The AI Clipping Glossary: 28 Terms Editors and Marketers Actually Use
AI clipping sits between two vocabularies: film editing, which has a century of precise terms, and growth marketing, which invents three new ones a quarter. This glossary defines the terms that actually matter when you clip long-form video in 2026, in plain English, in the sense working editors use them.
Definitions are grouped by where they show up in the workflow: selecting moments, cutting boundaries, delivering formats, and evaluating AI tools.
Selection and story terms
These terms describe how editors talk about which moments deserve to become clips, the judgment half of clipping.
- Selects: the moments chosen from raw footage as worth using; a selects list is the editor's shortlist before any cutting happens.
- Creative brief: a short written statement of what a clip should achieve, for example find the moment the tension changes; the input that drives brief-conditioned clipping.
- Setup: the material that gives a moment its meaning, the question before the answer, the line before the laugh.
- Payoff: the moment the setup was building toward; cutting it off is the most common AI clipping failure.
- Landing: the beat after the payoff, a reaction or a breath, that lets the moment complete before the cut.
- Story beat: a unit of narrative change; strong clips usually contain exactly one complete beat.
- Spoiler boundary: the line in a film or series past which reveals must not appear in marketing material.
- Campaign coherence: the property of a clip set selected against one brief so it reads as one voice rather than random highlights.
Cutting and boundary terms
These terms describe where a clip starts and ends, the craft half, and the place where automated tools most often fail.
- In point / out point: the exact timecodes where a clip begins and ends.
- Handles: spare frames kept around the in and out points so entrances, reactions, and breaths survive the cut.
- Timecode: the HH:MM:SS:FF address of any frame in the source; word-accurate clipping means boundaries land on the right word, not just the right second.
- Hard cut: an instant transition with no fade; the default for social clips.
- J-cut / L-cut: edits where audio leads or trails the picture across a cut, used to smooth clip openings.
- Boundary failure: an automated cut that starts mid-thought or ends before the payoff; the top recurring complaint in public reviews of AI clipping tools.
- Reframing: recomposing a wide shot for a different aspect ratio, following the speaker or action.
- Dead air: silence that serves no story purpose; distinct from meaningful silence, which narrative editors protect.
Format and delivery terms
These terms cover what a finished clip has to be to publish well, the packaging half.
- 9:16 / vertical: the portrait aspect ratio required by TikTok, Reels, and Shorts.
- Burned-in captions: subtitles rendered permanently into the video image, standard for sound-off social viewing.
- Safe margins: the screen areas platform UI covers; text placed there gets hidden by buttons and captions.
- Master: the highest-quality export from which platform versions are derived.
- Teaser: a 15-45 second single-idea cut that sells one feeling; distinct from a trailer, which makes the full argument.
- Hook: the first one to three seconds of a clip, which decide whether a viewer stays.
- Completion rate: the share of viewers who watch a clip to the end; the metric short-form feeds reward most consistently.
- NLE: nonlinear editor, the timeline software (Premiere, Resolve, Final Cut) where finished campaigns are assembled.
AI clipping tool terms
These terms describe how automated clipping systems work and how to evaluate them, the vocabulary of buying decisions.
- Signal-based clipping: selection driven by measurable engagement signals (keywords, sentiment spikes, laughter, pace); the architecture of OpusClip, Vizard, and Klap as of 2026.
- Brief-conditioned clipping: selection driven by a human-written creative brief, with boundaries cut around complete units of meaning; the architecture BriefCut is built on.
- Virality score: a signal-based tool's numeric prediction of clip performance; useful for ranking, not auditable as reasoning.
- Explainable selection: a selection that comes with its reasoning, matched intent, context, and timecode, so a human can audit it.
- Credits: the consumption unit most clipping tools bill in, typically charged per processing minute or generated clip, kept or not; check expiry terms before subscribing.
- Discard rate: the share of AI-generated clips a team throws away; the practical quality metric for any clipping tool.
- Transcript-based editing: editing video by editing its transcript text, Descript's model; precise but manual.
- Boundary test: the fastest tool evaluation there is: inspect only the first and last two seconds of every generated clip.
Frequently asked questions
What is the difference between a select and a clip?
A select is a chosen moment in the source footage; a clip is the exported, formatted, captioned deliverable made from it. Selection is judgment, clipping is production.
What does word-accurate boundary mean?
The clip's in and out points land exactly at the right words, so the thought is complete: setup in, payoff kept, landing preserved. Second-accurate boundaries routinely amputate one of the three.
Who maintains this glossary?
The BriefCut team, and it is updated as the vocabulary shifts; last update August 5, 2026. Suggest missing terms through the beta waitlist form on the homepage.