# rushindrasinha/youtube-shorts-pipeline

Automated YouTube Shorts pipeline: news → script → AI visuals → voiceover → captions → upload

Repository: https://github.com/rushindrasinha/youtube-shorts-pipeline
Canonical: https://ross.abutalabs.com/products/youtube-shorts-pipeline
Homepage: https://verticals.gg
Language: Python
License: MIT
License Family: permissive
Topics: ai-video, automation, claude, content-creation, elevenlabs, ffmpeg, python, whisper, youtube, youtube-shorts
Last push: 2026-06-09T23:55:00+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 86, release rhythm 55, longevity 13
- inputs: {"age_days": 193, "days_push": 85, "days_rel": 85, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2251, forks 526 (observed 2026-08-28T04:06:30.881876+00:00)

## What it is
Verticals v3 (repo youtube-shorts-pipeline) is a Python CLI that automates producing and publishing YouTube Shorts: it researches a topic, writes a script, generates AI b-roll and thumbnails, records voiceover, burns captions, assembles with ffmpeg, and uploads. Niche profiles tune tone, visuals, music, and captions per content vertical.

## Use cases
- generate youtube shorts automatically from a topic
- create faceless ai videos for youtube
- automate news-to-shorts video pipeline
- ai voiceover and captions for short videos
- auto-upload ai generated videos to youtube
- make vertical videos for any niche with ai

## When to choose
- you want fully automated topic-to-published YouTube Shorts
- you need niche-tuned scripts, visuals, and captions
- you want multi-provider LLM/TTS flexibility including local Ollama and free Edge TTS

## When to avoid
- you need TikTok/Reels/X upload - not shipped yet
- you want a GUI - only a CLI exists today
- you need Docker or Colab deployment - roadmap only

## Facets
- artifact type: cli-tool
- maturity: active
- function: workflow-automation, llm-inference, tts, video-processing, speech-recognition, image-processing, web-scraping
- domain: media, artificial-intelligence, social-media
- platform: python, cli
- tags: youtube-shorts, content-creation, ai-video, elevenlabs, whisper, ffmpeg, faceless-video, content-pipeline, automation, macos

## Member repositories
- rushindrasinha/youtube-shorts-pipeline (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:30.881876+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 2026-08-30T02:43:51.108160+00:00, confidence not recorded.
  - readme: https://github.com/rushindrasinha/youtube-shorts-pipeline (fetched 2026-08-28T04:06:30.881876+00:00, sha 4928a2ad6f4e)
  - homepage: https://verticals.gg (fetched 2026-08-29T10:24:10.640678+00:00, sha a2e4c9663bd5)
- Data as of 2026-08-30T08:39:29.467469+00:00.