---
title: "Apps | Meta Launches a Tool to Watermark AI-Generated Video"
author: "Unique Research"
sourcePublication: "Unique Research (FFCAP English library)"
originalPublishedAt: "2024-12-14T21:22:37+08:00"
canonical: "https://ffcap.cn/en/research/20241214a07pky00"
source: "https://ffcap.cn/en/research/20241214a07pky00"
language: "en"
cnSourceUrl: "https://view.inews.qq.com/a/20241214A07PKY00"
---

# Apps | Meta Launches a Tool to Watermark AI-Generated Video

_Unique Research · Apps · December 14, 2024_

Deepfakes are everywhere. Generative AI’s commoditization has flooded the web with synthetic fakes: identity platform Sumsub says global deepfake volume grew **4×** from 2023 to 2024, and in 2024 deepfakes accounted for **7%** of all fraud — impersonation, account takeover, and complex social engineering among them.

Meta’s contribution is **Meta Video Seal** — announced Thursday, open-sourced for integration into existing software — which can embed hard-to-notice watermarks in AI-generated video clips. It complements Meta’s other watermark tools: Watermark Anything (re-released today under a more permissive license) and Audio Seal.

“We built Video Seal for more effective video watermarking — especially detecting AI-generated video and protecting originality,” Meta AI research scientist Pierre Fernandez told TechCrunch.

It is not first: DeepMind’s SynthID and Microsoft also watermark video. Fernandez argues many existing methods fall short — weak under the video compression common on social platforms; inefficient at scale; insufficiently open or reproducible; or adapted from image watermarking, which is suboptimal for video.

Beyond watermarks, Video Seal can hide provenance information for later revelation. Meta claims robustness to blur, crop, and popular codecs. Trade-off: visibility vs. tamper resistance; heavy compression and heavy edits can alter or erase the mark.

Adoption is the bigger hurdle — especially for shops already on proprietary stacks. Meta is launching **Meta Omni Seal Bench**, a public leaderboard comparing watermark methods, and will run a watermarking workshop at ICLR.

“We hope more AI researchers and developers bake in some form of watermarking — and to move faster with industry and academia,” Fernandez said.

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Editorial English edition published on UniqueCapital: https://ffcap.cn/en/research/20241214a07pky00
On-site reading page: https://ffcap.cn/en/research/20241214a07pky00