
After

Before


Blur faces and sensitive details
Protect privacy by blurring faces, license plates, screenshots, or sensitive image areas.
- Privacy safe
Privacy demos make the value obvious without needing to explain invisible processing.
Blur reduces visible detail by mixing neighboring pixels. It is useful for soft backgrounds and low risk visual masking, but it is not secure redaction because shapes or text can sometimes be inferred.
or drag and drop images here
Fast async jobs
No install required
Temporary files
Batch uploads

After

Before


Protect privacy by blurring faces, license plates, screenshots, or sensitive image areas.
Privacy demos make the value obvious without needing to explain invisible processing.
.png, .jpg, .jpeg, .webp
same_as_input, jpg, png, webp
/filter
Submit files to /filter, poll the job endpoint, then download outputs programmatically.
Blur reduces visible detail by mixing neighboring pixels. It is useful for soft backgrounds and low-risk visual masking, but it is not secure redaction because shapes or text can sometimes be inferred.
A blur replaces a pixel with a weighted average of nearby pixels. Small radii soften texture; large radii remove recognizable detail and create broad color fields.
Cost increases with radius and image size. Large blurs over huge photos are much slower than small preview blurs.
Controls how far neighboring pixels are mixed.
Controls how pixels near image borders are sampled.
Removes metadata from generated output when supported.
Not reliably. Use solid redaction or heavy pixelation for confidential information.
The processor has to sample a wider neighborhood around each pixel, so cost rises with radius and megapixels.
No. Blur can make text harder to read, but it is not secure redaction. Use solid redaction or destructive pixelation for sensitive information.
Use a small radius for softening texture and a larger radius for background separation. Preview at final output size.
Large blur kernels mix pixels across high-contrast boundaries, creating visible color bleeding or halos.
Not reliably. Final size depends more on output format and compression settings than the blur itself.
Yes. Upload an image, apply the filter through ImageHQ, and download the processed result from the browser.
No. Filter pages are frontend SEO routes that submit to the compact POST /v1/filter API.
MDN Web Docs - browser_documentation
ImageMagick - library_documentation
W3C WAI - standards_body
MDN Web Docs - browser_documentation
W3C - official_spec