Tools / Blur license plate

Blur License Plate

Blur a license plate online with a free license plate blurrer. Drop your photo below and obscure any plate, face or detail in seconds

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Blur License Plate

Upload a photo, then manually draw a box over each license plate (or any other area) you want to obscure. Cloudinary has no automatic license-plate detection, this is a manual selection tool, not an AI detector.

Or drag your photo here

JPG, PNG, or WebP · Max 20MB

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Looking to programmatically blur license plates?

Sign up for our free API and automatically obscure plates, faces and sensitive details across every image you handle!

Free License Plate Blurrer

Easily blur license plates online, instantly and effortlessly. No installation or plugins required. Simply drop your image into our tool, drag a box over each plate, and download a redacted photo in seconds.

Why choose our license plate blurrer?

You can blur license plates on the fly, securely, ad-free and inside your browser. Developers can get an API to automatically redact plates across thousands of images!

Real redaction, not an overlay

The blur is applied to the pixels by Cloudinary, not painted on top as a shape. There is no layer to remove and nothing recoverable underneath.

Image Enhancement

Whether it’s redaction, real time filtering or interactive product displays, Cloudinary’s API covers a wide spectrum of image enhancement features. Developers can easily process whole libraries automatically!

Performance Optimization

Automatic optimization ensures that images are delivered in the best quality and format based on the user’s device, browser or connection. Automatically apply the most efficient format!

Blur or pixelate, as many regions as you need

Draw a box over every plate, face or address in the photo. Choose a soft blur or a hard pixelate, and set how strong it is. Each region is applied independently.

Workflow Automation

Create automated workflows on preset configurations. Save time and ensure that files are transformed and ready to deliver automatically after upload.

Image Formats Versatility

Go beyond JPG and PNG. Support for cutting edge formats like AVIF, JPEG-XL and HEIC ensure that visual assets are delivered in formats that offer the best combination of quality and efficiency.

How to blur a license plate ?

Use the license plate blurrer in 3 simple steps, or sign up for Cloudinary to programmatically redact thousands of your images!

Upload your image

Upload and drop your JPG, PNG or WebP photo into the tool

Draw over the plate

Drag a box over each license plate, then choose blur or pixelate

Download redacted image

Once the redaction is complete, download your JPG, PNG or WebP image

Explore Beyond License Plate Blurring

Protect privacy in any image with more free blurring tools: Face Blur, Blur Image.

A woman and a golden retriever in the mountains. They're sitting, facing away from the camera while the dog noses the woman. They're surrounded by natural splendor including majestic mountains, puffy clouds, and evergreen-studded hills.
An un-cropped image overlaid with a cropping window showing how it would be cropped by Cloudinary.
An arrow pointing from the original asset to the cropped asset
A woman and a golden retriever in the mountains. They're sitting, facing away from the camera while the dog noses the woman. They're surrounded by natural splendor including majestic mountains, puffy clouds, and evergreen-studded hills.
The same asset cropped using the following settings: Aspect Ratio: 1:2. Crop Mode: Content-Aware.
Images
Videos
Crop Mode
Aspect Ratio
Original
18 MB

We’re showing a resized version of the original asset to avoid slow loading speeds. View the original.

The original asset:
JPEG
135 KB
WebP
135 KB
AVIF
90 KB
JPEG XL
94 KB
The image after being optimized using the following settings: Quality: Auto. Width: 1000px.
Original
18 MB

We’re showing a resized version of the original asset to avoid slow loading speeds. View the original.

The original asset:
JPEG
135 KB
WebP
135 KB
AVIF
90 KB
JPEG XL
94 KB
The image after being optimized using the following settings: Quality: Auto. Width: 1000px.
Images
Videos
Quality
Width
An un-cropped image overlaid with a croppingai window showing how it would be cropped by Cloudinary.
An arrow pointing from the original asset to the cropped asset
The same asset cropped using the following settings: Aspect Ratio: 1:1. Crop Mode: Content-Aware.
Images
Videos
Crop Mode
Aspect Ratio
The original image:
An arrow pointing from the original asset to the transformed asset.
The personalized image:
The original image:
The personalized image:
Product Photos
Backgrounds
Overlays
Duration
Full length video: Surfing Trip
An arrow pointing from the original video to the AI-generated preview.
Duration
A shorter video preview generated by Cloudinary's AI using the following settings: Duration: 15 seconds. Max Clips: 9. Min Clip Length: 1 second.
Videos
Duration
Max Clips
Min Clip Length
URL:
/ar_0.5,c_fill,g_auto,w_433/q_auto/f_auto/hiking_dog_mountain.jpg
cloudinary.image("hiking_dog_mountain.jpg", {transformation: [
  {aspect_ratio: "0.5", gravity: "auto", width: 433, crop: "fill"},
  {quality: "auto"},
  {fetch_format: "auto"}
  ]})
new CloudinaryImage("hiking_dog_mountain.jpg")
  .resize(
    fill()
      .width(433)
      .aspectRatio(0.5)
      .gravity(autoGravity())
  )
  .delivery(quality(auto()))
  .delivery(format(auto()));
new CloudinaryImage("hiking_dog_mountain.jpg")
  .resize(
    fill()
      .width(433)
      .aspectRatio(0.5)
      .gravity(autoGravity())
  )
  .delivery(quality(auto()))
  .delivery(format(auto()));
new CloudinaryImage("hiking_dog_mountain.jpg")
  .resize(
    fill()
      .width(433)
      .aspectRatio(0.5)
      .gravity(autoGravity())
  )
  .delivery(quality(auto()))
  .delivery(format(auto()));
new CloudinaryImage("hiking_dog_mountain.jpg")
  .resize(
    fill()
      .width(433)
      .aspectRatio(0.5)
      .gravity(autoGravity())
  )
  .delivery(quality(auto()))
  .delivery(format(auto()));
CloudinaryImage("hiking_dog_mountain.jpg").image(transformation=[
  {'aspect_ratio': "0.5", 'gravity': "auto", 'width': 433, 'crop': "fill"},
  {'quality': "auto"},
  {'fetch_format': "auto"}
  ])
(new ImageTag('hiking_dog_mountain.jpg'))
	->resize(Resize::fill()->width(433)
->aspectRatio(0.5)
	->gravity(
	Gravity::autoGravity())
	)
	->delivery(Delivery::quality(
	Quality::auto()))
	->delivery(Delivery::format(
	Format::auto()));
cloudinary.url().transformation(new Transformation()
  .aspectRatio("0.5").gravity("auto").width(433).crop("fill").chain()
  .quality("auto").chain()
  .fetchFormat("auto")).imageTag("hiking_dog_mountain.jpg");
cl_image_tag("hiking_dog_mountain.jpg", transformation: [
  {aspect_ratio: "0.5", gravity: "auto", width: 433, crop: "fill"},
  {quality: "auto"},
  {fetch_format: "auto"}
  ])
cloudinary.Api.UrlImgUp.Transform(new Transformation()
  .AspectRatio("0.5").Gravity("auto").Width(433).Crop("fill").Chain()
  .Quality("auto").Chain()
  .FetchFormat("auto")).BuildImageTag("hiking_dog_mountain.jpg")
cloudinary.image('hiking_dog_mountain.jpg').transformation(Transformation()
	.resize(Resize.fill().width(433)
.aspectRatio(0.5)
	.gravity(
	Gravity.autoGravity())
	)
	.delivery(Delivery.quality(
	Quality.auto()))
	.delivery(Delivery.format(
	Format.auto())));
imageView.cldSetImage(cloudinary.createUrl().setTransformation(CLDTransformation()
  .setAspectRatio("0.5").setGravity("auto").setWidth(433).setCrop("fill").chain()
  .setQuality("auto").chain()
  .setFetchFormat("auto")).generate("hiking_dog_mountain.jpg")!, cloudinary: cloudinary)
MediaManager.get().url().transformation(new Transformation()
  .aspectRatio("0.5").gravity("auto").width(433).crop("fill").chain()
  .quality("auto").chain()
  .fetchFormat("auto")).generate("hiking_dog_mountain.jpg");
cloudinary.image('hiking_dog_mountain.jpg').transformation(Transformation()
	.resize(Resize.fill().width(433)
.aspectRatio(0.5)
	.gravity(
	Gravity.autoGravity())
	)
	.delivery(Delivery.quality(
	Quality.auto()))
	.delivery(Delivery.format(
	Format.auto())));
cloudinary.image {
	publicId("hiking_dog_mountain.jpg")
	 resize(Resize.fill() { width(433)
 aspectRatio(0.5F)
	 gravity(
	Gravity.autoGravity())
	 })
	 delivery(Delivery.quality(
	Quality.auto()))
	 delivery(Delivery.format(
	Format.auto())) 
}.generate()
new CloudinaryImage("hiking_dog_mountain.jpg")
  .resize(
    fill()
      .width(433)
      .aspectRatio(0.5)
      .gravity(autoGravity())
  )
  .delivery(quality(auto()))
  .delivery(format(auto()));

Frequently Asked Questions

License plate blurring is the removal of a readable number plate from a photograph so the vehicle cannot be traced back to its owner. It is standard practice for anyone publishing photographs of vehicles: car dealerships listing stock, insurance and accident reports, estate agents photographing driveways, journalists, and mapping services. A plate is personal data in many jurisdictions, and publishing one without consent can create a real privacy problem. Blurring solves it without cropping the vehicle out of the shot or retaking the photograph.

Blur smooths the region into a soft gradient, which looks natural and tends to sit better in a photograph you still want to look attractive, such as a vehicle listing. Pixelate replaces the region with large solid blocks, which reads more obviously as deliberate redaction and is harder to mistake for a focus problem. Both are irreversible here because the pixels themselves are changed. For documentation, evidence or anything where it should be visibly clear that information was removed on purpose, pixelate is the stronger choice.

Draw a box over each one. There is no limit on the number of regions, and each is applied as its own independent transformation, so a car park full of vehicles can be handled in a single pass. The regions do not have to be the same size or strength. If you draw a box in the wrong place, remove it and draw again before downloading. Nothing is applied to the file until you export it, so you can adjust freely.

Because a number plate identifies a person. Publishing one on a listing, a blog post, a social feed or a company website exposes the owner to tracing, and in several jurisdictions it counts as processing personal data. Dealerships and marketplaces blur plates as routine practice so that stock photography does not leak the previous owner. Insurers and legal teams blur them before circulating evidence. It takes a few seconds here and removes the problem entirely.

Yes. Blurring a region is a genuine Cloudinary image transformation, so it can run
server side with no browser involved. e_blur_region and e_pixelate_region each take a strength plus the x, y, width and height of the area, and multiple regions chain together in a single delivery URL. That means an application can redact on upload, or on delivery, without storing an unredacted copy. Sign up for the free API to build it once and apply it across your whole library.

Export as WebP rather than JPG or PNG where you can, which typically saves a third of the file size at the same visible quality. Leave the quality setting on automatic so the compression is chosen per image rather than fixed. If the image is going onto a website, serving it through an optimised delivery URL will also pick the best format for each visitor’s browser automatically, so a single upload covers everyone without you exporting several versions by hand.

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