7 Alternatives to AudioTag for Identifying Unknown Music Tracks
By Gregor K. published about 2023-01-01 17:19:46
Are you looking for similar websites like AudioTag? AudioTag is a great website for identifying songs as well as discovering new music. But if you want to explore other websites that offer similar services, this list has got you covered. Here are some of the best alternatives to AudioTag that you can use to identify music and discover new tunes.
AudioTag
AudioTag is an online music recognition and tagging tool that helps identify music tracks by analyzing short audio samples. It uses acoustic fingerprinting and a custom-built machine learning algorithm to identify songs and provide detailed information about them, including artist, album, genre and release year.
Features
- Music Recognition and Tagging
- Acoustic Fingerprinting
- Machine Learning Algorithm
- Detailed Information on Tracks
Table of Contents
AudioTag Alternatives
AudioIdentifier
Both websites provide audio recognition services.
AudioIdentifier offers more detailed information about the track, including the title, artist, album, genre, and release year.
Shazam
Both websites offer audio recognition services.
Shazam has a mobile app that allows users to identify songs on the go.
SoundHound
Both websites offer audio recognition services.
SoundHound offers a wider range of music genres and more detailed information about the track.
TuneFinder
Both websites offer audio recognition services.
TuneFinder offers more detailed information about the track, including the composer, publisher, and release date.
Musipedia
Both websites offer audio recognition services.
Musipedia has a larger library of music and offers more options for searching for a track.
ACRCloud
Both websites offer audio recognition services.
ACRCloud offers a more comprehensive set of features, including audio analysis, fingerprinting, and music recognition.
MusicBrainz
Both websites offer audio recognition services.
MusicBrainz has a larger database of music and more detailed information about the track.
History of AudioTag
AudioTag is a website that was launched in 2013 as an online platform dedicated to helping people identify songs and other audio files. The website allows users to upload short snippets of audio and receive information on the title, artist, and album associated with the audio. Since its launch, AudioTag has become one of the most popular online audio identification services, with millions of users accessing the website each month.
AudioTag Status
The AudioTag website on online and reachable (last checked on 2024-12-08 01:00:07).
Comments
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What can I say, I'm a fan of AudioTag, but I'm always open to trying something new!
2023-06-05 06:20:30 · -
I don't know what I expected when I clicked on this article, but I definitely didn't expect a whole list of AudioTag clones!
2023-06-28 16:36:32 · -
I was looking for something like AudioTag, but I ended up here because I got lost...so I guess it's kinda similar?
2024-02-01 18:13:28 · -
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I'm so glad this article was here to save the day, now I can finally find what I'm looking for!
2024-04-11 12:30:00 · -
Time to go on a wild goose chase, trying to find the best website similar to AudioTag!
2024-08-03 20:07:48 · -
I'm starting to think that AudioTag is the most popular website ever since I keep seeing its clones everywhere!
2024-08-06 04:07:40 · -
Wow, I'm so glad I stumbled upon this article! I was just about to ask Google to show me some alternatives to AudioTag.
2024-09-18 11:20:52 · -
I'm not sure how these websites are similar to AudioTag, but I'm sure they'll keep me entertained for a while!
2024-11-06 14:52:21 ·
Further Links
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AudioTag
AudioTag is an online music recognition and tagging tool that helps identify music tracks by analyzing short audio samples. It uses acoustic fingerprinting and a custom-built machine learning algorithm to identify songs and provide detailed information about them, including artist, album, genre and release year.
Features
- Music Recognition and Tagging
- Acoustic Fingerprinting
- Machine Learning Algorithm
- Detailed Information on Tracks