# FujiwaraChoki/MoneyPrinter

Automate Creation of YouTube Shorts using MoviePy.

Repository: https://github.com/FujiwaraChoki/MoneyPrinter
Canonical: https://ross.abutalabs.com/products/moneyprinter
Language: Python
License: MIT
License Family: permissive
Topics: automation, chatgpt, moviepy, python
Last push: 2026-03-26T22:17:17+00:00

## Health v2 (maintenance only)
Score: 59/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 74, release rhythm 35, longevity 67
- inputs: {"age_days": 945, "days_push": 160, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 13891, forks 1798 (observed 2026-08-28T04:11:04.997824+00:00)

## What it is
MoneyPrinter is a Python application that automates the creation of YouTube Shorts from a user-provided video topic, using local Ollama models for script and metadata generation and MoviePy for video assembly. It runs as an API + worker + Postgres queue in Docker with a web UI for configuration.

## Use cases
- automatically generate youtube shorts from a topic
- create faceless videos for youtube and tiktok
- generate short-form video content with local LLMs
- automate video script writing and voiceover
- batch-produce shorts without manual editing

## When to choose
- you want fully automated short-form video generation
- you prefer local LLM inference via Ollama over paid APIs
- you want a self-hosted, Docker-based content pipeline

## When to avoid
- you need polished, manually edited videos
- you require cloud LLM providers like OpenAI
- you need long-form video editing capabilities

## Facets
- artifact type: application
- maturity: active
- function: video-processing, llm-inference, workflow-automation, tts, image-processing
- domain: artificial-intelligence, media, social-media
- platform: python, cross-platform, windows
- tags: youtube-shorts, moviepy, ollama, content-creation, faceless-videos, tiktok, short-form-video, automation, video, docker, linux, macos

## Member repositories
- FujiwaraChoki/MoneyPrinter (main) score 59

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:04.997824+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:12:58.371161+00:00, confidence not recorded.
  - readme: https://github.com/FujiwaraChoki/MoneyPrinter (fetched 2026-08-28T04:11:04.997824+00:00, sha eb850ab0f8bd)
- Data as of 2026-08-30T08:39:29.467469+00:00.