Create Video from Audio AI

What AI generated video from audio still needs from you

This workflow does not invent a usable plate. Front-facing, well-lit stills with eyes visible outperform three-quarter crops. Audio should be mono or stereo WAV/MP3 without stacked beds fighting each other — isolate VO when you want mouth sync. Scene prompts should describe wardrobe and room already visible in the still; asking for a new location usually fights identity lock. After export, check lips on a large monitor once with sound on — use the example players with audio unmuted when you judge mouth sync.

Cost control tips for longer tracks

Split long podcasts into intro, chapter openers, and CTA tags instead of one marathon upload. Reuse the same still across short clips when wardrobe does not change. Prefer speech segments under a minute for first tests so you learn framing before burning duration-based spend. If you only need a slideshow under BGM, jump to the free photo tool instead of forcing audio-driven motion.

QA checklist before you publish

Watch once with headphones for mouth lag on plosives. Confirm the still identity matches across the full clip — wardrobe flicker means re-crop or a quieter prompt. Check that background props do not melt when the subject turns. Export a silent reference frame from the middle of the clip to compare against the upload still; if identity drifted, fix the plate before spending another create video from audio AI credit on a longer take.

Presets vs custom prompts

Start with Podcast VO or Music bed presets when you are learning framing. Switch to a custom prompt only after the still identity holds — custom text is where people accidentally invent new outfits. Keep wardrobe, age, and room language identical to the plate. If the preset already matches your audio energy, do not stack contradictory camera verbs on top — the track reads better when the scene brief stays short.