THE PROBLEM

Your weekly podcast is recorded with two cameras, one on each host. The audio has been cleaned, edited, and finalized. Now you need to build the video cut for YouTube: synced to the final audio, switching between cameras at natural points, and holding on whoever is speaking.

This is the part of podcast production that nobody enjoys. The editorial decisions are straightforward, show the person talking, cut to reactions, occasionally hold on a two-shot. But doing it manually for a 60-minute episode still takes 2 to 3 hours of mechanical switching work.

The audio edit already defines the structure. The camera switching follows predictable patterns. This is assembly work that follows rules, not creative work that requires taste.

WITHOUT WIDEFRAME

2–3 hours of multi-cam sync and switching

WITH WIDEFRAME

Synced video sequence assembled automatically
80% TIME SAVED

HOW YOU SOLVE IT WITH WIDEFRAME

01
Import cameras and final audio
Bring in your multi-camera footage and the final edited audio track. Wideframe syncs the video sources to your audio timeline.

02
Let the agent build the multi-cam sequence
Wideframe's agent identifies who is speaking, places camera switches at natural transition points, and assembles the full video sequence matched to your final audio.

03
Review and adjust switches
Scan through the assembled sequence. Override any camera switches that don't feel right, add reaction shots where they'd land well, and export for YouTube.

Assemble your podcast video cut

Wideframe gives you an AI agent that handles the mechanical work of video editing so you can focus on the creative decisions. 7-day free trial.

REQUIRES APPLE SILICON

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