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SnapOtter d24e244af4 docs: organize tool pages by modality under /tools/<modality>/

Move all 157 tool pages into image/video/audio/pdf/data subfolders so URLs read /tools/<modality>/<id> (e.g. /tools/image/crop). Nest the image sub-categories under an Image group in the sidebar so the nav reads by modality. Add public/_redirects (301, clean + .html forms) mapping every old flat /tools/<id> URL to its new path so inbound links keep working. Rewrite all internal /tools links. Verified with a clean docs build (no dead links).

2026-06-18 14:12:28 +08:00

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description

description
Blur the background while keeping the subject sharp using AI.

Blur Background

Blur the background of an image while keeping the subject sharp. The AI model isolates the subject, applies a blur to the original background, and composites the sharp subject on top.

API Endpoint

POST /api/v1/tools/image/blur-background

Accepts multipart form data with an image file and a JSON settings field.

Parameters

Parameter	Type	Required	Default	Description
intensity	integer	No	`50`	Blur intensity (1-100)
feather	integer	No	`0`	Edge feathering radius (0-20)
format	string	No	`"png"`	Output format: `png` or `webp`

Example Request

curl -X POST http://localhost:1349/api/v1/tools/image/blur-background \
  -H "Authorization: Bearer si_your-api-key" \
  -F "file=@photo.jpg" \
  -F 'settings={"intensity": 75, "feather": 3}'

Example Response

{
  "jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "async": true
}

Track progress via SSE at GET /api/v1/jobs/{jobId}/progress. When the job completes, the SSE stream emits a completed event with the download URL.

Notes

This is an AI-powered tool that returns 202 Accepted and processes asynchronously. Connect to the SSE endpoint to receive progress updates and the final result.
Requires the background-removal feature bundle to be installed. Returns 501 if the bundle is not available.
Higher intensity values produce a stronger blur effect. Values above 80 create a pronounced bokeh-like separation.
HEIC, RAW, PSD, and SVG inputs are automatically decoded before processing.

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