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MoneyPrinterTurbo

harry0703/moneyprinterturbo

Turn a topic into a short video, with an official AI skill for installation, setup and MP4 delivery.

What is MoneyPrinterTurbo?

Prepared by LessAI Tools from public project documentation

MoneyPrinterTurbo is an open-source short-video generator for creators who want to turn a topic, keywords or an existing script into a finished video. It combines script writing, voice synthesis, material selection, subtitles, background music and video editing. Users can replace generated content with their own scripts, images, video clips and narration.

The project supports batch generation and portrait, landscape and square output. It offers several language-model and voice providers, online footage sources and local media. The current official README also documents direct publishing to TikTok, Instagram and YouTube Shorts. These functions require the relevant service configuration and accounts; open-source code does not make connected services free.

In addition to its WebUI, API and CLI, MoneyPrinterTurbo ships an official AI task skill at `docs/skill/SKILL.md`. An assistant that can read the skill and use a terminal, network, files and long-running commands can follow the documented installation, configuration and generation workflow, then return the final MP4 path. The skill currently supports macOS and Windows and uses `uv`; the wider application also documents Linux and Docker deployment.

This listing is based on the official README, official skill and public repository metadata checked on 2026-10-18. We have verified the documentation and listing data, but have not installed the generator or produced a video as part of this catalog admission.

MoneyPrinterTurbo setup documentation

What you need

  • For a local installation, prepare Python 3.11 or later. The README lists at least 4 CPU cores and 4 GB RAM; 8 GB RAM or more is recommended. A GPU is optional.
  • For the official AI skill, use macOS or Windows and an assistant with terminal, network, filesystem and long-running command access. The skill uses `uv` to manage Python and dependencies.
  • Configure credentials for the language model and external services you choose. Cloud model, paid voice and AI video providers may require their own accounts and API keys.
  • Use your own images and videos, or configure a supported material source such as Pexels or Pixabay. Follow that source’s account requirements and quotas.
  • The official README provides local, package and Docker setup options. On Windows, its source-deployment instructions advise avoiding paths with non-ASCII characters, special characters or spaces.
  • Before using publishing features, configure and authorize the relevant platform accounts and review the finished video. The official skill is documented at https://github.com/harry0703/MoneyPrinterTurbo/blob/main/docs/skill/SKILL.md .

Limitations and costs

  • The MIT-licensed project code is open source; connected model, material, voice and AI video services may charge fees or impose quotas. This listing does not promise free end-to-end video production.
  • The README describes Edge TTS as free without an API key. Other voice providers have their own credential, pricing, model and feature restrictions.
  • Whisper subtitle mode downloads a local model on first use. The README describes approximately 3 GB for `large-v3` and 1.6 GB for `large-v3-turbo`; heavier local processing and batches need additional time and resources.
  • You must check the rights for footage, music, fonts, voice references and final content. The README warns that bundled music should be removed if copyright problems arise.
  • Generated scripts, narration, subtitles and matched footage need human review. Account authorization, provider availability and platform rules still apply to publishing. The website has not installation-tested this project.
Setup and usage guide ↗

Based on public documentation; not individually installed and tested here.

MoneyPrinterTurbo use cases

  • Generate a script, voiceover, footage, subtitles, background music and an edited short video from a topic.
  • Create batches and export portrait 9:16, landscape 16:9 or square 1:1 videos.
  • Use custom scripts, local images, videos and audio, or configured online material providers.
  • Choose supported cloud models or compatible local model services such as Ollama.
  • Use WebUI, API and CLI workflows; the official AI skill can manage a local video generation task.
  • Customize subtitle style, narration, background music, clip length and material order.
  • Publish completed videos to supported social platforms after configuring the relevant accounts.

Official project & documentation

The project’s original description

Generate HD short videos from a topic or keyword with an automated AI workflow.

Alternatives to MoneyPrinterTurbo for similar tasks

Matches the main use case first, then shared tasks and stars. Setup methods may differ.

  • HyperFrames — Turn HTML, CSS and animation into videos, with skills for product demos and interactive presentations.
  • Humanizer — Edit formulaic AI drafts while preserving their facts and the writer's voice.
  • I Have ADHD — Make coding assistants lead with the next action, numbered steps, and clear progress.

Sources and ranking

This directory lists AI development plugins with public source code and a clear purpose. Browse by task, then open an introduction to learn what a project does, who it is for, and what you need to get started. It covers selected projects, not every AI plugin.

How do the three plugin types differ?

Tool connections (MCP) let AI assistants use external tools such as browsers, code repositories and databases. MCP is the protocol used for these connections.

Reusable skills give a compatible AI assistant instructions and guidance for a particular task.

Editor plugins run inside the software you use to write code, adding AI chat, completions or suggested edits.

How does “Most starred” work?

Projects are sorted by their total GitHub stars. Stars indicate interest; they are not downloads, active users or quality scores. A skill pack counts as one project. Daily star growth is not shown without historical records.

What does “Recently updated” mean?

It uses the most recent code push, which may not be a new release. The 7-day filter checks that project update time; ranking still uses all-time stars. Each introduction shows when its star count was collected. Failed updates keep the last saved data.

Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs. Refreshing this list only reads saved data; it does not start collection.

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