AI video and thumbnails for YouTube — pass the synthetic-content disclosure.

YouTube's synthetic-content policy centers on realistic alterations — content that could mislead a viewer about real events or people. The platform reads provenance metadata, checks for model watermarks like SynthID on Google-model output, and runs classifiers on both the video stream and the thumbnail.

SynthID is the hardest of these because it's embedded in the pixels and survives compression and cropping. SynthGuard's SynthID disruption layer attacks the watermark's synchronization signal so detection collapses, while the image stays visually identical.

For the video itself, the video humanizer applies the FFT, PRNU, and texture layers per frame and strips identifying container metadata, so the upload doesn't carry generator provenance. Use the Social profile — short-form and long-form viewers watch closely, so preserving visible quality matters.

Thumbnails are scored separately and often get more scrutiny than the video, because they're static and easy to classify. Humanize the thumbnail through the image humanizer before uploading it in Studio.

Everything runs in your browser. Nothing about your generation history is logged by a third party during the humanization step.