Atom
Visual Studio Code
Sublime Text
Vim
Notepad++
Netbeans
Microsoft Visual Studio
IntelliJ IDEA
AudD
Shazam
ACRCloud
Pex Search
Gracenote Music Recognition
AHA Music
AudioTag
Music Recognition
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.
No features have been listed yet.
Based on our record, Atom seems to be a lot more popular than AudD. While we know about 152 links to Atom, 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.
Before we dive into writing JavaScript code, let's ensure we have the right setup. We'll need a text editor and a web browser. Popular choices include Visual Studio Code, Sublime Text, or Atom. Pick your favourite editor, install it, and make sure you have a reliable web browser like Chrome, Firefox, or Safari at your fingertips. - Source: dev.to / about 1 year ago
Now that microsoft has sunset atom.io on github VS Code will drop in usage and numbers worldwide. Source: about 1 year ago
A text editor: You'll need a text editor to write your code. Some popular options include Visual Studio Code (https://code.visualstudio.com/), Neovim (https://neovim.io/), and Sublime Text (https://www.sublimetext.com/). - Source: dev.to / over 1 year ago
This is something all popular Integrated Development Environments have, VS Code, JetBrains IDE's, Atom, Sublime so you can definitely try it out. - Source: dev.to / about 2 years ago
I like http://atom.io but use it for python, js, css, svelte, sql, .git files pretty solid for what I need. Source: over 1 year ago
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
Visual Studio Code - Build and debug modern web and cloud applications, by Microsoft
Shazam - Shazam is a mobile app that recognizes music and TV around you.
Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.
ACRCloud - Automatic Content Recognition (ACR) cloud services for Audio Recognition ( identify music, ads ), Broadcast Monitoring, Second Screen, Copyright Protection.
Vim - Highly configurable text editor built to enable efficient text editing
Pex Search - Pex is a leading automatic content identification platform featuring automatic audio and video recognition, and cover song identification. Audio identification ensures remixes, mashups, nightcore edits, short segments etc. are all identified.
