Documentation Index Fetch the complete documentation index at: https://old-docs.kie.ai/llms.txt
Use this file to discover all available pages before exploring further.
When you submit a MIDI generation task to the Suno API, you can use the callBackUrl parameter to set a callback URL. The system will automatically push the results to your specified address when the task is completed.
Callback Mechanism Overview
The callback mechanism eliminates the need to poll the API for task status. The system will proactively push task completion results to your server.
Webhook Security : To ensure the authenticity and integrity of callback requests, we strongly recommend implementing webhook signature verification. See our Webhook Verification Guide for detailed implementation steps.
Callback Timing
The system will send callback notifications in the following situations:
MIDI generation task completed successfully
MIDI generation task failed
Errors occurred during task processing
Callback Method
HTTP Method : POST
Content Type : application/json
Timeout Setting : 15 seconds
When the task is completed, the system will send a POST request to your callBackUrl:
Success Callback
Failure Callback
{
"code" : 200 ,
"msg" : "success" ,
"data" : {
"state" : "complete" ,
"taskId" : "5c79****be8e" ,
"instruments" : [
{
"name" : "Drums" ,
"notes" : [
{
"pitch" : 73 ,
"start" : "0.036458333333333336" ,
"end" : "0.18229166666666666" ,
"velocity" : 1
},
{
"pitch" : 61 ,
"start" : 0.046875 ,
"end" : "0.19270833333333334" ,
"velocity" : 1
},
{
"pitch" : 73 ,
"start" : 0.1875 ,
"end" : "0.4895833333333333" ,
"velocity" : 1
}
]
},
{
"name" : "Electric Bass (finger)" ,
"notes" : [
{
"pitch" : 44 ,
"start" : 7.6875 ,
"end" : "7.911458333333333" ,
"velocity" : 1
},
{
"pitch" : 56 ,
"start" : 7.6875 ,
"end" : "7.911458333333333" ,
"velocity" : 1
},
{
"pitch" : 51 ,
"start" : 7.6875 ,
"end" : "7.911458333333333" ,
"velocity" : 1
}
]
}
]
}
}
Status Code Description
Callback status code indicating task processing result: Status Code Description 200 Success - MIDI generation completed successfully 500 Internal Error - Please try again or contact support
Status message providing detailed status description
Task ID, consistent with the taskId returned when you submitted the task
MIDI generation result information, returned on success
Success Response Fields
Processing state. Value: complete when successful
Array of detected instruments with their MIDI note data Show Instrument Object Properties
Instrument name (e.g., “Drums”, “Electric Bass (finger)”, “Acoustic Grand Piano”)
Array of MIDI notes for this instrument Show Note Object Properties
Note start time in seconds from beginning of audio
Note end time in seconds from beginning of audio
Note velocity/intensity (0-1 range). 1 = maximum velocity
Callback Reception Examples
Below are example codes for receiving callbacks in popular programming languages:
const express = require ( 'express' );
const app = express ();
app . use ( express . json ());
app . post ( '/suno-midi-callback' , ( req , res ) => {
const { code , msg , taskId , data } = req . body ;
console . log ( 'Received MIDI generation callback:' , {
taskId: taskId ,
status: code ,
message: msg
});
if ( code === 200 ) {
// Task completed successfully
console . log ( 'MIDI generation completed' );
if ( data && data . instruments ) {
console . log ( `Detected ${ data . instruments . length } instruments` );
data . instruments . forEach ( instrument => {
console . log ( ` \n Instrument: ${ instrument . name } ` );
console . log ( ` Note count: ${ instrument . notes . length } ` );
// Process each note
instrument . notes . forEach (( note , idx ) => {
if ( idx < 3 ) { // Show first 3 notes as example
console . log ( ` Note ${ idx + 1 } : Pitch ${ note . pitch } , ` +
`Start ${ note . start } s, End ${ note . end } s, ` +
`Velocity ${ note . velocity } ` );
}
});
});
// Save MIDI data to database or file
// processMidiData(taskId, data);
}
} else {
// Task failed
console . log ( 'MIDI generation failed:' , msg );
// Handle failure scenarios...
}
// Return 200 status code to confirm callback received
res . status ( 200 ). json ({ status: 'received' });
});
app . listen ( 3000 , () => {
console . log ( 'Callback server running on port 3000' );
});
from flask import Flask, request, jsonify
import json
app = Flask( __name__ )
@app.route ( '/suno-midi-callback' , methods = [ 'POST' ])
def handle_callback ():
data = request.json
code = data.get( 'code' )
msg = data.get( 'msg' )
taskId = data.get( 'taskId' )
callback_data = data.get( 'data' , {})
print ( f "Received MIDI generation callback: { taskId } , status: { code } , message: { msg } " )
if code == 200 :
# Task completed successfully
print ( "MIDI generation completed" )
if callback_data and 'instruments' in callback_data:
instruments = callback_data[ 'instruments' ]
print ( f "Detected { len (instruments) } instruments" )
for instrument in instruments:
name = instrument.get( 'name' )
notes = instrument.get( 'notes' , [])
print ( f " \n Instrument: { name } " )
print ( f " Note count: { len (notes) } " )
# Process each note
for idx, note in enumerate (notes[: 3 ]): # Show first 3 notes
print ( f " Note { idx + 1 } : Pitch { note[ 'pitch' ] } , "
f "Start { note[ 'start' ] } s, End { note[ 'end' ] } s, "
f "Velocity { note[ 'velocity' ] } " )
# Save MIDI data to file
with open ( f "midi_ { taskId } .json" , "w" ) as f:
json.dump(callback_data, f, indent = 2 )
print ( f "MIDI data saved to midi_ { taskId } .json" )
else :
# Task failed
print ( f "MIDI generation failed: { msg } " )
# Handle failure scenarios...
# Return 200 status code to confirm callback received
return jsonify({ 'status' : 'received' }), 200
if __name__ == '__main__' :
app.run( host = '0.0.0.0' , port = 3000 )
<? php
header ( 'Content-Type: application/json' );
// Get POST data
$input = file_get_contents ( 'php://input' );
$data = json_decode ( $input , true );
$code = $data [ 'code' ] ?? null ;
$msg = $data [ 'msg' ] ?? '' ;
$taskId = $data [ 'taskId' ] ?? '' ;
$callbackData = $data [ 'data' ] ?? null ;
error_log ( "Received MIDI generation callback: $taskId , status: $code , message: $msg " );
if ( $code === 200 ) {
// Task completed successfully
error_log ( "MIDI generation completed" );
if ( $callbackData && isset ( $callbackData [ 'instruments' ])) {
$instruments = $callbackData [ 'instruments' ];
error_log ( "Detected " . count ( $instruments ) . " instruments" );
foreach ( $instruments as $instrument ) {
$name = $instrument [ 'name' ] ?? '' ;
$notes = $instrument [ 'notes' ] ?? [];
error_log ( "Instrument: $name " );
error_log ( " Note count: " . count ( $notes ));
// Process first 3 notes as example
foreach ( array_slice ( $notes , 0 , 3 ) as $idx => $note ) {
error_log ( sprintf (
" Note %d: Pitch %d, Start %ss, End %ss, Velocity %s" ,
$idx + 1 ,
$note [ 'pitch' ],
$note [ 'start' ],
$note [ 'end' ],
$note [ 'velocity' ]
));
}
}
// Save MIDI data to file
$filename = "midi_ $taskId .json" ;
file_put_contents ( $filename , json_encode ( $callbackData , JSON_PRETTY_PRINT ));
error_log ( "MIDI data saved to $filename " );
}
} else {
// Task failed
error_log ( "MIDI generation failed: $msg " );
// Handle failure scenarios...
}
// Return 200 status code to confirm callback received
http_response_code ( 200 );
echo json_encode ([ 'status' => 'received' ]);
?>
Best Practices
Callback URL Configuration Recommendations
Use HTTPS : Ensure callback URL uses HTTPS protocol for secure data transmission
Verify Origin : Verify the legitimacy of the request source in callback processing
Idempotent Processing : The same taskId may receive multiple callbacks, ensure processing logic is idempotent
Quick Response : Callback processing should return 200 status code quickly to avoid timeout
Asynchronous Processing : Complex business logic (like MIDI file conversion) should be processed asynchronously
Handle Missing Instruments : Not all instruments may be detected - handle empty or missing instrument arrays gracefully
Store Raw Data : Save the complete JSON response for future reference and reprocessing
Important Reminders
Callback URL must be publicly accessible
Server must respond within 15 seconds, otherwise will be considered timeout
If 3 consecutive retry attempts fail, the system will stop sending callbacks
Please ensure the stability of callback processing logic to avoid callback failures due to exceptions
MIDI data is retained for 14 days - download and save promptly if needed long-term
The number and types of instruments detected depends on audio content
Note times (start/end) may be strings or numbers - handle both types
Troubleshooting
If you are not receiving callback notifications, please check the following:
Network Connection Issues
Confirm callback URL is accessible from public internet
Check firewall settings to ensure inbound requests are not blocked
Verify domain name resolution is correct
Ensure server returns HTTP 200 status code within 15 seconds
Check server logs for error messages
Verify endpoint path and HTTP method are correct
Confirm received POST request body is in JSON format
Check if Content-Type is application/json
Verify JSON parsing is correct
Handle both string and number types for timing values
Some instruments may have empty note arrays
Not all audio will detect all instrument types
Verify the original vocal separation used split_stem type (not separate_vocal)
Check that the source taskId is from a successfully completed separation
Alternative Solutions
If you cannot use the callback mechanism, you can also use polling:
Poll Query Results Use the Get MIDI Generation Details endpoint to periodically query task status. We recommend querying every 10-30 seconds.