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Apply non-photorealistic rendering (NPR) to any photo: painterly stylization flattens texture while keeping edges crisp, detail enhance amplifies local contrast, and edge-preserving smoothing gives a clean watercolor-like base. All three are edge-aware filters from OpenCV's photo module, running locally via WebAssembly.
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The filter smooths flat regions aggressively but refuses to average across strong edges, so outlines stay crisp while skin, sky, and walls become flat and painterly.
Painterly stylization gives the strongest artistic look. Detail enhance is the opposite — it boosts local contrast for a dramatic HDR-like feel. Edge-preserving smooth is subtle and works well as a skin or noise smoother.
Cartoonize uses a neural network trained on anime/cartoon styles. These are classical edge-aware filters — deterministic, instant, and tunable with two sliders.
No. The filters are compiled to WebAssembly and run entirely in your browser.