This glossary defines over 82 video editing terms, from basic cuts and transitions to audio, color, file formats, captions, and post-production. This 2026 update adds AI video terms, licensing terms to check before using AI output commercially, and enterprise terms like templates, brand kits, and personalized video, for teams producing video at scale.
Someone on your team just volunteered you for a video. Maybe it’s a new-hire onboarding series, a product walkthrough for customers, or a benefits explainer that has to be ready before open enrollment. You don’t have a production crew, and the first round of notes comes back full of shorthand: “Tighten the rough cut, add B-roll under the intro, and use a J-cut into the interview.”
Knowing the core video editing terms is the fastest way to give clear feedback, write a usable brief, and hold your own with an agency or a video platform vendor. AI video tools use the same vocabulary in their prompts and settings, so it pays off there too. Wyzowl’s 2026 research found 91% of businesses use video as a marketing tool, and 63% of people say they’d most like to watch a short video to learn about a product or service. The teams being asked to make that video often aren’t video teams.
This glossary covers the video editing terms you’re most likely to run into, organized by category with plain-English definitions. In this glossary, you will find AI video editing terms, the licensing terms to check before you publish AI-generated content, and the enterprise terms that come up when a company starts producing video at scale.
Key takeaways
- J-cuts, L-cuts, B-roll, and color grading are the video editing terms that come up most often in edit reviews; knowing them makes feedback faster and more precise.
- AI video tools add their own vocabulary (text-to-video, AI voice, AI avatars, AI translation), and each one carries a licensing question about rights, consent, or ownership.
- The US Copyright Office has concluded that AI-generated output isn’t protected by copyright unless a human contributes sufficient creative expression, which makes human review part of the legal picture as well as the quality one.
- Templates, brand kits, and role-based access are how enterprise teams scale video across departments while keeping one brand standard.
What are some common video editing terms?
The most common video editing terms are the ones you’ll hear in almost every review or brief:
- Cut: an instant switch from one shot to the next.
- B-roll: supplemental footage layered over the main shot to illustrate what’s being said.
- J-cut and L-cut: edits where audio starts before (J) or continues after (L) the picture changes.
- Cross dissolve: a transition where one shot gradually blends into the next.
- Color grading: stylizing color to set a mood or match a brand look.
- Lower third: a text graphic at the bottom of the frame, usually a name and title.
- Rough cut: an early version of the edit with shots in order but not yet polished.
- Voiceover: narration recorded or generated separately from the footage.
- Aspect ratio: the shape of the frame, such as 16:9 for widescreen or 9:16 for vertical.
- Rendering: processing all edits and effects into a final, playable video.
For full definitions for each, along with the rest of the glossary, follow below.
How to use this video editing glossary
Terms are grouped by where they show up in the workflow, from planning a shoot to publishing the final file. Skim to the section you need, or jump straight to it using the table of contents.
General video production terms
These are the production-stage terms that shape a video before anyone touches an edit timeline. They’re also the words that come up most in briefs and project kickoffs.
Pre-production: Everything that happens before recording: scripting, storyboarding, scheduling, casting, and gathering assets. Strong pre-production is the cheapest place to fix a video.
Storyboard: A visual, scene-by-scene outline of the planned video, often rough sketches or frames with notes on narration and on-screen text. It lets stakeholders approve the flow before production starts.
Shot list: A detailed list of every shot needed, including angle, framing, and movement. It keeps the shoot on schedule and ensures the editor has what they need.
Assembly edit: The first pass at an edit, where all usable footage is placed on the timeline in script order. It’s long, unpolished, and meant only for the editor and core team.
Rough cut: The next version after the assembly edit, with the story in place and obvious weak shots removed. Pacing, graphics, and audio are still rough.
Fine cut: A refined version of the edit with tightened pacing, final shot choices, and most graphics in place. Feedback at this stage should be specific and small.
Picture lock: The point where the visual edit is final and no more shots will move. Sound mixing, color, and captions are finished after picture lock so they don’t have to be redone.
Timeline: The workspace in editing software where clips, audio, graphics, and effects are arranged in sequence across tracks. Most edit feedback refers to a timestamp on the timeline.
Clip: A single piece of video or audio media on the timeline. A finished video is made up of many trimmed, arranged clips.
Frame rate: The number of individual frames (still images) shown per second, measured in fps. Common rates are 24 fps for a cinematic look, 30 fps for most web video, and 60 fps for smooth motion.
Screen recording: Video captured directly from a computer screen, often with narration. It’s a staple for software demos, training, and customer support content.
Video editing techniques and effects
Most edit feedback comes down to how one shot hands off to the next, and these are the words for it.
Cut: The most basic edit, an instant switch from one shot to another. Most of any video is made of simple cuts.
Jump cut: A cut between two shots of the same subject from nearly the same angle, which makes time appear to jump forward. It’s common in talking-head videos to remove pauses and keep pacing tight.
Match cut: A cut that links two shots through a shared shape, motion, or composition, such as a spinning globe cutting to a spinning coin. It creates a smooth visual connection between ideas.
Smash cut: An abrupt cut from one scene to a very different one, often for surprise or comedic effect.
Cutaway: A shot that briefly moves away from the main action to show something related, such as a close-up of a product while someone describes it. Cutaways add context and hide edits in interviews.
J-cut: An edit where the audio from the next shot starts before its picture appears. It pulls the viewer into the next scene and makes transitions feel natural.
L-cut: An edit where the audio from one shot continues after the picture has cut to the next. It’s the reverse of a J-cut and is often used to show a listener’s reaction.
Cross dissolve: A transition where the end of one shot gradually blends into the start of the next. Also called a dissolve, it often signals a passage of time or a softer change in topic.
Fade: A gradual transition to or from a solid color, usually black. Fade-ins and fade-outs typically open and close a video or a major section.
Chroma key: A technique that removes a solid-colored background (usually green or blue) so another image can be placed behind the subject. Also called keying or green screen.
Compositing: Combining multiple visual layers, such as footage, graphics, and keyed subjects, into a single image. Chroma key is one common type of compositing.
Color correction: Adjusting footage so colors, exposure, and contrast look accurate and consistent from shot to shot. It’s a technical fix that happens before creative styling.
Color grading: Stylizing color after correction to create a mood or a consistent brand look. Correction makes footage look right; grading makes it look intentional.
LUT (lookup table): A preset file that maps one set of colors to another, used to apply a consistent color grade across clips quickly. Teams often build a LUT to match brand guidelines.
White balance: A camera or editing setting that makes white objects appear neutral under different lighting, so skin tones and colors don’t look too blue or orange.
Continuity: Consistency of details from shot to shot, like a coffee cup staying in the same hand or lighting staying the same across a scene. Continuity errors pull viewers out of the story.
Sound and audio terms
Viewers will forgive slightly imperfect footage far more readily than bad audio. These terms cover how sound is recorded, cleaned up, and balanced.
Audio mixing: Balancing the levels of dialogue, music, and sound effects so everything is clear and nothing competes. A good mix keeps the voice easy to understand at all times.
Audio ducking: Automatically lowering background music whenever someone speaks, then bringing it back up in the pauses. Ducking alone fixes most “I can’t hear the narrator” feedback.
Foley: Everyday sound effects recorded in sync with the picture, such as footsteps, paper rustling, or a door closing. Foley makes a scene feel real.
Voiceover: Narration that’s recorded or generated separately from the footage and played over it. Voiceover carries the explanation in most business, training, and explainer videos. Also called narration.
ADR (automated dialogue replacement): Re-recording dialogue in a studio after filming, then syncing it to the original picture. It’s used when location audio is unusable.
Visual and graphics terms
These terms describe what gets added on top of or around footage to explain, brand, or emphasize a message.
B-roll: Supplemental footage that plays over the main shot (the A-roll) to illustrate what’s being said, such as shots of an office during an interview about company culture.
Lower third: A text graphic placed in the lower third of the frame, usually showing a speaker’s name and title. It’s one of the most common brand-template elements.
Text overlay: Any text placed on top of video, such as headlines, key points, or statistics. Overlays work best when they highlight one point from the narration in a few words.
Motion graphics: Animated text, shapes, icons, and illustrations used to explain ideas visually. They’re especially useful for data, processes, and abstract concepts that are hard to film.
Picture-in-picture: A smaller video window placed inside the main frame, such as a presenter’s face in the corner of a screen recording.
Split screen: Two or more video frames shown side by side at the same time, often to compare options or show simultaneous action.
Montage: A sequence of short shots edited together to compress time or build momentum, such as a quick series of customer moments over music.
Ken Burns effect: Slow panning and zooming across a still image to create motion. It’s a simple way to bring photos and screenshots to life.
Bumper: A short branded clip, usually a few seconds long, placed at the start or end of a video. It often features a logo animation. Short bumpers are sometimes called stings.
Formats and file management terms
File settings decide whether a video looks sharp in a webinar and still loads quickly on a phone.
Resolution: The number of pixels in each frame, written as width by height. Common resolutions are 1080p (1920 x 1080) and 4K (3840 x 2160). Higher resolution means more detail and larger files.
Aspect ratio: The ratio of the frame’s width to its height. Common aspect ratios are 16:9 for widescreen and web video, 9:16 for vertical mobile and social video, and 1:1 for square social posts.
Codec: Short for coder-decoder, the method used to compress and decompress video data. H.264 is the most widely supported codec for web delivery; H.265 (HEVC) and AV1 compress more efficiently but have narrower playback support.
Compression: Reducing file size by removing redundant visual or audio data. More compression means smaller files and faster loading, but too much causes blocky or blurry footage.
Bitrate: The amount of data used to encode each second of video, usually in megabits per second (Mbps). Higher bitrates generally mean better quality and larger files.
Proxy file: A lower-resolution copy of high-resolution footage, used during editing so software runs smoothly. Before final export, the edit is relinked to the full-resolution originals.
Lighting and cinematography terms
If you’re briefing a videographer or reviewing raw footage, these are the camera-side terms you’ll hear.
Three-point lighting: A standard setup using a key light (main light), fill light (softens shadows), and backlight (separates the subject from the background). It’s the default for interviews and talking-head videos.
Wide shot: A shot that shows the subject in its full surroundings. Wide shots establish location and context at the start of a scene.
Medium shot: A shot that frames the subject from roughly the waist up. Most presenter and interview footage uses this framing.
Close-up: A shot taken tightly on a subject or detail, such as a face or a product. Close-ups add emotion and emphasis.
Rule of thirds: A composition guideline that divides the frame into a three-by-three grid and places key subjects along the lines or intersections. It produces more balanced, natural-looking shots than centering everything.
Text, captions, and subtitling terms
Captions and transcripts serve viewers watching with the sound off, and they’re essential for accessibility. The W3C’s Web Content Accessibility Guidelines include captions for all prerecorded audio in synchronized media as a baseline (Level A) requirement.
Closed captions: Text versions of dialogue and important non-speech audio (like music or sound effects) that viewers can turn on or off. Closed captions are the standard for accessibility.
Open captions: Captions burned permanently into the video image, so they can’t be turned off. They’re common in social video, where many people watch muted.
Subtitles: Text that shows spoken dialogue, typically for viewers who can hear the audio but need a translation. Unlike captions, subtitles usually don’t describe non-speech sounds.
Transcript: A full text version of everything spoken in a video. Transcripts support accessibility, make content searchable, and can be repurposed into blog posts or documentation.
Video text track: A separate file, such as a WebVTT (.vtt) or SRT file, that holds captions, subtitles, or descriptions and displays in sync with the video.
Audio description: Narration that describes important visual information for viewers who are blind or have low vision, such as on-screen text or actions that aren’t spoken aloud.
Post-production and final output terms
Post-production is everything that happens after recording, from editing to delivery. These terms cover the final stretch.
Non-linear editing (NLE): Editing where any clip can be accessed and changed at any point, without working from beginning to end. Nearly all modern editing software is non-linear.
Cue point: A marker placed at a specific moment in the video or audio, used to sync edits, trigger effects, or line up music with picture.
Rendering: Processing all edits, effects, and transitions into playable video frames. Traditional rendering happens once, before a file is shared. Some platforms render at the moment of play instead, which makes it possible to change content or personalize it for each viewer without re-exporting.
Export: Saving a finished video as a file in a chosen format, resolution, and codec, such as an MP4 for web upload.
TRT (total running time): The full length of a video from first frame to last, including titles and credits.
Video hosting: The platform where video files are stored, managed, and delivered to viewers. Enterprise teams typically look for hosting that includes analytics, access controls, and integrations with their other systems.
Sending the same message to thousands of customers or employees? One video template can render a unique version for every viewer, with each person’s name, plan, or next step built in. See real examples of personalized video at scale to share with the teams that own those communications.
Content types and usage terms
These terms describe the formats and structural pieces that make a video work for its audience.
Hook: The first few seconds of a video, designed to tell viewers why they should keep watching. A strong hook names the viewer’s problem or the payoff right away.
Cold open: Starting a video in the middle of the action or with a key moment, before any title or introduction.
Talking head: A shot of a person speaking directly to the camera, used in interviews, executive messages, and training videos.
Explainer video: A short video that explains a product, process, or idea, usually with narration, motion graphics, or screen recordings. Explainers are a staple of business video; here’s how teams build them with an explainer video maker.
UGC (user-generated content): Video created by customers, employees, or fans rather than the brand. UGC adds authenticity to marketing and social channels.
End screen: The final frame or seconds of a video, used to direct viewers to a next step such as a link, a related video, or a sign-up.
AI video editing terms
Most AI video tools draft a first version that a person then refines. These terms describe which part of the work each tool takes on; the next section covers the licensing questions that come with them.
Text-to-video: Generating a draft video from a written prompt. The AI typically produces scenes, a narration script, and suggested visuals that an editor then refines.
Document-to-video: Generating a draft video from an existing document, such as a product spec, policy PDF, or training guide. It’s one of the fastest ways to turn existing content into video; here’s how AI document-to-video works.
AI-generated media: Images or short video clips created by AI from a text description. Teams use them when no suitable stock asset exists for a scene.
AI voice (text-to-speech): Synthetic narration generated from a written script. Because the voice is generated, updating a line of narration means editing text instead of booking a new recording session. Explore AI voices for video.
Voice cloning: Creating a custom AI voice from recordings of a real person, so videos can be narrated in a familiar, consistent voice. Responsible platforms require the speaker’s consent.
AI avatar: An AI-generated human presenter who delivers a script on screen. Avatars can be stock characters or custom versions created from a recording of a real person. See how AI avatar videos work.
AI translation: Translating a video’s narration, captions, and transcript into other languages with AI, so one source video can reach audiences in multiple languages. When the translated narration replaces the original voice track, it’s often called AI dubbing.
Human-in-the-loop: A workflow where AI drafts or suggests content and a person reviews, edits, and approves it before anything is published. In regulated industries like banking, insurance, and healthcare, compliance teams often require this review before anything goes out.
Building the case for a video platform at your company? If your team is being asked to produce more video without adding headcount, SundaySky, an enterprise video creation and personalization platform, uses optional AI tools to draft video from a prompt or document while your editors stay in control of what’s published. Take the five-minute product tour and share it with your team.
AI video editing software licensing terms
Before you publish anything made with AI video editing software, check what the license actually allows. These terms show up in vendor contracts, terms of service, and security reviews. (This section is general information, not legal advice; your legal team has the final word.)
Commercial use rights: Permission to use content in work that promotes or earns money for a business, such as ads, sales outreach, or customer communications. Some AI tools limit commercial use to paid plans.
Royalty-free: A license where you pay once (or as part of a subscription) and can use the asset repeatedly without paying per use. Royalty-free doesn’t mean free, and it often still comes with restrictions on how the asset can be used.
Sync license: Permission to pair a specific piece of music with video. Using a specific recording also requires a master use license from whoever owns that recording. Royalty-free music libraries that cover video use typically bundle both.
AI output ownership: Who owns and can protect content generated by AI. In its January 2025 report on copyrightability and artificial intelligence, the US Copyright Office concluded that AI outputs are protected by copyright only where a human author has determined sufficient expressive elements, and that prompts alone generally aren’t enough. Human editing and arrangement can be protected.
Voice and likeness consent: Written permission from a real person before their voice or appearance is used to create an AI voice or avatar. Many states recognize a right of publicity that protects how a person’s identity is used commercially.
IP indemnification: A contract clause where the vendor agrees to cover certain legal costs if content generated by its tool infringes someone else’s intellectual property. Check whether it applies to AI output and what conditions apply.
Data use and model training terms: The section of a vendor agreement that explains whether your uploaded content, scripts, or data can be used to train AI models. Enterprise buyers usually look for a clear opt-out or a commitment not to train on customer data.
Seat-based license: A pricing model where the license covers a set number of named users. When video production spreads across departments, the number of seats (and the roles each seat can hold) matters as much as the per-seat price.
Pulling together options for a security or legal review? SundaySky is SOC 2 and HITRUST certified and HIPAA and GDPR compliant, and every AI feature in the platform is optional and permission-gated, so admins decide which tools their teams can use. Explore the enterprise video platform
Enterprise video and personalization terms
Once video moves beyond one team, a different set of terms starts to matter. These describe how companies keep video consistent, governed, and relevant as more people create it.
Video template: A pre-built video structure with set scenes, layouts, and branding, where only specific fields can be changed. Templates let non-editors produce polished video quickly without breaking brand rules.
Brand kit: A saved set of approved logos, colors, fonts, and styles applied to every video automatically. Sometimes called a theme or brand settings.
Personalized video: A video that changes for each viewer based on their data, such as their name, account details, plan, or next best action. At its fullest, personalization renders an individual version for every person instead of a handful of segment-level variations.
Personalization token: A placeholder in a script or on-screen text, such as {first_name} or {plan_name}, that’s replaced with each viewer’s actual data when the video plays.
Real-time rendering: Generating each video at the moment of play using current data, instead of pre-rendering and storing a file for every version. It means updates show up immediately and there are no stored variants to manage.
Interactive CTA: A clickable call-to-action button inside the video player, such as “Book a meeting” or “Review your plan,” that takes viewers straight to a next step. CTA clicks show directly whether a video moved someone to act.
Approval workflow: The review steps a video goes through before it’s published, such as brand, legal, or compliance sign-off. Clear approval workflows keep video moving without skipping governance.
Role-based access: Permission settings that control who can create, edit, approve, or publish video. For example, an editor might build templates while sales reps can only customize the fields the editor opened up.
What enterprise teams should know
Video vocabulary is the easy part. A new video owner can pick it up in an afternoon. The harder problem is when demand for video keeps growing across HR, marketing, sales, and customer experience, while the number of people who can produce it stays flat. Requests stack up behind one or two skilled editors, and different teams start buying their own tools to keep up.
The teams that break out of that pattern separate the two jobs. A central creative or brand team builds templates and sets the guardrails once, and everyone else produces within them.
That’s also where personalization comes in. Once production is no longer the constraint, the next question is relevance: whether every customer or employee can get a version that reflects their own situation.
Fielding requests from sales for on-brand video? SundaySky Amplify gives sales and customer-facing teams locked, on-brand templates they can personalize and send in minutes. Learn how it supports sales enablement.
Video editing terms FAQ
Which video editing terms should beginners learn first?
The most common video editing terms include cut, jump cut, J-cut, L-cut, B-roll, cross dissolve, color grading, lower third, rough cut, voiceover, aspect ratio, and rendering. These come up in almost every edit review because they describe how shots connect, what’s layered on screen, and how the final file is produced. If you’re new to video, start with the techniques and visual graphics sections of this glossary; they cover the terms you’ll use most when giving feedback. As AI tools become part of everyday production, terms like text-to-video, AI voice, and human-in-the-loop are quickly joining that list.
What licensing terms matter when choosing AI video editing software?
Start with commercial use rights, so you know whether AI-generated content can be used in marketing, sales, or customer communications. Then check AI output ownership, IP indemnification, and the vendor’s data use and model training terms, which explain whether your content can be used to train its models. If you plan to use AI voices or avatars based on real people, confirm the vendor requires documented consent. Finally, look at music licensing and seat-based pricing. The US Copyright Office has concluded that AI-generated material isn’t protected by copyright unless a human contributes sufficient creative expression, so human review matters for ownership as well as quality. Your legal team should make the final call.
How do enterprise teams produce more video without hiring more editors?
Most enterprise teams scale video by separating creation from customization. A small group of editors builds templates with approved branding, layouts, and messaging, and people across departments produce videos within those guardrails. AI tools speed up drafting, narration, and translation, while human reviewers keep control of what’s published. SundaySky is built for this model: SundaySky Create lets editors build and personalize video at enterprise scale, and SundaySky Amplify lets sales and customer-facing teams customize locked templates in minutes. With SOC 2 and HITRUST certification, HIPAA and GDPR compliance, and role-based access, it fits regulated teams that need governance built in.
From knowing the terms to producing at scale
Knowing the vocabulary makes every brief, review, and vendor conversation faster. Producing the volume of video your company now expects takes a platform that lets more people create within your brand standards and makes every video relevant to the person watching it.
Explore how SundaySky helps enterprise teams create personalized, on-brand video across marketing, training, sales, and customer experience. Get a Demo or explore SundaySky’s AI video editing features.
