OpenShorts vs YT Short Clipper vs AI shorts generator (short-video-maker)

Side by side, as alternatives to Opus Clip. Rows that differ are highlighted; the strongest value in a row is marked. Unknown means no source yet.

OpenShortsmutonby/openshorts

YT Short Clipperjipraks/yt-short-clipper

AI shorts generator (short-video-maker)mushigaite/short-video-maker

Opus Clippaid product

Cost and coverage

Price

$0 software; you run it

See pricing page source ↗

AI picks highlight clips from a long video

Partly

Yes

Auto-reframe to vertical 9:16 (speaker or face tracking)

Partly

Yes

Animated burned-in captions on clips

Partly

Yes

Virality score per clip

Partly

Yes

Schedule and publish clips to social platforms

Partly

Yes

Jobs covered

4 of 5 jobs

All 5

Popularity and activity (from GitHub)

Stars

6,909Top

1,047

631

—

Gain this week

Unknown

—

Signal

Building history

—

Commits / 4 wk

67Top

—

Latest release

Unknown

v2.0.7-beta · 2026-09-20

Unknown

—

Commits / 12 wk

260

—

People committing / 12 mo

—

Issues opened / closed, 30 days

7 / 9

0 / 0

—

Facts, with sources on each project page

Runs on my machine?Differs

Yes, self-hosted with Docker Compose; a paid hosted version also exists

Yes, Windows desktop app; the LLM step can be local (Ollama, vLLM) or a cloud API

Yes, runs on your machine; transcription is local, highlight ranking calls a cloud LLM

Hosted by the vendor

Code licenceDiffers

MIT for the core app; the cloud/ folder (billing, hosted infrastructure) is source-available under a commercial licence

MIT

—

Model weights licenceDiffers

No separate model weights; downloads third-party models (faster-whisper, YOLOv8, MediaPipe) and calls the LLM you choose

No bundled LLM weights; uses the provider you configure (MediaPipe for face tracking)

No separate model weights

—

Commercial useDiffers

Yes for the MIT core; the cloud/ billing folder may not be resold as a hosted service. Licences of bundled models (e.g. ultralytics YOLOv8) not checked

Yes, MIT code; you must have rights to the YouTube videos you re-cut

Yes, MIT (LLM provider terms apply separately)

—

Paid services needed?Differs

Clipping can run with a local LLM and no paid key; Gemini is the default and is needed for auto-layout and silent videos; posting, dubbing and AI actors use paid APIs

Not required with a local Ollama/vLLM model; cloud LLM APIs, the in-app AI wallet and Repliz upload are optional paid extras

Needs an LLM API key; Gemini has a free tier with a daily limit, OpenAI and MuAPI are paid

Subscription

HardwareDiffers

8GB+ RAM; CPU works (5-8 min per 8-min video); optional NVIDIA GPU, 8GB VRAM enough for large-v3-turbo

Not documented

Python 3.10+; Whisper runs on CPU or CUDA GPU, model size selectable

—

Operating systemsDiffers

Runs in Docker; Linux and Windows (Docker Desktop with WSL2) are documented; macOS not mentioned

Windows 10/11 only; not ready for macOS or Linux

Windows, Linux and macOS install steps in the README

—

Setup effortDiffers

Medium, docker compose up --build, then enter API keys in the dashboard

Easy, portable zip from GitHub Releases; building from source needs Node, Rust and Python

Easy-medium, clone, pip install requirements and add an API key to .env (README clone URL uses an older repo name)

—

Stars over time

Switch to Growth % to compare projects of different sizes fairly.

OpenShorts
YT Short Clipper
AI shorts generator (short-video-maker)

Focus a point, use arrow keys, or tap for its value.

Tracked daily since 16 Oct 2026. Dashed history: estimated from public records of when people starred the repo. Lines connect observations only; gaps contain no measured points.

Growth % starts at each project's first observed point in the shown range. Zero-star starts are unavailable.

Notes for a video or post

A plain summary with today's date and a link to the sources. Check each project page before you publish.

OpenShorts vs YT Short Clipper vs AI shorts generator (short-video-maker) (as alternatives to Opus Clip)
Figures from RepoQuarry, 21 Oct 2026. Sources: https://repoquarry.dev/compare?ids=openshorts,yt-short-clipper,short-video-maker&product=opus-clip

Opus Clip: See pricing page
OpenShorts: free software; does 4 of 5 Opus Clip jobs
YT Short Clipper: free software; does 4 of 5 Opus Clip jobs
AI shorts generator (short-video-maker): free software; does 4 of 5 Opus Clip jobs

- OpenShorts: 6,909 GitHub stars, 260 commits in 12 weeks, licence MIT for the core app; the cloud/ folder (billing, hosted infrastructure) is source-available under a commercial licence
- YT Short Clipper: 1,047 GitHub stars, 14 commits in 12 weeks, licence MIT
- AI shorts generator (short-video-maker): 631 GitHub stars, 17 commits in 12 weeks, licence MIT

Where they differ:
- Runs on my machine?: OpenShorts Yes, self-hosted with Docker Compose; a paid hosted version also exists; YT Short Clipper Yes, Windows desktop app; the LLM step can be local (Ollama, vLLM) or a cloud API; AI shorts generator (short-video-maker) Yes, runs on your machine; transcription is local, highlight ranking calls a cloud LLM
- Code licence: OpenShorts MIT for the core app; the cloud/ folder (billing, hosted infrastructure) is source-available under a commercial licence; YT Short Clipper MIT; AI shorts generator (short-video-maker) MIT
- Model weights licence: OpenShorts No separate model weights; downloads third-party models (faster-whisper, YOLOv8, MediaPipe) and calls the LLM you choose; YT Short Clipper No bundled LLM weights; uses the provider you configure (MediaPipe for face tracking); AI shorts generator (short-video-maker) No separate model weights
- Commercial use: OpenShorts Yes for the MIT core; the cloud/ billing folder may not be resold as a hosted service. Licences of bundled models (e.g. ultralytics YOLOv8) not checked; YT Short Clipper Yes, MIT code; you must have rights to the YouTube videos you re-cut; AI shorts generator (short-video-maker) Yes, MIT (LLM provider terms apply separately)
- Paid services needed?: OpenShorts Clipping can run with a local LLM and no paid key; Gemini is the default and is needed for auto-layout and silent videos; posting, dubbing and AI actors use paid APIs; YT Short Clipper Not required with a local Ollama/vLLM model; cloud LLM APIs, the in-app AI wallet and Repliz upload are optional paid extras; AI shorts generator (short-video-maker) Needs an LLM API key; Gemini has a free tier with a daily limit, OpenAI and MuAPI are paid
- Hardware: OpenShorts 8GB+ RAM; CPU works (5-8 min per 8-min video); optional NVIDIA GPU, 8GB VRAM enough for large-v3-turbo; YT Short Clipper Not documented; AI shorts generator (short-video-maker) Python 3.10+; Whisper runs on CPU or CUDA GPU, model size selectable
- Operating systems: OpenShorts Runs in Docker; Linux and Windows (Docker Desktop with WSL2) are documented; macOS not mentioned; YT Short Clipper Windows 10/11 only; not ready for macOS or Linux; AI shorts generator (short-video-maker) Windows, Linux and macOS install steps in the README
- Setup effort: OpenShorts Medium, docker compose up --build, then enter API keys in the dashboard; YT Short Clipper Easy, portable zip from GitHub Releases; building from source needs Node, Rust and Python; AI shorts generator (short-video-maker) Easy-medium, clone, pip install requirements and add an API key to .env (README clone URL uses an older repo name)

Stars show popularity, not quality. Check each project page before publishing.

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Numbers: GitHub, fetched nightly. Facts: read from each project's own documentation, with the source on its page. How we check. mutonby/openshorts ↗jipraks/yt-short-clipper ↗mushigaite/short-video-maker ↗

OpenShorts vs YT Short Clipper vs AI shorts generator (short-video-maker)

Stars over time

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