Process telegram image albums with Data Tables Cache and NanoBanana AI

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Important notice

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

1. Workflow Overview

This n8n workflow template simplifies processing of media group messages sent by users in Telegram. It caches image album messages using Data Tables, and th...

Best for

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

Tools used

n8n-nodes-base.telegramtrigger, n8n-nodes-base.datatable, n8n-nodes-base.scheduletrigger, n8n-nodes-base.manualtrigger, n8n-nodes-base.filter, n8n-nodes-base.merge, n8n-nodes-base.telegram, 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 Eduard.

Original n8n.io source

1.1 Workflow description

Title: Process telegram image albums with Data Tables Cache and NanoBanana AI
Workflow name: Process telegram image albums with Data Tables Cache and NanoBanana AI

This n8n workflow template simplifies processing of media group messages sent by users in Telegram. It caches image album messages using Data Tables, and then sends them to a Nano Banana model for processing.

This template showcases n8n's new Data Tables feature as a powerful caching layer to process entire image albums from Telegram.

How it works

Media Group handling: captures all images and the shared caption when user sends an album via Telegram.
Data Table caching: stores all incoming messages in a Data Table to prevent data loss and allow for batch processing.
Scheduled processing: a timer trigger periodically finds and processes completed image albums from the cache.
Multi-modal AI: sends the full set of images and the text prompt to the NanoBanana model via OpenRouter.
User feedback: automatically notifies the user when processing begins and when the result is ready.

How to use

Import the workflow template into your n8n instance.
Create a new Data Table with the following columns (all of type String): chat_id, message_id, media_group, message, status.
Configure your Telegram credentials and connect your bot.
Update the "prepare user messages" node with your Telegram bot token to create the image download links.
Set up your OpenRouter credentials.
Activate the workflow. Now you can send a group of images with a caption to your Telegram bot.

Requirements

An n8n instance (cloud or self-hosted) with Data Tables enabled. Minimal n8n version is 1.113
A Telegram account and a Telegram bot token.
An OpenRouter account with access to the NanoBanana model.

Customizing this workflow

Adjust the processing schedule: modify the Schedule Trigger node to change how often the workflow checks for new media groups to process.
Handle other message types: The workflow handles only the media groups. You can easily build logic for text messages, documents, or commands by adding nodes instead of the placeholder node ("Process other messages as usual").
Extend the functionality: add more nodes after the AI generates an image to perform different actions, such as saving the file, sending it to another service, or creating a social media post.

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 - Telegram Trigger

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

Block 2 - Upsert row(s)

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

Block 3 - Schedule Trigger

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

Block 4 - When clicking ‘Execute workflow’

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

Block 5 - Filter

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

Block 6 - Merge

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

Block 7 - Get a file

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

Block 8 - Is media group with images?

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

Block 9 - Summarize

Type / Role: n8n-nodes-base.summarize - summarize
Config choices: Version 1.1

Block 10 - Convert to File

Type / Role: n8n-nodes-base.convertToFile - convertToFile
Config choices: Version 1.1

Block 11 - Merge1

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

Block 12 - Merge2

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

Block 13 - NOOP

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

Block 14 - Latest message in media_group

Type / Role: n8n-nodes-base.summarize - summarize
Config choices: Version 1.1

Block 15 - Sort

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

Block 16 - Call NanoBanana via OpenRouter

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 17 - Extract Base64

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 18 - Send processing message

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

Block 19 - Send result message

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

Block 20 - status:processing

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

Block 21 - status:done

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

Block 22 - Get new requests

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

Block 23 - prepare user messages

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 24 - parse TG messages

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Showing the first 24 of 35 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Process telegram image albums with Data Tables Cache and NanoBanana AI
Complexity	advanced
Nodes	35
Categories	Support Chatbot, Multimodal AI
Author	Eduard
Published	05 Oct 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/9288/9288.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 Multimodal AI workflows

Frequently asked questions

What does Process telegram image albums with Data Tables Cache and NanoBanana AI do?

This n8n workflow template simplifies processing of media group messages sent by users in Telegram. It caches image album messages using Data Tables, and th...

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, Multimodal AI use case.

Eduard

24 workflows

Nodes

n8n-nodes-base.telegramtrigger n8n-nodes-base.datatable n8n-nodes-base.scheduletrigger n8n-nodes-base.manualtrigger n8n-nodes-base.filter n8n-nodes-base.merge n8n-nodes-base.telegram n8n-nodes-base.if

Complexity

advanced

Published 05 Oct 2025

Likes 0

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Install path: /data/workflows/9288/9288.json

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Process telegram image albums with Data Tables Cache and NanoBanana AI

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

This template showcases n8n's new Data Tables feature as a powerful caching layer to process entire image albums from Telegram.

How it works

How to use

Requirements

Customizing this workflow

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Telegram Trigger

Block 2 - Upsert row(s)

Block 3 - Schedule Trigger

Block 4 - When clicking ‘Execute workflow’

Block 5 - Filter

Block 6 - Merge

Block 7 - Get a file

Block 8 - Is media group with images?

Block 9 - Summarize

Block 10 - Convert to File

Block 11 - Merge1

Block 12 - Merge2

Block 13 - NOOP

Block 14 - Latest message in media_group

Block 15 - Sort

Block 16 - Call NanoBanana via OpenRouter

Block 17 - Extract Base64

Block 18 - Send processing message

Block 19 - Send result message

Block 20 - status:processing

Block 21 - status:done

Block 22 - Get new requests

Block 23 - prepare user messages

Block 24 - parse TG messages

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