Analyze food ingredients from Telegram photos using Gemini and Airtable
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 13 nodes and runs on Telegram events (message). Along the way it connects OpenAI Chat Model, Telegram, Airtable and Google Gemini Chat Model.
How it runs
Trigger: On Telegram events (message).
- Watchlist (Airtable): search
- Preferences (Airtable): search
- Data Aggregation (Code): runs custom JavaScript code
- Get a file (Telegram): work with file
- AI OCR Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model
- AI Agent: runs an AI agent, with model: Google Gemini Chat Model
- JSON Parse & Routing (Code): runs custom JavaScript code
- Send a text message (Telegram): uses Telegram
- Create a record (Airtable): create
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (8)
- Code
n8n-nodes-base.code - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Telegram
n8n-nodes-base.telegram - Airtable
n8n-nodes-base.airtable - Telegram Trigger
n8n-nodes-base.telegramTrigger - No Operation, do nothing
n8n-nodes-base.noOp - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini
From the author
Analyze food ingredients from Telegram photos using Gemini and Airtable 🛡️ Personal Ingredient Bodyguard Turn your Telegram bot into an intelligent food safety scanner. This workflow analyzes photos of ingredient labels sent via Telegram, extracts the text…