How to Automate YouTube Shorts Creation from RSS Feeds Using AI Tools

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A technical guide published on ffmpeg-micro.com outlines a five-stage automated pipeline that converts new RSS feed articles into YouTube Shorts without manual intervention. The workflow begins with an RSS trigger in tools like n8n or Make.com, which detects new posts and extracts their content. A large language model then rewrites the article into a 30–60 second script, which is converted to audio using text-to-speech services such as ElevenLabs or OpenAI TTS. FFmpeg Micro is used to composite the narration audio over a vertical background video and add a text overlay, producing a finished MP4 file. The completed Short is then uploaded directly to YouTube using the platform's Data API, with n8n offering a built-in node to handle that final step.

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