Updates to the enterprise endpoint
We’ve made some changes to our Enterprise endpoint:
- It now accepts URLs of web pages (e.g., YouTube links);
- The chunks’ length is now 12 seconds;
- You can specify the time where the server should start music recognition;
- You can ask the server to parse the t parameter of the url you give it and use it as the start time.
We launched a Reddit bot, @auddbot. It reads through millions of comments on Reddit and answers hundreds of questions like “What the song” in posts and comments, recognizes music from YouTube, Twitch, and when livestreams.
It utilizes the latest changes in our enterprise API.
The bot is written in Golang and uses our Go library. The source code is available on GitHub.
You can now turn on the auto-renewal of your subscription on the Dashboard.
Important: We decided to automatically renew subscriptions of those users who send requests after their subscription ends. That would help you avoid interruptions in the service. We know that many of our customers don't use Telegram a lot, and therefore they don't receive messages from our Telegram bot. It leads to many accidental losses of access to the API because some customers only renew their subscriptions when they get errors from the API.
If you don't send any API requests in two days after your subscription period has ended and haven't manually enabled the auto-renewals, we won't automatically renew your subscription, and you'll get unsubscribed.
If you want to unsubscribe but aren't able to stop sending requests, please let us know.
If you get charged for a future subscription without wanting to, please let us know, and we'll fully refund the payment.
HTTP Long Polling and widgets for stream results
You can now receive music recognition for streams results using HTTP Long Polling, see the Docs for Streams.
We also have released widgets that utilize the long poll and can be iframed on your project, widget.audd.tech/?ch=-92b1cc7f0&black-font | widget.audd.tech/?ch=-92b1cc7f0&background&history&shadow.
Twitch has released our extension
The Twitch team has finally released our music recognition extension. It allows broadcasters to show what music is playing on the stream and posts all the songs with the lis.tn links to the chat.
To start, just add the extension to your channel. If you don't have an active subscription and want to test it for free before subscribing, let us know (contact @AudDhelp in Telegram or [email protected]).
The source code of the extension is published on GitHub.
Twitch and YouTube streams native support
You can now easily recognize music that plays on Twitch and YouTube live streams.
In addStream and setStreamUrl API methods, just send
youtube:[video id] or
twitch:[channel name] as a stream url — like
More info: API Docs for Streams.
Music recognition for streams for all of our users
We've been working on this for a while. We're already recognizing music playing on hundreds of audio streams — in real-time, 24/7 — but before now, we provided the service only to clients with 10+ streams.
And now we've made music recognition for audio streams available to all of our users, for $45 per stream per month ($25 if you want your content to be recognized).
Read the API Docs for Streams or add your first stream.
MusicBrainz is an open collaborative music database with metadata for tens of millions of songs.
We've integrated the MusicBrainz DB, so you can easily get all the information they have.
To access the MusicBrainz metadata, just send
musicbrainz in the return parameter.
You don't have to parse it anymore
Instagram, Twitter, TikTok, Facebook, OpenGraph, JSON-LD,
<audio> are supported.
Now you don't have to parse HTML pages. We've done this for you.We've integrated APIs of the social networks and a bit of code so you can send us URLs of the pages instead of doing a lot of parsing yourself and sending audio files.
Use it just like this: api.audd.io/?url=https://twitter.com/Vicetone/status/1247556387544035329.
Most of the Instagram, Twitter, TikTok and Facebook videos are supported; we also parse HTML for OpenGraph, JSON-LD media, and
Lis.tn song pages
We’re launching Lis.tn: a new generation of song pages with links to all the music services.
Example of such a page: lis.tn/Warriors.
To create a page, just send an API request with
return=song_link, e.g. api.audd.io/?url=https://audd.tech/example1.mp3&return=song_link.
If you're interested in the album pages like lis.tn/ThePulse or want to be able to customize the links or view the statistics of a page, contact us: [email protected], tg:@AudDhelp.
API Developer Dashboard
We’re launching our own really simple API dashboard right in our Telegram bot: t.me/auddbot?start=api.
Developers can now obtain an api_token, enjoy the trial period, and pay for one of our plans without leaving Telegram.
AudD in TOP-12 Machine Learning APIs
We're proud to be in top-12 Machine Learning APIs by ProgrammableWeb!
Apple Music integration
We've become official partners of Apple Music.
You can now use
apple_music instead of
itunes in the
return parameter and get more accurate and complete results than before.
Just compare the results of api.audd.io/?url=...&return=apple_music and api.audd.io/?url=...&return=itunes requests :)
+ Genre names (localized: if you send itunes_country=ru or market=ru, you'll get Russian words)
+ Composer names
+ Detailed information about the artwork (including text and background colors!)
+ Apple Music links
- iTunes track pricing
- iTunes links
P.S.: If you want to view beautiful JSON responses in your browser, we would recommend this extension
Now you can add
,spotify to the
return parameter to get Spotify metadata (including the album, song, artwork information, and links) about the recognized songs.
Our Chrome extension already supports Spotify links.
Real-time recognition of music from audio streams
A month ago we built and tested real-time music recognition service for audio streams. Now we're ready to present it publicly.
From mid-July, TopHit (Wikipedia) uses our API to recognize music from hundreds of audio streams. Guys from TopHit are pleased with the quality of our music recognition service.
The API is very simple: a client provides an URL for webhooks and then can add (by posting url and id of a stream), edit, delete or lists all the streams. Our server listens to the streams and sends webhooks with info about the songs being played (and about streams availability).
The service costs $45 per audio stream if you use our music DB containing 43 million songs or $25 per audio stream if you upload your own songs DB (you can provide just audios IDs, you don't have to send any titles, names or other metadata).
To use our music recognition services or to ask any questions, please contact [email protected]
Enterprise endpoint: large audios, UPC&ISRC codes
If you need to send large (up to 1GB) audio files with a lot of songs inside, send us an email ([email protected]).
Also, enterprise clients can get ISRCs and UPCs.
Async websockets support
Now we support asynchronous websocket requests.
Connect to wss://api.audd.io/ws/?api_token=[token] and send multiple requests (send files in binary form) without waiting for server's responses/results.
We have created a bot for Twitter.
🤖 recognizes music in videos, when someone mentions it in a tweet with a video or in reply to such a tweet.
Now we accept videos [test feature]
Now our API recognizes music from audio tracks of video files (<32MB .mp4).
We have completely rewritten our services from PHP+Python to Golang and implemented a lot of cool things. We'll post the changes and news we're excited about here.
New 'all' and updated 'return'
We've added the "all" parameter, that allows you to see all matched songs in audio files.
Usage example: YouTube Recognizer.
Also instead of sending
return=itunes_audios,deezer_audios,... or even
&return_itunes_audios=true&... you should simply send