Block 1 - Manual Trigger
- Type / Role
- n8n-nodes-base.manualTrigger - manualTrigger
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
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...
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
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.
Original n8n.io sourceThis 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.
OpenAI API access with GPT-4 capabilities, active ElevenLabs subscription.
Enterprise content localization, multilingual customer communications
Add language-specific translation agents, modify orchestration routing logic
Delivers consistent translation quality through intelligent routing
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.
| 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 |
Use the JSON export at /data/workflows/12384/12384.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
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...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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.