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Explainers on AI video editing

Editing video with AI: cuts, cleanup and colour

AI now handles parts of an edit that used to take hours: trimming a long recording, cleaning up the sound, matching colour between shots and changing what is in the frame. This site explains how those techniques work and compares the tools behind them.

The node tree

What AI does at each stage of an edit

Grading software chains its corrections as nodes, each one taking the result of the last. An AI-assisted edit runs the same way: each job hands its result to the next.

  1. Cut

    Automatic cuts

    Pauses, retakes and filler words are found from the audio and trimmed, or a long recording is split at scene changes.

  2. Clean

    Audio cleanup

    Background noise and room echo are reduced and voices levelled, so clips recorded in different rooms sit together.

  3. Balance

    Colour matching

    Exposure and white balance are evened out between shots, or one clip is matched to the look of another.

  4. Caption

    Captions and text

    Speech becomes subtitles and an editable transcript; some tools translate them or edit the video by editing the text.

  5. Generate

    Generative edits

    Objects removed, backgrounds replaced, a shot extended or new footage made from a prompt, then cut in like any clip.

Choosing a tool

What separates one AI editor from another

Most tools list the same features. These are the places where they actually differ once you start working.

  • Control after the automatic pass

    Every automatic cut, caption and colour change should stay editable. A result you can only accept or regenerate costs time when one shot is wrong.

  • Generative edits that hold up

    Look closely at hands, faces, text and fast motion in generated or altered footage, where artefacts tend to show first.

  • Formats in and out

    Check the camera formats and frame rates it opens, the export resolutions and aspect ratios it offers, and whether free exports carry a watermark.

  • Where the footage is processed

    Some tools work on your machine, others upload to their servers. That matters for client footage, large files and slow connections.

Limits

Where AI editing falls short

  • Judgement

    It cannot pick the story

    Automatic cutting keys off speech and silence. Deciding which take works, or what the video is really about, is still an editor's call.

  • Source

    It cannot fix every shot

    Cleanup tools tidy noise and uneven colour. Footage that is out of focus, blown out or distorted stays that way.

  • Rights

    Generated footage has terms

    Generated and altered footage can carry usage terms of its own, and some platforms ask for it to be labelled.

Explainers are on the way

Explainers and comparisons will appear here as they are published. Until then, What This Site Is says who runs it, and How We Write sets out how the pages are put together.

What this site is

The questions

The questions it is organised around

  • What's the best AI video editor for someone with no editing experience?
  • Is there a free AI video editor good enough for weekly video uploads?
  • Which AI video editor can cut a long interview down to highlights automatically?
  • Can you recommend a free AI video editor online that runs on a low spec laptop?
  • What AI video editor free plans export without a watermark?
  • What's the quickest way to AI edit video into vertical and horizontal versions at once?
  • How much time does AI video editing actually save on a podcast workflow?
  • Is there an AI video editor online free for cutting short social clips?
  • How good are video editor AI features at generating captions and chapters?
  • Which AI video editing software handles multicam footage well?