Glossary · Making it with AI
Video quality control
Video quality control is a careful check of a finished video against what it is meant to be, covering both the technical details and the content, before it is published.
Why it matters
Mistakes that reach viewers are costly: a wrong date, a warped face, a caption hidden under a button. Quality control is the last chance to catch them while they are still cheap to fix.
Technical checks cover the basics: the right frame shape and size, clear sound at a steady level, no blank or frozen frames, and a running time that fits. Content checks ask whether the video tells the story it should, with names, dates and on-screen text correct and readable.
AI-made footage adds its own list: hands and faces that warp, people who change between scenes, lettering that turns to nonsense, and objects that move in ways nothing real could. A written checklist that names these makes reviews faster and more consistent.
Rights are part of quality too. Music, archive clips, logos and likenesses each raise questions about permission, and a careful check settles them before publishing rather than after a complaint.
In the final check of a short about the collapse of a bridge under construction, a reviewer spots that the year on screen reads 1904 in one scene and 1907 in another. The research behind the script gives 1907, and the wrong label is fixed before the video goes out.
How we use it
Each script gets a rights review before anything is published, and a person approves the finished video.
Last reviewed 15 October 2026.