FAQ
UploadCheck & Kling AI
How does UploadCheck work with Kling AI?
You generate and export your generation in Kling AI as usual, then run the finished file through UploadCheck — from the web, the CLI, or your AI assistant. UploadCheck scans it for problems Kling AI can't check, returns timestamped flags and fixes, and you re-check until it passes.
What problems does UploadCheck catch on a Kling AI 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 Kling AI workflow?
No. UploadCheck is the last step after your Kling AI generation — one check before you publish. It doesn't touch your Kling AI project; it inspects the finished file and hands you (or your AI) a repair list.
Does UploadCheck catch AI generation artifacts from Kling AI?
The AI oracle gates are built for exactly these Kling artifacts. The twins gate flags duplicated or morphed subjects across a scene (the classic cloned-face and warping problem on longer generations), av_sync catches lip and audio drift against Kling's native voice track, and loop_freeze catches the frozen seams that appear where an extend stitches. The omni_watch and gemini_watch multimodal gates watch and listen to the whole clip and describe what looks or sounds wrong, then hand your AI a timestamped fix list. Quality gates like loudness, dead_air, black_frames, and canvas_fill run free on every export.
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.