AI Video Search for
Documentary Filmmakers

Mountains of archive and interviews. Find the story in minutes or seconds, not days.

From archive chaos to
clear narrative

Documentary editing has unique challenges: massive interview logs, scattered archive, recurring subjects, and often sensitive material. Jumper is designed around these realities so you spend less time hunting and more time crafting the story.

Mine interviews without the grind

You remember a subject said something about hope or conflict or a specific moment, but scrubbing through 40 hours of interviews kills the workflow. Search by topic, emotion, or exact phrase. Find the quote that makes your point in seconds instead of days.

Archive footage that actually works

B-roll piles up across drives with no time to tag or organize. Describing what you need ("crowd reaction", "factory interior", "sunrise over water") usually means folder diving or guessing. Jumper returns results in seconds. No tags, no bins, no reorganization.

Track subjects across the film

Recurring characters drive the narrative, but finding every appearance across hundreds of hours is manual torture. Face recognition surfaces every shot of a subject in one search. Cut their arc without hunting through reels.

Protect sensitive material

Unreleased footage, whistleblowers, NDA content. Cloud tools mean uploads and trust issues. Jumper runs entirely on your machine. Nothing goes to the cloud, so you can search without risk.

The future is here.
Are you coming?