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Create & upload AI videos to YouTube with Kling 2.5 & auto-SEO

Ari NakosAri Nakos
193 views
2/3/2026
Text ProcessingURL ExtractionOpenAIAI SummaryEmail Extraction
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++What it is++

An automated workflow for creating Kling 2.5 videos and posting them to YouTube.

The workflow is divided into three main phases: 

  1. Create Kling 2.5 Video 
  2. Wait for Video Processing 
  3. Post to YouTube 

++Create Kling 2.5 Video++ 

This phase handles the initial video creation based on user input.

  • Type Prompt: A form trigger allows the user to input details for the video, including:

  • Prompt: A simple scenario for the video.

  • Video Style: (e.g., Dialogue, Monologue, Advertisement, Documentary)

  • Aspect Ratio: (e.g., 16:9, 9:16, 1:1)

  • Videography (AI Refinement): Refines the user’s prompt into a detailed “script-to-screen” format suitable for video generation.

  • FAL.AI Request: The refined prompt is sent to the Fal.ai Kling 2.5 model via an HTTP request to generate the video.

  • Store Data: Details of the video request, including the date requested, the refined prompt, and the request URL, are stored in a Google Sheet.

++Wait for Video Processing++

Wait 5 mins: The workflow pauses for 5 minutes. This waiting period is necessary as it typically takes 3–5 minutes for the video to be ready after the generation request.

++Post to YouTube++ 

This phase focuses on generating YouTube SEO details and uploading the video.

  • YT Video SEO (AI Generation): An AI agent (using OpenRouter’s OpenAI GPT-5 Mini model) acts as a YouTube SEO specialist and viral content strategist. It generates the following details for the YouTube video:

  • Video Title: A compelling title (less than 6 words).

  • Video Description: A detailed description.

  • Video Tags: Relevant tags to maximize discoverability.

  • The AI agent is configured to follow guidelines for virality and YouTube’s tag limits.

  • Structured Output: Parses the structured JSON output from the AI agent.

  • Get Keywords: Extracts and formats the video tags into a comma-separated list suitable for YouTube.

  • Fetch Video Credentials: Fetches the video URL and other credentials from Fal.ai.

  • Download Video: Downloads the generated video file.

  • Post on YouTube: The video is uploaded to YouTube using the generated title, description, and tags.

++Setup++

To run this workflow, you need to set up credentials in n8n for:

  • OpenRouter: Generate API key from your OpenRouter account. (Tutorial)

  • Google Sheets: Uses OAuth 2.0. Connect by authenticating your Google account.

  • YouTube Data API: Configure credentials to allow posting videos to YouTube (Follow this section of another Tutorial).

n8n Workflow: AI-Powered Video Creation and YouTube Upload with Auto-SEO

This n8n workflow automates the process of generating video ideas, creating video content, and uploading it to YouTube with optimized SEO elements, leveraging AI capabilities. It streamlines the content creation pipeline from a simple form submission to a published YouTube video.

What it does

This workflow performs the following key steps:

  1. Triggers on Form Submission: Initiates the workflow when a new submission is received via an n8n form.
  2. Generates Video Ideas & SEO Data:
    • Uses an AI Agent to generate a list of video ideas based on the form input.
    • Processes these ideas through a Code node to structure the data for further AI processing.
    • Utilizes a Basic LLM Chain with an OpenRouter Chat Model to generate comprehensive SEO data (title, description, tags) for each video idea.
    • Parses the structured output from the AI to ensure data consistency.
  3. Creates Video Content:
    • Uses an AI Agent to generate a video script or content based on the chosen video idea and SEO data.
    • Processes the generated content through another Code node to prepare it for the video creation step (the actual video creation step is implied but not explicitly defined as a separate node in the provided JSON, suggesting it might be an external service called via HTTP or a placeholder for future integration).
  4. Uploads to YouTube:
    • Uploads the generated video content to YouTube using the YouTube node.
    • Applies the AI-generated SEO title, description, and tags during the upload process.
  5. Logs to Google Sheets: Records the video details, including the generated content and YouTube upload status, into a Google Sheet for tracking and record-keeping.
  6. Introduces Delays: Incorporates Wait nodes to manage API rate limits or introduce pauses between steps, ensuring smooth execution.
  7. External API Interaction: Includes an HTTP Request node, suggesting potential integration with external video creation services or other APIs not directly represented by existing n8n nodes.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance to import and execute the workflow.
  • Google Sheets Account: Configured n8n credentials for Google Sheets to log video data.
  • YouTube Account: Configured n8n credentials for YouTube to upload videos.
  • OpenRouter Account/API Key: For the OpenRouter Chat Model to access various LLMs.
  • AI Agent Configuration: The AI Agent node and Basic LLM Chain node will require configuration, likely involving:
    • An LLM (Large Language Model), potentially through OpenRouter or another provider.
    • Tools for the AI Agent (though not explicitly defined in the JSON, agents typically use tools).
    • Specific prompts to guide the AI's content generation.

Setup/Usage

  1. Import the Workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Set up your Google Sheets credentials.
    • Set up your YouTube credentials.
    • Configure your OpenRouter credentials within the OpenRouter Chat Model node.
  3. Configure the "On Form Submission" Trigger:
    • Access the n8n Form Trigger node.
    • Define the form fields that will collect input for video ideas.
    • Copy the webhook URL provided by this node and use it to submit data to trigger the workflow.
  4. Customize AI Prompts:
    • Review and adjust the prompts within the AI Agent and Basic LLM Chain nodes to fine-tune the video idea generation, SEO optimization, and content creation according to your specific needs.
  5. Review Code Nodes:
    • Examine the Code nodes to understand how data is transformed and ensure it aligns with your expected data structures.
  6. Configure Google Sheets Node:
    • Specify the Spreadsheet ID and Sheet Name where the video data will be logged.
  7. Configure YouTube Node:
    • Ensure the YouTube node is set to upload videos and correctly maps the generated title, description, and tags.
  8. Activate the Workflow: Once all configurations are complete, activate the workflow in n8n.
  9. Trigger the Workflow: Submit data to the n8n Form Trigger to initiate the automated video creation and upload process.

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