BrushCue Tool
Apply Sobel Edge Detection to Image Online
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What you can expect
Interactive, browser-based Sobel edge detection demo for research and experimentation. Upload images to visualize gradient-based edge detection in real time—ideal for learning, prototyping, and exploring computer vision concepts directly in the browser.
Related tools
More BrushCue tools that fit this workflow.
Color Threshold
This tool compares the linear R, G and B components of an image. If any item is below the threshold, it returns black. Otherwise, it returns white. Useful in computer vision tasks and stylistic effects.
Lightness Threshold
Applies a threshold to the OkLab L (lightness) component, analogous to how Color Threshold operates on individual RGB channels. This tool converts continuous tonal values into hard transitions, producing a stark, high-contrast, etching-like effect that emphasizes form and structure.
Frequently asked questions
- How to detect edges in an image?
- Select your file and the Sobel edge detection is applied automatically, highlighting edges as bright lines on a dark background.
- What is Sobel edge detection?
- A classic computer vision technique that highlights edges by computing the gradient of pixel intensity changes across the image.
- What is Sobel edge detection used for?
- Research, computer vision experiments, stylized line-art effects, and identifying structural features in images.
- What file formats can I export?
- You can export as PNG, JPEG, WebP, TIFF, BMP, or HEIC.
- Is this tool free to use?
- Yes — completely free, no account needed. Your images are processed entirely in your browser and never uploaded to a server. Downloads have no watermarks.
For developers
Use Sobel Edge Detection from Python
Open the Jupyter notebook example to see how to run this tool from the BrushCue Python API, inspect the processing steps, and adapt the workflow for scripts or batch image jobs.
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