Add invisible protection before you post your work.

Big image-scraping pipelines use AI vision models to sort and filter what they collect, and they routinely discard anything that looks like a stock watermark. Cloak turns that habit against them: it reads your image the way a scraper's model would, then adds faint, carefully-shaped layers of noise that steer the model's reading toward the label "watermark" without changing how the image looks to humans. When a pipeline scores your image as watermarked, its usual response is to filter it out, so your work is less likely to end up in a training set. If you would like to apply custom labels (like "blood" or "blurry"), check out the Cloak app on GitHub.

Yes. Cloak is 100% free. No ads or data collection, either. This is a passion project. In return, there are a few limits in place. The maximum file size is 30 megabytes. The maximum image length is 10,000 pixels. The maximum processing passes is 300 steps. The maximum requests is 60 images per hour. There rules keep the service available to everyone. If you want a limit-less tool, check out the offline Cloak app on GitHub.

Cloak fulfills a unique niche that other solutions do not. For example, Glaze assumes that your image will be trained upon, which is uncomfortable to artists. Meanwhile, Nightshade requires protected images to represent a big portion of the training dataset, which is not guaranteeed. That being said, the best practice would be to use Cloak, Glaze, AND Nightshade to maximize protection.

Obtaining copyright allows you to legally control who uses your art. Adding important metadata, IPTC data, and C2PA credentials to your images also lowers its chances of being used to train AI. Some social media websites like Cara have special robots.txt policies that warn bot scrapers not to download images. Beyond Cloak, there are also other free anti-AI noise tools like Glaze, Nightshade, and Artshield.io available online. You can even apply visible watermarks to your art. Having more layers of protection increases the chances of keeping your art safe.

Your images are discarded after you receive the result. Frankly, a gallery of uploads would be tedious and expensive to maintain. Cloak also strips away important embedded metadata from your images, such as location and camera info. If you are still worried about privacy concerns, you can also download the Cloak app from GitHub.

The Cloak app, and all of its readable code, is fully available on Github. The Cloak app does not require an internet connection to work, so you can be confident that there is no data collection. The Cloak app also allows you to apply custom labels like "blood" or "blurry", so you can protect your images in more ways. The Cloak app also calculates a cosine similarity score that quantifies the strength of your image's protection for your convenience. Currently, the Cloak app is only available for Windows computers.

Cloak is designed against mass scrapers who use automated tools to process the countless images they collect. Applying protection raises the odds that your image is filtered out of large training datasets. Importantly, Cloak does not leave a visible stamp across your art at normal strength.

Cloak cannot remove or protect images that have already been accepted into a training dataset. Cloak cannot guarantee that every model and pipeline will fall for the noise signal. Protection can weaken over time since models change over time. Cloak is also not a substitute for a true watermark, copyright, or legal protection.

Cloak should only take a few seconds to a minute. The queue may be very busy, or your image may be too large. The first image takes extra time because Cloak uses an autoscaling GPU. The page will update when the process is over, so feel free to keep it open in the background. You can also download the Cloak app from Github for a queue-free experience.

Yes. Results are not tied to an account, so images are lost once the page is closed. Please save protected images before closing the tab.