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Generate recipes from fridge photos using GPT-4 Vision & Telegram

Yusuke YamamotoYusuke Yamamoto
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2/3/2026
JiraSlackIntegrationAutomationWebhooks
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This n8n template demonstrates a multi-modal AI recipe assistant that suggests delicious recipes based on user input, delivered via Telegram. The workflow can uniquely handle two types of input: a photo of your ingredients or a simple text list.

Use cases are many: Get instant dinner ideas by taking a photo of your fridge contents, reduce food waste by finding recipes for leftover ingredients, or create a fun and interactive service for a cooking community or food delivery app!

Good to know

  • This workflow uses two different AI models (one for vision, one for text generation), so costs will be incurred for each execution. See OpenRouter Pricing or your chosen model provider's pricing page for updated info.
  • The AI prompts are in English, but the final recipe output is configured to be in Japanese. You can easily change the language by editing the prompt in the Recipe Generator node.

How it works

  1. The workflow starts when a user sends a message or an image to your bot on Telegram via the Telegram Trigger.
  2. An IF node intelligently checks if the input is text or an image.
  3. If an image is sent, the AI Vision Agent analyzes it to identify ingredients. A Structured Output Parser then forces this data into a clean JSON list.
  4. If text is sent, a Set node directly prepares the user's text as the ingredient list.
  5. Both paths converge, providing a standardized ingredient list to the Recipe Generator agent. This AI acts as a professional chef to create three detailed recipes.
  6. Crucially, a second Structured Output Parser takes the AI's creative text and formats it into a reliable JSON structure (with name, difficulty, instructions, etc.). This ensures the output is always predictable and easy to work with.
  7. A final Set node uses a JavaScript expression to transform the structured recipe data into a beautiful, emoji-rich, and easy-to-read message.
  8. The formatted recipe suggestions are sent back to the user on Telegram.

How to use

  • Configure the Telegram Trigger with your own bot's API credentials.
  • Add your AI provider credentials in the OpenAI Vision Model and OpenAI Recipe Model nodes (this template uses OpenRouter, but it can be swapped for a direct OpenAI connection).

Requirements

  • A Telegram account and a bot token.
  • An AI provider account that supports vision and text models, such as OpenRouter or OpenAI.

Customising this workflow

  • Modify the prompt in the Recipe Generator to include dietary restrictions (e.g., "vegan," "gluten-free") or to change the number of recipes suggested.
  • Swap the Telegram nodes for Discord, Slack, or a Webhook to integrate this recipe bot into a different platform or your own application.
  • Connect to a recipe database API to supplement the AI's suggestions with existing recipes.

Generate Recipes from Fridge Photos using GPT-4 Vision & Telegram

This n8n workflow automates the process of generating recipe ideas from images of your fridge contents, leveraging the power of GPT-4 Vision and delivering the results directly to you via Telegram.

What it does

  1. Listens for Telegram Messages: The workflow is triggered when a new message is received in a configured Telegram chat.
  2. Filters for Image Messages: It checks if the incoming Telegram message contains an image.
  3. Processes Image with AI Agent: If an image is detected, it's passed to an AI Agent (powered by LangChain and OpenRouter Chat Model) which uses a structured output parser to interpret the image content. This agent is configured to identify ingredients in the fridge photo.
  4. Generates Recipe Ideas: The AI Agent then generates recipe suggestions based on the identified ingredients.
  5. Sends Recipes to Telegram: Finally, the generated recipes are formatted and sent back to the user in the Telegram chat.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Telegram Bot Token: A Telegram Bot configured and its API token. You'll need to set up a Telegram Trigger and Telegram node credentials with this token.
  • OpenRouter API Key: An API key for OpenRouter to access their chat models, specifically one that supports vision capabilities (e.g., GPT-4 Vision). This will be used by the "OpenRouter Chat Model" node.
  • LangChain Integration: The @n8n/n8n-nodes-langchain package installed in your n8n instance.

Setup/Usage

  1. Import the workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Telegram Credentials:
    • Open the "Telegram Trigger" node and configure your Telegram Bot credentials.
    • Open the "Telegram" node and configure your Telegram Bot credentials.
  3. Configure OpenRouter Credentials:
    • Open the "OpenRouter Chat Model" node.
    • Select or create a new OpenRouter credential, providing your API key.
    • Ensure the selected model supports vision capabilities (e.g., gpt-4-vision-preview).
  4. Activate the Workflow: Once all credentials are set up, activate the workflow.
  5. Send a Photo: Send a photo of your fridge contents to your configured Telegram bot. The workflow will process the image and send back recipe suggestions.

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