Back to Catalog

Fully automated AI video generation & multi-platform publishing

Juan Carlos Cavero GraciaJuan Carlos Cavero Gracia
209568 views
2/3/2026
Official Page

Description

This comprehensive n8n automation template orchestrates a complete end-to-end workflow for generating engaging short-form Point-of-View (POV) style videos using multiple AI services and automatically publishing them across major social media platforms. It takes ideas from a Google Sheet and transforms them into finished videos with captions, voiceovers, and platform-specific descriptions, ready for distribution.

Who Is This For?

  • Content Creators & Agencies: Mass-produce unique short-form video content for various clients or channels with minimal manual effort.
  • Digital Marketers: Automate video content pipelines to boost online presence and engagement across multiple platforms simultaneously.
  • Social Media Managers: Schedule and distribute consistent video content efficiently without juggling multiple tools and manual uploads.
  • Businesses: Leverage AI to create branded video content for marketing, reducing production time and costs.

What Problem Does This Workflow Solve?

Creating and distributing high-quality short-form video content consistently across multiple social networks is incredibly time-consuming and resource-intensive. This workflow tackles these challenges by:

  • Automating Idea-to-Video Pipeline: Generates video concepts, image prompts, scripts, images, video clips, and voiceovers using AI.
  • Streamlining Video Assembly: Automatically combines generated assets into a final video using a template.
  • Generating Platform-Optimized Descriptions: Creates relevant descriptions for posts by transcribing the final video audio.
  • Automating Multi-Platform Publishing: Uploads the final video and description to TikTok, Instagram, YouTube, Facebook, and LinkedIn simultaneously.
  • Reducing Manual Workload: Drastically cuts down the time and effort required for video production and distribution.
  • Centralized Tracking: Updates a Google Sheet with results, costs, and status for easy monitoring.

How It Works

  1. Trigger & Input: Runs on a daily schedule (configurable) and fetches new video ideas from a designated Google Sheet.
  2. AI Content Generation:
    • Uses OpenAI to generate video captions and image prompts based on the idea.
    • Uses PiAPI (Flux) to generate images from prompts.
    • Uses PiAPI (Kling) to generate video clips from the images (Image-to-Video).
    • Uses OpenAI to generate a voiceover script based on the captions.
    • Uses ElevenLabs to generate voiceover audio from the script and uploads it to Google Drive.
  3. Video Assembly: Combines the generated video clips, captions, and voiceover audio using a Creatomate template to render the final video.
  4. Description Generation: Uploads the final video to Google Drive, extracts the audio using OpenAI (Whisper), and generates a social media description using OpenAI (GPT).
  5. Multi-Platform Distribution: Uses upload-post.com to upload the final video and generated description to TikTok, Instagram, YouTube, Facebook, and LinkedIn.
  6. Tracking & Notification: Updates the original Google Sheet row with output details (video link, costs, tokens used) and sends a completion notification via Discord.

Setup

  1. Accounts & API Keys: Obtain accounts and generate API keys/credentials for:
    • n8n
    • Google Cloud Platform (for Google Sheets & Google Drive APIs + OAuth Credentials)
    • OpenAI
    • PiAPI
    • ElevenLabs
    • Creatomate
    • upload-post.com
    • Discord (Webhook URL)
  2. Google Sheet: Make a copy of the provided Google Sheet Template and connect it in the Load Google Sheet node.
  3. Creatomate Template: Set up a video template in Creatomate (use the provided JSON source code as a base) and note its Template ID.
  4. Configure Nodes:
    • Enter all API Keys/Credentials in the Set API Keys node and other relevant credential sections (Google nodes, upload-post nodes, etc.).
    • Configure Google Drive nodes (Folder IDs, Permissions).
    • Configure the upload-post.com nodes with your user identifier and necessary platform details (e.g., Facebook Page ID).
    • Customize AI prompts within the OpenAI nodes (Generate Video Captions, Generate Image Prompts, Generate Script, Generate Description...) if desired.
    • Set the Discord Webhook URL in the Notify me on Discord node.
  5. Enable Google APIs: Ensure Google Drive API and Google Sheets API are enabled in your Google Cloud Project.

Requirements

  • Accounts: n8n, Google (Sheets, Drive, Cloud Platform), OpenAI, PiAPI, ElevenLabs, Creatomate, The social media api Upload-Post, Discord.
  • API Keys & Credentials: API Keys for OpenAI, PiAPI, ElevenLabs, Creatomate, upload-post.com. Google Cloud OAuth 2.0 Credentials. Discord Webhook URL.
  • Templates: A configured Google Sheet based on the template, a configured Creatomate video template.
  • (Potentially) Paid Plans: Some services (OpenAI, PiAPI, Creatomate, upload-post.com) may require paid plans depending on usage volume after free trials/credits are exhausted.

Use this template to build a powerful, automated video content factory, scaling your production and distribution efforts across the social media landscape.

n8n AI Video Generation and Multi-Platform Publishing Workflow

This n8n workflow automates the entire process of generating AI-powered videos and publishing them across multiple platforms. It streamlines content creation, from initial data input to final distribution, making it ideal for content creators, marketers, and businesses looking to scale their video output efficiently.

What it does

This workflow automates the following steps:

  1. Triggers on a Schedule: The workflow starts at predefined intervals, ensuring a consistent content pipeline.
  2. Reads Data from Google Sheets: It fetches video ideas, scripts, or other relevant data from a specified Google Sheet, acting as the central content management system.
  3. Generates AI Video Content (via HTTP Request): It sends a request to an external AI video generation service (e.g., a custom API or another n8n workflow exposing an endpoint) to create the video based on the data from Google Sheets.
  4. Processes AI Video Response: It receives the response from the AI video generation service.
  5. Performs Conditional Logic:
    • If video generation is successful:
      • It reads the generated video file (binary data).
      • It saves the video file to Google Drive for archival and easy access.
      • It writes the video file locally (potentially for further processing or temporary storage).
      • It posts a notification with the video to a Discord channel.
    • If video generation fails:
      • It posts an error notification to a Discord channel, alerting the team to the failure.
  6. Transforms and Sets Data: It manipulates and sets data fields as needed throughout the workflow for consistent processing.
  7. Waits (Conditional): It includes a Wait node, which might be used for rate limiting, allowing time for external services to process, or for manual review in a Human-in-the-Loop (HITL) scenario (though not explicitly configured as HITL in this JSON).
  8. Merges Paths: It combines the successful and failed video generation paths to continue the workflow, potentially for logging or final status updates.
  9. Utilizes OpenAI (Optional/Advanced): The presence of an OpenAI node suggests potential for advanced AI capabilities such as script generation, content summarization, or metadata creation before or after video generation.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Google Sheets Account: Configured credentials for Google Sheets to read input data.
  • Google Drive Account: Configured credentials for Google Drive to save generated videos.
  • Discord Account: Configured credentials for Discord to send notifications.
  • AI Video Generation Service: Access to an external AI video generation API or service that can be called via HTTP requests. This service should accept input (e.g., script, parameters) and return a video file or a link to one.
  • OpenAI API Key (Optional): If leveraging the OpenAI node for additional AI tasks.
  • Local File System Access: If the Read Binary File and Write Binary File nodes are configured to interact with the local file system where n8n is running.

Setup/Usage

  1. Import the Workflow:
    • Copy the provided JSON code.
    • In your n8n instance, go to "Workflows" and click "New".
    • Click the "Import from JSON" button and paste the copied JSON.
  2. Configure Credentials:
    • Locate the "Google Sheets", "Google Drive", and "Discord" nodes.
    • Click on each node and configure your respective credentials. If you don't have them set up, n8n will guide you through creating new OAuth2 or API key credentials.
  3. Configure AI Video Generation HTTP Request:
    • Find the "HTTP Request" node (ID 19).
    • Update the URL, headers (e.g., API keys), and body to match the requirements of your chosen AI video generation service.
  4. Configure Google Sheets Input:
    • In the "Google Sheets" node (ID 18), specify the Spreadsheet ID and Sheet Name from which the workflow should read data.
  5. Configure Google Drive Output:
    • In the "Google Drive" node (ID 58), specify the Folder ID where the generated videos should be saved.
  6. Configure Discord Notifications:
    • In the "Discord" nodes (ID 60), configure the channel ID and message content for success and failure notifications.
  7. Adjust Schedule Trigger:
    • Modify the "Schedule Trigger" node (ID 839) to set your desired frequency for the workflow to run (e.g., daily, hourly).
  8. Activate the Workflow:
    • Once all configurations are complete, save and activate the workflow.

This workflow provides a robust foundation for automating AI video creation and distribution, significantly reducing manual effort and accelerating content delivery.

Related Templates

Track competitor SEO keywords with Decodo + GPT-4.1-mini + Google Sheets

This workflow automates competitor keyword research using OpenAI LLM and Decodo for intelligent web scraping. Who this is for SEO specialists, content strategists, and growth marketers who want to automate keyword research and competitive intelligence. Marketing analysts managing multiple clients or websites who need consistent SEO tracking without manual data pulls. Agencies or automation engineers using Google Sheets as an SEO data dashboard for keyword monitoring and reporting. What problem this workflow solves Tracking competitor keywords manually is slow and inconsistent. Most SEO tools provide limited API access or lack contextual keyword analysis. This workflow solves that by: Automatically scraping any competitor’s webpage with Decodo. Using OpenAI GPT-4.1-mini to interpret keyword intent, density, and semantic focus. Storing structured keyword insights directly in Google Sheets for ongoing tracking and trend analysis. What this workflow does Trigger — Manually start the workflow or schedule it to run periodically. Input Setup — Define the website URL and target country (e.g., https://dev.to, france). Data Scraping (Decodo) — Fetch competitor web content and metadata. Keyword Analysis (OpenAI GPT-4.1-mini) Extract primary and secondary keywords. Identify focus topics and semantic entities. Generate a keyword density summary and SEO strength score. Recommend optimization and internal linking opportunities. Data Structuring — Clean and convert GPT output into JSON format. Data Storage (Google Sheets) — Append structured keyword data to a Google Sheet for long-term tracking. Setup Prerequisites If you are new to Decode, please signup on this link visit.decodo.com n8n account with workflow editor access Decodo API credentials OpenAI API key Google Sheets account connected via OAuth2 Make sure to install the Decodo Community node. Create a Google Sheet Add columns for: primarykeywords, seostrengthscore, keyworddensity_summary, etc. Share with your n8n Google account. Connect Credentials Add credentials for: Decodo API credentials - You need to register, login and obtain the Basic Authentication Token via Decodo Dashboard OpenAI API (for GPT-4o-mini) Google Sheets OAuth2 Configure Input Fields Edit the “Set Input Fields” node to set your target site and region. Run the Workflow Click Execute Workflow in n8n. View structured results in your connected Google Sheet. How to customize this workflow Track Multiple Competitors → Use a Google Sheet or CSV list of URLs; loop through them using the Split In Batches node. Add Language Detection → Add a Gemini or GPT node before keyword analysis to detect content language and adjust prompts. Enhance the SEO Report → Expand the GPT prompt to include backlink insights, metadata optimization, or readability checks. Integrate Visualization → Connect your Google Sheet to Looker Studio for SEO performance dashboards. Schedule Auto-Runs → Use the Cron Node to run weekly or monthly for competitor keyword refreshes. Summary This workflow automates competitor keyword research using: Decodo for intelligent web scraping OpenAI GPT-4.1-mini for keyword and SEO analysis Google Sheets for live tracking and reporting It’s a complete AI-powered SEO intelligence pipeline ideal for teams that want actionable insights on keyword gaps, optimization opportunities, and content focus trends, without relying on expensive SEO SaaS tools.

Ranjan DailataBy Ranjan Dailata
161

Two-way property repair management system with Google Sheets & Drive

This workflow automates the repair request process between tenants and building managers, keeping all updates organized in a single spreadsheet. It is composed of two coordinated workflows, as two separate triggers are required — one for new repair submissions and another for repair updates. A Unique Unit ID that corresponds to individual units is attributed to each request, and timestamps are used to coordinate repair updates with specific requests. General use cases include: Property managers who manage multiple buildings or units. Building owners looking to centralize tenant repair communication. Automation builders who want to learn multi-trigger workflow design in n8n. --- ⚙️ How It Works Workflow 1 – New Repair Requests Behind the Scenes: A tenant fills out a Google Form (“Repair Request Form”), which automatically adds a new row to a linked Google Sheet. Steps: Trigger: Google Sheets rowAdded – runs when a new form entry appears. Extract & Format: Collects all relevant form data (address, unit, urgency, contacts). Generate Unit ID: Creates a standardized identifier (e.g., BUILDING-UNIT) for tracking. Email Notification: Sends the building manager a formatted email summarizing the repair details and including a link to a Repair Update Form (which activates Workflow 2). --- Workflow 2 – Repair Updates Behind the Scenes:\ Triggered when the building manager submits a follow-up form (“Repair Update Form”). Steps: Lookup by UUID: Uses the Unit ID from Workflow 1 to find the existing row in the Google Sheet. Conditional Logic: If photos are uploaded: Saves each image to a Google Drive folder, renames files consistently, and adds URLs to the sheet. If no photos: Skips the upload step and processes textual updates only. Merge & Update: Combines new data with existing repair info in the same spreadsheet row — enabling a full repair history in one place. --- 🧩 Requirements Google Account (for Forms, Sheets, and Drive) Gmail/email node connected for sending notifications n8n credentials configured for Google API access --- ⚡ Setup Instructions (see more detail in workflow) Import both workflows into n8n, then copy one into a second workflow. Change manual trigger in workflow 2 to a n8n Form node. Connect Google credentials to all nodes. Update spreadsheet and folder IDs in the corresponding nodes. Customize email text, sender name, and form links for your organization. Test each workflow with a sample repair request and a repair update submission. --- 🛠️ Customization Ideas Add Slack or Telegram notifications for urgent repairs. Auto-create folders per building or unit for photo uploads. Generate monthly repair summaries using Google Sheets triggers. Add an AI node to create summaries/extract relevant repair data from repair request that include long submissions.

Matt@VeraisonLabsBy Matt@VeraisonLabs
208

Generate song lyrics and music from text prompts using OpenAI and Fal.ai Minimax

Spark your creativity instantly in any chat—turn a simple prompt like "heartbreak ballad" into original, full-length lyrics and a professional AI-generated music track, all without leaving your conversation. 📋 What This Template Does This chat-triggered workflow harnesses AI to generate detailed, genre-matched song lyrics (at least 600 characters) from user messages, then queues them for music synthesis via Fal.ai's minimax-music model. It polls asynchronously until the track is ready, delivering lyrics and audio URL back in chat. Crafts original, structured lyrics with verses, choruses, and bridges using OpenAI Submits to Fal.ai for melody, instrumentation, and vocals aligned to the style Handles long-running generations with smart looping and status checks Returns complete song package (lyrics + audio link) for seamless sharing 🔧 Prerequisites n8n account (self-hosted or cloud with chat integration enabled) OpenAI account with API access for GPT models Fal.ai account for AI music generation 🔑 Required Credentials OpenAI API Setup Go to platform.openai.com → API keys (sidebar) Click "Create new secret key" → Name it (e.g., "n8n Songwriter") Copy the key and add to n8n as "OpenAI API" credential type Test by sending a simple chat completion request Fal.ai HTTP Header Auth Setup Sign up at fal.ai → Dashboard → API Keys Generate a new API key → Copy it In n8n, create "HTTP Header Auth" credential: Name="Fal.ai", Header Name="Authorization", Header Value="Key [Your API Key]" Test with a simple GET to their queue endpoint (e.g., /status) ⚙️ Configuration Steps Import the workflow JSON into your n8n instance Assign OpenAI API credentials to the "OpenAI Chat Model" node Assign Fal.ai HTTP Header Auth to the "Generate Music Track", "Check Generation Status", and "Fetch Final Result" nodes Activate the workflow—chat trigger will appear in your n8n chat interface Test by messaging: "Create an upbeat pop song about road trips" 🎯 Use Cases Content Creators: YouTubers generating custom jingles for videos on the fly, streamlining production from idea to audio export Educators: Music teachers using chat prompts to create era-specific folk tunes for classroom discussions, fostering interactive learning Gift Personalization: Friends crafting anniversary R&B tracks from shared memories via quick chats, delivering emotional audio surprises Artist Brainstorming: Songwriters prototyping hip-hop beats in real-time during sessions, accelerating collaboration and iteration ⚠️ Troubleshooting Invalid JSON from AI Agent: Ensure the system prompt stresses valid JSON; test the agent standalone with a sample query Music Generation Fails (401/403): Verify Fal.ai API key has minimax-music access; check usage quotas in dashboard Status Polling Loops Indefinitely: Bump wait time to 45-60s for complex tracks; inspect fal.ai queue logs for bottlenecks Lyrics Under 600 Characters: Tweak agent prompt to enforce fuller structures like [V1][C][V2][B][C]; verify output length in executions

Daniel NkenchoBy Daniel Nkencho
601