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Eddie AI has released Version 3 of its editing software, introducing Night Shift, an overnight processing mode that organizes footage, logs clips, and generates a rough cut by morning. The update also expands multicam support, improves import reliability across major NLEs, and adds a text-based workflow that lets users submit footage remotely and receive an edit the next day. Let’s take a closer look at this new release.
We’ve looked at Eddie’s development a couple of times recently, including its B-roll placement for A-roll rough cuts and the addition of multi-track audio support for Adobe Premiere Pro and DaVinci Resolve projects. Those updates pointed toward a system that is gradually taking on more of the early editorial process, particularly around assembly and organization. With v3, that idea moves further toward greater autonomy, shifting part of the workflow outside active editing time.
The main addition in v3 is Night Shift, a mode within the Eddie desktop app that processes footage after a shoot day. Users can import a media folder, and the system handles several assistant editor tasks in sequence:
By the next morning, the project is organized and ready to open in Adobe Premiere Pro, DaVinci Resolve, or Final Cut Pro.
There is also a remote workflow option. Users can text a link to footage stored in Frame.io, Google Drive, or Dropbox, and Eddie processes it without requiring the media to be downloaded locally. The results, including the edit and logs, are delivered by the next morning.
This approach would make sense for workflows where producers or editors are receiving footage from separate shooters, as well as teams already working with camera-to-cloud setups, including Sony’s camera-to-Google Drive option, where footage is available before anyone sits down to edit.
The B-roll placement feature, previously in beta, is now part of the main workflow. Editors can import interviews alongside B-roll, and Eddie constructs a narrative rough cut from interview material, with clips selected and arranged based on the content.
Once the interview structure is established, the system analyzes available B-roll, selects subclips, and places them over the edit. The output is an assembly timeline combining interview soundbites with selected B-roll, along with fully logged media.
Several smaller updates round out the release:
These are incremental, but they should reduce friction in day-to-day use, especially when moving between systems or working with larger projects.
Eddie v3 continues to focus on the earliest stages of editing, logging, organizing, and assembling. It doesn’t replace editorial decision-making, but it reduces the time spent getting to a workable timeline.
That trade-off is clear. You gain speed in exchange for giving up some control over the first pass. For some workflows, especially fast-turnaround content or teams working at different locations, that’s likely the point.
Eddie AI v3 is available now with both subscription and credit-based pricing options. Please see their website for more information.
The Eddie team will be demonstrating many of their recent updates at NAB 2026, at booth N1672 in the North Hall, including a short session titled AI Agents for Video Editing: The Next Leap in Post-Production Efficiency scheduled for April 19 from 2:10 to 2:30 p.m.
How much time do you currently spend on logging and organizing before editing begins? Would you trust an overnight rough cut as a starting point for your edit? Let us know in the comments below.
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A camera was put in my hands at 16, and I’ve been taking photographs ever since. Before moving to Vienna, I worked as a photographer on film sets, telling stories as they unfolded behind the scenes. Since then, I’ve focused on immersive theater, both as a photographer and an actor. I am the photographer for the award-winning Nesterval ensemble, documenting the energy and atmosphere of their performances. I’m a teller of stories. Stories hold my interest. I’ll take on any project with a story to tell.