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  2. Shazam (music app) - Wikipedia

    en.wikipedia.org/wiki/Shazam_(music_app)

    Shazam is an application that can identify music based on a short sample played using the microphone on the device. [2] It was created by the British company Shazam Entertainment, based in London, and has been owned by Apple since 2018. The software is available for Android, macOS, iOS, Wear OS, watchOS and as a Google Chrome extension.

  3. Tunatic - Wikipedia

    en.wikipedia.org/wiki/Tunatic

    Tunatic is a freeware music identification program developed by Sylvain Demongeot for Windows and Mac OS.. The software analyzes a song by recording it via microphone or just by playing it through the sound card, and then it sends the data online to its database where it searches for a match.

  4. Musipedia - Wikipedia

    en.wikipedia.org/wiki/Musipedia

    The latter can identify short snippets of audio (a few seconds taken from a recording), even if it is transmitted over a phone connection. Shazam uses Audio Fingerprinting for that, a technique that makes it possible to identify recordings. Musipedia, on the other hand, can identify pieces of music that contain a given melody.

  5. List of online music databases - Wikipedia

    en.wikipedia.org/wiki/List_of_online_music_databases

    Below is a table of online music databases that are largely free of charge. Many of the sites provide a specialized service or focus on a particular music genre . Some of these operate as an online music store or purchase referral service in some capacity.

  6. MusicBrainz - Wikipedia

    en.wikipedia.org/wiki/MusicBrainz

    ListenBrainz is a free and open source project that aims to crowdsource listening data from digital music and release it under an open license. [23] It is a MetaBrainz Foundation project tied to MusicBrainz. It aims to re-implement Last.fm features that were lost following that platform's acquisition by CBS. [24] [25]

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  8. CDDB - Wikipedia

    en.wikipedia.org/wiki/CDDB

    CDDB was designed around the task of identifying entire CDs, not merely single tracks. The identification process involves creating a "discid", a sort of "fingerprint" of a CD created by performing calculations on the track duration information stored in the table-of-contents of the CD (see the following section for an example calculation).

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