mirror of https://github.com/snapotter-hq/SnapOtter.git synced 2026-08-03 07:46:42 +02:00

Files

T

SnapOtterandGitHub ec98dfde9a feat(landing,docs): SEO fixes and query-matched tool pages (#383 )

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*)

2026-07-01 16:20:05 +08:00

2.4 KiB

Raw Blame History

description

description
Upscale images 2x to 4x with Real-ESRGAN AI super-resolution while preserving fine detail.

Image Upscaling

AI super-resolution enhancement using Real-ESRGAN. Upscales images 2x-4x while preserving detail.

API Endpoint

POST /api/v1/tools/image/upscale

Processing: Asynchronous (returns 202, poll /api/v1/jobs/{jobId}/progress for status via SSE)

Model bundle: upscale-enhance (4-5 GB)

Parameters

Parameter	Type	Required	Default	Description
file	file	Yes	-	Image file (multipart)
scale	number	No	`2`	Upscale factor (e.g., 2, 3, 4)
model	string	No	`"auto"`	Model to use (e.g., `auto`, specific model names)
faceEnhance	boolean	No	`false`	Apply face enhancement during upscaling
denoise	number	No	`0`	Denoising strength (0 = off)
format	string	No	`"auto"`	Output format: `auto`, `png`, `jpg`, `webp`, `tiff`, `gif`, `avif`, `heic`, `heif`, `jxl`
quality	number	No	`95`	Output quality (1-100)

Example Request

curl -X POST http://localhost:1349/api/v1/tools/image/upscale \
  -F "file=@photo.jpg" \
  -F 'settings={"scale":4,"model":"auto","faceEnhance":true,"format":"png"}'

Response

Initial Response (202 Accepted)

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

Progress (SSE at `/api/v1/jobs/{jobId}/progress`)

event: progress
data: {"phase":"processing","stage":"Upscaling...","percent":60}

Final Result (via SSE)

{
  "phase": "complete",
  "percent": 100,
  "result": {
    "jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
    "downloadUrl": "/api/v1/download/{jobId}/photo_4x.png",
    "previewUrl": "/api/v1/download/{jobId}/preview.webp",
    "originalSize": 120000,
    "processedSize": 2400000,
    "width": 4096,
    "height": 4096,
    "method": "realesrgan-x4plus"
  }
}

Notes

Requires the upscale-enhance model bundle to be installed (4-5 GB).
Uses Real-ESRGAN when available; falls back to Lanczos interpolation if the AI model is unavailable.
The faceEnhance option applies GFPGAN face restoration during upscaling for better face quality.
For non-browser-previewable output formats (HEIC, JXL, TIFF), a WebP preview is generated alongside the main output.
Supports HEIC/HEIF, RAW, TGA, PSD, EXR, and HDR input formats via automatic decoding.

2.4 KiB Raw Blame History