Wideframe Wants to Save Video Editors 10 Hours a Week on Footage Prep

The Macro: Video Editing Has a Dirty Secret Called Pre-Production

Everyone focuses on the creative part of video editing. The cuts, the transitions, the color grading, the storytelling. That is the 25% of the job that editors actually enjoy. The other 75% is searching through hours of raw footage, labeling clips, organizing assets, and building selects before any real editing begins.

An editor working on a documentary might have 200 hours of footage. Finding the three seconds where the interviewee says the perfect thing requires watching, logging, and annotating all of it. A brand video for an agency might have 50 takes of the same shot. Picking the right one means reviewing every version. This is not creative work. This is administrative labor that happens to involve video files.

The existing tools for this are basic. Premiere Pro and DaVinci Resolve have bins and metadata fields, but the search is keyword-based, which means someone has to type the keywords first. Frame.io handles collaboration and review. Simon Data and Descript offer some AI features, but neither solves the core footage organization problem at scale.

The Micro: Running on Your Mac, Integrated With Your Editor

Daniel Pearson and Zachary Kim founded Wideframe. Daniel previously managed over $1 billion in growth budget for clients including Uber, DoorDash, and Dropbox. Zachary is an engineering leader with 20+ years of experience. They are a two-person team from YC Winter 2026 with partner Brad Flora.

The product indexes footage by meaning rather than filenames. You can describe what you are looking for in natural language and Wideframe finds it across your local and cloud storage. It outputs native Adobe Premiere Pro projects, so editors stay in their existing workflow. The analysis runs locally on Mac with Apple Silicon, which matters for privacy and speed.

One agency told them Wideframe would save their editors 10 hours per week. Another organized an entire documentary’s worth of footage in a fraction of the normal time. A 7-day free trial with full access and no usage limits removes the adoption barrier entirely.

The Apple Silicon requirement is a deliberate architectural choice. Running the AI on-device means footage never leaves the editor’s machine. For agencies working with client content under NDA, that privacy guarantee is essential. It also means the tool works without an internet connection, which matters on film sets and in editing suites.

The Verdict

Wideframe is building the right tool for a specific, painful workflow. The 3x ratio of prep time to edit time is something every professional editor recognizes. If Wideframe can cut that ratio significantly, the time savings compound across every project.

The competitive risk comes from Premiere Pro and DaVinci Resolve building AI search natively. Both are investing heavily in AI features. But the NLE vendors are building broad AI capabilities, not deep footage intelligence. Wideframe’s singular focus on pre-production organization gives it a depth advantage.

In 30 days, I want to see trial-to-paid conversion rates. In 60 days, the question is whether agencies are deploying Wideframe across their entire editorial teams or just individual editors. In 90 days, I want to know about footage volume. How much raw footage can Wideframe handle before performance degrades? The answer determines whether it works for feature films and large documentary projects.