MoneyPrinter: Automate YouTube Shorts Creation with Local AI
This repository profile is provided by osrepos.com, an open source repository discovery platform.
Summary
MoneyPrinter is an open-source tool that automates the creation of YouTube Shorts by generating scripts and metadata from a given video topic. It leverages local Ollama models for AI processing and features a robust, DB-backed generation queue for reliable content production. This project is ideal for content creators looking to streamline their video production workflow.
Repository Information
Topics
Click on any tag to explore related repositories
Use at your own risk
OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of code from these repositories is the user's own responsibility. Always review the repository, source code, dependencies, licenses, and security implications before running or installing anything. OSRepos is not responsible for issues, damages, or losses resulting from third-party repositories.
Introduction
MoneyPrinter is an innovative open-source project designed to automate the creation of YouTube Shorts. By simply providing a video topic, MoneyPrinter generates scripts and metadata, streamlining the content production process. It stands out by being Ollama-first, meaning script generation and metadata are fully powered by local Ollama models, ensuring privacy and control over your AI processing. The system also features a robust, DB-backed generation queue, API, worker, and Postgres in Docker for reliable and restart-safe processing of your video creation tasks.
Installation
Getting started with MoneyPrinter involves a few straightforward steps, primarily focusing on setting up Ollama and the project itself. For detailed instructions, it is recommended to consult the official documentation. A quick overview includes:
- Running the interactive setup script:
setup.sh - Starting Ollama and pulling a model, for example:
ollama serve ollama pull llama3.1:8b
The project provides comprehensive guides for quickstart, configuration, and Docker deployment within its docs/ directory.
Examples
The core functionality of MoneyPrinter revolves around automating YouTube Shorts creation. Users provide a video topic, and the system handles the rest, from script generation to video assembly using MoviePy. This allows for rapid production of engaging short-form video content. You can see MoneyPrinter in action by watching the official video demonstration on YouTube.
Why Use It
MoneyPrinter offers significant advantages for content creators and developers alike. Its primary benefit is the automation of a time-consuming process, enabling users to produce a high volume of YouTube Shorts efficiently. The use of local Ollama models provides privacy and reduces reliance on external AI services, offering greater control and potentially lower costs. With its robust architecture, including a DB-backed queue, MoneyPrinter ensures reliable and scalable video generation, making it a powerful tool for anyone looking to expand their video content strategy.
Links
- GitHub Repository: https://github.com/FujiwaraChoki/MoneyPrinter
- Documentation: https://github.com/FujiwaraChoki/MoneyPrinter/tree/main/docs
- Discord Community: https://dsc.gg/fuji-community
- YouTube Demo: https://youtu.be/mkZsaDA2jnA?si=pNne3MnluRVkWQbE
Related repositories
Similar repositories that may be relevant next.
Destructive Command Guard (dcg): Protecting AI Agents from Dangerous Commands
July 11, 2026
The Destructive Command Guard (dcg) is a high-performance hook designed to prevent AI coding agents from executing dangerous git and shell commands. Built in Rust, dcg intercepts and blocks catastrophic operations like `git reset --hard` or `rm -rf`, offering clear explanations and safer alternatives. It provides a crucial safety layer for developers working with tools like Claude Code, Codex CLI, and GitHub Copilot.
Loop Engineering: Orchestrating AI Agents with Practical Patterns and Tools
June 25, 2026
Loop Engineering is a GitHub repository offering practical patterns, starters, and CLI tools for building robust AI coding agent systems. It shifts the focus from individual prompt crafting to designing control systems that orchestrate agents over time. This project empowers developers to create autonomous, iterative AI workflows for various development tasks.
Agent-Reach: Empower Your AI Agents with Internet Access, Zero API Fees
June 21, 2026
Agent-Reach is a powerful GitHub repository that equips AI agents with the ability to access and search the entire internet, including platforms like Twitter, Reddit, YouTube, and Bilibili. It provides a streamlined CLI experience, eliminating the need for complex API configurations and associated fees. This project ensures your AI agent can "see" and interact with web content effortlessly.
AI Website Cloner Template: Clone Websites with AI Coding Agents
May 26, 2026
The AI Website Cloner Template is an innovative open-source project that leverages AI coding agents to reverse-engineer any website into a clean, modern Next.js codebase. It enables users to clone entire websites with a single command, extracting design tokens, assets, and reconstructing sections in parallel. This tool is ideal for platform migration, recovering lost source code, or learning web development by deconstructing live sites.
Source repository
Open the original repository on GitHub.
13 counted GitHub visits