MoneyPrinterTurbo

MoneyPrinterTurbo is an all-in-one AI short video generation tool. By providing a video topic or keywords, the tool automatically generates video scripts, matches media assets, generates subtitles and background music, and synthesizes high-definition short videos.

It offers four primary usage modes:

• AI Agent
• WebUI
• API
• CLI

The project is designed with a layered architecture separating controllers, services, and models.

MoneyPrinterTurbo supports multiple TTS (Text-to-Speech) providers. The default is Edge TTS (labeled as Azure TTS V1 in the WebUI), which is free and requires no API key.

Supported providers include:

• Edge TTS (Free)
• Azure TTS V2 (Requires credentials)
• SiliconFlow TTS
• Google Gemini TTS
• Xiaomi MiMo TTS
• ElevenLabs TTS
• Chatterbox TTS (Self-hosted)
• No-voice mode

Select your provider and voice in the WebUI. Cloud providers like Azure require you to enter your credentials in the settings.

MoneyPrinterTurbo is a cross-platform tool (Windows 10, macOS 11.0+, or mainstream Linux). While a GPU is not strictly required, it is highly recommended for local transcription (using faster-whisper), faster video processing, and smoother batch generation. If you rely primarily on cloud-based LLMs, cloud TTS, and online assets, CPU and RAM are more critical than the GPU.

| Item | Minimum | Recommended | Ideal |
| ---- | -------- | ----------- | ----- |
| CPU  | 4 cores  | 6 to 8 cores| 8+ cores |
| RAM  | 4 GB     | 8 GB        | 16 GB+ |
| GPU  | Not required | 4 GB VRAM+ | 8 GB VRAM+ |

After installation, you can run the different interfaces of the project.

Launch WebUI

Windows:

.\webui.bat

To allow LAN access, run set MPT_WEBUI_HOST=0.0.0.0 before executing the batch file.

macOS/Linux:

sh webui.sh

To allow LAN access, run: MPT_WEBUI_HOST=0.0.0.0 sh webui.sh.

Launch API Service

Run the following command in the project root:

uv run python main.py

Accessing Services

• WebUI: http://127.0.0.1:8501
• API Docs (Swagger/Redoc): http://127.0.0.1:8080/docs or http://127.0.0.1:8080/redoc

# Windows LAN access
set MPT_WEBUI_HOST=0.0.0.0
.\webui.bat

# macOS/Linux LAN access
MPT_WEBUI_HOST=0.0.0.0 sh webui.sh

For manual deployment, Python 3.11 or higher is required. It is recommended to use uv for environment management.

Using uv (Recommended):

1. Clone the repository.
2. Install Python 3.11 via uv.
3. Sync dependencies using uv sync --frozen.

Using venv and pip:

1. Create a virtual environment.
2. Activate it.
3. Install requirements via pip install -r requirements.txt.

# Using uv
git clone https://github.com/harry0703/MoneyPrinterTurbo.git
cd MoneyPrinterTurbo
uv python install 3.11
uv sync --frozen

# Using venv + pip
python3.11 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

MoneyPrinterTurbo requires uv for dependency and environment management. If uv is missing, install it using the following commands based on your operating system.

# macOS
curl -LsSf https://astral.sh/uv/install.sh | sh

# Windows PowerShell
powershell -ExecutionPolicy ByPass -c "irm https://install.ps1 | iex"

To bypass local environment configuration and experience MoneyPrinterTurbo immediately, you can run the project in a Google Colab notebook.

https://colab.research.google.com/github/harry0703/MoneyPrinterTurbo/blob/main/docs/MoneyPrinterTurbo.ipynb

To deploy using Docker, use the provided docker-compose.release.yml which pulls the pre-built image ghcr.io/harry0703/moneyprinterturbo:latest.

Before starting, copy config.example.toml to config.toml to ensure the container can mount your configuration.

Accessing the services:

• WebUI: http://127.0.0.1:8501
• API Documentation: http://127.0.0.1:8080/docs or http://127.0.0.1:8080/redoc

cd MoneyPrinterTurbo
docker compose -f docker-compose.release.yml up

To try MoneyPrinterTurbo without setting up a local environment, you can run it directly in Google Colab using the official notebook.

https://colab.research.google.com/github/harry0703/MoneyPrinterTurbo/blob/main/docs/MoneyPrinterTurbo.ipynb

For the fastest local trial on Windows, use the one-click package:

1. Download the latest Windows one-click package from the GitHub Releases.
2. Extract the package.
3. Recommended: Double-click update.bat first to ensure you are running the latest code.
4. Double-click start.bat to launch the application.
5. The browser should open automatically. If it opens a blank page, use Chrome or Edge.

If your AI Agent can read Skill documents and operate a local terminal, you can automate the installation, configuration, and video generation process. This workflow currently supports macOS and Windows. The Agent will install MoneyPrinterTurbo and only ask for required API keys that are not already configured.

Provide the following prompt to your AI Agent:

Use this Skill: https://raw.githubusercontent.com/harry0703/MoneyPrinterTurbo/main/docs/skill/SKILL.md
Create a video with the topic "How AI is changing everyday life."