Turn raw performance footage into a music video worth finishing.
TOOLIT starts every new music-video project in 16:9 landscape, uses the finished song as the master clock, and builds an editable first cut from the strongest performance, story, and B-roll footage.
Recent projects
Reopen completed uploads, saved editor drafts, and failed analyses from any device signed into the same account without uploading the stored sources again.
AI proposes. Your constraints stay in the cut.
Source guidance, clip priorities, locks, trims, platform formats, and planned brand direction remain visible from upload through export.
Add footage in batches. Transient failures retry by themselves, verified chunks stay saved, and completed projects reopen across your signed-in devices.
The finished song becomes master audio. TOOLIT maps matching camera guide tracks onto its timecode, reports visible mouth/lyric verification separately, then uses the beat grid to pace cuts while rotating the strongest performance, story, and B-roll coverage.
Review top shots, mark Must use, Prefer, Avoid, or Exclude, then reorder, trim, swap, lock, choose the aspect ratio, save, and render that revision.
One intake for the footage your team actually shoots.
Keep measured, compatible performance takes aligned to the finished song while independently pacing performance, narrative, and B-roll cuts on its beat grid.
Surface reactions, reveals, conflict, humor, and clean story beats without pretending analysis is finished before it runs.
Find one coherent, high-impact moment, keep the thought intact, reframe it for the platform, and burn readable captions into the finished clip.
Build a clear hook → problem → product → proof → action story, with product focus, must-use footage, brand colors, and CTA direction carried into the cut.