Automated YouTube Scheduling & AI Metadata Generation
Automates YouTube video uploads by generating AI-optimized metadata, extracting transcripts via Apify, setting videos private, and scheduling strategic releases.
This workflow streamlines YouTube content publishing for creators by automating the entire process from transcript extraction to scheduled release. It triggers daily, retrieves unpublished videos, sets them to private, pulls transcripts using Apify, and leverages AI to generate SEO-optimized titles, descriptions, tags, and thumbnails. Videos are then updated and scheduled for optimal publishing times, ensuring consistent branding and maximum visibility.
Key benefits include massive time savings on manual metadata creation, improved SEO through AI-driven optimization, and reliable scheduling to avoid peak upload errors. It handles multiple videos in batches via loops, maintains privacy during prep, and formats content professionally, reducing errors and boosting channel growth.
Ideal for content creators, marketing teams, and channel managers managing high-volume uploads. Use cases: solopreneurs scaling video production, agencies handling client channels, or teams automating daily/weekly content drops with minimal oversight.
The workflow features 15+ nodes including schedulers, YouTube API integrations, Apify for transcripts, AI generation, and data formatting loops for robust, scalable automation.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
Related bundle
YouTube Creator Pipeline
8 hand-picked workflows for $39.00.
That is $4.88 each, vs $24.99 for this one alone.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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