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?
Yes — Kling artifacts are exactly what the AI oracle gates are built for. 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. Deterministic 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.