MoneyPrinter turns one keyword into a YouTube Short with AI
MoneyPrinter uses AI to auto-generate YouTube Shorts from a single keyword — script, footage, subtitles, and music included. Over 50K GitHub stars combined.
Give an AI a keyword. Get a finished YouTube Short — complete with script, stock footage, subtitles, and background music. That's what MoneyPrinter does, and two versions of it have racked up over 66,000 GitHub stars combined.
MoneyPrinterV2 is trending on GitHub right now (+560 stars today), while its sibling project MoneyPrinterTurbo sits at 50,300 stars — making this one of the most popular AI content automation ecosystems on GitHub.
How it works: from keyword to finished video
The concept is simple. You type a topic — say, "best productivity apps 2026" — and the AI handles everything else:
1. Script generation — An AI language model (you can use local models via Ollama, or cloud options like OpenAI and DeepSeek) writes a short video script tailored to your topic.
2. Stock footage sourcing — The tool automatically finds matching video clips from free stock libraries.
3. Voice narration — Text-to-speech (AI that reads text aloud) generates a voiceover. V2 recently switched to KittenTTS for local voice generation.
4. Subtitles + music — Captions are auto-generated and synced, and background music is added.
5. Upload — The finished video can be automatically uploaded to YouTube or posted to Twitter/X.
The entire pipeline runs on your own computer — no cloud subscriptions required beyond whatever AI model you choose.
Two flavors: V2 and Turbo
The MoneyPrinter ecosystem has two main projects, each with a different focus:
MoneyPrinterTurbo's web interface — enter a topic, configure subtitle style and audio, then hit generate.
Why it's trending now
MoneyPrinterV2 gained 560 stars in a single day this week, likely driven by its recent switch to fully local AI. The March 2026 update replaced cloud-dependent services with:
- Ollama — run language models like Llama, Mistral, or Qwen on your own laptop for script writing
- KittenTTS — generate voice narration locally without paying for cloud text-to-speech
This means the entire video creation pipeline can now run 100% offline and free (after the initial setup). For creators concerned about recurring AI costs, this is a significant shift.
Who this is for
Content creators who need a steady stream of short-form video but don't have time to edit each one manually. Marketers experimenting with video content at scale. Small business owners who want social media presence without hiring a video editor.
A few important caveats: the tool is labeled "for educational purposes" by its creator. The auto-generated videos use stock footage, so they won't look like custom-filmed content. And as with any automation tool, platform policies on YouTube and Twitter may limit automated posting.
Try it yourself
MoneyPrinterTurbo (the version with a web interface) is the easiest to start with:
git clone https://github.com/harry0703/MoneyPrinterTurbo.git
cd MoneyPrinterTurbo
pip install -r requirements.txt
python main.py
For MoneyPrinterV2 (command-line version with Twitter/affiliate features):
git clone https://github.com/FujiwaraChoki/MoneyPrinterV2.git
cd MoneyPrinterV2
pip install -r requirements.txt
python src/main.py
Both require Python 3.12 and a configured AI model (Ollama for free local use, or an OpenAI/DeepSeek API key).
MoneyPrinterTurbo also offers an API interface for automating video creation programmatically.
The bigger picture
AI-powered content creation tools are evolving fast. What used to require a scriptwriter, video editor, voiceover artist, and social media manager can now be handled by a single open-source tool running on a laptop. MoneyPrinter won't replace professional video creators, but it's lowering the barrier for anyone who needs "good enough" content at scale.
With 66,000 combined GitHub stars and growing, MoneyPrinter is one of the clearest signs that AI content automation has moved from experiment to mainstream interest.
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