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

⚡ 2,855 views · 🎬 Content Creation & Video

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Description

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.

🔗 Nodes Used

Google Sheets, HTTP Request, YouTube, AI Agent, Basic LLM Chain, Structured Output Parser

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup