Analyze product ingredient photos with Telegram & Gemini 2.5 Flash

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Analyze Ingredient Photos using Telegram & Gemini AI Who’s it for Skincare enthusiasts who want to know if a product is safe. Food or supplement buyers checking ingredient safety. Parents reviewing...

Best for

Support Chatbot automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.telegramtrigger, @n8n/n8n-nodes-langchain.googlegemini, n8n-nodes-base.telegram, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.switch, n8n-nodes-base.if

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Parth Pansuriya.

Original n8n.io source

1.1 Workflow description

Title: Analyze product ingredient photos with Telegram & Gemini 2.5 Flash
Workflow name: Analyze product ingredient photos with Telegram & Gemini 2.5 Flash

Analyze Ingredient Photos using Telegram & Gemini AI

Who’s it for

Skincare enthusiasts who want to know if a product is safe.
Food or supplement buyers checking ingredient safety.
Parents reviewing kids’ products.
Anyone wanting quick ingredient analysis before using/buying a product.

How it works / What it does

Telegram Input – User sends a photo of a product label or a text list of ingredients.
Photo Handling – Workflow checks if the message contains a photo.
- If yes → retrieves the file, extracts ingredients using Google Gemini AI.
- If no → handles text/greetings/off-topic queries.
Caption Branching
- With caption → Gives Use / Do Not Use recommendation + reason.
- Without caption → Gives Advantages, Disadvantages, Recommended For, Not Recommended For (3 points each).
Response on Telegram – Sends a friendly, structured response back to the user.

How to set up

Import this workflow JSON into n8n.
Create and connect a Telegram bot via BotFather → paste the API token in Telegram credentials.
Add Google Gemini (PaLM) API credentials inside n8n.
Activate the workflow and send your first product photo via Telegram!

Requirements

n8n instance (self-hosted or cloud).
Telegram bot token.
Google Gemini API credentials.

How to customize the workflow

Change AI Instructions – Update system messages to tweak tone (more technical, casual, or medical).
Adjust Output Format – Edit Telegram response nodes for shorter/longer answers.
Expand Analysis – Add extra categories (e.g., allergens, environmental impact).
Multi-language Support – Modify prompts to output in the user’s preferred language.
Add Database Logging – Connect to MySQL, PostgreSQL to save conversations (user queries + AI responses).

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Google Gemini Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 2 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 3 - Google Gemini Chat Model1

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 4 - Structured Output Parser1

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 5 - Google Gemini Chat Model2

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 6 - Get a Message photo/text

Type / Role: n8n-nodes-base.telegramTrigger - telegramTrigger
Config choices: Version 1.2

Block 7 - Analyzes product images using Google Gemini

Type / Role: @n8n/n8n-nodes-langchain.googleGemini - googleGemini
Config choices: Version 1

Block 8 - Retrieves photo file from Telegram

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 9 - Analyzes ingredients with user caption (Use/Do Not Use decision)

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 10 - Sends Use/Do Not Use recommendation

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 11 - Analyzes ingredients without caption (detailed analysis)

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 12 - Sends detailed ingredient analysis

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 13 - Routes based on caption presence

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.2

Block 14 - Handles text messages and greetings

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.2

Block 15 - Sends conversational responses

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 16 - Checks if message contains photo

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 17 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Analyze product ingredient photos with Telegram & Gemini 2.5 Flash
Complexity	advanced
Nodes	17
Categories	Support Chatbot, AI Chatbot
Author	Parth Pansuriya
Published	30 Sept 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/9112/9112.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Support Chatbot workflows AI Chatbot workflows

Frequently asked questions

What does Analyze product ingredient photos with Telegram & Gemini 2.5 Flash do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI Chatbot use case.

Parth Pansuriya

9 workflows

Nodes

@n8n/n8n-nodes-langchain.lmchatgooglegemini @n8n/n8n-nodes-langchain.outputparserstructured n8n-nodes-base.telegramtrigger @n8n/n8n-nodes-langchain.googlegemini n8n-nodes-base.telegram @n8n/n8n-nodes-langchain.agent n8n-nodes-base.switch n8n-nodes-base.if

Complexity

advanced

Published 30 Sept 2025

Likes 0

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Install path: /data/workflows/9112/9112.json

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Analyze product ingredient photos with Telegram & Gemini 2.5 Flash

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Analyze Ingredient Photos using Telegram & Gemini AI

Who’s it for

How it works / What it does

How to set up

Requirements

How to customize the workflow

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Google Gemini Chat Model

Block 2 - Structured Output Parser

Block 3 - Google Gemini Chat Model1

Block 4 - Structured Output Parser1

Block 5 - Google Gemini Chat Model2

Block 6 - Get a Message photo/text

Block 7 - Analyzes product images using Google Gemini

Block 8 - Retrieves photo file from Telegram

Block 9 - Analyzes ingredients with user caption (Use/Do Not Use decision)

Block 10 - Sends Use/Do Not Use recommendation

Block 11 - Analyzes ingredients without caption (detailed analysis)

Block 12 - Sends detailed ingredient analysis

Block 13 - Routes based on caption presence

Block 14 - Handles text messages and greetings

Block 15 - Sends conversational responses

Block 16 - Checks if message contains photo

Block 17 - Sticky Note

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions