Can someone "de-blur" or reverse the pixelation to see my data?
If the blur or pixelation strength is set very low (e.g. 2px or 4px), automated machine learning scripts can sometimes approximate the original characters. However, by setting our sliders to high intensity (e.g. 20px+), the mathematical pixel entropy is completely destroyed. This replaces the original data with broad color averages, making it physically and mathematically impossible to reverse-engineer the original source image data. For absolute security on text strings, we recommend using a solid colored box overlay via our Image Redactor.
Does this tool support multiple blur marquee selections?
Yes, absolutely! You can draw multiple marquee selection blocks across different parts of the same image to censor several faces, email addresses, or serial numbers concurrently before export.
Is this tool safe to use for sensitive credit card or identity photos?
Yes, because SimplyUtils executes all crop and filter calculations locally within your web browser memory tab using HTML5 Canvas API arrays. No data, files, or sensitive information is ever uploaded to a server, keeping your data entirely confidential.
What is the technical difference between Gaussian blur and pixelation?
Gaussian blur applies a mathematical convolution matrix that averages neighboring pixel colors with a smooth bell-curve weight distribution. Pixelation divides the selected area into a grid of block tiles (e.g. 16×16 pixels) and fills each tile with the exact color of its single center pixel, creating a blocky, low-fidelity look.
Strict Local Renders: Because all rendering operations take place completely inside your local browser memory space, your images are never sent over the internet or stored on a server.