PicCat Restoring your images and input…

AI depth of field special effects

How to blur the background of a photo: AI background blur and subject prominence tutorial

One-click to realize the blur effect of a large aperture SLR camera, intelligently identify portraits and product subjects, and make the background soft and highlight the focus.

large aperture blurSubject identificationIntensity adjustable
Clear street view
Original image before blurring
After background blur
AI background blur effect

Suitable for these scenarios

Which scenarios are suitable for AI background blurring?

📸

Portrait photography later stage

Photos taken with mobile phones have no blurring effect? AI helps you add SLR-level depth of field blur with one click.

🛍️

The main picture of the product stands out

Blurring the background makes the main body of the product more eye-catching and improves the texture of e-commerce pictures.

👤

Social avatar beautification

Add a blurred background to avatars or social photos to make the portrait more three-dimensional and professional.

Operation path

How to use AI background blur

  1. Upload a picture that needs to blur the background, and AI will automatically identify the subject in the picture.
  2. After subject recognition is completed, drag the slider to freely adjust the intensity of the background blur.
  3. After you are satisfied, click download to export the high-definition blur effect map.
Open background blur tool

Blurring effect optimization skills

  • The more obvious the contrast between the subject and the background, the more accurate the AI recognition effect will be.
  • It is not recommended to set the blur intensity too high, as moderate blur looks more natural.
Browse all image processing topics

Frequently asked questions

Background blur FAQ

Can only people be identified?

In addition to people, it can also better identify significant subjects such as animals and commodities and blur the background.

Is the edge transition natural?

Using advanced depth estimation algorithms, the transition between the subject and the background edge is very natural and smooth.