AudD® is music recognition API.
For the audio streams live music recognition see docs for audio streams (it might be helpful for creating radio charts, now playing widgets or bots for YouTube and Twitch streams, etc.). We also have an endpoint that accepts large audio files (could be hours-long mixes or days-long recordings) and recognizes all the tracks in them, see docs for the enteprise entpoint.
You can send all the requests and all the parameters by GET and POST, in a query or a request body.
api_token— auth token that's required for all your requests. You can get one from the API Dashboard. Sign up with a Telegram account to get the first 300 requests for free.
Please note that the api.audd.io endpoint also has methods for audio streams and methods that aren't published. See the docs for audio streams or work with your AudD contact to coordinate access to the docs.
recognize is the default API method. It's for standard music recognition that works like Shazam. A file is required, see #Sending files or the Code examples tab below.
- Code examples
return parameter is for comma-separated identifiers of the additional metadata you want to be returned. The identifiers you can send:
musicbrainz – MusicBrainz metadata;
napster – Apple Music, Spotify, Deezer, Napster data and links respectively;
lyrics – lyrics and additional metadata (sometimes not accurate). Example:
You can also send GET requests, even though it's better to send the parameters in the POST body. Here's an example:
Just don't forget to url-encode the parameters.
recognizeWithOffset is the method for recognition by humming/singing. The file is required. We can't guarantee any accuracy for this method.
- Code examples
findLyrics is the method for lyrics searching.
- Code examples
recognizeWithOffset API methods you have to send a file for recognition. There are three ways to send files to our API:
- Provide an HTTP URL for the file to be recognized. Our server will download and recognize the file. Send the URL in the
urlparameter, as a string. The parameter can be sent either in request body or query parameters, by GET or POST. This way is highly recommended. If the file is available by URL, it's the easiest way to send it.
- Post the file using multipart/form-data in the usual way files are uploaded by browser. Send the file in the
fileparameter, by POST. Recommended using if the file is not available by a URL (for example, if they are recorded locally or are not on a server).
- Send a base64 encoded file in the
audioparameter, as a string, by POST. We really discourage the usage of this parameter and even don't list it below in the method descriptions, but we still support it as it can be useful in some frontend applications.
The API also supports async WebSockets: connect to
wss://api.audd.io/ws/?api_token=[token] and send multiple requests (with files in binary form) without waiting for server's responses/results.
By default, the API responses are in the JSON format.
All the responses contain the
status field that equals either "success" if everything is OK or "error" if there's been an error. In case of a success, the
result field is always returned.
If the request was successfully processed but there's no matches, the
result field could be
null or an empty array, depending on the method.
If there are matches, for the
recognize method the
result is a structure that always contains
song_link fields. Additionaly, it has the data requested in the
return parameter in corresponding identifiers.
And just in case:
timecode is the time in the recognized song when the fragment you sent is played;
song_link is a lis.tn link like lis.tn/Warriors. Please let us know if you need album links instead of song links.
To send requests, receive a token from the Dashboard (requires a Telegram account).
If you want to send >100 000 requests and don't want to use our Dashboard or to create a Telegram account, we can issue a token for you manually, in this case contact us: [email protected], +1(302)283-9101, t.me/AudDhelp.
- There are the Code example tabs in each of the request descriptions. You can use them for reference.
- You can search for code examples on GitHub.
- We have a Chrome extension written in JS that recognizes music from the opened tab of your browser. Source code: github.com/AudDMusic/audd-chrome-extension.
- We've published an example Discord bot source code in Golang that recognizes music from a voice channel: github.com/AudDMusic/discord-bot.
We have about 40 different error codes. The API returns the errors with an explanation of what happened. The common errors:
- #901 — No api_token passed and the limit was reached (you need to obtain an
- #900 — Wrong API token (check the
- #600 — Incorrect audio url.
- #700 — You haven't sent a file for recognition. If you use POST HTTP method, check the Content-Type header: it should be
- #500 — Incorrect audio file.
- #400 — Too big audio file. 10M or 25 seconds is maximum, we recommend to record no more than 20 seconds (usually it takes less than one megabyte). If you need to recognize larger audio files, use the enterprise endpoint instead, it supports even the files that are days-long.
- #300 — Fingerprinting error: there was a problem with audio decoding or with the neural network. Possibly, the audio file is too small.
- #100 — An unknown error. Contact us in this case.