Privacy · Face blur · Before / after

Blur Face

Upload a photo with people in it. We run Alibaba Cloud BlurFace to blur detected faces, then open a result page where you drag a slider—original on the left, privacy-safe blur on the right—and download either file.

Your upload

Use a clear photo with visible faces. Tap Generate when ready—no extra settings. Credits apply per successful run.

Live demo

Sample before/after. Your run uses your photo. Drag: left = more blurred · right = more original.

Face blur privacy demo - Original
Face blur privacy demo - Beautified
Original
Beautified

How it works

Powered by Alibaba Cloud BlurFace: we send your image securely, receive a blurred version where faces are obscured, and show it next to the original so you can verify before sharing.

01

Upload a photo

JPEG, PNG, or BMP-friendly uploads (client may compress). API limit about 3 MB; resolution between 32×32 and 2000×2000 px. Faces should be reasonably visible.

02

Generate blur

One tap runs face detection and blur. Credits deduct on success. If no face is detected, you will see a clear error and can try another image.

03

Compare and download

Use the slider on the result page to blend original and blurred views, then download either file for your workflow.

What gets blurred

The service targets face regions so the scene context can remain useful while identities are harder to read.

Face-focused blur

Detected faces receive blur; background and non-face areas are largely preserved for context.

Sharing & compliance

Useful when you need a quick pass before posting team photos, events, or screenshots internally.

Not a full anonymity guarantee

Blur reduces recognizability but is not forensic-grade redaction; assess your own policy needs.

Use cases

Perfect for

Quick privacy passes before publishing or handing off visuals—without manual masking in an editor.

Social & blog imagery

Blur bystanders or colleagues when you only have permission to show the scene, not every face.

Docs and decks

Drop a blurred export into slides or PDFs when you need faces less identifiable at a glance.

Iterative drafts

Generate, compare with the slider, and re-run on a tighter crop if the first pass missed a face.

Pipeline

From upload to download

Your image is validated and optionally compressed in the browser, sent with your account token, and processed by BlurFace. The server pulls the provider result into base64 for the result page so you are not tied to a short-lived CDN URL.

  • Client-side checks on format and size; compression helps stay within API limits.
  • Authenticated request; credits apply per successful blur.
  • Results stored under a Blur Face–specific key for the result page only.
Example blurred face output

FAQ

Credits, file rules, how the slider works, and what BlurFace changes.

Tips for better results

Clear faces and reasonable resolution help detection; very tiny or heavily occluded faces may be missed.

  • Prefer even lighting and faces that are not extremely small in the frame.

  • Avoid extreme motion blur in the source; edges help the model find regions to blur.

  • If part of a face stays sharp, try a closer crop or a higher-resolution source within API limits.

Ready to blur faces for safer sharing?

Jump back, upload, generate, then use the comparison slider before you download.

Back to Blur Face