ViralCutter vs SupoClip

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 + AutoShorts (JayWebtech)+ YT Short Clipper + AI shorts generator (short-video-maker)

ViralCutterRafaelGodoyEbert/ViralCutter

SupoClipFujiwaraChoki/supoclip

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

Yes

Jobs covered

3 of 5 jobs

4 of 5 jobs

All 5

Popularity and activity (from GitHub)

Stars

429

1,646Top

—

Gain this week

Unknown

—

Signal

Building history

—

Commits / 4 wk

119Top

—

Latest release

Unknown

—

Commits / 12 wk

177

—

People committing / 12 mo

—

Issues opened / closed, 30 days

0 / 0

5 / 19

—

Facts, with sources on each project page

Runs on my machine?Differs

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

Yes, self-hosted with Docker Compose; a hosted web and iOS version also exists

Hosted by the vendor

Code licenceDiffers

GPL-3.0 (copyleft)

AGPL-3.0 (strong copyleft, including network use)

—

Model weights licenceDiffers

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

No separate model weights; uses the LLM and transcription services you configure

—

Commercial useDiffers

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

Allowed under AGPL-3.0 conditions; offering a modified version over a network means sharing its source

—

Paid services needed?Differs

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

Quick start needs an AssemblyAI key and an LLM key (Ollama allowed); a fully local Whisper + Ollama route is documented in a blog tutorial; Pexels B-roll optional

Subscription

HardwareDiffers

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

Runs on CPU by default (CPU-only Torch build, Apple silicon included); NVIDIA CUDA path optional. No RAM figure

—

Operating systemsDiffers

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

Official setup uses Docker Desktop/Engine and explicitly documents Apple Silicon running linux/amd64 backend/worker images through emulation, without Apple GPU acceleration; native Windows/Linux host support is not listed

—

Setup effortDiffers

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

Medium, Docker Compose with a .env of API keys

—

Stars over time

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

ViralCutter
SupoClip

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.

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

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

- ViralCutter: 429 GitHub stars, 2 commits in 12 weeks, licence GPL-3.0 (copyleft)
- SupoClip: 1,646 GitHub stars, 177 commits in 12 weeks, licence AGPL-3.0 (strong copyleft, including network use)

Where they differ:
- Runs on my machine?: ViralCutter Yes, local WebUI or CLI; the LLM can be a local GGUF model or a cloud API; SupoClip Yes, self-hosted with Docker Compose; a hosted web and iOS version also exists
- Code licence: ViralCutter GPL-3.0 (copyleft); SupoClip AGPL-3.0 (strong copyleft, including network use)
- Model weights licence: 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; SupoClip No separate model weights; uses the LLM and transcription services you configure
- Commercial use: ViralCutter GPL-3.0 code allows commercial use with copyleft conditions; licences of the models it uses are not stated; SupoClip Allowed under AGPL-3.0 conditions; offering a modified version over a network means sharing its source
- Paid services needed?: ViralCutter None required; Gemini (free key) or GPT-4 optional, or run fully offline with local GGUF models; SupoClip Quick start needs an AssemblyAI key and an LLM key (Ollama allowed); a fully local Whisper + Ollama route is documented in a blog tutorial; Pexels B-roll optional
- Hardware: ViralCutter NVIDIA GPU with CUDA 12.4+ strongly recommended; exact VRAM and RAM not stated; SupoClip Runs on CPU by default (CPU-only Torch build, Apple silicon included); NVIDIA CUDA path optional. No RAM figure
- Operating systems: ViralCutter Windows install scripts documented; Google Colab notebook; macOS and Linux not documented; SupoClip Official setup uses Docker Desktop/Engine and explicitly documents Apple Silicon running linux/amd64 backend/worker images through emulation, without Apple GPU acceleration; native Windows/Linux host support is not listed
- Setup effort: ViralCutter Medium; needs Python 3.10/3.11, FFmpeg, NVIDIA drivers and C++ Build Tools, then a .bat installer; SupoClip Medium, Docker Compose with a .env of API keys

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. RafaelGodoyEbert/ViralCutter ↗FujiwaraChoki/supoclip ↗

ViralCutter vs SupoClip

Stars over time

Notes for a video or post

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