Our proprietary audio watermarking technology embeds inaudible multimedia data - such as text, audio, images, or online databases - into audio, enabling verification of its origin and authenticity. By actively monitoring the internet for watermarked content, it aids in piracy prevention and verification.
Our Anti-AI Encryption technology protects your voice from unauthorized cloning by applying inaudible modifications to your audio, effectively preventing AI models from replicating it. Designed to counter both AI training and inference stages, our encryption disrupts data crawling and instant voice cloning attempts.
Our Deepfake Detection technology accurately differentiates between AI-generated voices and real human voices in real time. Our model has won multiple awards in international audio deepfake detection competitions, demonstrating its industry-leading reliability and effectiveness.
Inaudible watermark infrastructure for copyright protection, AI provenance, and content authenticity.
The only API-first audio watermark infrastructure
OFSpectrum embeds cryptographically secure, inaudible watermarks directly into the audio signal — surviving compression, editing, and re-recording. SOC2 certified. C2PA compliant. Built for the AI era.
Why OFSpectrum
Not an academic research project. Not a legacy enterprise appliance. A purpose-built API infrastructure for the AI era.
The only self-serve audio watermarking API. Integrate in minutes — no enterprise sales call required. RESTful endpoints with Python SDK, webhooks, and real-time verification.
Enterprise-grade security with independent audits. C2PA-compliant provenance metadata for AI-generated content. Your audio assets meet the highest compliance standards.
Identity-based watermark matching vs legacy acoustic fingerprinting. Locate leaked content in minutes, not days. Automated web-wide scanning for pirated audio.
Psychoacoustic embedding engineered to be imperceptible. Survives MP3/AAC compression, trimming, remixing, equalization, and over-the-air re-recording. Try the listening test yourself.
The provenance layer behind inaudible watermarking, ownership, attribution, and policy-aware audio workflows.
As generative audio scales, the question is no longer only can we embed a transparent watermark?
It is can that watermark remain meaningful under attack, and can we verify it without turning the watermark system itself into an attack surface?
From music labels to AI labs — the world's most forward-thinking teams trust OFSpectrum to secure their audio assets. Join them.
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