VideoSeal
A watermark for video and images that survives re-encoding and cropping. The detector errs in both directions: a missing mark does not prove a forgery, and finding one is a reason for a human to check.
- Developer
- Meta, USA
- First release
- Dec 2024
- Latest release
- Dec 2025
- Sizes
- a mark of 96 to 1024 bits
- License
- Commercial use allowedMIT
- Running
- On your own serverNeeds a GPU
- Industries
- Media and production, Security, Marketing and content, Legal
What it does
- Marking video created or processed by AI
- Finding your own mark in re-uploaded clips
- Protecting ad materials from being reused as someone else's
- Tracing leaks of video material
Where it is used
Hardware requirements
Versions
- ChunkySeal (1024 бита)
- PixelSeal (256 бит)
- VideoSeal 1.0 (256 бит)
- VideoSeal 0.0 (96 бит)
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.
Frequently asked questions
Can VideoSeal be used in a commercial project?
Yes. License: MIT. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does VideoSeal need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does VideoSeal support Russian?
Language does not matter for this model: it does not work with text.
Where can I download VideoSeal and what does it cost?
The VideoSeal weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
An imperceptible mark in synthetic speech plus a fast detector that finds it even inside a fragment of a long recording. The detector errs in both directions: a hit is a reason for a human to check, not proof.
DetailsDeepfake detectionWatermark Anything (WAM)Meta · USACommercial use allowedAn image watermark that can be applied to individual regions: the model shows which part of the image is marked. It errs in both directions - a human reviews the result.
DetailsDeepfake detectionTrustMarkAdobe Research and University of Surrey · USACommercial use allowedAn image watermark for arbitrary resolutions built for the Content Authenticity Initiative: it can both apply a mark and remove one. The detector errs in both directions - a human reviews the output.
DetailsSource: github.com/facebookresearch/videoseal. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


