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Convert Japanese scripts to multilingual speech with GPT-4 and ElevenLabs

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Important notice

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

1. Workflow Overview

How It Works This workflow provides enterprise grade translation and text to speech automation for international communication teams, content publishers, and localization services. It addresses pro...

Best for

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

Tools used

n8n-nodes-base.manualtrigger, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.agenttool, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.httprequest, n8n-nodes-base.code

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.

Original n8n.io source

1.1 Workflow description

Title
Convert Japanese scripts to multilingual speech with GPT-4 and ElevenLabs
Workflow name
Convert Japanese scripts to multilingual speech with GPT-4 and ElevenLabs

How It Works

This workflow provides enterprise-grade translation and text-to-speech automation for international communication teams, content publishers, and localization services. It addresses producing high-quality multilingual audio content with consistent accuracy and natural delivery at scale. An AI orchestrator analyzes source content to determine optimal translation strategy, selecting specialized agents based on content type, complexity, and target languages. The translation agent processes text with contextual awareness, generating structured output that feeds into ElevenLabs' neural text-to-speech engine. Each audio file undergoes automated quality validation checking pronunciation accuracy, natural flow, and technical specifications. High-quality outputs proceed to standardized formatting for delivery, while failures trigger dedicated error handling with diagnostic reporting, ensuring reliable production of professional multilingual audio assets.

Setup Steps

  1. Configure OpenAI API key in "Translation Orchestrator"
  2. Set up ElevenLabs credentials in "Text-to-Speech"
  3. Define source and target languages in "Workflow Configuration"
  4. Customize orchestration logic based on content types and complexity
  5. Set quality thresholds in "Audio Quality Validation" matching output

Prerequisites

OpenAI API access with GPT-4 capabilities, active ElevenLabs subscription.

Use Cases

Enterprise content localization, multilingual customer communications

Customization

Add language-specific translation agents, modify orchestration routing logic

Benefits

Delivers consistent translation quality through intelligent routing

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 - Manual Trigger

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

Block 2 - Workflow Configuration

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

Block 3 - Translation Orchestrator Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3.1

Block 4 - Translation Agent Tool

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

Block 5 - OpenAI Chat Model - Orchestrator

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

Block 6 - OpenAI Chat Model - Translation

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

Block 7 - Structured Output Parser - Orchestrator

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

Block 8 - Structured Output Parser - Translation

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

Block 9 - Prepare Translation Request

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

Block 10 - ElevenLabs Text-to-Speech

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.3

Block 11 - Audio Quality Validation

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

Block 12 - Check Audio Quality

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.3

Block 13 - Standardize Audio Output

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

Block 14 - Handle Quality Failure

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

Block 15 - Sticky Note

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

Block 16 - Sticky Note1

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

Block 17 - Sticky Note2

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

Block 18 - Sticky Note3

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

Block 19 - Sticky Note4

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

Block 20 - Sticky Note5

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

Block 21 - Sticky Note6

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

3. Summary Table

Workflow Convert Japanese scripts to multilingual speech with GPT-4 and ElevenLabs
Complexity advanced
Nodes 21
Categories Content Creation, Multimodal AI
Author Cheng Siong Chin
Published 02 Jan 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/12384/12384.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 Convert Japanese scripts to multilingual speech with GPT-4 and ElevenLabs do?

How It Works This workflow provides enterprise grade translation and text to speech automation for international communication teams, content publishers, and localization services. It addresses pro...

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.