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harry0703/

MoneyPrinterTurbo

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MoneyPrinterTurbo is a Python tool that generates HD short videos from topics or keywords using an automated AI workflow, supporting multiple providers and platforms.

98kstars
15kforks
1issues
MITlicense
2024since
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Reviewgenerated from repository data · Jul 20, 2026

What it is

MoneyPrinterTurbo is a one-stop AI short video generation tool. It generates video scripts, matches素材, subtitles, background music, and composes HD short videos from a topic or keyword using an automated AI workflow. It provides AI Agent, WebUI, API, and CLI interfaces with multi-provider support and cross-platform publishing.

How it works

The project supports generating AI-driven video scripts, sourcing media (including stock sources like Pexels, Pixabay, Coverr), creating subtitles with adjustable styling, adding background music, and delivering videos in 9:16 and 16:9 formats. It integrates multiple model services and gateway platforms (Kimi/Moonshot AI, OpenAI, Google Gemini, etc.) and unifies access via gateways like Cloudflare AI Gateway, ModelScope, and LiteLLM. It can publish automatically to TikTok, Instagram, and YouTube Shorts after generation. WebUI and API are included, with a modular controller/service/model structure.

Getting started

  • Repository targets Python 3.11+. See installation instructions:

Getting started

  • Quick start guidance includes using CI-friendly options: AI Agent to generate videos, one-click Windows starter, or local deployment with uv for macOS/Linux. Docker deployment is also supported.

How to run locally

  • Prerequisites:
    • Python 3.11 or higher
  • Clone the repository:
git clone https://github.com/harry0703/MoneyPrinterTurbo.git
  • Optional configuration: On first run, a config.toml is created from config.example.toml; Major providers and asset sources can be configured in WebUI base settings.

Docker deployment

  • Steps include starting Docker as described in the README, with Windows and WSL guidance likely referenced in the Docker section.

Recent releases

  • v1.3.2 (2026-07-12): Redesigned WebUI layout, dedicated settings dialog, improved dark mode, task management, and more.
  • v1.3.1 (2026-07-06): Added new LLM providers (AIML API, EvoLink, VolcEngine Ark) and new TTS options (ElevenLabs, Chatterbox).
  • v1.3.0 (2026-06-10): Added Coverr stock video provider, Groq LLM provider, no-voice video generation, and WebUI enhancements.
  • v1.2.9 (2026-05-30): New features for advanced script settings in WebUI (paragraph count, script requirements, optional full system prompt).
  • v1.2.8 (2026-05-28): Bug fixes, provider additions, security hardening, deployment fixes.

Traction

  • 98,331 stars, 14,530 forks, 1 open issue (as of the provided data).

Behind the repo

  • The project integrates Kimi / Moonshot AI and other major model services and includes a WebUI, API, and CLI. (No external startup/company link provided beyond the integration notes in README.)

Caveats

  • License: MIT
  • Created: 2024-03-11
  • Last push: 2026-07-20
  • Open issues: 1
  • Local deployment requires Python 3.11+; Windows paths should avoid Chinese characters, special characters, or spaces in project paths.

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