This page is designed to help you find out whether AudD is good and if it is the right choice for you.
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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Music recognition API
You send files with music, AudD responses with the recognized song
75 million tracks
Large music DB. Any song you can stream on Apple Music or hear on a radio is recognizable.
Clear audio or noisy mics
You can send even noisy microphone recordings to the API
Audio streams live recognition
Do you need to recognize music playing on radio stations? We have an API for that
Free Trial
14-day free trial, no credit card required
Easy to Set-up and use
Clear and easy to use API. A couple of clicks to get an api_token.
We have collected here some useful links to help you find out if AudD is good.
Check the traffic stats of AudD on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of AudD on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of AudD's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of AudD on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about AudD on Reddit. This can help you find out how popualr the product is and what people think about 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: about 3 years 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 / about 4 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: about 4 years ago
Recognized with Audd AI https://audd.io/. Source: about 4 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: about 4 years ago
I think anyone can make a bot for Matrix using the music recognition API. Source: over 4 years ago
If you can code, you can use this https://rapidapi.com/apidojo/api/shazam or this https://audd.io/ to identify snippets of songs. You just have to get the “streaming” data somehow. This may prove to be the difficult part…. Source: almost 5 years ago
I will cashapp the redditor who finds this $5 and split the money my friend gives me. I've tried shazam, the audd.io extension, the ACRcloud services and a couple others but no luck so far. Source: about 5 years ago
Audd.io for the logic, but the trigger (and anti-trigger) words can be easily identified: https://github.com/AudDMusic/RedditBot/blob/main/config.json. Source: over 5 years ago
If I found a video or audio link, I send it to the Music Recognition API. If the link contains something like ?t=3m20s, I tell the API to start music recognition at approximately the specified time. Source: over 5 years ago
The bot is written in Golang and powered by the music recognition API. The source code is available on GitHub. Source: over 5 years ago
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Is AudD good? This is an informative page that will help you find out. Moreover, you can review and discuss AudD here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
Useful guide. SongFromLink works in a closely related space, so this article was directly relevant to what we do.