🎬 AI Video Factory Automator

🚀 Overview

The AI Video Factory is a modular, production-ready automation workflow that:

• Generates AI videos via Veo3 (Google Vertex AI)
• Automatically creates captions, hashtags, and titles using Gemini (PaLM)
• Uploads results to Google Drive
• Logs metadata in Google Sheets
• Publishes to YouTube automatically
• Sends Succesfully Created emails via Gmail

🧩 Key Features

🧭 Workflow Path: Schedule Trigger → Idea Generator → Gemini → Veo3 API → Drive → YouTube → Sheets → Gmail

1. Idea Generation Pipeline

AI-powered creative concept generation

↓ Output ↓

Structured Data in Google Sheets

Generated Fields:

• Caption: Viral-ready title with emoji and hashtags
• Idea: Concise concept under 13 words
• Environment: Visual setting description
• Status: "for production" flag

4. ☁️ File Processing & Upload

From AI-rendered data to published content — this segment converts, uploads, and organizes your video files seamlessly across Google services.

🧩 Workflow Segment — Base64 → MP4 Conversion → Drive Upload → YouTube Upload → Data Merge for Logging

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🎞️ Output 1 — Base64 to MP4 Conversion

💾 The Base64 → MP4 Converter node decodes raw Veo3 output into a playable video file.
🧱 Prepares the final media for parallel uploads and metadata handling.

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☁️ Output 2 — Google Drive Upload

📂 The Google Drive Upload node stores the generated MP4 in your designated Drive folder.
✅ Automatically assigns file names with timestamps and project tags.

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📺 Output 3 — YouTube Upload with Metadata

🎬 The YouTube Upload node publishes videos directly with AI-generated title, description, hashtags, and thumbnail.
🚀 End-to-end automated publishing in one click.

🎥 Output — YouTube Upload & Gmail Success

✉️ Gmail Success Notification Automated success email with video details and preview links.

📺 YouTube Upload Seamless AI-to-YouTube upload — fully automated with title, caption, and tags.

🔧 Core Modules & Nodes

🧩 Client Setup Guide

• Before running the workflow, configure your API credentials securely.

• Use the interactive Client Setup Guide 🌐 to walk through the step-by-step onboarding process and securely link your API credentials with n8n.

🧱 All credentials should be created within the n8n Credentials Manager — never hardcode secrets in the workflow.

🗂 Repository Structure

AI-Video-Factory-Veo3-Automation-Pipeline/
│
├── 📄 README.md                              # Main project documentation 
├── 🧠 AI Video Factory Automator-Veo3.json   # Import-ready n8n workflow
├── 📊 Veo3_AI_Video_Generator.xlsx           # Client-side input/log sheet
├── ⚙️ LICENSE
├── 🧩 assets/
│   ├── banner.png                        # Main banner / cover
│   ├── workflow-overview.png             # Overall workflow view
│   ├── idea_generator.png                # Idea generator section
│   ├── veo3_video_generation.png         # Veo3 generation overview
│   ├── veo3_output.png                   # Veo3 prompt + API setup output
│   ├── veo3_rendered_output.png          # Veo3 rendered video output
│   ├── file_processing_upload.png        # File conversion + upload flow
│   ├── drive_upload_output.png           # Drive upload result
│   ├── youtube_upload_output.png         # YouTube upload result
│   ├── gmail_success.gif                 # Gmail success demo (animated)
│   ├── youtube_upload.gif                # YouTube upload demo (animated)
│   ├── logging_notification.png          # Sheets + notification section
│   ├── success_failure_flow.png          # Smart wait & retry visualization
│   ├── failure_mail.png                  # Email fail alert
│   └── ...                               # (other supporting images consolidated here)
└── 📁 docs/
├── client_setup_guide.html
├── package.json
└── Troubleshooting.md

🛠️ Installation

Follow these steps to set up and run the AI Video Factory — Veo3 Automation Pipeline on your system:

1️⃣ Clone the Repository

• Clone the repository to your local environment and navigate into the project folder.

    git clone https://github.com/dineshbarri/AI-Video-Factory-Veo3-Automation-Pipeline.git
    cd AI-Video-Factory-Veo3-Automation-Pipeline

2️⃣ Import the Workflow into n8n

• Open your n8n instance (Cloud or Local).
• Click Import Workflow → Upload JSON, and select the file:
  AI Video Factory Automator-Veo3.json
• Once imported, the workflow nodes and credentials structure will load automatically into your n8n dashboard.

3️⃣ Configure Credentials

4️⃣ Test & Verify

✅ All credentials connected
✅ Google Sheets logging active  
✅ Drive uploads working
✅ YouTube publishing live
✅ Email notifications sending

💰 Cost Optimization

🎯 Performance Metrics

• ⚡ Generation Time: 2-5 minutes per video
• ✅ Success Rate: 95%+ with smart retry logic
• 📊 Monthly Capacity: 500+ videos
• 🔄 Retry Attempts: 0-2 average with progressive backoff
• 📱 Output Quality: 9:16 HD mobile-optimized format

📈 Estimated Costs

📞 Need Help?

📜 License

This project is licensed under the MIT License - see the LICENSE file for complete details.

MIT License © 2025 Dinesh Barri

👤 Author

  Dinesh Barri

⭐ Feedback & Contributions

• 🐛 Report Bugs - Create detailed issue reports
• 💡 Suggest Features - Share your ideas for improvement
• 🔧 Submit PRs - Code improvements and new features
• 📚 Improve Docs - Better documentation and examples