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RepoQuarry

ViralCutter vs SupoClip 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.

ViralCutterRafaelGodoyEbert/ViralCutter
SupoClipFujiwaraChoki/supoclip
AI shorts generator (short-video-maker)mushigaite/short-video-maker
Opus Clippaid product
Cost and coverage
Price
$0 software; you run it
$0 software; you run it
$0 software; you run it
See pricing page source ↗
AI picks highlight clips from a long video
Partial: Partly
Partial: Partly
Partial: Partly
Confirmed: Yes
Auto-reframe to vertical 9:16 (speaker or face tracking)
Partial: Partly
Partial: Partly
Partial: Partly
Confirmed: Yes
Animated burned-in captions on clips
Partial: Partly
Partial: Partly
Partial: Partly
Confirmed: Yes
Virality score per clip
No: No
Partial: Partly
Partial: Partly
Confirmed: Yes
Schedule and publish clips to social platforms
No: No
No: No
No: No
Confirmed: Yes
Jobs covered
3 of 5 jobs
4 of 5 jobs
4 of 5 jobs
All 5
Popularity and activity (from GitHub)
Stars
429
1,646Top
631
—
Gain this week
Unknown
Unknown
Unknown
—
Signal
Building history
Building history
Building history
—
Commits / 4 wk
0
119Top
17
—
Latest release
Unknown
Unknown
Unknown
—
Commits / 12 wk
2
177
17
—
People committing / 12 mo
2
5
1
—
Issues opened / closed, 30 days
0 / 0
5 / 19
0 / 0
—
Facts, with sources on each project page
Runs on my machine?Differs
Confirmed: Yes, local WebUI or CLI; the LLM can be a local GGUF model or a cloud API
Confirmed: Yes, self-hosted with Docker Compose; a hosted web and iOS version also exists
Confirmed: Yes, runs on your machine; transcription is local, highlight ranking calls a cloud LLM
Hosted by the vendor
Code licenceDiffers
Partial: GPL-3.0 (copyleft)
Partial: AGPL-3.0 (strong copyleft, including network use)
Confirmed: MIT
—
Model weights licenceDiffers
Partial: 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
Confirmed: No separate model weights; uses the LLM and transcription services you configure
Confirmed: No separate model weights
—
Commercial useDiffers
Partial: GPL-3.0 code allows commercial use with copyleft conditions; licences of the models it uses are not stated
Partial: Allowed under AGPL-3.0 conditions; offering a modified version over a network means sharing its source
Confirmed: Yes, MIT (LLM provider terms apply separately)
—
Paid services needed?Differs
Confirmed: None required; Gemini (free key) or GPT-4 optional, or run fully offline with local GGUF models
Partial: 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
Partial: Needs an LLM API key; Gemini has a free tier with a daily limit, OpenAI and MuAPI are paid
Subscription
HardwareDiffers
Confirmed: NVIDIA GPU with CUDA 12.4+ strongly recommended; exact VRAM and RAM not stated
Confirmed: Runs on CPU by default (CPU-only Torch build, Apple silicon included); NVIDIA CUDA path optional. No RAM figure
Confirmed: Python 3.10+; Whisper runs on CPU or CUDA GPU, model size selectable
—
Operating systemsDiffers
Partial: Windows install scripts documented; Google Colab notebook; macOS and Linux not documented
Partial: 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
Confirmed: Windows, Linux and macOS install steps in the README
—
Setup effortDiffers
Confirmed: Medium; needs Python 3.10/3.11, FFmpeg, NVIDIA drivers and C++ Build Tools, then a .bat installer
Confirmed: Medium, Docker Compose with a .env of API keys
Confirmed: 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.

  • ViralCutter
  • SupoClip
  • AI shorts generator (short-video-maker)
1,646156 2026-10-052026-10-21 Tracked daily begins 2026-10-16ViralCutter, 2026-10-16: 424 stars, trackedViralCutter, 2026-10-17: 425 stars, trackedViralCutter, 2026-10-18: 428 stars, trackedViralCutter, 2026-10-19: 428 stars, trackedViralCutter, 2026-10-20: 428 stars, trackedViralCutter, 2026-10-21: 429 stars, trackedSupoClip, 2026-10-16: 1,450 stars, trackedSupoClip, 2026-10-17: 1,473 stars, trackedSupoClip, 2026-10-18: 1,501 stars, trackedSupoClip, 2026-10-19: 1,514 stars, trackedSupoClip, 2026-10-20: 1,526 stars, trackedSupoClip, 2026-10-21: 1,646 stars, trackedAI shorts generator (short-video-maker), 2026-10-05: 292 stars, estimated from public star recordsAI shorts generator (short-video-maker), 2026-10-12: 627 stars, estimated from public star recordsAI shorts generator (short-video-maker), 2026-10-18: 628 stars, trackedAI shorts generator (short-video-maker), 2026-10-19: 629 stars, trackedAI shorts generator (short-video-maker), 2026-10-20: 631 stars, trackedAI shorts generator (short-video-maker), 2026-10-21: 631 stars, tracked
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.

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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. RafaelGodoyEbert/ViralCutter ↗FujiwaraChoki/supoclip ↗mushigaite/short-video-maker ↗

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