Translate 🎙️and upload dubbed YouTube videos 📺 using ElevenLabs AI Dubbing
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](https://iframe.mediadelivery.net/play/580928/c445daec-e3fe-4019-b035-58ac3bf386dd), and by applying the same workflow, the result was this [English version](https://iframe.mediadelivery.net/play/580928/2179db44-e7e2-43e6-82a1-13b12e18ba8b).
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### 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.
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### **How It Works**
1. 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).
2. The video is fetched from the provided URL via an HTTP request.
3. The video file is sent to the **ElevenLabs Dubbing API**, which initiates audio dubbing in the specified target language.
4. The workflow then waits for a calculated duration (video length + 120 seconds) to allow the dubbing process to complete.
5. After the wait, it checks the dubbing status using the `dubbing_id` and retrieves the final dubbed audio file.
6. 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.
7. Finally, the workflow triggers a **Postiz** node to schedule or publish the content to YouTube with the prepared metadata.
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### **Set Up Steps**
1. **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.
2. **Set Up Credentials**
Ensure the following credentials are configured in n8n:
- **[ElevenLabs API](https://try.elevenlabs.io/ahkbf00hocnu)** (for dubbing)
- **Google Drive OAuth2** (for file upload)
- **[Postiz API](https://affiliate.postiz.com/n3witalia)** (for social media scheduling)
- **[Upload-Post.com API](https://www.upload-post.com/?linkId=lp_144414&sourceId=n3witalia&tenantId=upload-post-app)** (for YouTube upload)
3. **Adjust Wait Time**
Modify the *Wait* node if needed:
`expected_duration_sec + 120` ensures enough time for dubbing. Adjust based on video length.
4. **Customize Upload Destinations**
Update folder IDs (Google Drive) and platform settings (Upload-Post.com) as needed.
5. **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.
6. **Activate and Test**
Activate the workflow in n8n, click *Execute workflow*, and monitor execution for errors. Ensure all API keys and permissions are valid.
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### **Need help customizing?**
[Contact me](mailto:[email protected]) for consulting and support or add me on [Linkedin](https://www.linkedin.com/in/davideboizza/).
2.Click test workflow.
3.Get the final video in the last node.
