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.
Idle
$0.001per run·~1000 / $1
AI Vocal Remover separates vocals and instrumentals from any audio track with a single click. Upload an audio file and get both the isolated vocal track and the instrumental track in seconds.
Perfect for karaoke creation, music production, remixing, and content workflows.
Clean separation Advanced source separation technology isolates vocals and instrumentals with minimal bleed or artifacts.
Both tracks at once Get the vocal and instrumental tracks simultaneously from a single request.
Works on any audio Songs, podcasts, live recordings, mixed tracks — the model handles a wide range of audio sources.
Fast and affordable Per-second billing means you only pay for exactly what you process.
| Parameter | Required | Description |
|---|---|---|
| audio | Yes | Input audio file to process (URL or file upload). |
$0.001 per second of input audio.
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/audio-vocal-isolator with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Audio Vocal Isolator below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/audio-vocal-isolator" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"audio": "https://example.com/your-audio.mp3"
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/audio-vocal-isolator", {
"audio": "https://example.com/your-audio.mp3"
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/audio-vocal-isolator",
{
"audio": "https://example.com/your-audio.mp3"
}
)
print(output["outputs"][0]) # → URL of the generated outputAudio Vocal Isolator is a WaveSpeedAI model for AI inference, exposed as a REST API 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. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/audio-vocal-isolator.
Audio Vocal Isolator starts at $0.001 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `audio`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/audio-vocal-isolator.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.