Yashvi-Vekariya

Yashvi-Vekariya / ai-youtube-shorts-automation

Public

Autonomous YouTube Shorts automation system built with n8n, AI agents, and FFmpeg that discovers viral trends, generates scripts, creates videos, and uploads content automatically.

11
5
100% credibility
Found Mar 22, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This open-source project automates the discovery of trending topics, generation of scripts and voiceovers, assembly of stock footage into vertical videos, and uploading to YouTube Shorts using free local tools.

How It Works

1
🔍 Discover the Auto Video Maker

You find this free tool on GitHub that promises to create and post short videos to YouTube all by itself.

2
💻 Get it ready on your Windows PC

Download the folder, open it in a simple editor, and let it grab the free tools it needs to run.

3
🔗 Link free clip sources and your channel

Sign up for free at stock video sites for pictures and clips, and connect your YouTube channel so videos can upload automatically.

4
🎥 Create your first short video

Hit the test button and watch it pull hot topics, write a catchy script, add a real-sounding voice, grab clips, and build a polished vertical video ready to share.

5
⏰ Set it to run on autopilot

Turn on the scheduler to make it repeat the process every few hours, picking different topics each time.

6
📊 Watch progress on the dashboard

Check the simple screen anytime to see new videos posted, views coming in, and smart tips on improving.

🚀 Your YouTube channel grows effortlessly

Relax as fresh, engaging shorts appear on your channel daily, attracting views, likes, and new fans without lifting a finger.

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Star Growth

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AI-Generated Review

What is ai-youtube-shorts-automation?

This Python tool builds an ai-powered youtube shorts automation pipeline that runs entirely locally and free. It scrapes viral trends from Reddit, Hacker News, and Google Trends, then uses Ollama for script ideas and optimization, edge-tts for voiceovers, Pexels for stock footage, and FFmpeg to assemble 9:16 videos complete with subtitles, music, and thumbnails. Once built, it uploads directly to YouTube via their API, with built-in scheduling, a dashboard for status checks, and analytics tracking.

Why is it gaining traction?

It stands out for zero-cost operation—no paid APIs like OpenAI or ElevenLabs—while delivering a full autonomous youtube channel workflow, including multi-channel support for up to 20 shorts daily across niches like AI tech or psychology facts. Developers dig the CLI modes for testing (dry runs, single videos, batches) and Windows-first setup with auto-task scheduling, plus AI-driven feedback on performance. Early adopters get polished output without cloud dependencies.

Who should use this?

Faceless YouTube creators scaling tech, money, or facts channels who want hands-off posting. Devs prototyping ai youtube shorts automation or autonomous agents for content. Side-hustlers running multiple channels without constant monitoring.

Verdict

Worth forking for tinkerers—solid docs and one-command setup make it runnable fast, despite 11 stars and 1.0% credibility signaling early maturity. Test a dry run first; scale if your niche hooks.

(187 words)

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