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Image Edge Detection

Online image edge detection tool with local batch upload, grayscale smoothing, dual-threshold edge extraction, live preview, and export

Upload & Queue

Drag upload, batch processing, result preview, and download

Drop images here

Supports JPG, PNG, WebP, BMP, GIF, SVG. Output keeps source format or falls back to JPG.

Image List

No images in queue yet. Upload files to get started.

Edge Detection Rule

The tool converts to grayscale, applies Gaussian smoothing, and runs dual-threshold edge tracing to output black edges on white background.

Edge Detection Result

Upload images to preview source and edge result

Source

Source preview will appear here.

Edge Result

Edge result will appear here.



Documentation

Image Edge Detection runs locally in your browser to extract contours from images, with batch processing and downloads for sketch creation, OCR preprocessing, and edge analysis workflows.

Main Features

  1. Upload JPG, PNG, WebP, BMP, GIF, SVG, or import whole folders in batch
  2. Generate black-edge-on-white results with grayscale, Gaussian smoothing, and dual-threshold edge extraction
  3. Compare source and result side by side, then download single or batch outputs

How to Use

  1. Click "Choose Images" or drag files into the upload area
  2. Select an item in the queue to preview
  3. Click "Convert Current" or "Batch Convert" to generate edge results
  4. Export files with "Download Current" or "Download All"

Processing Notes

  1. Original dimensions are preserved and only pixel colors are transformed
  2. Output format follows the source extension when possible, otherwise falls back to JPG
  3. All processing happens locally and no image is uploaded to a server

Usage Tips

  1. If edges look weak, increase image contrast before edge detection
  2. For portraits and text-heavy images, PNG input often gives cleaner boundaries
  3. Batch download is exported as a ZIP, and failed items are excluded automatically

FAQ

  1. If edges look weak, try increasing contrast before running edge detection
  2. SVG input is processed from the browser-rendered image content
  3. Batch download skips items that do not have generated results