This template starts when your Telegram bot receives a meal message. JavaScript treats it as text, a photo, or a voice note. Voice is transcribed with Latenode speech-to-text.
ChatGPT extracts the meal, portions, and macros, then Google Sheets appends a row. Telegram sends a short confirmation back. Connect Telegram and Google Sheets. Put the bot token on the Telegram connection. ChatGPT and speech-to-text are Latenode AI steps.
Latenode bills workflow runtime in CPU seconds. The first 10,000 CPU seconds are free each month, then usage follows pay-as-you-go CPU-second pricing. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.
Full pricing — how CPU seconds work →Workflow preview
The scenario starts when someone sends a meal note to the Telegram bot you connect.
JavaScript keeps the text, downloads a photo, or sends a voice note through speech-to-text.
ChatGPT returns meal name, portions, calories, and macros from that input.
Google Sheets appends the row. Telegram sends a short confirmation in the same chat.
Add a Telegram connection and paste your bot token there. Add a trigger for new updates on that bot.
Add a Google Sheets connection. Use a tab with columns for time, meal, calories, protein, carbs, and fat.
Download photos from Telegram. Transcribe voice with Latenode speech-to-text. Send text, transcript, or photo to ChatGPT for the meal fields. ChatGPT and speech-to-text are Latenode AI steps.
Map ChatGPT fields onto a Google Sheets row. Send a confirmation in Telegram.
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