ACRCloud vs Earworm

ACRCloud provides audio recognition services for files, streams, and live broadcasts. Its music recognition uses a fingerprint database of more than 150 million tracks, and results can include links to Spotify, Apple Music, Deezer, and YouTube, as well as ISRC and UPC codes. Other listed capabilities include metadata, AI music detection, broadcast monitoring, cover song identification, second-screen sync, copyright compliance, audience measurement, humming recognition, offline recognition, and speech to text. Teams can assemble workflows with APIs, SDKs, console tools, and documentation. Mobile SDK references cover iOS, Android, and Unity; its Go SDK supports Linux and macOS. The service is aimed at music services, broadcasters, labels, distributors, advertisers, automotive platforms, brands, and rights organizations. Distributors can compare user-generated content with the music database to identify copyright infringement risk. The platform supports Android, iOS, Linux, macOS, web, and Windows. The listed trial is free for 14 days, with full API access and no credit card required.

Earworm is an iOS song identifier that recognizes a tune from humming, singing, or whistling, even when the original track is not playing and its lyrics are unknown. Tap the orb and provide a clear melody; the maker says five to ten seconds is usually enough. The app returns a ranked shortlist with previews that you can confirm, then opens matched songs in Apple Music or Spotify. An Apple Watch app can identify songs from the wrist. Earworm is currently a free TestFlight beta and is not yet on the App Store; an account is required. Short recordings, search history, and match feedback are stored with the account on Earworm’s servers until deletion. The maker says recording use for improving matches is optional and can be withdrawn in Settings, and that it does not sell personal data or use it for third-party advertising or cross-app tracking. Account deletion removes the account, recordings, and history.