Auto-Translate YouTube Video Content with Google Gemini AI

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Important notice

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

1. Workflow Overview

If you want to reach a wider audience, having your video titles and descriptions in multiple languages can help you connect with more viewers. This template provides the configuration needed to gen...

Best for

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

Tools used

@n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.stickynote, n8n-nodes-base.set, n8n-nodes-base.youtube, n8n-nodes-base.code, @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 Lucio.

Original n8n.io source

1.1 Workflow description

Title: Auto-Translate YouTube Video Content with Google Gemini AI
Workflow name: Auto-Translate YouTube Video Content with Google Gemini AI

How it works

Defines Video ID and Languages You can get the ID from the video URL. If you’re unsure, click the Share button, it will provide the ID at between the "/" and the "?si="
Fetches video information As long as the workflow has the video ID, it can retrieve the video information, whether the video is published or not.
Check languages to translate If no default language is set in the video details, the workflow will assume "en" (English) as the default. To overwrite the default language, replace 'en' in line 2 of the code.
AI Agent Translator: You can improve results by refining the prompt. Feel free to experiment, just don’t change the formatting structure.
Updates Video Localization The API requires to send current default version again along with the translations in the Body.
Output URL returns the URL for the video’s localization. It may take a few seconds to appear—refresh and try again if needed.

⚠ The translation will overwrite any existing translations for the same language.

How to Use

(First time only) Set up credentials for your user.
Edit the node "Defines Video ID and Languages".
Click the Execute Workflow button.
Enjoy your translated video titles and descriptions!

More details can be found in the sticky notes under each node.

Requirements

To implement this workflow, you will need to configure credentials for the following nodes:

Fetch Video Information: YouTube Auth
- This of course, assumes that you have a YouTube account.
- The account creation and setup takes time, but luckily it's the only slow part, once done, you are good to go.
AI Agent Translator: Google Gemini (PaLM) API

Both credentials can be created directly inside the node by clicking it, then selecting “Create Credential to Connect With” and following the instructions provided by the n8n Assistant.

If you already have the credentials, simply select them!

No paid plan is required, free tiers are sufficient. Keep in mind the request limits if you extend or modify this workflow to do multiple videos at once.

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 Model1

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

Block 2 - Simple Memory

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

Block 3 - Structured Output Parser

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

Block 4 - Sticky Note2

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

Block 5 - Output URL

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

Block 6 - Sticky Note12

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

Block 7 - Fetches video information

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

Block 8 - Check languages to translate

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 9 - AI Agent Translator

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

Block 10 - Updates Video Localization

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

Block 11 - Sticky Note

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

Block 12 - Sticky Note1

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

Block 13 - When clicking 'Execute workflow'

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

Block 14 - Defines Video ID and Languages

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

3. Summary Table

Workflow	Auto-Translate YouTube Video Content with Google Gemini AI
Complexity	intermediate
Nodes	14
Categories	Content Creation, Multimodal AI
Author	Lucio
Published	12 Oct 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/9543/9543.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 Content Creation workflows Multimodal AI workflows

Frequently asked questions

What does Auto-Translate YouTube Video Content with Google Gemini AI 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 Content Creation, Multimodal AI use case.

Lucio

3 workflows

Nodes

@n8n/n8n-nodes-langchain.lmchatgooglegemini @n8n/n8n-nodes-langchain.memorybufferwindow @n8n/n8n-nodes-langchain.outputparserstructured n8n-nodes-base.stickynote n8n-nodes-base.set n8n-nodes-base.youtube n8n-nodes-base.code @n8n/n8n-nodes-langchain.agent

Complexity

intermediate

Published 12 Oct 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/9543/9543.json

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Auto-Translate YouTube Video Content with Google Gemini AI

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How it works

How to Use

Requirements

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Google Gemini Chat Model1

Block 2 - Simple Memory

Block 3 - Structured Output Parser

Block 4 - Sticky Note2

Block 5 - Output URL

Block 6 - Sticky Note12

Block 7 - Fetches video information

Block 8 - Check languages to translate

Block 9 - AI Agent Translator

Block 10 - Updates Video Localization

Block 11 - Sticky Note

Block 12 - Sticky Note1

Block 13 - When clicking 'Execute workflow'

Block 14 - Defines Video ID and Languages

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