This workflow automates the end-to-end process of video dubbing using ElevenLabs, storage on Google Drive, and publishi…
This workflow automates the end-to-end process of video dubbing using ElevenLabs, storage on Google Drive, and publishing on Youtube. This workflow is ideal for creators, agencies, and media teams that need to TRANSLATE process and publish large volumes of video content consistently. For this workflow, I started from my Italian YouTube Short, and by applying the same workflow, the result was this English version. Key Advantages 1. ✅ Full Automation of Video Localization The entire process—from video download to AI dubbing and publishing—is automated, eliminating manual steps and reducing human error. 2. ✅ Fast Multilingual Content Scaling With AI-powered dubbing, the same video can be quickly localized into different languages, enabling global audience expansion. 3. ✅ Efficient Time Management The workflow intelligently waits for the dubbing process to finish using dynamic timing, avoiding unnecessary retries or failures. 4. ✅ Centralized Content Distribution A single workflow handles storage, social posting, and YouTube uploads, simplifying content operations across platforms. 5. ✅ Reduced Operational Costs Automating dubbing and publishing significantly lowers costs compared to manual voiceovers, video editing, and uploads. 6. ✅ Easy Customization & Reusability Parameters like video URL, language, title, and platform can be easily changed, making the workflow reusable for different projects or clients. How It Works The workflow begins with a manual trigger that sets input parameters: a video URL and the target language for dubbing (e.g., en for English). The video is fetched from the provided URL via an HTTP request. The video file is sent to the ElevenLabs Dubbing API, which initiates audio dubbing in the specified target language. The workflow then waits for a calculated duration (video length + 120 seconds) to allow the dubbing process to complete. After the wait, it checks the dubbing status using the dubbing_id and retrieves the final dubbed audio file. The dubbed video is then processed in parallel: Uploaded to Google Drive in a designated folder. Uploaded to Postiz for social media management. Uploaded via Upload-Post.com API for YouTube publishing. Finally, the workflow triggers a Postiz node to schedule or publish the content to YouTube with the prepared metadata. Set Up Steps Configure Input Parameters In the Set params node, define: video_url: Direct URL to the source video. target_audio: Language code (e.g., en, es, fr) for dubbing. Set Up Credentials Ensure the following credentials are configured in n8n: ElevenLabs API (for dubbing) Google Drive OAuth2 (for file upload) Postiz API (for social media scheduling) Upload-Post.com API (for YouTube upload) Adjust Wait Time Modify the Wait node if needed: expected_duration_sec + 120 ensures enough time for dubbing. Adjust based on video length. Customize Upload Destinations Update folder IDs (Google Drive) and platform settings (Upload-Post.com) as needed. Set Post Content In the Youtube Postiz and Youtube Upload-Post nodes, replace YOUR_CONTENT and YOUR_USERNAME with actual titles, descriptions, and channel details. Activate and Test Activate the workflow in n8n, click Execute workflow, and monitor execution for errors. Ensure all API keys and permissions are valid. 👉 Subscribe to my new YouTube channel. Here I’ll share videos and Shorts with practical tutorials and FREE templates for n8n. Need help customizing? Contact me for consulting and support or add me on Linkedin. An n8n automation workflow template by Davide Boizza.
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