Is pixelation or Gaussian blur better for hiding faces?

Pixelation (mosaic) is generally more secure. Gaussian blur can sometimes be partially reversed through deconvolution algorithms, especially at lower blur strengths. Pixelation permanently destroys the underlying pixel data by averaging entire blocks, making reversal mathematically impossible. For sensitive contexts like legal evidence or whistleblower protection, always use pixelation at maximum intensity.

Can face blur be reversed or undone?

Strong pixelation cannot be reversed — the original pixel values are permanently replaced with block averages. Light Gaussian blur can theoretically be partially reversed using deblurring algorithms, but the result is rarely clear enough for identification. AI upscaling tools have improved deblurring capabilities, so using the highest practical blur intensity is recommended for any privacy-sensitive application.

Do I need consent to photograph someone in a public place?

Laws vary by country. In most of the US, photographing people in public spaces is legal without consent. In the EU under GDPR, publishing recognizable photos of individuals without consent can violate their data protection rights. Germany, France, and Austria have particularly strict right-to-image laws. When in doubt, blur faces before publishing — it eliminates the legal risk entirely.

Does blurring faces remove metadata too?

No. Face blurring only modifies the visible pixel content of the image. Metadata (EXIF data) — including GPS location, camera model, timestamps, and software tags — remains embedded in the file unless explicitly removed. For full privacy protection, blur faces AND strip metadata using a tool like Scanly's EXIF Remover.

How do I blur faces in a video?

Video face blurring requires frame-by-frame processing with face tracking. YouTube Studio has a built-in face blur feature for uploaded videos. Desktop tools like DaVinci Resolve, Premiere Pro, and free options like Shotcut support manual face tracking and blur. Scanly's Face Blur tool currently handles still images — for video, use a dedicated video editor with face tracking.

How to Blur Faces in Photos for Privacy

Not Everyone in Your Photo Consented

Every photo you share online potentially exposes people who never agreed to be identified. Face blurring is the simplest way to protect bystanders, children, clients, and anyone else who shows up in your images. Under GDPR, a face is biometric data — publishing recognizable photos without consent can mean fines. Even outside the EU, it's increasingly expected for street photography, event coverage, real estate listings, and anything involving children.

Try it free: Face Blur — automatically detect and blur faces, right in your browser.

Pixelation vs. Gaussian Blur

Pixelation divides the face into large blocks and replaces every pixel in each block with the block's average color. The original data is permanently destroyed — no AI upscaling or deconvolution can recover it. For legal, medical, or security contexts, pixelation at high intensity is the right choice.

Gaussian blur smooths pixels by averaging them with their neighbors, producing a soft out-of-focus look. It's less jarring visually and works well for social media. The tradeoff: light Gaussian blur (5-10px) has been successfully reversed in research settings using deblurring algorithms. Strong blur (20px+) is much harder to undo but still theoretically reversible. If privacy matters more than aesthetics, pick pixelation.

Need to anonymize faces in a photo? Detect and blur them automatically — no upload required.

Blur Faces Now →

How to Blur Faces — Step by Step

Upload your image to Face Blur — drag and drop, paste with Ctrl+V, or browse. The tool uses TinyFaceDetector (a lightweight neural network) to find all faces automatically. Everything runs client-side — your photos never leave the browser.

Each detected face gets a checkbox. Select individual faces or "Blur All." Choose between pixelation and Gaussian blur, adjust the intensity (5-50px), and download the result as PNG. PNG avoids JPEG compression artifacts around the blur boundaries.

If automatic detection misses a face (common with extreme profile views, heavy shadows, or very small faces in the background), cropping closer or brightening the image helps. For large group shots, run through the Face Counter first to verify all faces were found.

Blurring Faces Is Only Half the Job

A photo contains more identifying information than just faces. For complete privacy:

After blurring, strip the metadata with EXIF Remover. GPS coordinates in the file can pinpoint where the photo was taken — that can identify someone faster than their face. Camera serial numbers, timestamps, and software history all leak information too. Then run the Privacy Score checker to verify nothing identifying remains. Our GPS removal guide explains why location data is the most dangerous metadata field.

Also check for non-facial identifiers: tattoos, uniforms, name badges, license plates, house numbers, and distinctive accessories can all identify people even with their faces blurred.

Common Mistakes

Blur too light. If you can still make out eye placement, nose shape, or jawline through the blur, AI face recognition can probably identify the person. When in doubt, maximum pixelation.

Forgetting reflections. Mirrors, windows, sunglasses, and polished surfaces can all contain recognizable face reflections. Check the whole image.

Leaving metadata. Blurring faces while leaving GPS coordinates in the file provides incomplete protection. Always strip metadata alongside face blurring.

Using eye bars. Thin black bars over the eyes are a legacy print-media technique. Modern facial recognition uses overall face geometry, not just the eyes. Full face blur is far more effective.

Common Questions

Is pixelation or Gaussian blur better? Pixelation is more secure — it permanently destroys pixel data, making reversal impossible. Gaussian blur can theoretically be partially reversed, especially at low intensity. For sensitive contexts, always use pixelation at maximum strength.

Can face blur be reversed? Strong pixelation cannot — the original values are replaced with block averages. Light Gaussian blur can be partially reversed with deblurring algorithms, though rarely clearly enough for identification. Use the highest practical intensity.

Do I need consent to photograph someone in public? Laws vary. In the US, photographing in public is generally legal. In the EU under GDPR, publishing recognizable photos without consent can violate data protection rights. Blurring faces before publishing eliminates the legal risk.

Does blurring remove metadata too? No. Face blurring only modifies pixels. GPS, camera model, timestamps all stay in the file unless you strip them separately with EXIF Remover.

How do I blur faces in video? Video requires frame-by-frame processing with face tracking. YouTube Studio has a built-in face blur. DaVinci Resolve and Premiere Pro support it too. Scanly's Face Blur handles still images only.

Privacy Is One Blur Away

Pixelation for maximum security, Gaussian blur for a natural look. Either way, face anonymization is only half the job — strip the metadata too, or the GPS coordinates will identify someone faster than their face ever could.

The Face Blur tool detects faces automatically, lets you choose which ones to blur and at what intensity, and processes everything in your browser — no uploads, no accounts.