Patented audio watermarking and acoustic fingerprinting technologies

We develop and license proprietary audio watermarking and acoustic fingerprinting software for commercial and professional use. The patented* technologies are available as robust, cross-platform DSP solutions and services — from server-side tools to real-time streaming SDKs.

EU AI Act Watermarking for AI-generated audio

Since 2 August 2026, providers of AI systems that generate synthetic audio must ensure their output is marked in a machine-readable format and detectable as artificially generated (Article 50). Our patented watermarking embeds a robust, inaudible mark into AI-generated speech and music at the moment of creation — in real time, on your own servers.

How it works →

These technologies enable professionals and organizations to:

  • trace leaks and deter piracy through forensic watermarking
  • authenticate recordings and prove content provenance
  • mark and disclose AI-generated or AI-manipulated audio (EU AI Act)
  • monitor broadcasts, recognize music, and synchronize playback
  • embed invisible data into audio for signaling, licensing, and DRM
  • de-duplicate large audio libraries using acoustic fingerprinting

Explore technologies Explore use cases

Info — Digital audio watermarking allows an imperceptible digital signature or code to be embedded in audio content so it can later be detected and extracted for authentication, traceability, rights protection, or event triggering.
— Acoustic fingerprinting is a signal processing technique for identifying, matching, and comparing audio recordings by means of compact digital acoustic fingerprints (“acoustic hashes”) derived from the sound itself.

Alex Radzishevsky

From the inventor

I'm Alex Radzishevsky, the inventor of the patented technologies presented on this site. I have been developing and licensing them since 2007 to broadcasters, labels, publishers, and technology companies worldwide. When you work with AudioWatermarking, you get direct access to the person who designed the algorithms — from the first technical question to integration and long-term support.

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