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SnapOtterandGitHub
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Landing: - Preload the Bricolage display font (LCP heading) to cut first paint - Cap tool-page meta descriptions at ~160 chars via whole-sentence truncation, so SERP snippets no longer overflow or cut mid-phrase - Drop dead HowTo + FAQPage JSON-LD from tool pages (Google removed HowTo rich results in 2023 and FAQ rich results in 2026); the visible content stays. Breadcrumb + WebApplication schema retained - Shorten 22 tool titles that exceeded the ~60-char SERP limit - Add an optional h1 override to tool SEO data - Rewrite adjust-colors, smart-crop, and ringtone-maker to match real Search Console query intent (saturation; object-aware cropping; convert audio to ringtone), with query-matched H1s and FAQs Docs: - Add meta descriptions to 20 pages missing frontmatter Repo: - Ignore local credential JSON files (.secrets/, *client_secret*, *service_account*)
81 lines
2.4 KiB
Markdown
81 lines
2.4 KiB
Markdown
---
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description: Upscale images 2x to 4x with Real-ESRGAN AI super-resolution while preserving fine detail.
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---
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# Image Upscaling
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AI super-resolution enhancement using Real-ESRGAN. Upscales images 2x-4x while preserving detail.
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## API Endpoint
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`POST /api/v1/tools/image/upscale`
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**Processing:** Asynchronous (returns 202, poll `/api/v1/jobs/{jobId}/progress` for status via SSE)
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**Model bundle:** `upscale-enhance` (4-5 GB)
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## Parameters
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| Parameter | Type | Required | Default | Description |
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|-----------|------|----------|---------|-------------|
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| file | file | Yes | - | Image file (multipart) |
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| scale | number | No | `2` | Upscale factor (e.g., 2, 3, 4) |
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| model | string | No | `"auto"` | Model to use (e.g., `auto`, specific model names) |
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| faceEnhance | boolean | No | `false` | Apply face enhancement during upscaling |
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| denoise | number | No | `0` | Denoising strength (0 = off) |
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| format | string | No | `"auto"` | Output format: `auto`, `png`, `jpg`, `webp`, `tiff`, `gif`, `avif`, `heic`, `heif`, `jxl` |
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| quality | number | No | `95` | Output quality (1-100) |
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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/upscale \
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-F "file=@photo.jpg" \
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-F 'settings={"scale":4,"model":"auto","faceEnhance":true,"format":"png"}'
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```
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## Response
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### Initial Response (202 Accepted)
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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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### Progress (SSE at `/api/v1/jobs/{jobId}/progress`)
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```
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event: progress
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data: {"phase":"processing","stage":"Upscaling...","percent":60}
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```
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### Final Result (via SSE)
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```json
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{
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"phase": "complete",
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"percent": 100,
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"result": {
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"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
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"downloadUrl": "/api/v1/download/{jobId}/photo_4x.png",
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"previewUrl": "/api/v1/download/{jobId}/preview.webp",
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"originalSize": 120000,
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"processedSize": 2400000,
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"width": 4096,
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"height": 4096,
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"method": "realesrgan-x4plus"
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}
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}
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```
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## Notes
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- Requires the `upscale-enhance` model bundle to be installed (4-5 GB).
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- Uses Real-ESRGAN when available; falls back to Lanczos interpolation if the AI model is unavailable.
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- The `faceEnhance` option applies GFPGAN face restoration during upscaling for better face quality.
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- For non-browser-previewable output formats (HEIC, JXL, TIFF), a WebP preview is generated alongside the main output.
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- Supports HEIC/HEIF, RAW, TGA, PSD, EXR, and HDR input formats via automatic decoding.
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