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SnapOtter/apps/docs/tools/image/blur-background.md
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SnapOtterandGitHub 00b651c9f8 feat(i18n): 21-language pipeline, landing/docs/API wiring, landing+API translations
Shared Claude Code translation pipeline (scripts/i18n, no API key) plus Astro/VitePress/Scalar i18n wiring. Landing and API reference translated into all 20 languages; docs i18n wiring + English source anchors. The translated docs markdown (apps/docs/<locale>/**, 3,620 files) follows in a companion PR because it exceeds GitHub's per-PR CI file limit.
2026-07-11 13:01:55 +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.