Description
n8n-nodes-stemsplit



Separate vocals, drums, bass, and other stems from any audio file — or remove background noise from voice recordings — directly inside N8N. n8n-nodes-stemsplit connects your workflows to the StemSplit API, letting you remove vocals from a song, isolate instrumentals, extract drum tracks, split full 6-stem mixes, and clean up noisy recordings using DeepFilterNet — without any ML infrastructure.
Submit audio via URL, binary upload, YouTube video URL, or SoundCloud track URL, wait for processing, and get presigned download URLs — all as native N8N nodes.
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What It Does
Accepts audio via public URL, binary file upload, YouTube video URL, or SoundCloud track URL. Submits to the StemSplit API for processing. Returns presigned download URLs for each output.
Stem Separation
| Operation | When to use it |
|———–|—————-|
| Separate Stems (Wait) | You want vocals, drums, bass, etc. back immediately in the same workflow — submits and polls until complete |
| Separate Stems | Fire-and-forget — submit many jobs in parallel and poll status later |
| Get Job | Check status or retrieve output URLs for a previously submitted job |
| List Jobs | Browse job history or filter by status |
Outputs presigned download URLs for: vocals · instrumental · drums · bass · piano · guitar · other
Voice Cleaner (Noise Removal)
| Operation | When to use it |
|———–|—————-|
| Clean Voice (Wait) | Remove background noise, hum, hiss, or echo from a recording — submits and polls until complete |
| Clean Voice | Fire-and-forget — submit a denoise job and poll status later |
| Get Voice Cleaner Job | Check status or retrieve the download URL for a previously submitted denoise job |
| List Voice Cleaner Jobs | Browse denoise job history or filter by status |
Outputs a single presigned download URL for the cleaned audio file.
Account
| Operation | When to use it |
|———–|—————-|
| Get Balance | Check remaining credits before a batch run |
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Installation
Via the N8N Community Nodes UI
1. Open Settings → Community Nodes
2. Click Install a community node
3. Enter n8n-nodes-stemsplit
4. Click Install
Via npm (self-hosted N8N)
npm install n8n-nodes-stemsplit
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Credentials
1. Go to stemsplit.io/app/settings/api and generate an API key (format: sklive...).
2. In N8N, add a new StemSplit API credential and paste your key.
The node sends Authorization: Bearer on every request to https://stemsplit.io/api/v1.
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Operations
Separate Stems
Submits audio for processing and returns immediately with a job ID. Use this when you want to submit many jobs in parallel and poll status later with Get Job.
Input source:
- Binary File — pass audio as a binary N8N item (from an HTTP Request, Read Binary File, or any binary-capable node)
- URL — provide a publicly accessible URL; StemSplit fetches it server-side
- YouTube URL — paste any YouTube video URL; outputs vocals + instrumental (MP3, best quality)
- SoundCloud URL — paste any SoundCloud track URL; outputs vocals + instrumental (MP3, best quality)
- Binary File — pass audio as a binary N8N item (from an HTTP Request, Read Binary File, or any binary-capable node)
- URL — provide a publicly accessible URL; StemSplit fetches it server-side
- YouTube URL — paste any YouTube video URL; outputs vocals + instrumental (MP3, best quality)
- SoundCloud URL — paste any SoundCloud track URL; outputs vocals + instrumental (MP3, best quality)
vocalsUrl/vocalsExpiresAtinstrumentalUrl/instrumentalExpiresAtdrumsUrl,bassUrl,otherUrl,pianoUrl,guitarUrl(when applicable)
> Note: For YouTube and SoundCloud inputs, Output Type, Quality, and Format options are fixed (Vocals + Instrumental, Best quality, MP3). The node ignores those fields if set.
Parameters:
| Parameter | Default | Description |
|———–|———|————-|
| Output Type | VOCALS + Instrumental | Which stems to extract (see Output Types below) |
| Quality | Best | Processing quality: Fast, Balanced, or Best |
| Output Format | MP3 | Output file format: MP3, WAV, or FLAC |
| File Name | (auto) | Override the job’s display name |
| Denoise Vocals | false | Run the extracted vocals stem through Voice Cleaner (DeepFilterNet) after separation |
| Metadata | {} | Custom JSON echoed back in all job responses |
Output fields: id, status, progress, creditsRequired, estimatedSeconds, createdAt, options, input, metadata
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Separate Stems (Wait for Completion)
Submits audio and polls until the job reaches COMPLETED — or throws on FAILED or timeout. Returns presigned download URLs for every stem.
Input source:
> Note: For YouTube and SoundCloud inputs, Output Type, Quality, and Format options are fixed (Vocals + Instrumental, Best quality, MP3). The node ignores those fields if set.
Additional parameters:
| Parameter | Default | Description |
|———–|———|————-|
| Timeout (Seconds) | 600 | Give up after this many seconds |
| Poll Interval (Seconds) | 5 | How often to check job status |
Additional output fields:
> Note: Presigned URLs expire 1 hour after job completion. Output files are deleted 14 days after creation.
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Get Job
Fetch a single stem separation job by ID. Returns the same fields as Separate Stems (Wait), including all available output URLs.
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List Jobs
Returns a paginated list of stem separation jobs. Optional status filter (PENDING, PROCESSING, COMPLETED, FAILED) and pagination via limit/offset.
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Clean Voice (Wait for Completion)
Submits audio for noise removal using StemSplit Voice Cleaner (powered by DeepFilterNet) and polls until complete. Ideal for cleaning podcast recordings, dialogue, vocals, or any audio with background noise, hum, hiss, or echo.
Input source: Binary File or URL (no YouTube/SoundCloud).
Parameters:
| Parameter | Default | Description |
|———–|———|————-|
| Output Format | MP3 | Output file format: MP3, WAV, or FLAC |
| Timeout (Seconds) | 600 | Give up after this many seconds |
| Poll Interval (Seconds) | 5 | How often to check job status |
| File Name | (auto) | Override the job’s display name |
Output fields: id, status, creditsCharged, completedAt, input, options, audioUrl, audioExpiresAt
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Clean Voice
Submits audio for noise removal and returns immediately with a job ID. Poll status later with Get Voice Cleaner Job.
Output fields: id, status, progress, creditsRequired, estimatedSeconds, createdAt, options, input
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Get Voice Cleaner Job
Fetch a single voice cleaner job by ID. When status is COMPLETED, the response includes audioUrl — a presigned download link for the cleaned audio file (expires in 1 hour).
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List Voice Cleaner Jobs
Returns a paginated list of voice cleaner jobs. Optional status filter and pagination via limit/offset.
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Get Balance
Returns your current credit balance:
{
"balanceSeconds": 3600,
"balanceMinutes": 60,
"balanceFormatted": "60 minutes",
"updatedAt": "2026-05-21T00:00:00Z"
}
Credit model: 1 credit = 1 second of audio. Credits are deducted at job submission. If your balance is insufficient, the node throws a 402 INSUFFICIENT_CREDITS error.
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Output Types
| Value | Stems produced |
|——-|—————|
| VOCALS | Vocals only |
| INSTRUMENTAL | Instrumental only |
| BOTH | Vocals + Instrumental |
| FOUR_STEMS | Vocals, Drums, Bass, Other |
| SIX_STEMS | Vocals, Drums, Bass, Other, Piano, Guitar (requires Best quality) |
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Supported Audio Formats
Input: mp3, wav, flac, m4a, ogg, webm, aac, wma
Max file size: 50 MB
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Example Workflows
Basic vocal remover pipeline
[HTTP Request: download audio]
→ [StemSplit: Separate Stems (Wait)]
→ [HTTP Request: download vocals URL]
→ [Write Binary File: save vocals.mp3]
Batch stem splitter from local files
[Read Binary File: song.mp3]
→ [StemSplit: Separate Stems (Wait), Output: SIX_STEMS]
→ [Split In Batches]
→ [HTTP Request: upload each stem to S3]
YouTube stem separator
[StemSplit: Separate Stems (Wait), Input: YouTube URL]
→ [HTTP Request: download vocals URL]
→ [Write Binary File: save vocals.mp3]
Clean up a podcast recording
[Read Binary File: episode.mp3]
→ [StemSplit: Clean Voice (Wait)]
→ [HTTP Request: download audioUrl]
→ [Write Binary File: save episode_denoised.mp3]
Separate stems and denoise vocals in one shot
[HTTP Request: download song]
→ [StemSplit: Separate Stems (Wait), Denoise Vocals: true]
→ [HTTP Request: download denoised vocalsUrl]
Fire-and-forget with webhook callback
[Webhook trigger]
→ [StemSplit: Separate Stems] ← returns job ID instantly
→ [Set: store job ID in DB]
→ [Cron: poll every 30s via Get Job]
→ [IF: status === COMPLETED]
→ [HTTP Request: notify downstream service]
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Why StemSplit?
StemSplit runs state-of-the-art source separation models (HTDemucs) and noise removal models (DeepFilterNet) on GPU infrastructure purpose-built for audio. If you need to separate vocals online or remove background noise without managing your own ML stack, StemSplit’s API gives you:
Full API docs: stemsplit.io/docs/api
OpenAPI spec: GET https://stemsplit.io/api/v1/openapi
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Requirements
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License
MIT © StemSplit