AudD vs Earworm

AudD identifies music in audio files, user-generated content, microphone recordings, streams, and video through web, API, and extension access. Results can include artist, title, album, label, release date, and identifiers such as ISRC and UPC; the listed capabilities also include lyrics, listening links, and identification history. AudD says its database contains 160 million songs and uses its own neural-network audio fingerprinting technology. The standard endpoint analyzes up to about 12 seconds per request; longer files require the enterprise endpoint, which can process files of any length and return track timestamps. AudD can monitor radio stations and streams around the clock, returning results through webhooks or long polling. Stream recognition supports Twitch, YouTube, and other stream URLs, with a Twitch extension and embeddable widget. File recognition pay-as-you-go costs $5 a month, billed at $5 per 1,000 requests, and signup includes 300 requests without a credit card. A free plan and trial are listed; stream-monitoring trial inquiries are also available.

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 The maker says recording use for improving matches is optional and can be withdrawn in Settings, and that it does not sell personal data or use it for third-party advertising or cross-app tracking.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.