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CoverNet is an AI-powered tool for detecting music copyright infringement. It monitors how tracks, covers, and voice clones are used across major digital platforms, helping rights holders spot unauthorized copies early.
CoverNet scans music catalogs and media platforms and matches found recordings against reference tracks. Its algorithms account for changes in tempo, key, and arrangement, so it can identify both direct copies and modified, unlicensed covers.
CoverNet also focuses on protecting an artist’s voice. It analyzes recordings to flag cases where a voice appears to be synthesized or replicated with neural networks without the rights holder’s permission, reducing misuse of vocal models.
Users receive detailed match reports and alerts in near-real time. This supports faster response to violations, evidence collection, and next legal or business steps to protect a music catalog.
