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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).
49 lines
1.7 KiB
Markdown
49 lines
1.7 KiB
Markdown
---
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description: Blur the background while keeping the subject sharp using AI.
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---
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# Blur Background
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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.
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## API Endpoint
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`POST /api/v1/tools/image/blur-background`
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Accepts multipart form data with an image file and a JSON `settings` field.
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## Parameters
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| Parameter | Type | Required | Default | Description |
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|-----------|------|----------|---------|-------------|
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| intensity | integer | No | `50` | Blur intensity (1-100) |
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| feather | integer | No | `0` | Edge feathering radius (0-20) |
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| format | string | No | `"png"` | Output format: `png` or `webp` |
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## Example Request
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```bash
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curl -X POST http://localhost:1349/api/v1/tools/image/blur-background \
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-H "Authorization: Bearer si_your-api-key" \
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-F "file=@photo.jpg" \
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-F 'settings={"intensity": 75, "feather": 3}'
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```
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## Example Response
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```json
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{
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"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
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"async": true
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}
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```
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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.
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## Notes
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- 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.
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- Requires the **background-removal** feature bundle to be installed. Returns `501` if the bundle is not available.
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- Higher intensity values produce a stronger blur effect. Values above 80 create a pronounced bokeh-like separation.
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- HEIC, RAW, PSD, and SVG inputs are automatically decoded before processing.
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