MoneyPrinterTurbo (51K+ GitHub stars) turns a keyword into a complete short video β script, footage, subtitles, voiceover, and background music β fully automated. Input βbenefits of morning exerciseβ and get a publish-ready video with sourced clips, synced captions, and AI narration. For content creators drowning in repetitive production work (material stitching, subtitle alignment, audio sync), this automates the entire assembly line so you can focus on topic selection and strategy.
| *Source: GitHub: harry0703/MoneyPrinterTurbo | ι»εΊ΅Β·θΆ ηΊ§δΈͺδ½ Weibo recommendation* |
How It Works
Input: Keyword or topic
β
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β MoneyPrinterTurbo Pipeline β
β β
β 1. Script Generation (LLM) β
β β β
β 2. Video Material Sourcing β
β (royalty-free footage matching) β
β β β
β 3. Subtitle Generation β
β (Edge-TTS or Whisper) β
β β β
β 4. Voice Synthesis (TTS) β
β β β
β 5. Background Music β
β β β
β 6. Video Composition β
β (combine all β final video) β
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β
Output: HD short video ready to publish
(vertical or horizontal)
Supported Models
| Provider | Models |
|---|---|
| OpenAI | GPT-4, GPT-3.5 |
| Gemini | |
| DeepSeek | DeepSeek |
| Alibaba | Qwen |
| Local | Ollama (any local model) |
| Others | Moonshot, Azure, Pollinations, and more |
Subtitle modes: Edge (faster) or Whisper (higher quality).
Key Features
| Feature | Detail |
|---|---|
| One-click generation | Keyword β complete video, no manual steps |
| Batch generation | Generate multiple videos in sequence |
| Dual format | Vertical (9:16 for TikTok/Douyin) and horizontal (16:9 for YouTube) |
| Royalty-free footage | Auto-sources matching clips from free stock libraries |
| Multiple voices | Choose from various TTS voices and languages |
| Web UI | Browser-based interface on port 8501 |
| API | Programmatic access on port 8080 for integration |
Installation
# Docker (easiest)
git clone https://github.com/harry0703/MoneyPrinterTurbo.git
cd MoneyPrinterTurbo
docker-compose up
# Manual
python -m venv venv && source venv/bin/activate
pip install -r requirements.txt
# Install ImageMagick (required)
sh webui.sh # or webui.bat on Windows
Requirements: Python 3.11, ImageMagick, and an API key for at least one LLM provider (or Ollama for local).
The Content Assembly Line
This tool embodies the same pattern as Accio Work for business: AI handles production, humans handle strategy.
| Humanβs Job | AIβs Job |
|---|---|
| Choose the topic | Write the script |
| Define the audience | Find matching footage |
| Set the tone | Generate voice + subtitles |
| Review final output | Compose everything together |
For daily content creators β especially those producing 1-3 short videos per day β this eliminates hours of repetitive production work. The bottleneck shifts from βhow to make videosβ to βwhat videos are worth making.β
How LearnAI Team Could Use This
- Short-form lesson production β Turn AI tool explainers, workshop recaps, and glossary topics into draft short videos for review.
- Content operations training β Use the pipeline as a case study for separating human editorial judgment from automated production.
- Multilingual outreach β Generate first-pass narrated clips for different learner audiences.
- Automation curriculum β Demonstrate how LLMs, stock media, TTS, subtitles, and composition tools chain into one workflow.
Real-World Use Cases
- Solo creators producing daily TikTok, Shorts, or Douyin videos from topic lists.
- Marketing teams generating rough cuts for campaign ideas before handing finalists to editors.
- Educators turning lesson summaries into captioned explainer clips.
- Indie builders creating quick product update videos without a full editing workflow.