AI-Driven YouTube Metadata Generator with GPT-4o and Gemini Enrichment

Overview

This workflow automates the generation and enrichment of YouTube video metadata by leveraging advanced AI models like GPT-4o and Gemini. It streamlines the process from form submission to metadata update, ensuring optimized and engaging video content.

Key Features

• Form-Triggered Automation: Initiates on form submission to capture video details.
• YouTube Integration: Retrieves video data directly from YouTube for processing.
• AI Content Enrichment: Uses GPT-4o and Gemini to generate and enhance titles, descriptions, and tags.
• Content Extraction: Gathers related post URLs and site map data for comprehensive context.
• Data Processing: Converts XML to JSON, splits and aggregates URLs, and prepares data for enrichment.

Benefits

• Time Savings: Eliminates manual metadata creation, reducing workload and turnaround time.
• SEO Optimization: AI-generated metadata improves discoverability and engagement.
• Consistency: Ensures uniform quality and relevance across all video uploads.

Use Cases

• Marketing Teams: Enhance video SEO and engagement with minimal effort.
• Content Managers: Streamline bulk video uploads and updates.
• YouTube Creators: Automate repetitive tasks and focus on content creation.

Integrations & Automation

Key integrations include YouTube API, AI models (GPT-4o, Gemini), and web data extraction. The workflow processes data through 37 nodes, combining form inputs, HTTP requests, XML/JSON conversion, and aggregation for seamless automation.