Jumper
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TL;DR
Jumper is a local, AI-powered video-search tool for editors who want to find footage, phrases, and similar clips inside NLEs without tagging.
Pricing
Details
What is Jumper?
Jumper targets video editors who spend more time hunting than cutting. By making raw footage searchable by spoken words and visual similarity, it removes much of the tagging burden traditionally required for fast retrieval. The offline focus is a clear differentiator for confidential or on-location projects, while NLE compatibility helps it slot into existing post workflows rather than requiring a toolchain change.
Key Features
- AI-powered footage search without tags.
- Offline local processing.
- NLE integrations: Premiere Pro, Final Cut Pro, DaVinci Resolve, Avid.
- Find Similar clip matching.
- Match Source Monitor for frame-based search.
- Multicam and synced clip support.
Who is it for?
- Documentary and commercial editors
- Post teams with large unorganized footage libraries
- Editors working offline or on sensitive content
Who is it NOT for?
- Editors with tight budgets and small short-form projects
- Teams standardized on cloud-based MAM workflows
The Bottom Line
Jumper is a solid search-layer addition for high-volume editors, but test it against your actual footage library before buying.
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