VEED Clean Audio cleans speech recordings with adjustable noise suppression and loudness control, improving voice clarity for podcasts, interviews, voiceovers, meetings, and audio production workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.014per run·~71 / $1
VEED Clean Audio improves speech recordings by reducing background noise and normalizing loudness for clearer, more consistent spoken audio. Upload an audio file or a video containing an audio track, adjust the suppression strength and target loudness if needed, and export the cleaned result as FLAC or WAV.
It is designed for interviews, podcasts, voiceovers, meetings, presentations, and other speech-focused recordings where background noise or uneven loudness reduces clarity.
Speech-focused cleanup
Reduce distracting background noise while keeping spoken content clear.
Adjustable noise suppression
Use strength to control how aggressively background noise and room tone are reduced.
Loudness normalization
Set a target loudness with target_lufs for more consistent playback levels.
Audio from video input
Process the audio track from a video file and return cleaned audio.
Lossless output options
Export the processed result as flac or wav.
Up to 30 minutes
Process recordings up to 30 minutes per request.
| Parameter | Required | Description |
|---|---|---|
| audio | Yes | Public URL of an audio recording or video containing an audio track. Maximum duration: 30 minutes. Maximum file size: 512 MB. |
| strength | No | Noise suppression strength from 0 to 1. Default: 0.874. |
| target_lufs | No | Target output loudness from -40 to -8 LUFS. Default: -19. |
| output_format | No | Output audio format: flac or wav. Default: flac. |
strength to control how much background noise is removed.target_lufs or keep the default -19.flac or wav.Pricing is $0.014 per billable minute.
Input duration is rounded to the nearest whole second and then rounded up to the next full minute, with a minimum billed duration of 1 minute.
| Input Duration | Billable Minutes | Price |
|---|---|---|
| 30 seconds | 1 | $0.014 |
| 60 seconds | 1 | $0.014 |
| 61 seconds | 2 | $0.028 |
| 5 minutes | 5 | $0.070 |
| 10 minutes | 10 | $0.140 |
| 30 minutes | 30 | $0.420 |
The minimum charge is $0.014 per request.
strength, target_lufs, and output_format do not add separate charges.
Supported input duration is up to 30 minutes. Over-limit inputs are rejected rather than automatically truncated.
strength before increasing noise suppression.strength when you want to preserve more natural room ambience.target_lufs close to your delivery platform's preferred loudness when consistency matters.wav for broad editing compatibility.flac when you want lossless audio with a smaller file size.audio is required.30 minutes.512 MB.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/veed/clean-audio with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Clean Audio below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3",
"strength": 0.874,
"target_lufs": -19,
"output_format": "flac"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/veed/clean-audio" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d "$REQUEST_BODY")
TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
-H "Authorization: Bearer $WAVESPEED_API_KEY")
RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
case "$STATUS" in
completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
esac
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/veed/clean-audio";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
async function requestJson(url, options = {}) {
const response = await fetch(url, options);
if (!response.ok) throw new Error(await response.text());
return response.json();
}
// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
method: "POST",
headers: {
"Authorization": `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3",
"strength": 0.874,
"target_lufs": -19,
"output_format": "flac"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;
// 2. Poll until the prediction finishes.
while (true) {
const resultBody = await requestJson(resultUrl, {
headers: { "Authorization": `Bearer ${apiKey}` },
});
const result = resultBody.data ?? resultBody;
if (result.status === "completed") {
console.log(result.outputs);
break;
}
if (["failed", "cancelled", "timeout", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
await new Promise(resolve => setTimeout(resolve, 2000));
}import json
import os
import time
from urllib.request import Request, urlopen
api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
"audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3",
"strength": 0.874,
"target_lufs": -19,
"output_format": "flac"
}
def request_json(url, data=None):
request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
with urlopen(request) as response:
return json.load(response)
# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/veed/clean-audio", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
raise RuntimeError("Submission response did not contain a prediction id")
result_url = f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"
# 2. Poll until the prediction finishes.
while True:
result_body = request_json(result_url)
result = result_body.get("data", result_body)
status = result.get("status")
if status == "completed":
print(result.get("outputs", []))
break
if status in {"failed", "cancelled", "timeout", "deleted"}:
raise RuntimeError(result)
time.sleep(2)Clean Audio is a Veed model for AI inference, exposed as a REST API on WaveSpeedAI. VEED Clean Audio cleans speech recordings with adjustable noise suppression and loudness control, improving voice clarity for podcasts, interviews, voiceovers, meetings, and audio production workflows. Ready-to-use REST inference API, best performance, 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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates Python, JavaScript, and cURL examples for submitting requests and polling results. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/veed/veed-clean-audio.
Clean Audio starts at $0.014 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`, `output_format`, `strength`, `target_lufs`. 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/veed/veed-clean-audio.
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 (Veed). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.