14 articles
Systems for efficient, story-driven editorial production.
AI is not replacing editors — it is eliminating the part of the job that was never really editing. Here is how AI story editors are changing the interview-based production workflow.
Story producers are handing editors AI-generated paper edits full of quotes that don't exist. Here's why language generation is the wrong tool for editorial workflows — and what a better approach looks like.
AutoEdit automates repetitive timeline tasks — silence removal, filler words, multicam sync. But if your bottleneck is finding the story inside hours of interviews, a different kind of AI tool solves the earlier problem.
Text-based video editing turns spoken dialogue into searchable text, letting editors navigate, review, and structure stories before touching the timeline. Here's how it works and when to use it.
The biggest difference between a rough cut and a fine cut isn't how the timeline looks. It's what questions the editor is still trying to answer. Understanding this distinction changes the way professional editors approach every stage of post-production.
Professional editors don't become faster by clicking quicker. They become faster by stopping the timeline from solving problems it was never designed to solve. Here's why discovery belongs outside the timeline.
AI story editors accelerate story discovery, not decision-making. Here is what AI can actually do with interview transcripts today, and where human editorial judgment remains irreplaceable.
Premiere Text-Based Editing and AI story editors seem similar but solve two different problems: retrieval vs story discovery. Here is how they differ and why workflows benefit from both.
Highlighting transcripts and creating a paper edit are related but different. One collects information; the other organizes it into a narrative. Here's the difference.
Reducing 20 hours of interview footage to a 10-minute film isn't about compression. It's about discovery—finding which 10 minutes deserve to exist.
The strongest documentaries aren't built by experimenting inside a timeline. They emerge from editorial thinking that happens long before the first clip is cut.
The hardest part of documentary editing isn't cutting footage. It's understanding the material. Finding the story often takes longer than building the timeline.
The hardest part of documentary editing isn't learning the software. It's discovering the story hidden inside hours of interviews before the timeline begins.
Transcript-based editing and traditional editing aren't competing philosophies. They're complementary stages of the same editorial process. Here's how they differ.
See how Supacut generates a structured Premiere Pro sequence from your interviews.