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AI & automated editing

Auto-cut

Also known as: automatic cutting, machine cutting

Letting software decide where each shot begins and ends, instead of a person setting every in point and out point by hand.

Updated

What it means

Auto-cut is the narrow part of automated editing that places the edit points. Everything else can be automated too, but this is the step that decides a shot starts here and ends there, which is the decision a viewer actually feels.

Good automatic cutting reads motion onset, speech and audio peaks, then trims to the moment just before the event so the viewer has something to read before it happens. The judgement is the same one a person makes when they Trim a clip by hand.

The difference is uniformity. A machine applies that judgement across every clip on a card, including the hundred nobody had the patience to open, which is where most of the usable footage in a long session actually hides.

How it works in practice

Marks come from a mix of signals. Motion says when something started, Audio event detection catches an impact or a shout, and Speech-to-text stops a sentence being sliced apart halfway through a word.

Tempo usually gets a vote as well, because a cut that lands on a beat reads as deliberate while one that lands just after it reads as a mistake. That is why Beat sync and cutting are decided together rather than in sequence.

Length is the main control a person still holds. A tighter target forces the cutter to drop whole stretches rather than trim them, which changes the character of the result far more than any single edit point does.

What to watch out for

Marking the exact instant of impact is the classic error. The viewer gets no approach and no anticipation, so the biggest moment in the footage reads as abrupt and slightly confusing rather than as a payoff.

A machine that always trims the same distance ahead of the action makes the opposite mistake. Every shot gets an identical run up, which flattens the rhythm of a whole sequence into something mechanical.

Automatic cutting also struggles with the deliberate slow shot. A long static landscape has no onset to detect, so it is often dropped even when it was exactly what the edit needed for contrast with the next Action recognition hit.

How RawClip handles it

Cut points are derived from motion, sound and tempo rather than from fixed offsets, and each one is nudged so the viewer sees the approach before the moment lands. The result is an assembly with rhythm, not a list of clipped impacts.

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