AI Video Editing Glossary

An AI editing paradigm where autonomous agents interpret creative intent and execute complex editing workflows independently.

The use of artificial intelligence to automate and enhance video editing tasks such as cutting, trimming, captioning, and color correction.

AI technology that creates new video content, including B-roll, backgrounds, effects, music, and visual enhancements from text prompts or existing footage.

Editing videos by typing or speaking instructions in plain English, which AI interprets and executes on your timeline.

AI-powered analysis that automatically identifies distinct scenes, shots, and transitions within video footage.

AI technology that generates video content directly from text descriptions or scripts.

AI's ability to analyze and interpret visual content in video frames, including scenes, objects, faces, emotions, and actions.

Software-driven editing workflows that automatically perform tasks like cutting, trimming, transitions, and color matching without manual input.

Supplementary footage intercut with the main (A-roll) footage to add visual variety, context, and professional polish.

An abrupt transition between two sequential shots of the same subject, creating a jarring visual 'jump' in the footage.

The first assembled edit of a video, containing the basic structure and sequence of clips before fine-tuning.

The primary interface in video editing software where clips, audio, transitions, and effects are arranged along a temporal axis.

Transforming existing long-form content into multiple formats and platforms to maximize reach and ROI.

AI-powered identification and extraction of the most engaging or important moments from long-form video content.

Specialized video editing workflows for podcast recordings, including multi-camera switching, speaker layouts, and clip extraction.

Brief video content (typically 15-90 seconds) designed for platforms like TikTok, Instagram Reels, YouTube Shorts, and social feeds.

AI-powered speech-to-text technology that automatically generates synchronized captions and subtitles for video content.

Automatically detecting and removing verbal fillers like 'um', 'uh', 'like', 'you know' from video and audio content.

Automatically detecting and removing silent pauses, dead air, and awkward gaps from video and audio recordings.

AI's ability to identify and distinguish between different speakers in audio and video content.

AI technology that converts spoken language in audio and video into written text, enabling transcription, captioning, and search.

Exporting and reformatting a single video for multiple platforms (YouTube, TikTok, Instagram, etc.) in a single action.

Optimizing video content for search engine discoverability through metadata, captions, transcripts, structured data, and platform-specific best practices.

A video editing application that runs entirely in a web browser, requiring no software download or installation.

Making video content usable by people with disabilities through captions, audio descriptions, transcripts, and accessible player controls.