AI Video Editing Pipeline
End-to-end agentic pipeline for producing edited, motion-graphic-enhanced video from a raw recording using Claude Code as orchestrator.
Standard stages
1. Raw recording (webcam, screen capture) or HeyGen avatar video input
2. video-use — transcript generation (Whisper or ElevenLabs API) + filler word / silence / retake removal → edited MP4 + word-level timestamp JSON
3. HyperFrames or Remotion — HTML/CSS motion graphics animated to word-level timestamps (animated subtitles, info cards, lower thirds, intro sequences)
4. FFmpeg — final render to MP4
Claude Code orchestrates all steps — writing the HyperFrames HTML compositions, calling video-use, invoking FFmpeg, and iterating on design feedback. [src-012]
Key points
- Each iteration improves Claude Code's skills and design philosophy docs for that video type, converging toward drop-in-and-render automation over time [src-012]
- Token consumption: ~125K–260K tokens per video editing session [src-012]
- Claude Design (web app) can also produce animated video by exporting a site as standalone HTML, then instructing Claude Code to render to MP4 — but cannot natively transcribe audio [src-012]
- Word-level timestamps are the critical data dependency: without them, motion graphics fire at wrong moments and feel mechanical [src-012]
Related entities
- Hyperframes — preferred motion graphics engine
- Video Use — editing and transcription library
- Remotion — alternative motion graphics engine
- Whisper — transcription backend
- Claude Code — orchestrator
Related concepts
- AI Avatar Content Pipeline — replaces the recording step with HeyGen avatar generation
- Word Level Timestamp Sync — the technical mechanism enabling natural motion graphics
- Agentic Workflows — video editing as an end-to-end agentic workflow
Source references
- [src-012] Nate Herk — Video editing & content creation cluster (2026-04-15 to 2026-04-23)
Keep reading from this thread
From 500 indexed pages and articles.
- Wiki concept video-use Open-source Python library for AI-powered video editing. Handles the transcript generation and editing phase (filler word removal, silence cutting, retake detection) using word-level timestamps, then Related by 012
- Wiki concept Word-Level Timestamp Sync Technique in AI video editing where transcription (Whisper or ElevenLabs) produces millisecond-precision timestamps per spoken word, used to trigger motion graphic animations at Related by 012
- Wiki concept AI Avatar Content Pipeline Automated pipeline replacing human recording with AI avatar generation — turning a script into a finished video overnight without the creator appearing Related by 012