Synclip.ai - AI talking-head & Sora-style video studio
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Synclip is an AI video studio for talking-head and Sora-style shots. Upload a headshot, script, or audio to get lip-synced avatar videos, or type a text prompt to generate cinematic Sora-style clips at about 5% of the official Sora price, with clean, no-watermark output. Already using Sora elsewhere? Paste in links to your own Sora videos to manage them in one place, re-cut and resize them, and combine everything with new avatar clips inside Synclip.

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We’ve been rebuilding Synclip around a simple idea: a visual reference should be more than something you upload to a generator.
You should be able to explore it, understand why it works, combine it with other references, and create from that understanding.
Synclip now connects that whole path:
— discover similar visuals
— analyze composition, color, mood, and visual language
— assign clear roles to multiple references
— move directly from discovery into creation
— iterate on the result in one workspace
We also made a short launch film around this idea: from one image to a world of possibilities.
Would love to hear where this workflow feels useful — and where it still gets in your way.
Looks impressive! Passing to our marketing team :) Good luck!
@lev_kerzhner Thanks for taking a look and sharing it with your marketing team, really appreciate it!
Update: New LipSync+ with Natural Body Motion
We’ve just rolled out LipSync+ — an upgraded mode that not only syncs lips to your audio, but also adds natural upper-body movement so the whole shot feels more alive and less “static head talking”.
LipSync+ is powered by a diffusion model, which means:
Results can vary slightly from run to run
It may take a bit longer to generate than the standard lipsync mode
That’s expected behavior, not a bug — and it’s also what allows for more organic, less repetitive motion.
You can try it in the LipSync Starter page – under Motion, choose Body.
We’d love for you to try it on your favorite portraits and see how it feels in your own workflows. Any feedback or examples are very welcome in the comments.