Clips courts
MoneyPrinter
MoneyPrinter — automate YouTube Shorts from a single topic: local Ollama writes the script and metadata, stock footage and voiceover are assembled into a finished short, MIT
★ 14,1 k étoilesMIT
Voir le guide →youtube-shorts-pipeline est un projet de clips courts open source, créé par rushindrasinha (rushindrasinha/youtube-shorts-pipeline sur GitHub). Il compte 2 312 étoiles sur GitHub et 536 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 9 juin 2026.
Verticals: one command turns a topic into a researched, voiced, captioned, and uploaded YouTube Short.
Pick a niche (15 ship built in, from tech and finance to cooking and true crime) and a topic, or let topic discovery suggest one.
Clone the repository and install the Python requirements; make sure ffmpeg is available on your system.
Configure provider keys for the stages you use, for example an LLM key for scripts and a Gemini key for visuals; free options exist for several stages.
Run the full pipeline for a topic, or work stage by stage with draft, produce, and upload commands.
A YAML niche profile shapes script tone, hooks, visual style, caption look, music mood, and thumbnail strategy at every stage, and you can author your own.
Research uses DuckDuckGo plus optional source scraping, and the script stage is instructed to use only researched facts as an anti-hallucination gate.
Scripts via Claude, Gemini, GPT, Ollama, MiniMax, or LiteLLM; voiceover via Edge TTS (free), ElevenLabs, MiniMax, 60db, or macOS say.
Word-level timestamps produce burned-in ASS captions with highlighting and an SRT file uploaded as closed captions.
B-roll gets Ken Burns motion, is cropped to 9:16, and is assembled with voiceover and mood-matched music that ducks under speech.
Uploads publish with generated title, description, tags, captions, and thumbnail, kept private by default, with resumable stages and a dry-run mode.
Install the pipeline's Python dependencies after cloning.
git clone https://github.com/rushindrasinha/youtube-shorts-pipeline.git
cd youtube-shorts-pipeline
pip install -r requirements.txtAdd the API keys for the providers you chose to the local config (see README provider tables).
# set ANTHROPIC_API_KEY / GEMINI_API_KEY etc. per the README configuration tableProduce a complete Short from a topic in one command.
python -m verticals run --topic "your topic" --niche techIt is maintained by rushindrasinha, with community-contributed providers noted in the release notes.
The code is MIT-licensed and free. Running it can cost small per-video API fees depending on providers; the README documents a zero-cost mode using Ollama and free Edge TTS.
Only for the providers you pick. Claude, Gemini, or ElevenLabs need their keys, while the local Ollama plus Edge TTS path needs no paid key at all.
General AI video generators make clips; Verticals is an end-to-end publishing pipeline that researches, scripts, voices, captions, and uploads a finished Short tuned to a niche.
Clone the repo, pip install -r requirements.txt, set your provider keys, and run python -m verticals run with a topic and niche.
MoneyPrinter — automate YouTube Shorts from a single topic: local Ollama writes the script and metadata, stock footage and voiceover are assembled into a finished short, MIT
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