Ai Vocal Remover
Playground
Try it on WavespeedAI!AI Vocal Remover separates vocals from instrumental in any audio track. Upload an audio file and choose to extract vocals or instrumental. Ready-to-use REST inference API, no coldstarts, affordable pricing.
Features
AI Vocal Remover
AI Vocal Remover separates vocals and instrumentals from any audio track with a single click. Choose what you want to extract — the clean vocal track or the backing instrumental — and get a studio-quality separated file in seconds.
Perfect for karaoke creation, music production, remixing, and content workflows.
Why Choose This?
-
Clean separation Advanced source separation technology isolates vocals and instrumentals with minimal bleed or artifacts.
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Two extraction modes Extract exactly what you need — vocals only or instrumental only — with no extra processing steps.
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Works on any audio Songs, podcasts, live recordings, mixed tracks — the model handles a wide range of audio sources.
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Fast and affordable Per-second billing means you only pay for exactly what you process.
Parameters
| Parameter | Required | Description |
|---|---|---|
| audio | Yes | Input audio file to process (URL or file upload). |
| mode | No | What to extract: vocals (default) or instrumental. |
How to Use
- Upload your audio — provide the track you want to separate via URL or drag-and-drop.
- Select mode — choose vocals to extract the vocal track, or instrumental to extract the backing music.
- Submit — download your separated audio file.
Pricing
$0.001 per second of input audio.
Best Use Cases
- Karaoke creation — Strip out vocals to produce a clean instrumental backing track.
- Music production & remixing — Isolate vocals or instrumentals for sampling, remixing, and mashups.
- Content creation — Remove background music from recordings or extract a clean vocal for voiceover work.
- Practice & education — Isolate individual elements of a track to study arrangement or performance.
Pro Tips
- High-quality, well-mixed audio produces the cleanest separation results.
- Tracks with a strong stereo mix and clear frequency separation between vocals and instruments work best.
- Use vocals mode to get a clean a cappella track, and instrumental mode to get a karaoke-ready backing.
Notes
- audio is the only required field; mode defaults to vocals if not specified.
- Ensure audio URLs are publicly accessible if using a link rather than a direct upload.
- Pricing is based on the duration of the input audio at $0.001 per second.
- Please ensure your content complies with WaveSpeed AI’s usage policies.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ai-vocal-remover" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"mode": "vocals"
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| audio | string | Yes | - | - | The URL of the input audio file. |
| mode | string | No | vocals | vocals, instrumental | Output type: vocals (extract vocals) or instrumental (extract accompaniment). |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |