Streamline your video workflow with AI-powered semantic search, agentic editing, and real-time collaboration tools for professional editors and creative teams.
Jumper
Locate specific visual moments, spoken phrases, or faces across massive footage libraries instantly with a privacy-first, offline AI search tool for video editors.
Starting at
$49/mo
About Jumper
Jumper is a local machine learning-powered search engine designed specifically for video post-production. Unlike cloud-based asset managers, it indexes footage directly on the user's machine, allowing editors to find visual or spoken content without manual tagging or uploading files to a server. It integrates directly into major non-linear editors including Adobe Premiere Pro, Final Cut Pro, DaVinci Resolve, and Avid Media Composer, aiming to eliminate the hours typically spent scrubbing through rushes and organizing media. The tool utilizes various visual-language models to enable natural language searches; for example, typing "sunset over mountains" will retrieve relevant clips even if the files weren't metadata-tagged. It also features robust speech search supporting over 111 languages and a Match Similar function that finds clips visually comparable to a selected frame or source monitor. For high-end workflows, the Pro version adds facial recognition to track specific people across hours of footage and Agentic Editing capabilities, which allow AI agents like Claude or ChatGPT to interact with the local media library to automate sequence creation. Jumper is built for a wide range of media professionals, from solo content creators and wedding videographers to documentary filmmakers handling hundreds of hours of interviews. It is particularly valuable for reality TV and unscripted productions where finding specific needle-in-a-haystack moments is a daily requirement. Because it works entirely offline and does not use media for AI training, it is also a suitable choice for editors working under strict NDAs or in corporate environments with high data sovereignty requirements. What sets Jumper apart is its focus on local processing and privacy. While many AI tools require high-speed internet and cloud credits, Jumper runs on the user's hardware to ensure that footage never leaves the device. The inclusion of lifetime license options and the ability to share analysis files across a local network via NAS further distinguishes it from subscription-heavy SaaS competitors. Its unique Match Source button specifically solves the NLE-specific problem of finding the best-quality version of a frame already present in the timeline or source monitor.
Jumper pros & cons
Pros
- Supports over 111 languages for dialogue-based search.
- Processes all media locally to ensure 100% data privacy.
- Seamlessly integrates with Premiere Pro, FCP, DaVinci Resolve, and Avid.
- Available as a one-time lifetime purchase for long-term cost savings.
- Fast search performance capable of scanning 100 hours of footage in 0.2 seconds.
Cons
- Face recognition and Agentic Editing are restricted to the Pro tier.
- Standard lifetime licenses only include one year of software updates.
- Requires specialized hardware like NVIDIA GPU or Apple Silicon for optimal analysis speeds.
- Currently only analyzes audio from the first valid dialogue channel.
Jumper use cases
- Documentary editors can use speech search to find specific quotes across hundreds of hours of interviews without reading transcripts.
- Reality TV producers can utilize face recognition to instantly locate every appearance of a specific cast member in unorganized rushes.
- Content creators can find visually similar B-roll or specific objects using keyword search without manual tagging.
- Corporate editors working with sensitive or NDA-protected footage can utilize AI search tools without uploading files to the cloud.
- Post-production teams can use the Pro tier to share analysis files over a NAS, allowing multiple editors to search the same library.
Jumper features
- face recognition
- watch folders
- match similar clips
- agentic editing support
- local/offline processing
- nle plugin integration
- speech-to-text search
- visual keyword search
Jumper pricing
Is Jumper free? No, Jumper doesn't offer a free plan; pricing starts at $49 / month.
Jumper Pro Monthly
$49 / month
- Everything in Jumper Standard
- Share analysis files between devices
- Swarm analysis
- Access to all AI models
- Facial recognition
- People search
- Agentic Editing
Jumper Standard
$169 / one-time
- Jumper Desktop Application
- Plugins for Premiere, FCP, Resolve, Avid
- Unlimited analysis of media
- Unlimited visual & speech search
- Search media outside of projects
- 1 year of updates
Jumper Pro Yearly
$399 / year
- Everything in Jumper Standard
- Share analysis files between devices
- Swarm analysis
- Access to all AI models
- Facial recognition
- People search
- Agentic Editing
Jumper Pro Lifetime
$599 / one-time
- Everything in Jumper Standard
- Share analysis files between devices
- Swarm analysis
- Access to all AI models
- Facial recognition
- People search
- Agentic Editing
- 1 year of updates
Jumper FAQs
Does Jumper upload my footage to the cloud?
No, all analysis and indexing are performed locally on your device. Your media never leaves your computer, and Jumper does not use your content to train its AI models.
Which video editing software is compatible with Jumper?
Jumper provides dedicated plugins for Adobe Premiere Pro, Final Cut Pro, DaVinci Resolve, and Avid Media Composer. It also offers a standalone application for managing media outside of these editors.
How fast can Jumper search through my library?
The search is nearly instantaneous, with tests showing it can scan 100 hours of footage in approximately 0.2 seconds. Analysis time varies by hardware, but an M1 Pro MacBook can process roughly 15 minutes of footage per minute.
Can I use Jumper without an internet connection?
Yes, Jumper is designed for offline use. Paid licenses only require an internet connection once per week for verification, while the core analysis and search functions work entirely without a network.
Does the analysis process create large files on my hard drive?
Jumper generates analysis files that are approximately 0.1% the size of the original media files. These files are stored permanently in a cache folder and can be moved or shared between workstations.
Ratings & reviews
No reviews yet. Be the first to share how Jumper worked for you.
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