Tools / Batch Watermark

Batch Watermark

Put the same watermark on a whole batch of images at once, free.

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Batch Watermark

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Looking to watermark images in batches at scale?

Sign up to use our API in your next project and watermark images in batches at scale.

Free Online Batch Watermark

One watermark, applied across every file you upload.

Why use our Batch Watermark tool?

Watermarking one photo is easy. Watermarking two hundred is the problem, and that is what this does in a single pass.

Built for the browser

Works right in your browser, free, with no software to install and no watermarks.

Batch in one go

Upload the whole set and the same watermark lands on every image in the same place.

Position and strength

Choose where it sits and how visible it is, so it protects the image without ruining it.

Quality preserved

Cloudinary keeps your output crisp and true to the original.

Do it at scale

Process one file or thousands with our free API and watermark images in batches automatically, with no manual steps.

Format versatility

Works with all major formats, so your result fits right into your workflow.

How to watermark images in batches in 3 steps

Batch watermark your images in 3 simple steps. Upload them, set your watermark, and download.

Upload your images

Drag and drop the whole set into the browser, or upload them from your device.

Set your watermark

Add your text or logo, then choose the position and the opacity.

Download

Save your result, with no watermarks.

Go beyond watermarking

Protect and prepare your images with more free tools: Add Watermark to Photo, Video Watermark, Bulk Image Resizer.

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

It applies one watermark across a batch of images in a single pass, instead of making you open each file and repeat the same placement. Photographers sending proofs, marketplaces protecting listings and teams sharing drafts all end up doing this job in bulk.

Corners are the least intrusive and the easiest to crop out, which cuts both ways. A mark placed across the middle at low opacity is far harder to remove and still lets the image be judged, which is why proofing galleries tend to use it.

Yes, it is free to use online. Upload your images, set the watermark once and download the whole batch, with nothing to install and no watermark of ours added on top of yours. The time saved is the whole point: the work of marking two hundred files is the repetition, not the design.

The watermark is composited over your image and the rest of the pixels are left alone, so what sits underneath keeps its original detail and resolution. The images are re-encoded once on the way out, so keep your originals if you expect to re-export the set later with a different mark.

Yes, and this is where it gets genuinely useful. With the Cloudinary API the watermark is applied on delivery, so you store one clean original and serve the marked version, which means you can change or remove the mark later without re-processing anything.

Related tools: Add Image to GIF · Image Masking · Add Watermark to Photo

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