How do you extract audio from an AI-generated talking head video to use as voiceover?

Generate the talking head with a face reference so the voice stays consistent, then detach the audio from the video in your editor — DaVinci Resolve handles this natively — normalize levels across clips, and lay the stripped track under your B-roll as voiceover. Documented AI productions use this exact pipeline: the face anchors the voice, the editor separates them.

Start one step before extraction: generate the talking head clip with a face reference image attached, because Seedance 2.0 anchors vocal characteristics to a recognized face — the same character delivers a noticeably more consistent voice across generations than a disembodied voiceover prompt. Inside invideo, ask the invideo agent to attach your character's face sheet to the generation; it routes the request to Seedance 2.0 with the reference in place. When you write the dialogue prompt, give the line and emotional context but omit second-by-second timestamps — timestamped prompts cause the model to hallucinate whispered filler to pad dead time, which ruins the track for voiceover use. Keep dialogue clips to 10–12 seconds within the 15-second generation limit, and split longer voiceover passages across consecutive clips; single-line clips also give you far more editorial control when you assemble the voiceover later. One documented production generated multiple voice samples per character and selected from the options before committing — treat that as your casting step.

Once you have the clip, extraction is an editor operation. Import the talking head video into DaVinci Resolve (or your NLE of choice), detach or unlink the audio from the video on the timeline, and delete the video portion — a documented episodic AI production used DaVinci Resolve for exactly this: pulling audio out of talking head videos during final trailer assembly. If you're working outside an NLE, a dedicated video-to-audio demux tool does the same job on a raw MP4.

Before you reuse the track, level-match and clean it. Every Seedance 2.0 generation is a separate render, so two clips of the same character can sit at slightly different loudness and tone — normalize levels across all extracted clips so the stitched voiceover reads as one continuous performance. Seedance 2.0's native audio is generally clean enough to work with directly: in one documented short film, the creator added only a single manual sound effect, with everything else generated natively.

Then lay the extracted audio under your B-roll as a standard voiceover track. This is the payoff of the whole method: the talking head clip exists only to lock the voice to a face, and once the audio is stripped it becomes an audio-only overlay — your voice consistency is now decoupled from whatever visuals you cut over it.

If the voice still drifts across many clips or across episodes, there's a fallback pipeline: replace the video-model voices entirely with a dedicated voice AI using a persistent voice profile, then redub and resync in the editor while deleting the original audio. That's the documented approach for episode-to-episode voice continuity in serialized AI productions.

Watch some of these to see what works for you:

It's always better from my experience to put a face so that C Dance will recognize that face and try to match it as close as possible to something similar as far as voices goes.

— an AI filmmaker documenting a serialized episodic production