clipper

What problem does it solve?

Analyze video transcriptions to identify clip-worthy moments, enabling automated clipping workflows and narrative-aware highlights.

Core Features & Use Cases

• Narrative-aware signal detection to identify high-energy reactions, tips, teaching moments, and other valuable moments in transcripts.
• Narrative validation against story templates (ARGUMENT, TUTORIAL, DISCOVERY, COMPARISON, PROBLEM-SOLUTION) to ensure clips form complete stories.
• Output segments.json with precise timestamps, suggested titles, and context; generate validation_report.json for gaps and orphan-beat issues.
• Auto-create topic-based compilations and coordinate extraction with the provided extraction scripts.

Quick Start

Use the transcription to automatically detect clips and run the end-to-end pipeline: parse the transcription, analyze segments, validate narratives, merge results into segments.json, and prepare clips for extraction.