Clipping
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
★ 14.1k starsMIT
View guide →Verticals: one command turns a topic into a researched, voiced, captioned, and uploaded YouTube Short.
youtube-shorts-pipeline is an open-source clipping project by rushindrasinha (rushindrasinha/youtube-shorts-pipeline on GitHub). It has 2,312 GitHub stars and 536 forks, is released under the MIT license, and was last updated on GitHub on 9 June 2026.
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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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
Free and open — grab the source, star the repo, and start creating.