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feat(i18n): 21-language pipeline, landing/docs/API wiring, landing+API translations

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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.
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SnapOtter
2026-07-11 13:01:55 +08:00
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commit 00b651c9f8
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apps/docs/tools/image/red-eye-removal.md
+9 -9
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@@ -2,11 +2,11 @@
description: AI-powered detection and correction of red eye caused by camera flash.
---
# Red Eye Removal
# Red Eye Removal {#red-eye-removal}
AI-powered detection and correction of red eye caused by camera flash.
## API Endpoint
## API Endpoint {#api-endpoint}
`POST /api/v1/tools/image/red-eye-removal`
@@ -14,7 +14,7 @@ AI-powered detection and correction of red eye caused by camera flash.
**Model bundle:** `face-detection` (200-300 MB)
## Parameters
## Parameters {#parameters}
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
@@ -24,7 +24,7 @@ AI-powered detection and correction of red eye caused by camera flash.
| format | string | No | - | Output format (optional override) |
| quality | number | No | `90` | Output quality (1-100) |
## Example Request
## Example Request {#example-request}
```bash
curl -X POST http://localhost:1349/api/v1/tools/image/red-eye-removal \
@@ -32,9 +32,9 @@ curl -X POST http://localhost:1349/api/v1/tools/image/red-eye-removal \
-F 'settings={"sensitivity":60,"strength":80}'
```
## Response
## Response {#response}
### Initial Response (202 Accepted)
### Initial Response (202 Accepted) {#initial-response-202-accepted}
```json
{
@@ -43,14 +43,14 @@ curl -X POST http://localhost:1349/api/v1/tools/image/red-eye-removal \
}
```
### Progress (SSE at `/api/v1/jobs/{jobId}/progress`)
### Progress (SSE at `/api/v1/jobs/{jobId}/progress`) {#progress-sse-at-api-v1-jobs-jobid-progress}
```
event: progress
data: {"phase":"processing","stage":"Detecting red eyes...","percent":40}
```
### Final Result (via SSE)
### Final Result (via SSE) {#final-result-via-sse}
```json
{
@@ -67,7 +67,7 @@ data: {"phase":"processing","stage":"Detecting red eyes...","percent":40}
}
```
## Notes
## Notes {#notes}
- Requires the `face-detection` model bundle to be installed (200-300 MB).
- First detects faces, then locates eye regions within each face, and finally identifies and corrects red-eye pixels.