Can AI edit a multicam interview or video podcast automatically?

Yes. AI can sync recordings from multiple cameras, identify the active speaker, choose between available angles, and assemble an initial multicam edit of an interview or video podcast. The result should remain editable so a human editor can refine every camera switch.

A typical multicam workflow begins by finding the recording with the clearest continuous audio and using it as the timing reference. The other camera recordings are aligned to that reference and placed on separate layers. The system can then follow the conversation and switch angles based on who is speaking.

The same editing pass may also:

• remove long silences, filler words, false starts, and repeated answers;

• choose close-ups, wide shots, or reaction shots;

• find supporting B-roll for topics mentioned in the conversation;

• improve dialogue clarity and balance speaker levels;

• create shorter versions for social platforms.

The invideo agent for editing can sync and switch multicam footage, using the camera with the best audio as an anchor and matching the remaining angles as editable timeline layers. Editors can then change the selected angles, restore pauses, adjust timing, or revise the structure manually.

Automatic switching is a first pass, not a substitute for judgment. The active speaker is not always the best shot. A listener’s reaction, a wider two-shot, or a deliberate pause may tell the story better. Overly frequent switches can also make a thoughtful conversation feel restless.

AI is most useful for completing the assembly work and time-consuming sync. The editor should still review pacing, reactions, continuity, and the emotional reason for each cut.