Product focus
Give filmmakers a faster way to find the story inside long interviews, vows, speeches, ceremonies, documentary footage, and other A-roll-heavy projects.
Next.js app
Arcloom turns A-roll audio and transcripts into structured story material for editors: speaker identification, standout moments, beat-labeled scripts, editor notes, timecodes, and NLE-friendly exports.
Visit Arcloom
Give filmmakers a faster way to find the story inside long interviews, vows, speeches, ceremonies, documentary footage, and other A-roll-heavy projects.
The public site positions Arcloom around a simple promise: upload a transcript, find the story hiding in the words, and export a clean timeline-ready structure.
The app guides editors through upload, transcript review, speaker labeling, moment detection, theme mapping, script generation, and story assembly.
Behind the interface, Arcloom analyzes transcript material, identifies speakers and emotional peaks, assigns beat labels, adds timecodes and editor notes, and prepares FCPXML or EDL exports for the NLE.