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Image Tools / Local studio

Image Pixel Sort Effect

Sort contiguous qualifying row pixels by luminance above an adjustable threshold while preserving RGBA pixel tuples.

Runs locallyNo image upload to Nirmion

Step 1 / Source

Choose one image

JPEG · PNG · WebP · 20 MB

Drop your image here

Or browse for a JPEG, PNG, or WebP image that you own or are authorised to edit.

One file · up to 20 MB · maximum 50 megapixels

Step 2 / Output

Image Pixel Sort Effect settings

Choose a decoded-luminance threshold from 0 to 255; only contiguous pixels meeting or exceeding it join a sorted run.

Create the threshold-bounded pixel-sort PNGThe source is not overwritten. Export creates a separate threshold-bounded pixel-sort PNG.
Keep this page open until the download begins.
01No server upload

The selected image is decoded and re-encoded inside this browser tab.

02Working copy released

After download, the preview URL, decoded bitmap, canvas, and selected source reference are cleared.

03Your download remains

Nirmion cannot remove the finished file from your device or browser download history.

Workflow guide

Use image pixel sort effect with an inspectable review path

Each row is split into contiguous runs at or above the selected decoded-luminance threshold, then complete RGBA tuples are sorted from dark to light. Compare the result with the untouched source before using it downstream.
A

What you need

Choose one authorised JPEG, PNG, or WebP still image up to 20 MB and 12 million decoded pixels. Animated frames are not processed.

B

Social-ready choices

Create an intentional data-bend derivative while checking where protected dark regions interrupt each horizontal sorted run.

C

What you receive

Download a separate threshold-bounded pixel-sort PNG; the original file on your device remains unchanged.

Decision guide

What image pixel sort effect measures or changes

Each row is split into contiguous runs at or above the selected decoded-luminance threshold, then complete RGBA tuples are sorted from dark to light.

The operation is deterministic row sorting, not corruption recovery, compression glitch emulation, object-aware masking, or random displacement. Browser-local processing avoids a Nirmion file upload, but it cannot remove copies stored elsewhere.

MDN Canvas pixel manipulation

Useful checks for image pixel sort effect

  1. Create an intentional data-bend derivative while checking where protected dark regions interrupt each horizontal sorted run.
  2. Create a bounded review result while retaining the original for comparison, correction, or a different method.
  3. Test representative flat areas, gradients, edges, text, transparency, and high-frequency texture before accepting the output.

Good to know

Important image boundaries

Why might a PNG not become smaller?
PNG is lossless and browsers do not expose a quality control for it. Choose WebP or JPEG when reducing file size matters more than exact lossless pixels.
Are animated images supported?
No. The workspace accepts still JPEG, PNG, and WebP files. Re-encoding an animated source would otherwise keep only one frame.
What does clearing the file mean?
Because processing is local, there is no Nirmion server copy to delete. The tab releases its working references after success; your downloaded output remains on your device.

Questions answered

Frequently asked questions

Does Image Pixel Sort Effect upload my image?

No. Supported JPEG, PNG, and WebP decoding, pixel inspection, transformation, and export run in your current browser tab. Nirmion does not send the selected image to its API for this workflow. The result is a separate derivative or JSON report, while the original file on your device remains unchanged and should be retained for comparison.

How does Image Pixel Sort Effect work?

Each row is split into contiguous runs at or above the selected decoded-luminance threshold, then complete RGBA tuples are sorted from dark to light. Fully transparent samples are excluded from numerical reports, while visual effects preserve source alpha. The method does not infer subjects, restore missing detail, calibrate a display, or develop raw camera data. Compare edges, gradients, text, texture, and transparent areas with the original before relying on the result.

What are the limits of Image Pixel Sort Effect?

The operation is deterministic row sorting, not corruption recovery, compression glitch emulation, object-aware masking, or random displacement. The workspace accepts one supported still image up to 20 MB and caps this pixel-intensive operation at 12 million decoded pixels for predictable browser memory use. Results depend on browser decoding and encoding support. Animation, raw development, ICC calibration, layer editing, and batch processing are outside this tool's verified scope.