • Select or create a Google Sheets API credential.
    • Specify the Spreadsheet ID and Sheet Name where you want to log the meal data.
    • Ensure the sheet has columns corresponding to the data extracted by the AI (e.g., "Meal", "Calories", "Protein", "Carbs", "Fat").
  5. Activate the Workflow: Save and activate the workflow.

Once activated, send a message to your Telegram bot with the /meal command followed by your meal description (e.g., /meal I had a chicken salad with 300 calories, 30g protein, 10g carbs, and 15g fat). The workflow will process this message and log the details to your Google Sheet.

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