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Automate video translation from multiple sources with Rask AI

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Automate video translation from multiple sources with Rask AI preview
Open on n8n.io

Important notice

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

1. Workflow Overview

Rask AI Video Translation Workflow This workflow is designed to translate a video accessible by URL (supported sources: YouTube, Google Drive, S3, Vimeo, or a direct link) into [a language suppo...

Best for

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

Tools used

n8n-nodes-base.executeworkflowtrigger, n8n-nodes-base.httprequest, n8n-nodes-base.switch, n8n-nodes-base.wait, n8n-nodes-base.stickynote, n8n-nodes-base.stopanderror

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title
Automate video translation from multiple sources with Rask AI
Workflow name
Automate video translation from multiple sources with Rask AI

🎬 Rask AI Video Translation Workflow

This workflow is designed to translate a video accessible by URL (supported sources: YouTube, Google Drive, S3, Vimeo, or a direct link) into a language supported by Rask AI.

It automatically uploads your video, waits for it to finish processing, creates a translation project, and retrieves the final translated output.

You can use it to quickly build automations for localization, multilingual content creation, training materials, and more.

πŸ” Authentication

To run this workflow, make sure you have OAuth2 authentication configured in n8n under the name raskOAuth2.

Your OAuth2 credentials must include Client ID and Client Secret

You can find both in your Rask account settings:
πŸ‘‰ https://app.rask.ai/account

For details on Rask authentication, refer to the official documentation:
πŸ‘‰ https://docs.api.rask.ai/api-reference/authentication

Ensure that the raskOAuth2 authentication is selected in the following nodes: Upload media, Get media, Create project, Get project

These nodes interact with the Rask API and require valid credentials.

πŸ§ͺ Test Input

You can test the workflow using the following sample values (simply insert these values into your trigger or input node to run a full translation cycle end-to-end.):

  • link:
    https://static.rask.ai/samples/sample_1.mp4

  • dst_lang (target translation language):
    en-us


Happy Translating! 🌍✨

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 - When Executed by Another Workflow

Type / Role
n8n-nodes-base.executeWorkflowTrigger - executeWorkflowTrigger
Config choices
Version 1.1

Block 2 - Upload media

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

Block 3 - Get media

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

Block 4 - Switch media status

Type / Role
n8n-nodes-base.switch - switch
Config choices
Version 3.3

Block 5 - Create project

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

Block 6 - Get project

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

Block 7 - Wait media processing

Type / Role
n8n-nodes-base.wait - wait
Config choices
Version 1.1

Block 8 - Switch project status

Type / Role
n8n-nodes-base.switch - switch
Config choices
Version 3.3

Block 9 - Wait project processing

Type / Role
n8n-nodes-base.wait - wait
Config choices
Version 1.1

Block 10 - Sticky Note

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

Block 11 - Sticky Note1

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

Block 12 - Uploading failed

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

Block 13 - Processing failed

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

Block 14 - Sticky Note2

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

3. Summary Table

Workflow Automate video translation from multiple sources with Rask AI
Complexity intermediate
Nodes 14
Categories Content Creation, Multimodal AI
Author Victor
Published 04 Dec 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/11496/11496.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 Automate video translation from multiple sources with Rask AI do?

Rask AI Video Translation Workflow This workflow is designed to translate a video accessible by URL (supported sources: YouTube, Google Drive, S3, Vimeo, or a direct link) into [a language suppo...

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.