Samuel Prevost 497e71d63c feat(measurements): larger canvas, always-visible handles, fewer clicks
- Canvas fills the viewport (h-[calc(100vh-12rem)] on desktop, -14rem on
  mobile), matching the datum-editor precedent. The side panel tracks
  the same height so both read as equal-height siblings.
- Handles are now visible on every measurement, not just the selected
  one. Unselected: small (3px), low-alpha, faint white ring. Selected
  endpoints: 6.5px with a thick ring. Selected primary handles (ellipse
  center / angle vertex): 8px. The invisible grab radius is 14px so the
  tiny unselected dots are still easy to target.
- Selected handles keep their palette color (previously they went white
  along with the lines, so a selected handle disappeared on light
  backgrounds). Matches DatumCanvas's look.
- Hit-test priority is explicit: handles beat geometry, so a precision
  grab on an endpoint always wins over a line-body drag — including on
  an unselected measurement, which promotes to select-and-drag in a
  single gesture.
- Removed the on-canvas delete button next to the selected label. The
  side-panel row × and Delete/Backspace still work. HitResult.kind
  drops its "delete" variant; the matching draw + dispatch blocks and
  the dedicated hit region are gone.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 18:22:56 +02:00
2026-04-14 23:25:59 +02:00
2026-04-16 17:59:01 +02:00

Skwik

Client-side image deskewing tool. Upload a photo taken at an angle, place reference measurements on known objects, and get a perspective-corrected output with real-world scale.

Everything runs in the browser -- no server, no uploads.

How it works

  1. Upload a JPG or HEIC image (HEIC is converted automatically)
  2. Review EXIF data -- camera, lens, focal length
  3. Place datums on the image -- rectangles or lines with known real-world dimensions
  4. Run correction -- OpenCV.js computes a perspective transform and outputs a corrected image

The algorithm

The highest-confidence rectangle datum defines the initial perspective correction via getPerspectiveTransform. All other datums (rectangles and lines) are projected through that transform and measured. Per-axis weighted scale corrections are computed from the discrepancies, folded back into the destination rectangle, and a single clean warpPerspective produces the output. One matrix, one warp, no post-hoc distortion.

Datum confidence scores (1--5) act as weights in the correction.

Quick start

pnpm install
pnpm dev

Open http://localhost:5173.

Build

pnpm build      # type-check + production build
pnpm preview    # serve the build locally

Lint & format

pnpm lint       # eslint (strict TS + Vue)
pnpm lint:fix   # auto-fix
pnpm format     # prettier
pnpm type-check # vue-tsc

Stack

Layer Tech
Framework Vue 3 + TypeScript (strict)
Build Vite
Components shadcn-vue + Tailwind CSS v4
Canvas Konva.js + vue-konva
CV OpenCV.js 4.12 (WASM)
HEIC heic-to
EXIF exifr
State Pinia

Datum presets

Rectangles: A3, A4, A5, A6, 15x10 cm. Custom dimensions supported. Lines: any length.

How Skwik compares

There are plenty of tools that do part of what Skwik does, but none that combine everything:

Tool Client-side Multi-datum weighting Real-world mm scale Measurement tools Scale bar export
Skwik
MYOG Perspective Correction
PerspectiveFix
PicFix.pro
ImageOnline Perspective
Toolschimp Image Measure
Aspose Deskew

Most deskew tools just pull 4 corners to a rectangle without any real-world dimensions -- the output has no scale. Most measurement tools calibrate against a single reference and don't correct perspective. Skwik uses multiple weighted datums (rectangles + lines, each with a confidence score) to solve both problems in one pass, and lets you measure distances or export with a scale bar on the corrected image.

License

MIT

Description
Client-side image deskewing tool. Upload a photo taken at an angle, place reference measurements on known objects, and get a perspective-corrected output with real-world scale.
https://serv.e1n.sh/skiwk
Readme GPL-3.0 1.2 MiB
Languages
Vue 74.1%
TypeScript 24.7%
CSS 1.1%