Media
Measure and adjust vocal level relative to an instrumental bed, with a transparent loudness report.
Call this tool from your code in three languages.
# 1) Request a presigned URL → returns { uploadUrl, storageKey }
curl -X POST 'https://api.elysiatools.com/api/upload/presign/audio-vocal-instrumental-balance' \
-H 'Content-Type: application/json' \
-d '{"filename":"audioFile.ext","contentType":"application/octet-stream","size":12345}'
curl -X POST 'https://api.elysiatools.com/api/upload/presign/audio-vocal-instrumental-balance' \
-H 'Content-Type: application/json' \
-d '{"filename":"vocalFile.ext","contentType":"application/octet-stream","size":12345}'
curl -X POST 'https://api.elysiatools.com/api/upload/presign/audio-vocal-instrumental-balance' \
-H 'Content-Type: application/json' \
-d '{"filename":"instrumentalFile.ext","contentType":"application/octet-stream","size":12345}'
# 2) PUT the file bytes directly to the presigned uploadUrl
curl -X PUT '<presigned uploadUrl>' \
--data-binary @/path/to/file.ext
# 3) Call the tool, passing the returned storageKey for each file field
curl -X POST 'https://api.elysiatools.com/en/api/tools/audio-vocal-instrumental-balance' \
-F 'audioFile=uploads/2026/01/01/your-tool-1700000000000-abc123.ext' \
-F 'vocalFile=tests/fixtures/audio-to-text-transcriber-english.flac' \
-F 'instrumentalFile=tests/fixtures/audio-to-text-transcriber-english.flac' \
-F 'sourceMode=stems' \
-F 'vocalOffsetDb=3' \
-F 'normalizeFinalLoudness=false' \
-F 'targetLufs=-16' \
-F 'outputFormat=mp3'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/audio-vocal-instrumental-balance| Name | Type | Required | Description |
|---|---|---|---|
| audioFile | fileupload required | No | — |
| vocalFile | fileupload required | No | — |
| instrumentalFile | fileupload required | No | — |
| sourceMode | select | No | — |
| vocalOffsetDb | number | No | — |
| normalizeFinalLoudness | checkbox | No | — |
| targetLufs | number | No | — |
| outputFormat | select | No | — |
File result
{
"filePath": "/public/processing/randomid.ext",
"fileName": "output.ext",
"contentType": "application/octet-stream",
"size": 1024,
"metadata": {
"key": "value"
},
"error": "Error message (optional)",
"message": "Notification message (optional)"
}Add this tool to your Model Context Protocol server so AI agents can list and call it.
Add this block to your MCP client configuration:
{
"mcpServers": {
"elysiatools-audio-vocal-instrumental-balance": {
"name": "audio-vocal-instrumental-balance",
"description": "Measure and adjust vocal level relative to an instrumental bed, with a transparent loudness report.",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=audio-vocal-instrumental-balance",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}After connecting to the SSE endpoint, list the exposed tools:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}Invoke the tool by its id, passing arguments built from its parameters:
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "audio-vocal-instrumental-balance",
"arguments": {
"audioFile": "https://example.com/file.ext",
"vocalFile": "tests/fixtures/audio-to-text-transcriber-english.flac",
"instrumentalFile": "tests/fixtures/audio-to-text-transcriber-english.flac",
"sourceMode": "stems",
"vocalOffsetDb": 3,
"normalizeFinalLoudness": false,
"targetLufs": -16,
"outputFormat": "mp3"
}
}
}Questions or issues? Contact [email protected]