About LeakGuard

LeakGuard exists for one purpose: to help musicians, producers, and labels protect their unreleased work from unauthorized distribution. In an age where a single leaked track can derail months of marketing strategy and album rollouts, having the ability to trace the source of a leak is invaluable.

We believe that every creator deserves tools to protect their intellectual property. Our mission is to provide professional-grade audio watermarking technology that was once available only to major labels, making it accessible to independent artists and small studios worldwide.

Music leaks have become an unfortunate reality in the digital age. Pre-release tracks shared with collaborators, journalists, or promotional partners can end up on torrent sites or social media within hours. The financial and emotional toll on artists is significant, yet until now, most creators had no way to identify the source of such breaches.

Unlike traditional watermarking solutions that require expensive software licenses and technical expertise, LeakGuard runs entirely in your web browser. There is no software to install, no subscription fees to pay, and no learning curve to overcome. Simply upload your WAV file, enter an identifier, and download your watermarked track.

Our spread spectrum watermarking technology embeds an invisible identifier into the audio signal itself. This identifier survives common sharing methods including messaging apps like WhatsApp and Telegram, cloud storage platforms, and even conversion to MP3 or AAC formats. The watermark is inaudible to human ears but can be reliably detected by our tool.

Most importantly, LeakGuard is designed for real-world use cases. We understand that musicians need to share pre-release tracks with dozens of people: A&R representatives, playlist curators, journalists, potential collaborators, and trusted fans. Each person can receive a uniquely watermarked copy, creating an audit trail that helps identify the source if a leak occurs.

We built LeakGuard with a fundamental principle: your music should never leave your device. Every operation, from watermark embedding to detection, happens locally in your web browser. Your audio files are processed using your computer's own resources and are never uploaded to any server.

This privacy-first approach means we have no access to your music, your identifiers, or any information about your watermarking activities. There is no data to store and no analytics tracking your usage patterns. We do not and cannot see what files you process or what identifiers you embed.

In an industry where trust is paramount, we chose to build a tool that requires no trust at all. The entire application is open and transparent. You can verify for yourself that no network requests are made when processing your files. Your audio stays on your machine, period.

This design also means LeakGuard works offline once the page has loaded. Whether you are in a remote studio without reliable internet or simply prefer to work disconnected, the tool remains fully functional. Privacy and convenience go hand in hand.

LeakGuard uses spread spectrum watermarking, a technique derived from military communications technology. The watermark signal is spread across a wide frequency range, making it robust against compression, filtering, and other audio processing. This is the same fundamental approach used by major content protection systems.

We focused on building a tool that works reliably rather than one that makes impressive but unrealistic claims. Our watermark survives the kinds of processing that leaked music typically undergoes: compression for sharing via messaging apps, format conversion, and moderate volume adjustments. We are transparent about limitations too, such as extreme pitch shifting or re-recording from speakers.

The detection algorithm is designed to provide clear results. When you analyze a file, you get a definitive answer about whether a watermark is present and what identifier was embedded. There are no ambiguous confidence scores to interpret or false positives to sort through.