AutoClip vs YT Short Clipper

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: + OpenShorts + AI YouTube Shorts Generator + SupoClip + AutoShorts (JayWebtech)+ AI shorts generator (short-video-maker)+ ViralCutter

AutoClipzhouxiaoka/autoclip

YT Short Clipperjipraks/yt-short-clipper

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

All 5

Popularity and activity (from GitHub)

Stars

9,601Top

1,047

—

Gain this week

Unknown

—

Signal

Building history

—

Commits / 4 wk

335Top

—

Latest release

v1.5.6 · 2026-10-09Top

v2.0.7-beta · 2026-09-20

—

Commits / 12 wk

415

—

People committing / 12 mo

—

Issues opened / closed, 30 days

62 / 66

0 / 0

—

Facts, with sources on each project page

Runs on my machine?Differs

Yes, desktop app, Docker web UI or CLI; cutting and rendering always local

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

Hosted by the vendor

Code licence

MIT

—

Model weights licenceDiffers

No separate model weights; uses the Whisper/SenseVoice and LLM models you configure

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

—

Commercial useDiffers

Yes, MIT code; terms of your chosen model providers apply

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

—

Paid services needed?Differs

None required with Ollama / LM Studio and local Whisper; cloud LLM, cloud ASR, AI images and publishing services are optional

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

Subscription

HardwareDiffers

Desktop app: Apple Silicon Mac with macOS 13 or newer (Intel Macs not supported), or Windows 10/11 x64; no RAM or GPU figures

Not documented

—

Operating systemsDiffers

Desktop for Windows 10/11 x64 and macOS Apple Silicon; Intel Macs and Linux via Docker or CLI

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

—

Setup effortDiffers

Easy, desktop installers (.dmg / -setup.exe) with Python and FFmpeg bundled; Docker or pip for CLI

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

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Stars over time

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

AutoClip
YT Short Clipper

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.

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

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

- AutoClip: 9,601 GitHub stars, 415 commits in 12 weeks, licence MIT
- YT Short Clipper: 1,047 GitHub stars, 14 commits in 12 weeks, licence MIT

Where they differ:
- Runs on my machine?: AutoClip Yes, desktop app, Docker web UI or CLI; cutting and rendering always local; YT Short Clipper Yes, Windows desktop app; the LLM step can be local (Ollama, vLLM) or a cloud API
- Model weights licence: AutoClip No separate model weights; uses the Whisper/SenseVoice and LLM models you configure; YT Short Clipper No bundled LLM weights; uses the provider you configure (MediaPipe for face tracking)
- Commercial use: AutoClip Yes, MIT code; terms of your chosen model providers apply; YT Short Clipper Yes, MIT code; you must have rights to the YouTube videos you re-cut
- Paid services needed?: AutoClip None required with Ollama / LM Studio and local Whisper; cloud LLM, cloud ASR, AI images and publishing services are optional; 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
- Hardware: AutoClip Desktop app: Apple Silicon Mac with macOS 13 or newer (Intel Macs not supported), or Windows 10/11 x64; no RAM or GPU figures; YT Short Clipper Not documented
- Operating systems: AutoClip Desktop for Windows 10/11 x64 and macOS Apple Silicon; Intel Macs and Linux via Docker or CLI; YT Short Clipper Windows 10/11 only; not ready for macOS or Linux
- Setup effort: AutoClip Easy, desktop installers (.dmg / -setup.exe) with Python and FFmpeg bundled; Docker or pip for CLI; YT Short Clipper Easy, portable zip from GitHub Releases; building from source needs Node, Rust and Python

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. zhouxiaoka/autoclip ↗jipraks/yt-short-clipper ↗

AutoClip vs YT Short Clipper

Stars over time

Notes for a video or post

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