video-edl — Traditional AI Model
Video EDL validates an edit plan and emits the segments a trim consumes, keeping each cut's authored directives attached all the way to reframing. It separates what a person decided from what a detector measured.
Details
- CategoryTraditional
- Year-1
- License
Inputs & Outputs
- PlanInput · string
The edit plan as JSON text — a versioned document or a bare array of cuts
- ConstraintsInput · string · optional
Optional Video Constraint Map output. Without it no cut is cropped, because cropping on a guess is what this input exists to avoid.
- SegmentsOutput · segments
Segments for Video Trim, each carrying its cut's authored directives
- PlanOutput · string
The normalised plan: numbered and labelled cuts, output timecodes, and why each crop depth was chosen
Tags
Alternatives in Video Editing
- Audio Finish
Normalize a video's loudness to a broadcast target (2-pass loudnorm + peak limiter).
- Hook Teaser (Cold Open)
Prepend a cold-open teaser of each clip's hook moment to the front.
- Narration Mux (Cold Open)
Prepend a voiceover cold-open (frozen first frame + narration) to a clip.
- Remove Dead Zone
Remove silent gaps from each clip in a video list to tighten pacing.
- Slice Transcript to Clips
Slice a whole-video transcript onto each clip.
- Snap Segments to Speech
Snap segment boundaries to speech word boundaries.
- Video Caption
Burn each clip's highlight text onto it as a caption overlay.
- Video Clean Span
Trim each clip to its single dominant continuous shot (remove mid-clip frame jumps).