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ACRCloud VS Music Recognition

Compare ACRCloud VS Music Recognition and see what are their differences

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ACRCloud logo ACRCloud

Automatic Content Recognition (ACR) cloud services for Audio Recognition ( identify music, ads ), Broadcast Monitoring, Second Screen, Copyright Protection.

Music Recognition logo Music Recognition

Music Recognition is a best-in-class application that identifies music of different categories in a quick and best way.
  • ACRCloud Landing page
    Landing page //
    2023-06-25
  • Music Recognition Landing page
    Landing page //
    2023-07-08

ACRCloud videos

+ Add

ACRCloud Music Recognition Demo on Musixmatch

More videos:

  • Review - Live / Humming / cover song recognition from ACRCloud by Raspberry Pi

Music Recognition videos

+ Add

iPhone Music Recognition

More videos:

  • Review - Soundhoud Music Recognition App Review
  • Review - Shazam VS. SoundHound – 2020 Music Recognition App Battle – What's Best for 2021?

Category Popularity

0-100% (relative to ACRCloud and Music Recognition)

ACRCloud

Music Recognition

Audio & Music
67 67%
Audio & Music
33% 33
Tool
59 59%
Tool
41% 41
Audio Player
62 62%
Audio Player
38% 38
Research Tools
100 100%
Research Tools
0% 0

User comments

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What are some alternatives?

When comparing ACRCloud and Music Recognition, you can also consider the following products

Shazam - Shazam is a mobile app that recognizes music and TV around you.

Gracenote Music Recognition - Gracenote Music Recognition is best in class music recognition platform that uses audio fingerprinting technology for identifying any music.

AudioTag - AudioTag.info — is a free music-recognition service.

AHA Music - AHA Music is a music identifier on Chrome, it detects songs playing on your browser with Spotify...

Tunatic - Free software to identify songs on your computer

AudD - Basically, Shazam API. Recognize music in microphone recordings, audio files, and UGC. Identify songs playing on radio stations and audio streams. Or make your own music recognition app. Recognize music from social networks and analyze trends.

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