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Guide

AI video editing: what can be automated and what still needs review

A practical guide to designing an AI-assisted video workflow without confusing speed, quality and control.

Updated 24 July 2026

What is AI video editing?

AI video editing uses models and rules to assist tasks such as shot selection, transcription, captions, reframing and assembly. It does not automatically supply editorial intent: a person still needs to check meaning, rights, transcription errors, pacing, brand identity, accessibility and the final output before anything is approved or published.

Example AI-assisted workflow

Example AI-assisted workflow
StagePossible AI roleHuman reviewSources
IngestionIndex files and prepare mediaRights, consent and sensitive data
AnalysisDetect speech, scenes, silence or shot changesContext, relevance, bias and false positives[1]
Rough cutSuggest a structure, cuts or variantsIntent, continuity and editorial tone
CaptionsGenerate a transcript and timecodesNames, punctuation, accessibility and synchronisation[3]
ExportAdapt a master to several formatsQuality, framing, music rights and destination

Which criteria should be compared?

  • The video types actually supported: interviews, tutorials, campaigns, podcasts or short-form content.
  • The ability to correct every suggestion and preserve a reusable source version.
  • The handling of rights, personal data, retention and subprocessors.[1]
  • Measured quality on your footage, languages, brand system and channels — not only a polished demo.

Why retain human review?

A fluent output can still be factually wrong, remove a sentence from its context or crop the wrong subject. Human review should cover substance, rights, accessibility and brand compliance, with a clearly assigned person responsible for final approval.[2][1]

Frequently asked questions

Is AI video editing fully automatic?

Some processing can be automated, but human review remains necessary for meaning, rights, accessibility, brand compliance and final quality.

How should an AI video editor be tested?

Use a representative set of videos, define criteria before testing, measure the corrections required, and review both the contract and the data-processing terms.

Can AI captions be published without review?

AI can create an initial transcript and timecodes. Names, punctuation, timing, meaning and accessibility requirements still need to be checked.

Primary sources

  1. Intelligence artificielleCNIL
  2. Cadre réglementaire européen pour l’intelligence artificielleCommission européenne
  3. WebVTT: The Web Video Text Tracks FormatW3C