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.
Image Tools / Local studio
Measure horizontal and vertical neighbor transitions among transparent, partial-alpha, and opaque pixel classes.
Step 1 / Source
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 megapixelsStep 2 / Output
This analysis uses one documented method so repeated runs on the same decoded pixels remain comparable.
The selected image is decoded and re-encoded inside this browser tab.
After download, the preview URL, decoded bitmap, canvas, and selected source reference are cleared.
Nirmion cannot remove the finished file from your device or browser download history.
Workflow guide
Choose one authorised JPEG, PNG, or WebP still image up to 20 MB and 12 million decoded pixels. Animated frames are not processed.
Compare similarly sized transparency masks for directional boundary complexity without selecting a color edge threshold or changing pixels.
Review and download a separate alpha-transition-density JSON report; the original file on your device remains unchanged.
Decision guide
Alpha zero, 1 through 254, and 255 form three classes; every right and lower neighbor pair is compared once and transitions are reported by direction.
Transition density is not perimeter length, anti-aliasing quality, halo detection, subject segmentation, visual complexity, or an edit recommendation. Browser-local processing avoids a Nirmion file upload, but it cannot remove copies stored elsewhere.
MDN Canvas pixel manipulationGood to know
Questions answered
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.
Alpha zero, 1 through 254, and 255 form three classes; every right and lower neighbor pair is compared once and transitions are reported by direction. All decoded pixels and all in-bounds horizontal and vertical pairs participate, regardless of stored RGB beneath transparency. 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.
Transition density is not perimeter length, anti-aliasing quality, halo detection, subject segmentation, visual complexity, or an edit recommendation. 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.