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Shazam VS Easy ML for Java

Compare Shazam VS Easy ML for Java and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Shazam logo Shazam

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

Easy ML for Java logo Easy ML for Java

The easiest way to start with Machine Learning in Java
  • Shazam Landing page
    Landing page //
    2023-10-28
Not present

Shazam features and specs

  • Quick Music Identification
    Shazam can quickly identify songs by listening to a short snippet of the music, usually in just a few seconds.
  • Integration with Streaming Services
    Shazam integrates with popular streaming services like Apple Music, Spotify, and Deezer, allowing users to directly add identified songs to their playlists.
  • User-Friendly Interface
    The app has an intuitive and easy-to-navigate interface, making it accessible for users of all tech skill levels.
  • Offline Mode
    Shazam offers an offline mode where users can identify songs without an internet connection. The app will save the snippet and identify it later when back online.
  • Additional Features
    The app includes other useful features such as lyric synchronization, music video recommendations, and artist information.

Possible disadvantages of Shazam

  • Privacy Concerns
    Shazam collects user data such as location and music listening habits, which could be a privacy concern for some users.
  • In-app Ads
    The free version of Shazam contains advertisements, which some users may find intrusive and annoying.
  • Occasional Identification Errors
    While generally accurate, Shazam sometimes fails to identify songs correctly, especially if the audio quality is poor or if the music is a less known track.
  • Limited Functionality Without Internet
    Although it has an offline mode, the full functionality of the app is only available when connected to the internet, which limits its usage in areas with poor connectivity.
  • Battery Usage
    Continuous use of the app, like in 'auto mode', can consume significant battery power, reducing the overall battery life of your device.

Easy ML for Java features and specs

No features have been listed yet.

Analysis of Shazam

Overall verdict

  • Overall, Shazam is a reliable and efficient app for music identification. It is well-regarded for its accuracy and speed, providing users with a valuable resource for exploring and discovering music.

Why this product is good

  • Shazam is a popular music identification app that allows users to discover new music by identifying songs playing around them. It delivers fast and accurate results, integrating seamlessly with other music services like Apple Music, Spotify, and YouTube. Its user-friendly interface and extensive database make it a convenient tool for music enthusiasts.

Recommended for

    Shazam is recommended for anyone who loves music and wants to seamlessly identify and save songs they encounter. It's particularly useful for music enthusiasts, DJs, and curious listeners who frequently come across tracks they enjoy and want to know more about.

Analysis of Easy ML for Java

Overall verdict

  • Easy ML for Java appears to be a lightweight, approachable library aimed at bringing machine learning capabilities to Java developers without requiring deep ML expertise or switching to Python-centric ecosystems. It seems suitable for developers who want to integrate basic ML functionality into existing Java applications with minimal overhead, though it likely lacks the depth, community support, and cutting-edge features of major frameworks like TensorFlow, PyTorch, or scikit-learn.

Why this product is good

  • Native Java implementation avoids the need for language interop or JNI bridges to Python-based ML libraries
  • Simpler API design makes it more accessible for Java developers without extensive ML background
  • Documentation via GitBook suggests an organized, readable learning path for newcomers
  • Lightweight footprint can be beneficial for integrating into existing Java-based systems without heavy dependencies
  • Good fit for educational purposes or prototyping simple ML concepts within a Java codebase

Recommended for

  • Java developers who want to experiment with ML without learning Python
  • Small to medium projects requiring basic classification, regression, or clustering functionality
  • Students or educators teaching foundational ML concepts using Java
  • Teams with existing Java infrastructure who need lightweight ML integration without major architectural changes
  • Prototyping and proof-of-concept work rather than production-grade, large-scale ML systems

Shazam videos

+ Add

Shazam! - Movie Review

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Category Popularity

0-100% (relative to Shazam and Easy ML for Java)

Shazam

Easy ML for Java

Audio & Music
100 100%
Audio & Music
0% 0
Artifical Intelligence
0 0%
Artifical Intelligence
100% 100
Music Streaming
100 100%
Music Streaming
0% 0
Machine Learning
0 0%
Machine Learning
100% 100

User comments

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Social recommendations and mentions

Based on our record, Shazam seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Shazam mentions (2)

  • Missing shazams
    When I sign in on shazam.com and sign in with apple it says I have 200 songs. Source: almost 4 years ago
  • What song is playing in the background of this clip
    You can also use apps or webistes like shazam.com to get the name of the song. Source: over 4 years ago

Easy ML for Java mentions (0)

We have not tracked any mentions of Easy ML for Java yet. Tracking of Easy ML for Java recommendations started around Jan 2023.

What are some alternatives?

When comparing Shazam and Easy ML for Java, you can also consider the following products

Apple Music - Apple Music app combines your personal iTunes library with Apple's music subscription service. Music you have purchased from the iTunes store, or synced over from other sources, is available in the "Library" tab. Read more about Apple Music.

TIDAL - Tidal is a streaming music service supported by some of the most influential artists working in the industry.

SoundHound - SoundHound - the most immersive music search, discovery and play experience on mobile.

Last.fm - The world's largest online music service. Listen online, find out more about your favourite artists, and get music recommendations, only at Last.fm

Deezer - Deezer is a music streaming app created in France. It is available in 180 counties and gets 16 million users a month. 6 million of the users have paid subscriptions. Read more about Deezer.

Grooveshark - Grooveshark was a popular service for streaming music that was created in 2006. The platform allowed individuals to stream audio files that were uploaded by other users. Read more about Grooveshark.

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