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Reconcile every tool page's parameters, defaults, and response shape against the tool's Zod settings schema and executionHint in code. Notable fixes: color-palette (add count + format params, hex output, median-cut algorithm), favicon (add 5 params, was documented as having none), qr-generate (add logoDataUri), convert (add ppm/eps/tga formats), video-loudnorm (-16 LUFS not -14), smart-crop (async 202 not sync 200), images-to-video (1080x1080 square), and several output-filename and behavior-note corrections. Also normalize API endpoint paths to /api/v1/tools/<id> (no modality segment) and standardize curl examples on the Docker API port 1349. Verified with a clean docs build.
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1.2 KiB
description
| description |
|---|
| Reduce background noise from audio with FFT-based denoising. |
Noise Reduction
Reduce background noise in an audio file using FFT-based denoising with selectable strength.
API Endpoint
POST /api/v1/tools/noise-reduction
Accepts multipart form data with an audio file and a JSON settings field.
Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| strength | string | No | "medium" |
Denoising strength: light, medium, strong |
Example Request
curl -X POST http://localhost:1349/api/v1/tools/noise-reduction \
-H "Authorization: Bearer si_your-api-key" \
-F "file=@audio.mp3" \
-F 'settings={"strength": "strong"}'
Example Response
{
"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"downloadUrl": "/api/v1/download/a1b2c3d4-e5f6-7890-abcd-ef1234567890/audio.mp3",
"originalSize": 4500000,
"processedSize": 4500000
}
Notes
lightpreserves more detail but removes less noise.strongremoves more noise but may introduce subtle artifacts.- Best results on recordings with consistent background noise (fan hum, air conditioning, static).
- Output format matches the input format.