StreamZilla

StreamZilla AI training and your videos

AI training and your videos: what you need to know

Faces, voices, places and knowledge. Once they are in a model, they stay there.

AI models are trained on enormous amounts of text, images, audio and video, much of it collected from the internet. Videos are especially valuable for that: they show real people, real voices and real places, in motion.

For organisations that publish video, that raises questions. Who may use your videos to train AI? What happens to the people who appear in them? And what can you do about it? This guide explains it in plain language.

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Free during the beta. For organisations. Nothing to pay.

Frequently asked questions

Can AI companies legally train on my public videos?

It depends on the content and on the rules that apply. Personal data in your videos is protected by the GDPR, the AI Act forbids untargeted scraping of facial images for recognition databases, and you can reserve your copyright with a machine-readable signal. This is general information, not legal advice.

Does a do-not-train signal work?

It is the machine-readable way European copyright law recognises to reserve your rights, and providers of general-purpose AI models must have a policy to respect it. Combined with access restrictions, it gives you real control.

What about AI subtitles?

Check where they are made. If an external AI service processes your audio, its terms apply. StreamZilla makes subtitles and transcripts on its own European infrastructure.

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Try Europe’s video platform.

StreamZilla is the all-in-one video platform from the team that put the first live stream on the web, with 32 years of experience. It is in private beta, and joining is free: you get early access, a direct line to the people who build it, and a say in what comes next.

Join the free private beta

Free during the beta. For organisations. Nothing to pay.