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Post AI videos to YouTube with Fal AI Veo3, Google Sheets, and YouTube API

Ari NakosAri Nakos
2522 views
2/3/2026
n8n
Official Page

Auto-Post Veo3 Videos on YouTube

An automated workflow for creating Veo3 videos and posting them to YouTube.

YT Tutorial: https://youtu.be/DXM1VA-vDX4

Workflow Overview

The workflow is divided into three main phases:

  1. Create Veo3 Video
  2. Wait for Video Processing
  3. Post on YouTube

1. Create Veo3 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)
    • Video Category: A YouTube category for the video.
  • Get Specific Prompt: Based on the selected "Video Style," the workflow fetches specific prompt data from a Google Sheet.
  • Videography (AI Refinement): An AI agent (using OpenRouter's Google Gemini 2.5 Flash model) refines the user's prompt into a detailed "script-to-screen" format suitable for video generation.
  • Make FAL.AI Request: The refined prompt is sent to the Fal.ai Veo 3 model via an HTTP request to generate the video. The video duration is fixed at 8 seconds.
  • Store Data: Details of the video request, including the date requested, the refined prompt, and the request URL, are stored in a Google Sheet.

2. 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.

3. Post on 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-4.1 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.
    • YouTube Category: The appropriate YouTube category code based on the user's input.
    • 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, tags, and category.

Setup

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

  • OpenRouter: Generate API key from your OpenRouter account.
  • Google Sheets: Uses OAuth 2.0. Connect by authenticating your Google account.
  • YouTube Data API: Configure credentials to allow posting videos to YouTube.

If you do not have an n8n account, follow the tutorial at https://youtu.be/E2yQelHPUdU?feature=shared to get started.

n8n Workflow: Automate AI Video Posting to YouTube from Google Sheets

This n8n workflow automates the process of generating AI-powered video descriptions and tags, and then uploading videos to YouTube, all triggered by new entries in a Google Sheet. It leverages Fal.ai for video generation (via an HTTP Request), Google Sheets for data management, and the YouTube API for publishing.

What it does

This workflow streamlines the video publishing process through the following steps:

  1. Triggers on Form Submission: The workflow starts when a new form is submitted, likely containing initial video details.
  2. Retrieves Video Data from Google Sheets: It reads specific rows from a Google Sheet, presumably to get video URLs, titles, or other metadata.
  3. Generates AI Video Description and Tags:
    • It uses an AI Agent (powered by LangChain) to analyze the video title and generate a comprehensive description and relevant tags.
    • A Basic LLM Chain and OpenRouter Chat Model are configured to handle the AI text generation.
    • A Structured Output Parser ensures the AI output is formatted correctly (e.g., as JSON) for subsequent steps.
  4. Uploads Video to YouTube:
    • It takes the video URL (presumably from the Google Sheet) and the AI-generated description and tags.
    • It then uses the YouTube node to upload the video with the prepared metadata.
  5. Handles Video Generation (via Fal.ai):
    • An HTTP Request node is used to interact with the Fal.ai API, likely to trigger the creation of a video based on some input.
    • A Wait node is included to pause the workflow, allowing Fal.ai to complete the video generation before attempting to upload it.
  6. Updates Google Sheet (Implicit): Although not explicitly shown in the connections, it's highly probable that the workflow would update the Google Sheet with the YouTube video URL or status after a successful upload. This would typically be handled by a subsequent Google Sheets node.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Google Sheets Account: With a specific spreadsheet set up to store video information.
  • YouTube Account: With API access enabled for uploading videos.
  • Fal.ai Account/API Key: For generating AI videos.
  • OpenRouter API Key: For accessing the AI chat model used for description and tag generation.
  • LangChain Integration: Ensure your n8n instance has the LangChain nodes installed and configured.

Setup/Usage

  1. Import the Workflow: Download the JSON provided and import it into your n8n instance.
  2. Configure Credentials:
    • Set up Google Sheets credentials (OAuth 2.0 recommended) to allow n8n to read from your spreadsheet.
    • Configure YouTube credentials (OAuth 2.0 recommended) with permissions to upload videos.
    • Provide your OpenRouter API Key for the OpenRouter Chat Model node.
    • Configure any necessary authentication for the HTTP Request node to interact with Fal.ai.
  3. Customize Google Sheets Nodes:
    • Update the Google Sheets node to point to your specific spreadsheet and sheet name, and configure it to read the correct columns for video data.
  4. Customize AI Agent/Chain:
    • Review and adjust the prompts in the AI Agent and Basic LLM Chain nodes to fine-tune the video description and tag generation according to your needs.
    • Ensure the Structured Output Parser is correctly configured to parse the AI's response.
  5. Configure Fal.ai HTTP Request:
    • Update the HTTP Request node with the correct Fal.ai API endpoint, request method, and body to trigger your video generation process.
    • Adjust the Wait node duration as needed to accommodate Fal.ai's video generation time.
  6. Activate the Workflow: Once all credentials and configurations are set, activate the workflow. It will now run automatically upon new form submissions.
  7. Test: Submit a test form entry to your configured trigger to ensure the workflow runs as expected, generates the description, and uploads the video to YouTube.

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