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How AI video tools actually work

The vocabulary around AI video is genuinely confusing, partly because vendors use the same words for different things. "AI video generator" might mean a text-to-video model, or a tool that cuts up footage you already own — two completely different products. These pieces define the terms plainly, so you can tell what a tool actually does before paying for it.

What this topic covers

01

Selection versus splitting

An AI clip generator chooses time ranges based on content — looking for a hook, context and a payoff. A splitter cuts at fixed intervals regardless of what is being said. The output looks superficially similar and behaves completely differently.

02

Editing versus generating

Repurposing tools edit footage you provide. Generative models create footage that never existed. Products in the first category are often marketed with language borrowed from the second.

03

What transcription drives

In speech-led tools, the transcript is the substrate for almost everything: selection, filler removal, captions and search. This is why results collapse on footage without clear speech.

04

What none of them can promise

No tool can guarantee a clip performs. Selection and cleanup are accelerated; whether something lands still depends on the idea, the delivery, the audience and distribution.

Put this into practice with AI clip generator or What is Postika? .

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