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.
We're proud to be in top-12 Machine Learning APIs by ProgrammableWeb!
We've became 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.
+ 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.
A month ago we built and tested real-time music recognition service for audio streams. Now we're ready to present it publicly.
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]
We've created enterprise endpoint.
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 ISRC and UPC codes.
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 tweet with a video or in reply to such a tweet.
Now our API recognizes music from audio tracks of video files (<32MB .mp4).
We've added "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
We have completely rewrote our services from PHP+Python to Golang and implemented a lot of cool things.