Music recognition API. Recognize music in microphone recordings, audio files, and UGC. Identify songs playing on radio stations and from other audio streams. Monitor airplay and create radio charts or make your own music recognition app. Recognize music from social networks and analyze trends.
Tune Sweeper 4 is an easy to use utility which lets you quickly and easily clean up your iTunes Library. Tune Sweeper can scan your iTunes library for duplicate tracks based on your preferred search criteria. It displays your iTunes duplicates in groups so that you can easily select which of the tracks you want to remove from your iTunes at the click of a button.
To help users tidy up their iTunes library further, Tune Sweeper also contains the ability to find and delete missing tracks in iTunes, as well as being able to locate any tracks on your hard drive which are not currently in iTunes and add them to your library if required.
Tune Sweeper 4 can also find and download any incorrect track data for your songs, fixing any tracks labelled “track 01”, “track 02” etc. Furthermore, Tune Sweeper can download any missing album artwork for you to complete your music collection, as well as allowing users to view a quick overview of their iTunes statistics.
The latest addition to Tune Sweeper 4 feature set is the ability to identify tracks from Apple Music, making it easy to see which songs will vanish from iTunes if you cancel your Apple Music subscription.
Tune Sweeper is compatible all versions of iTunes and the Mac Apple Music app. Tune Sweeper is available as a free trial download for Windows and Mac. The full version of the software costs $25.00, giving access to all functionality, free customer support and a lifetime of free point software updates.
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Based on our record, AudD seems to be more popular. It has been mentiond 11 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.
You need to use a song recognition API if you want it to be source agnostic. Here's the first result on Google, gives all the info you want I think .https://audd.io/ So it's just matter of adding a microphone to the controller , plus and required drivers and writing some code to run the API query against the current input from the mic, and outputting that to whatever you want. Source: 12 months ago
In this article, an application will be built using JavaScript and Node.js where a simple chatbot will be implemented using the Zenvia platform to integrate with WhatsApp channel and the AudD platform to integrate with music recognition in order to test some features of the WhatsApp channel such as sending and receiving text, image and audio messages. - Source: dev.to / almost 2 years ago
AudD got me the linked YouTube song. I got her Wikipedia and found the other song by Kirche. Listened to both and concluded that they're not the same. Nacht means Night in German and the only thing on her Wikipedia about "night" is ヨルオトヒョウホン(夜音標本). So I googled it and it was the right album. Source: almost 2 years ago
Recognized with Audd AI https://audd.io/. Source: almost 2 years ago
I found this API searching around Https://audd.io/ I would give it a try for recognition, with, maybe, lastFM for track details... Source: almost 2 years ago
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Dupe Eliminator for iTunes - iOS, iPad, iPhone, iPod Touch, iTunes, iTunes software, Software for iTunes, mobile iOS apps for iPad, iPhone and iPod Touch. Remove iTunes duplicates. Stream iTunes Music Library. Super iTunes Suite of useful tools.