Traditional DMCA tools miss stolen content that has been edited or renamed. StreamerSuite’s face-based DMCA scanning uses facial recognition to find reuploads of your content across adult sites, even if the video is cropped, trimmed, or watermarked differently. You upload reference images, we scan 24/7, and you get notified when a match is found. It is private, accurate, and gives you control over where your face appears. This tool helps creators take back ownership and stop content theft faster and more effectively.
When we started StreamerSuite, our mission was clear: give adult creators the tools they actually need to protect their content and grow their brand. One issue kept coming up again and again is stolen videos, fake profiles, and impersonation accounts showing up across the web. For creators who rely on platforms like Chaturbate, this kind of theft is more than just frustrating. It damages your reputation, drains your income, and undermines all the work you put into building your audience.
We took a long look at what was already available. Most DMCA services rely on text-based scanning, filename detection, or manual searching. While helpful in some cases, these methods often miss stolen clips that have been edited, renamed, or watermarked differently. They fail to detect content when it is slightly changed, even though it is clearly stolen. We realized there had to be a better way to identify this kind of content at scale.
That led us to face-based scanning.
Imagine someone downloads your video, cuts out the intro, adds a different watermark, and re-uploads it to a tube site. The filename is different, the title has changed, and maybe they even trimmed out your watermark. Most basic takedown bots will never catch that. They are not looking for your identity. They are looking for exact matches or keyword triggers. That means stolen content can easily slip through without being flagged.
Many creators do not even know their content has been reposted until a fan sends them the link. By that point, it may have already been copied, downloaded, and spread to dozens of other sites.
Our approach is different. Instead of looking for metadata or filenames, we look for the one thing that cannot be faked: your face.
Here is how it works:
We understand how sensitive facial recognition is, especially in this industry. That is why all data is encrypted and handled with strict privacy protections. You are in control of what is submitted, what is scanned, and how matches are handled. Nothing is shared without your consent.
Unlike filename scanning or keyword-based searches, facial detection does not rely on surface-level data. Even if a video is cropped, edited, or rebranded, we can still identify it. Your face is your fingerprint. You do not need to rely on a watermark, title, or file name to prove ownership.
This makes the system especially effective for creators who have had videos edited or repackaged before being reposted. Many creators do not use heavy watermarks or might use different usernames across platforms. Facial scanning bridges those gaps.
Since launching this system, we have found videos that had been online for weeks or even months without being detected by other tools. In many cases, those videos had already reached thousands of views. Our system has helped creators get faster removals, find content they never knew was online, and regain control over their identity.
Content theft is a constant threat in adult entertainment, but that does not mean you have to fight it alone. Face-based scanning gives creators a smarter way to detect stolen content before it spreads. It focuses on what matters most - your identity and your control over your image.
At StreamerSuite, we believe in giving creators tools that actually work. If you are ready to take content protection seriously, face-based scanning is the next step forward.
Your content is yours. Let us help you keep it that way.