7 Top AI/ML Based Music Apps In 2021

Music apps -- that leveragies the latest AI, ML technologies -- have become an essential part of our daily routines.

You are in your bed, with a book and a cup of coffee in hand. It’s raining, and you are savouring the sound of rain droplets buffeting your window panes while your favourite songs play in the background. And most likely, the song you are listening to is recommended by your music app.

Music apps — that leverages the latest AI, ML technologies — have become an essential part of our daily routines. 

Here, we look at the 7 top AI/ML-based music apps and the tech powering them:

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The app has over 50 million songs and collects a lot of information about music tastes, search habits, playlists, geographical location, and most-used devices. Spotify analyses these data and builds ML algorithms based on it to understand your music preferences better and make new styles, musicians, and songs easier to discover. The app prepares a personalised list of 30 songs for each user, and for this, the platform uses various audio models and NLPs. “Spotify for Artists” provides singers and artists with useful data about their audience, demography, location, preferences, etc.


Gaana has improved the song search functionality with a machine-learning-based search feature. It presents song recommendations based on the user’s listening history. The app creates personalised playlists from different genres in its “Made for you Mixes and Playlists,” for a better listening experience. The voice search option is also available on the app, allowing users to look for songs, singers, movies, lyrics, moods, and occasions.

For more details, check out this interview with Gaana


JioSaavn app uses deep neural networks to recommend music to its listeners. The AI engine uses Attention based models to extract song’s features from its audio and match it with the users who would like to listen to it. The app offers high-quality suggestions in English, Hindi and regional languages. Moreover, the selected song tracks are accompanied by 15-second looping visuals. Artist profiles are also revised regularly to include recent releases, featured playlists, and a comprehensive discography.

Amazon Prime Music

Alexa, Amazon’s AI assistant, is incorporated into the Amazon Prime Music app. You simply have to tap the Alexa icon and can play music with commands like, “Play Hindi music,” “Play 80s Romantic songs,” or “Play Workout songs.” You can also download an unlimited number of songs from Amazon Prime Music to listen while offline. Prime Music is available on all Amazon products, including the site.


The platform allows subscribers to listen to an infinite number of songs across genres and artists in multiple languages. Users can provide voice commands to Google Assistants on smartphones and smart speakers from Google Nest to listen to their favourite tracks. Hungama’s services are available via an AI-enabled chatbot called ‘Ask DISHA,’ which can be found on the IRCTC website and mobile app. Users will be able to access Hungama Music via the chatbot and listen to songs and watch videos. Moreover, Hungama services can be availed on Alexa as well.

Apple Music

Apple’s iTunes and iPod changed the music industry forever. Apple has acquired both Siri and Shazam to improve the quality of their services. Siri is a virtual assistant that responds to voice commands. Shazam is an app that can recognise the audio material by sampling the sound. Genius Playlist is an AI-based service in Apple Music to help users get access to their favourite songs.

YouTube Music (Earlier Google Play Music)

YouTube music developed a system that uses convolutional neural networks (CNNs) to transform a few seconds of audio into a specific “fingerprint.” This fingerprint is then compared to tens of thousands of song databases stored on the computer, modified regularly to include newly released tracks and delete the outdated ones. Google has built a lightweight, powerful music recogniser that only needs a small fingerprint for each track in the database, enabling music recognition to be done completely on-device and without using the internet.

kumar Gandharv
Kumar Gandharv, PGD in English Journalism (IIMC, Delhi), is setting out on a journey as a tech Journalist at AIM. A keen observer of National and IR-related news.

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