What is the best clipping tool for Vtubers?

It depends on which step you want removed. If hunting through a long archive is the bottleneck, choose a tool with automatic highlight finding. If you already know the timestamps, a vertical editor like StreamLadder is faster. The Vtuber-specific check that applies to all of them is whether the vertical crop keeps both your model and the gameplay in frame, because most auto-reframing is built around detecting a human face.

Why do clipping tools crop my Live2D model out?

Because automatic vertical reframing normally works by detecting a human face and centring the 9:16 crop on it. A Vtuber's avatar is rendered art, is often a small corner box over full-screen gameplay, and competes with game characters that the face tracker may lock onto instead. The result is a technically reframed clip that frames the wrong subject.

Is Eklipse or Opus Clip better for Vtuber streams?

They are built for different content. Eklipse detects game events such as kills and hype moments, which suits FPS gameplay but misses just-chatting, singing and reaction segments. Opus Clip is strong on talking-head footage where the speaker fills the frame. Neither is designed around an avatar sitting in a corner box over gameplay.

Is there a free Vtuber clipping tool?

Yes, in two senses. KumoTools offers free browser utilities for Vtubers including moment discovery, and a fully manual route with yt-dlp plus DaVinci Resolve costs nothing but time. Paid tools are worth it only when the hours saved on finding and framing clips exceed their cost.

Do these tools use generative AI?

Most market themselves as AI tools, though what they usually mean is automated detection rather than generated footage. VTubeClip uses audio analysis and computer vision and generates nothing: the video and audio in every clip are the streamer's own footage, cut and reframed.

Vtuber Clip Tool Comparison 2026

Every clipping tool claims to turn streams into Shorts. The useful question for a Vtuber is narrower: does it find the moment, and does the vertical crop keep your model and the gameplay both on screen? This page compares the main options against those two questions — including where ours is the wrong answer.

Most "best clipping tool" roundups are written by one of the tools in the list. This page is too — we make VTubeClip — so instead of ranking everything with us at number one, it is organised by what each tool is actually built for, and it says plainly where ours is the wrong choice.

The organising question is not "which is best" but "which problem are you paying to remove".

The comparison at a glance

Tool	Built for	Finds highlights?	Avatar-aware framing	Pricing shape
VTubeClip	Vtuber streams	Yes — audio analysis	Yes — model + game both kept	Pay per clip
Opus Clip	Talking-head / podcast	Yes	No — speaker-centred	Subscription
Eklipse	Game highlights (FPS)	Yes — game events	No	Freemium
StreamLadder	Manual vertical editing	No — you pick	Manual layouts	Freemium
KumoTools	Vtuber utilities	Moment discovery	n/a — not a renderer	Free
Manual (Resolve etc.)	Anything	No	Whatever you build	Free / licence

"Avatar-aware framing" is the column that matters for Vtubers and the one almost nobody fills, so it is worth explaining what it means.

Why avatar-aware framing is the whole problem

Automatic vertical reframing is built on one assumption: find the human face, centre the 9:16 crop on it. For a webcam streamer that is exactly right. For a Vtuber it breaks, because:

There is no real face — a Live2D or 3D model is rendered art, so face detection misses it or drifts.
The avatar is small and off-centre — typically a corner box over full-screen gameplay.
Other faces exist on screen — game characters and cutscenes pull the tracker away.
The joke lives in two places at once — the reaction (avatar) and the cause (gameplay). Crop to one and it stops being funny.

The full explanation, with the two layouts that do work, is in game vs model layouts.

Head-to-head write-ups

Each of these goes deeper than the table, including the cases where the other tool is the better pick:

vs Eklipse — Eklipse reads game events (kills, hype). Excellent for FPS, weak on just-chatting, singing and reaction streams, which is most Vtuber content.
vs Opus Clip — strong on talking-head footage where the speaker is the frame. On avatar-plus-gameplay layouts its speaker-centred logic frames the wrong subject.
vs StreamLadder — a fast manual vertical editor. If you already know which 30 seconds you want, this is the shortest path; it does not find moments for you.

KumoTools — complementary, not competing

Worth calling out separately because it is the closest thing to a Vtuber-native peer. KumoTools is a set of free browser utilities made by a solo Vtuber developer: stream schedule maker, OBS chat widget, thumbnail maker, subathon timer, and KumoMoments for finding clip-worthy moments in Twitch VODs.

It overlaps with us at exactly one point — finding moments — and not at the point where the work actually is for most people, which is rendering a vertical clip that keeps the model and the gameplay in frame. If you want free utilities around your stream, it is genuinely good and we would point you there. If your bottleneck is producing the finished vertical clips, that is a different job.

Choosing without reading all of the above

Which step hurts? Hunting through a 6-hour VOD → you want automatic highlight finding. Already know the timestamps → a vertical editor is faster. Subtitles → a transcription tool, not a clipper.
What is on screen? Gameplay plus a corner avatar → check that both survive the crop. Avatar-only talk or singing → check the model fills the frame instead of being letterboxed.
How many clips per month? A handful → manual editing is fine and free. A steady output → removing the search step is where the money actually goes.

Where VTubeClip is the wrong choice

Being straight about this is more useful than another superlative:

You need burned-in subtitles or translation. We do editing and framing only, no subtitles. Pair with a transcription tool.
Your content is a talking head, not an avatar. The avatar-aware layout logic is built for models; a speaker-centred tool will serve you better.
You want heavy stylised editing. Custom effects, zooms and motion graphics still belong in a real NLE.
You clip one video a month. Doing it by hand is genuinely cheaper.

Where it does fit: a Vtuber or clipper turning long stream archives into vertical Shorts regularly, who is losing hours to the search step and to clips that crop the model out. It runs on audio analysis and uses no generative AI — nothing is created or synthesised, it cuts the streamer's own footage.