Background Removal API

Strip the noise.
Keep the subject.

Background removal that's fast, accurate, and priced per image. No credits. No subscriptions required. Just clean cuts, every time.

<300ms
Average processing time
99.2%
Edge accuracy on benchmarks
$0.01/img
Starting price
How It Works

Three lines of code.
Zero complexity.

01

Upload

Send any image via API or drag it into the web tool. JPG, PNG, WebP. Up to 25MB.

02

Process

Our AI model isolates the subject with pixel-level precision. Hair, fur, transparency handled automatically.

03

Download

Get a clean PNG with transparent background. Or swap in any color or custom background.

For Developers

An API that respects
your time.

// Remove background with one call
const response = await fetch('https://api.clearcut.polsia.app/v1/remove', {
  method: 'POST',
  headers: { 'Authorization': `Bearer ${API_KEY}` },
  body: formData
});

const result = await response.blob();
// That's it. Clean PNG with transparent background.
Use Cases

Built for people who
process thousands of images.

E-Commerce

Clean product photos at scale. Batch process your entire catalog and list faster on Amazon, Shopify, or eBay.

Design Teams

Skip the tedious masking in Photoshop. Get production-ready cutouts in seconds for marketing materials.

Real Estate

Swap sky backgrounds, clean up property photos, and create consistent listing imagery automatically.

Content Creators

Thumbnails, social posts, profile pictures. Remove and replace backgrounds without opening an editor.

Pricing

Pay per image.
That's the whole model.

Free

$0 forever

Try it out. No credit card required.

  • 50 images per month
  • Web tool access
  • Standard resolution output
  • API access

Pay As You Go

$0.01 per image

No minimums. No expiring credits. Just usage.

  • Unlimited images
  • Full resolution output
  • Batch processing
  • Priority API speed
  • Custom backgrounds

Background removal
shouldn't be this hard.

We're building ClearCut because every existing tool overcomplicates what should be simple. One image in, one clean image out. That's the product.