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.
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Based on our record, MusicBrainz Picard seems to be a lot more popular than AudD. While we know about 160 links to MusicBrainz Picard, we've tracked only 11 mentions of AudD. 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: 11 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
Have you tried https://www.funkwhale.audio/? It can be used effectively as a "private spotify". Labeling is a solved problem thanks to https://picard.musicbrainz.org/, and the fact that a lot of the music you buy these days comes pre-labeled already. You then have a web-app (and/or a mobile app, if that's your thing) where you can stream music as you would with Spotify. You can even build yourself a little... - Source: Hacker News / about 2 months ago
I use picard for my collection. My work flow is Picard > Lyrics Finder > Foobar for BPM, RealGain and DR > Custom python script to pull genre and mood from Last.FM and spotify> then Advanced Renamer to perform naming clean up of folder names. I lowercase and underscore spaces. Also does files if I happen to need Mp3Tag when Picard doesn't find anything. Once this is done I move files on to may NAS. Source: 5 months ago
Musicbrainz Picard - A great application that I've used in the past to identify and organize my saved music collection. It's not focused on adding semantic tags though: it's used for adding metadata to .mp3 files. Source: 6 months ago
I do the same but run it though Picard[0] before adding to Plex. [0]https://picard.musicbrainz.org/. - Source: Hacker News / 8 months ago
Feed all of your music to something like 'musicbrainz picard' - it will sort out all the tags and provide the artwork too. Source: 10 months ago
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