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Automate YouTube Shorts creation from Telegram prompts using Gemini and VEO

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Automate YouTube Shorts creation from Telegram prompts using Gemini and VEO preview
Open on n8n.io

Important notice

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

1. Workflow Overview

Who this workflow is for This workflow is designed for content creators, marketing teams, and automation builders who want to produce short form video content at scale without manual editing. It is...

Best for

  • Content Creation automation workflows
  • Multimodal AI automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.googlegemini, n8n-nodes-base.telegramtrigger, n8n-nodes-base.googledrive, n8n-nodes-base.set, n8n-nodes-base.merge, n8n-nodes-base.wait, n8n-nodes-base.telegram, @n8n/n8n-nodes-langchain.agent

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Automate YouTube Shorts creation from Telegram prompts using Gemini and VEO
Workflow name
Automate YouTube Shorts creation from Telegram prompts using Gemini and VEO

Who this workflow is for

This workflow is designed for content creators, marketing teams, and automation builders who want to produce short-form video content at scale without manual editing.

It is especially useful for teams posting consistently to YouTube Shorts, Instagram Reels, or TikTok who want a repeatable, automated content pipeline driven by AI.


What this workflow does

This n8n automation converts a single Telegram message into a fully generated short-form video using AI.

When a message is sent to a Telegram bot, the workflow:

  • Generates a structured short-form video script using Gemini
  • Creates multiple cinematic video clips using VEO
  • Merges clips into a single short video
  • Generates a title, description, and hashtags optimized for short-form platforms
  • Delivers the finished video asset and metadata back to Telegram or storage

The entire process runs automatically without requiring manual scripting, editing, or clip assembly.


How the workflow works

  1. A Telegram message triggers the workflow with a short content idea
  2. An AI model generates a multi-part script optimized for short-form video
  3. Video clips are generated for each script segment using VEO
  4. Clips are merged into a final vertical video
  5. Metadata (title, description, hashtags) is generated and attached
  6. The completed short is delivered for review or publishing

How to set up the workflow

  1. Connect your Telegram bot credentials
  2. Configure your Gemini and VEO credentials
  3. Review the prompt templates used for script and clip generation
  4. Adjust output destinations (Telegram, Google Drive, or manual upload)
  5. Activate the workflow

All required credentials are stored securely using n8n credential management.


Requirements

  • Telegram Bot
  • Google Gemini credentials
  • VEO video generation access
  • n8n instance (cloud or self-hosted)

How to customize the workflow

  • Modify the AI prompts to match your content style or niche
  • Change clip length or number of generated scenes
  • Add automatic posting to YouTube Shorts or other platforms
  • Extend the workflow with analytics or scheduling steps

Author: Hyrum Hurst
Company: QuarterSmart
Contact: [email protected]

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 - Generate a video1

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

Block 2 - Telegram Trigger

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

Block 3 - Generate a video2

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

Block 4 - Upload video1

Type / Role
n8n-nodes-base.googleDrive - googleDrive
Config choices
Version 3

Block 5 - Label URL 1

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

Block 6 - Label URL 2

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

Block 7 - Merge

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

Block 8 - Generate a video3

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

Block 9 - Label URL 3

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

Block 10 - Upload video4

Type / Role
n8n-nodes-base.googleDrive - googleDrive
Config choices
Version 3

Block 11 - Label URL 4

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

Block 12 - Generate a video4

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

Block 13 - Upload video

Type / Role
n8n-nodes-base.googleDrive - googleDrive
Config choices
Version 3

Block 14 - Upload video3

Type / Role
n8n-nodes-base.googleDrive - googleDrive
Config choices
Version 3

Block 15 - Wait5

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

Block 16 - Send a text message

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

Block 17 - Send a text message2

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

Block 18 - Send a text message3

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

Block 19 - Send a text message4

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

Block 20 - Send a text message8

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

Block 21 - AI Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3

Block 22 - Structured Output Parser

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

Block 23 - OpenAI Chat Model

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

Block 24 - If1

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

Showing the first 24 of 45 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Automate YouTube Shorts creation from Telegram prompts using Gemini and VEO
Complexity advanced
Nodes 45
Categories Content Creation, Multimodal AI
Author Hyrum Hurst
Published 09 Dec 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/11617/11617.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

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

  4. 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. 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.

Frequently asked questions

What does Automate YouTube Shorts creation from Telegram prompts using Gemini and VEO do?

Who this workflow is for This workflow is designed for content creators, marketing teams, and automation builders who want to produce short form video content at scale without manual editing. It is...

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 Content Creation, Multimodal AI use case.