Semantic Video Clipper

Overview

Segment a long video into clips by having AI analyze subtitle semantics and identify natural topic boundaries. The lightweight Python script handles parsing, timing calculation, and FFmpeg clipping based on AI-provided segment indices. Output clips and matching subtitles with filenames basename_<index>.* in same directory as the source video.

Workflow

Step 1: AI Analysis

• Read full subtitle content (.vtt or .srt)
• Understand semantic flow and topic transitions
• Identify natural split points that:
  • Align with complete sentence endings
  • Occur at topic shifts (new concepts, examples, recaps)
  • Fit within duration constraints (typically 25-60 seconds)
• Return segment ranges as cue index pairs: [(0, 12), (12, 25), (25, 40), ...]