YT Short Clipper vs ViralCutter

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.

Also replaces Opus Clip: + AutoClip + OpenShorts + AI YouTube Shorts Generator + SupoClip + AutoShorts (JayWebtech)+ AI shorts generator (short-video-maker)

YT Short Clipperjipraks/yt-short-clipper

ViralCutterRafaelGodoyEbert/ViralCutter

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

Yes

Schedule and publish clips to social platforms

Partly

Yes

Jobs covered

4 of 5 jobs

3 of 5 jobs

All 5

Popularity and activity (from GitHub)

Stars

1,047Top

429

—

Gain this week

Unknown

—

Signal

Building history

—

Commits / 4 wk

—

Latest release

v2.0.7-beta · 2026-09-20

Unknown

—

Commits / 12 wk

—

People committing / 12 mo

—

Issues opened / closed, 30 days

0 / 0

—

Facts, with sources on each project page

Runs on my machine?Differs

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

Yes, local WebUI or CLI; the LLM can be a local GGUF model or a cloud API

Hosted by the vendor

Code licenceDiffers

MIT

GPL-3.0 (copyleft)

—

Model weights licenceDiffers

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

InsightFace pretrained models are for non-commercial research; commercial licensing must be obtained separately. Whisper weights are MIT, and user-selected local GGUF or hosted LLM options retain their own terms

—

Commercial useDiffers

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

GPL-3.0 code allows commercial use with copyleft conditions; licences of the models it uses are not stated

—

Paid services needed?Differs

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

None required; Gemini (free key) or GPT-4 optional, or run fully offline with local GGUF models

Subscription

HardwareDiffers

Not documented

NVIDIA GPU with CUDA 12.4+ strongly recommended; exact VRAM and RAM not stated

—

Operating systemsDiffers

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

Windows install scripts documented; Google Colab notebook; macOS and Linux not documented

—

Setup effortDiffers

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

Medium; needs Python 3.10/3.11, FFmpeg, NVIDIA drivers and C++ Build Tools, then a .bat installer

—

Stars over time

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

YT Short Clipper
ViralCutter

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.

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

Opus Clip: See pricing page
YT Short Clipper: free software; does 4 of 5 Opus Clip jobs
ViralCutter: free software; does 3 of 5 Opus Clip jobs

- YT Short Clipper: 1,047 GitHub stars, 14 commits in 12 weeks, licence MIT
- ViralCutter: 429 GitHub stars, 2 commits in 12 weeks, licence GPL-3.0 (copyleft)

Where they differ:
- Runs on my machine?: YT Short Clipper Yes, Windows desktop app; the LLM step can be local (Ollama, vLLM) or a cloud API; ViralCutter Yes, local WebUI or CLI; the LLM can be a local GGUF model or a cloud API
- Code licence: YT Short Clipper MIT; ViralCutter GPL-3.0 (copyleft)
- Model weights licence: YT Short Clipper No bundled LLM weights; uses the provider you configure (MediaPipe for face tracking); ViralCutter InsightFace pretrained models are for non-commercial research; commercial licensing must be obtained separately. Whisper weights are MIT, and user-selected local GGUF or hosted LLM options retain their own terms
- Commercial use: YT Short Clipper Yes, MIT code; you must have rights to the YouTube videos you re-cut; ViralCutter GPL-3.0 code allows commercial use with copyleft conditions; licences of the models it uses are not stated
- Paid services needed?: 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; ViralCutter None required; Gemini (free key) or GPT-4 optional, or run fully offline with local GGUF models
- Hardware: YT Short Clipper Not documented; ViralCutter NVIDIA GPU with CUDA 12.4+ strongly recommended; exact VRAM and RAM not stated
- Operating systems: YT Short Clipper Windows 10/11 only; not ready for macOS or Linux; ViralCutter Windows install scripts documented; Google Colab notebook; macOS and Linux not documented
- Setup effort: YT Short Clipper Easy, portable zip from GitHub Releases; building from source needs Node, Rust and Python; ViralCutter Medium; needs Python 3.10/3.11, FFmpeg, NVIDIA drivers and C++ Build Tools, then a .bat installer

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

Want share images and a ready video description? Open a project's creator kit.

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

YT Short Clipper vs ViralCutter

Stars over time

Notes for a video or post

Cookie preferences

Report a problem