CASE STUDY / CARLOS NAVARRO
Editor de Video IA
A local, instruction-driven editing engine that builds an EDL and renders video with FFmpeg and Remotion graphics.
Challenge
Editing a video from multiple clips, voice, music, subtitles, and animated graphics involves repetitive manual steps.
Solution
A local workflow that inventories media, transcribes speech, builds and validates an edit decision list, and renders the result from instructions.
Technical stack
Python, FFmpeg, faster-whisper, Remotion, and JSON-based edit decision lists.
Current state
Local project in development, with test media and installation instructions for a new computer.