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MoneyPrinterTurbo 🧩 Workflow Open source

Turns a topic into a narrated, subtitled short video with stock or AI footage

Open-source content pipelines · Open source ★ 126k · MIT · updated 2026-09-24

7.0editor score
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GitHub stars
126k
Stars this week
–
Forks
20k
Licence
MIT
Last push
2026-09-24
Maintainer
harry0703
Installgit clone https://github.com/harry0703/MoneyPrinterTurbo.git

Third-party workflows & skills run with your permissions and API keys. Read the source before installing, and prefer pinned versions.

Works with

Not mapped to an app yet.

Good for

About MoneyPrinterTurbo

What it is

MoneyPrinterTurbo by harry0703 (MIT) is a popular open-source short-video generator. Give it a topic or keyword and it writes a script with an LLM, fetches matching stock footage (or generates clips), records a voiceover, adds subtitles and background music, and renders a vertical or horizontal HD video. It runs as a web UI, API, CLI or agent workflow, and supports batch generation.

Key features

  • Topic-to-video pipeline: script, footage, voice, subtitles, music, edit
  • LLM providers include OpenAI, Moonshot/Kimi, DeepSeek, Gemini, Ollama and others
  • Stock footage from Pexels, Pixabay and Coverr, or your own media
  • Optional AI footage via Seedance, MiniMax and other APIs
  • 9:16, 16:9 and 1:1 output with batch variants
  • Web UI, REST API, CLI and Docker deployment

How to install

Clone with git clone https://github.com/harry0703/MoneyPrinterTurbo.git, then either docker compose -f docker-compose.release.yml up or, with uv, uv sync --frozen and start the web UI. Add your LLM and Pexels/Pixabay API keys in the settings.

Pricing and rights

Free under MIT. You pay for LLM, TTS and any AI-video APIs you enable; stock footage from Pexels and Pixabay is free under their licences. The README carries many sponsor and referral links.

Who it is for

Creators and developers who want to prototype faceless short-form videos or explainer clips automatically.

Verdict

A capable, very popular pipeline for quick short videos. Outputs look templated, the project name and sponsor-heavy README encourage volume over quality, and mass-produced uploads risk platform spam and originality rules.

short-video text-to-video automation faceless-video

Pros

  • Complete topic-to-video pipeline
  • Many LLM and footage providers
  • Docker and web UI
  • MIT

Cons

  • Generic, templated results
  • Sponsor and referral links throughout README
  • Mass uploads can breach platform spam rules

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