Q&A · Getting Started
Quick answer
Sometimes, but not reliably in every case. Detection works through three routes: invisible watermarks embedded at generation time (like Google’s SynthID), provenance metadata standards (C2PA), and statistical detectors that analyze the content itself. Watermark-based detection is dependable when present; standalone detectors produce both false positives and false negatives. Several platforms also label AI content automatically on upload.
The most robust detection is cooperative: when the generating model embeds a signal on purpose, dedicated tools can verify it even after compression and resizing. Content without embedded signals is much harder to classify confidently.
Social platforms increasingly read provenance metadata and label AI-generated media, and disclosure requirements are expanding in advertising and political content in various jurisdictions.
The practical guidance for creators: assume AI content may be identifiable, disclose where your platform or industry requires it, and treat transparency as the durable strategy.
VdoBloom starts you with 10 free credits — enough to put this into practice with no card required.
Open Text to Video