UploadCheck for Seedance
Your Seedance generation, checked before your audience checks it.
Seedance renders slick motion, but the flaws hide between frames: subjects that morph mid-shot, a face that flickers frame-to-frame, motion that warps as the camera pushes in, a duplicated character in the crowd, or audio that drifts off the lips. UploadCheck watches and listens to your export before you post, catches those generation artifacts, and tells your AI exactly what to re-roll.
- Morphing / warping
- Temporal flicker
- Cloned / duplicate subjects
- Lip-sync & audio desync
- Loop seams / frozen frames
- Framing / canvas fill
FAQ
UploadCheck & Seedance
How does UploadCheck work with Seedance?
You generate and export your generation in Seedance as usual, then run the finished file through UploadCheck — from the web, the CLI, or your AI assistant. UploadCheck scans it for problems Seedance can't check, returns timestamped flags and fixes, and you re-check until it passes.
What problems does UploadCheck catch on a Seedance generation?
Morphing and warped motion, temporal flicker, frozen/looped frames, cloned or duplicated subjects across a shot, audio that drifts out of sync with the video, off-target loudness, and wrong resolution/codec/frame-rate — each with the exact timestamp and a fix.
Do I need to change my Seedance workflow?
No. UploadCheck is the last step after your Seedance generation — one check before you publish. It doesn't touch your Seedance project; it inspects the finished file and hands you (or your AI) a repair list.
Does UploadCheck catch AI generation artifacts from Seedance?
UploadCheck doesn't fingerprint whether a clip came from Seedance — it inspects the pixels and audio for the failure modes AI video produces. Deterministic gates catch frozen/looped frames (loop_freeze), audio desync (av_sync), letterboxing and bad framing (canvas_fill), and spec/loudness issues; the paid AI oracle gates go further — twins flags a subject that got cloned or morphed across the scene, and the omni_watch and gemini_watch multimodal watchers see-and-hear the clip to surface the "something looks wrong here" moments (warping, flicker, extra fingers) that no codec-level check can measure.
How much time does it save?
Instead of re-watching a clip to hunt for the one bad moment — or worse, finding it after you've published — UploadCheck flags it in one pass with the exact timestamp. Catching one bad generation before publish saves the re-generate/re-export, re-upload, and the reputational hit of a broken clip going live.