Build the first end-to-end content protection platform: watermark, host, share, track, certify, and verify. Accessible to every creator, not just large studios.
Professional content protection has traditionally required multiple enterprise vendors and six-figure budgets. Meanwhile, AI artists, photographers, and individual creators had no defense against content theft and unauthorized AI training use. AIWatermark changes that with a complete pipeline at $19/month.
AI companies have scraped billions of images without permission. Your work may already be in their datasets, used to generate competing content. You deserve protection.
Instagram, Twitter, Facebook strip all EXIF/metadata from uploads. Traditional metadata-only watermarks are destroyed instantly. You need frequency-domain watermarking (DCT/VideoSeal) that survives platform compression.
Traditional visible watermarks destroy aesthetics and can be cropped or edited out, leaving no proof of ownership. You need invisible protection that survives editing and compression, with an optional visible overlay for sharing and proofing.
Every watermark comes with a downloadable certificate. After watermarking, download a JSON certificate containing the embedded message, timestamp, and owner information. Use our independent verifier tool to confirm the watermark matches, even months or years later.
Why this matters: If your watermarked content appears somewhere without permission, you have a timestamped record of your ownership claim. The certificate and verifier work together as supporting evidence. Useful for DMCA requests, platform disputes, and documenting your work.
We offer Meta's VideoSeal neural watermarking technology for videos, the same research-backed system designed to survive real-world video compression and distribution. Your watermark travels with your video through re-encoding, editing, and platform uploads.
Real-world tested: Watermarks achieve 97–99%+ signal strength at Strong (recommended) setting after H.264/H.265 re-encoding. Works through editing, filters, and platform compression.
Discrete Cosine Transform (DCT) embeds watermarks invisibly in the frequency domain of images, the same mathematical approach used by professional content licensing platforms. Your watermark is part of the image itself, not just metadata.
Survives: JPEG compression, Instagram/Twitter uploads, cropping, brightness adjustments, format conversion
Meta's VideoSeal uses neural networks trained on video compression artifacts. We're the first commercial platform to offer this technology publicly. Supports videos up to 2GB. TikTok, Reels, Shorts, Instagram, X, and longer-form content.
Survives: H.264/H.265 encoding, TikTok/YouTube compression, screen recording, editing, filters
💡 Why frequency-domain? Traditional metadata (EXIF data) is stripped by social media platforms instantly. Frequency-domain watermarking embeds data in the actual pixels/frames — it survives because the watermark is the image, not just attached metadata.
Protect Midjourney, Stable Diffusion, DALL-E creations from being re-trained into AI models
Watermark portfolios before posting to Instagram, Twitter, or stock sites
Protect YouTube, TikTok, Vimeo content with VideoSeal AI watermarking
Try everything free for 14 days. No credit card required
After 14 days: Upgrade to Pro ($19/mo) to continue, or your files stay safe for 60 days
Watermark, host, share, track, and verify. Free for 14 days. No credit card required.
⚖️ Legal Disclaimer: Watermarks (invisible and visible) provide technical evidence of ownership but are not absolute legal proof. They may deter unauthorized use and support copyright claims, but cannot guarantee prevention of content theft or AI training use. Visible watermarks can be removed by third parties through cropping, editing, or screenshotting. Image Tracking relies on third-party search engines whose coverage and availability may change. Social Sharing depends on platform-specific rendering of Open Graph metadata, which platforms may alter at any time. Consult legal counsel for specific cases.