Generate multilingual audio content with OpenAI, ElevenLabs, Google Drive and Slack
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
Nodes used (9)
- Manual Trigger
n8n-nodes-base.manualTrigger - Edit Fields (Set)
n8n-nodes-base.set - OpenAI
@n8n/n8n-nodes-langchain.openAi - HTTP Request
n8n-nodes-base.httpRequest - If
n8n-nodes-base.if - Code
n8n-nodes-base.code - Aggregate
n8n-nodes-base.aggregate - Google Drive
n8n-nodes-base.googleDrive - Slack
n8n-nodes-base.slack
What it does
How It Works This workflow automates multilingual audio content creation for content creators, educators, and marketing teams distributing materials globally. It solves the challenge of producing high-quality, translated audio content at scale without manual intervention. Starting with source text, the system translates content into English, Spanish, French, and German using AI translation services, validates translation quality through automated scoring, generates natural-sounding audio using ElevenLabs text-to-speech technology, calculates audio metrics for quality assurance, combines all language versions into a single package, uploads to Google Drive for centralized storage, and sends Slack notifications for team collaboration. The workflow eliminates weeks of manual translation and voice recording work while maintaining consistent quality across all language variants. Setup Steps 1. Configure AI translation service credentials for multilingual processing 2. Add ElevenLabs API key and select voice models for each target language 3. Set quality threshold scores for translation validation gates 4. Connect Google Drive with designated folder for audio storage 5. Configure Slack webhook for team notifications with custom message Prerequisites AI translation API access (OpenAI/DeepL), ElevenLabs account with sufficient character quota Use Cases E-learning course localization, podcast multilingual distribution Customization Add additional languages, modify quality score thresholds Benefits Reduces content localization time by 95%, eliminates voice talent costs