Face Blur Api Node Library
Privacy-first · Faces blurred on-device · No originals stored
The safest approach for "face blur api node library" is to run one consistent process every time you post.
Step-by-step workflow
- Upload your photo to BlurFaces.
- Use Add mask to draw over the plate region.
- Increase padding by 6-12% and tune blur strength.
- Export and verify readability before posting.
Recommended blur and masking settings
- Distant shots: moderate blur is often enough when masking is accurate.
- High-res images: verify at 2x zoom to catch readable edges.
- Marketplace thumbnails: test crop behavior before posting.
Pre-publish QA checks
- Test compressed previews before listing.
- Inspect mirrors and glossy surfaces for secondary visibility.
- Confirm mask coverage after crop/resize.
Mistakes that cause privacy leaks
- Editing too slowly -> use baseline defaults first, then fine-tune.
- Mask is too tight -> increase padding so crops stay covered.
- Blur too weak -> raise strength until characters lose edge definition.
Example scenario
In a typical "face blur api node library" task, the first pass handles the visible target and the second pass checks reflections and crops.
Who this process helps most
- Marketplace and classified listings
- Community and social media posts
- Internal team reviews before publication
Related guides
Continue with plate blur guide, redact vs blur, and face blurring workflow.
Final checks before you publish
Most privacy misses happen in the final 10%: compressed previews, reflected details, or crop variants. Treat verification as part of the workflow, not an optional step.
- Run one final pass for secondary identifiers (badges, street numbers, documents).
- Open the final photo in full-screen and confirm identifiers are unreadable.
- Review reflective surfaces, including windows, paint, and mirrors.
More help: plate blur guide, face blur workflow, and video privacy guide.
Decision help: blur vs pixelate vs redact. Popular use case: real estate listing privacy.