Frequently Asked Questions
Find quick answers about MatchTune’s AI-powered solutions for music copyright protection, licensing compliance, and AI-generated content detection.
Frequently asked questions
CoverNet is MatchTune’s AI-powered music copyright protection tool.
It scans digital platforms to detect uses of your copyright — incl. unauthorized covers, modified audio and AI-generated content — safeguarding IP and recovering lost revenue for artists, labels and rights holders.
CoverNet is designed for music professionals who need to protect their rights and revenue.
This includes artists, record labels, music publishers, and performing rights organizations (PROs). Anyone responsible for managing music rights or tracking usage across platforms would benefit from CoverNet’s enhanced detection and reporting capabilities.
CoverNet's advanced AI is able to identify a wide range of subtle, elusive music copyright infringements, including direct copies, unlicensed covers, AI-generated vocals, and heavily modified tracks (e.g. slowed + reverb version or pitch-shifted remixes).
Unlike traditional fingerprinting systems (such as YouTube Content ID), CoverNet is able to detect heavily modified uses of your copyright — including covers, slowed or pitch-shifted versions, and AI-generated deepfake vocals. Its AI-driven analysis delivers deeper insights, identifies obscure infringements, and provides granular reporting in an accessible dual-interface platform, making it faster, more precise, and more efficient than conventional systems.
CoverNet scans all major digital music and video platforms, including Spotify, Apple Music, YouTube, TikTok, and Instagram. The platform analyzes all types of content (full videos, shortform clips and live-streamed content) to give rights holders comprehensive visibility.
CoverNet has two displays. The dashboard provides a high-level overview of music usage, showing potential monetization and traction information to help rights holders identify where to investigate further.
From here, the reporting grid allows deep analysis of individual content, with filters for parameters such as monetization status, date range, platform, artist, content type (e.g., deepfakes, master usage), and channel name.
Yes. CoverNet provides exact calculations for potential revenue impact by analyzing views, engagement, platform monetization, and content traction. This enables rights holders to understand how much value unauthorized uses may be diverting and prioritize enforcement actions accordingly.
Yes. CoverNet continuously monitors and publishes new results in real time, allowing rights holders to act quickly on fresh infringements before they gain traction.

