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AI in Post-Production: Efficiency vs. Artistry

The AI tools changing how we colour grade, clean audio and design sound — and where they should stop.

6 min read

Post-production absorbed AI faster than any other part of the pipeline, because most of post is repetitive work that nobody enjoys.

Where AI genuinely wins

Transcription and text-based editing, dialogue isolation, noise and reverb removal, rotoscoping, object removal, upscaling old footage and shot matching across cameras.

These are hours of manual labour reduced to minutes, with no creative cost.

Where it should be supervised

Auto-grading and auto-music selection produce competent, generic results. Competent and generic is exactly what a paying client can already get elsewhere.

A practical hybrid workflow

Let AI do the cleanup pass, then make every taste decision manually: pacing, colour intention, music choice, sound design accents.

Keep a version of the project before any AI pass, so a bad automated decision is always reversible.

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