Introducing PixLab's Image Deblur and Image Upscale APIs

Blurry product photos and low-resolution campaign assets can interrupt an otherwise automated publishing workflow. Today, PixLab is expanding its image-processing toolkit with two new REST endpoints: the Image Deblur API and the Image Upscale API.

Developers can now add photo deblurring, image enhancement, and 2x upscaling to applications used by marketing teams, ecommerce businesses, creative agencies, and publishers. Upload an image or submit its public URL, then incorporate the processed result into your existing workflow.

Both endpoints are available starting with the Starter plan. Get your API key from the PixLab Console or compare PixLab plans and pricing.

Image Deblur API: Reduce Motion Blur in Photos

DEBLUR API

The PixLab Image Deblur API reduces motion blur and camera shake in photographs without changing their original dimensions. It is designed for workflows where a photo needs clearer detail, rather than a larger canvas.

Call the DEBLUR endpoint to process product photography, property listings, campaign images, or other photos in your application. No image mask, bounding box, or text prompt is required.

For marketing teams, this means adding a restoration step before reviewing event photography or lifestyle images for publication. Ecommerce platforms can apply the same process to blurred supplier photos, while real estate teams can prepare camera-shaken interior and exterior images for their listings.

Explore the Image Deblur API documentation and code examples for request parameters and integration details.

Image Upscale API: Enlarge Photos 2x or Enhance at Original Size

UPSCALE endpoint

The PixLab Image Upscale API provides AI image enhancement and super-resolution through the UPSCALE endpoint.

  • 2x upscaling: double the image's width and height while preserving its aspect ratio. A 1000 by 750 pixel image becomes 2000 by 1500 pixels.
  • Original-size enhancement: use scale=1 to enhance an image without enlarging it.

The default scale=2 mode is useful when small product photos need to fit larger galleries or campaign layouts. Original-size enhancement is an alternative when your publishing workflow already has the dimensions it needs.

Unlike ordinary resizing, AI upscaling estimates additional detail from image patterns. It can create a clearer-looking enlargement, but it cannot guarantee recovery of information missing from the source.

See the Image Upscale API documentation for supported parameters, output options, and examples in Python, JavaScript, PHP, and Ruby.

Built for Marketing Teams, Ecommerce, and Creative Workflows

These endpoints fit into the systems your team already uses. Developers can integrate them into a product catalog, content management system, digital asset library, or custom photo-editing application.

  • Marketing teams: prepare photography for social media posts, email newsletters, landing pages, and campaign updates.
  • Ecommerce and marketplaces: process supplier and seller photos for product detail pages, catalog imports, and larger image galleries.
  • Creative agencies: add deblurring or enhancement to client asset preparation before design and approval.
  • Real estate and hospitality: improve the presentation of property and accommodation photos while retaining their proportions.
  • Publishers and SaaS platforms: integrate image restoration and enlargement into editorial, upload, and editing workflows.

For bulk processing, submit one image per request and distribute work through your existing queue. Keep concurrency within your account's rate limits, and review important assets before publication. Contact PixLab to discuss sustained high-volume requirements.

Extend Your Existing PixLab Image-Processing Workflow

Deblurring and upscaling complement PixLab's existing image-cleanup endpoints:

  • The Background Removal API isolates subjects and produces transparent cutouts for product listings, campaign compositions, and branded layouts.
  • The Text and Watermark Removal API removes captions, labels, timestamps, and permitted watermarks from images you own or are authorized to modify.

Use each endpoint independently, or combine only the operations a particular asset needs. For example, an ecommerce application might enlarge a small product photo, while a marketing workflow might remove an outdated authorized text overlay before preparing new campaign copy.

Available Starting with the Starter Plan

You do not need an Enterprise subscription to get started. Image Deblur and Image Upscale are available from the PixLab Starter plan, with usage subject to your plan's allowance and account limits.

Review the PixLab pricing page to choose the plan that fits your workload. You can manage your API key and monitor usage in the PixLab Console.

Start Building

  1. Sign in to the PixLab Console and get your API key.
  2. Choose the Image Deblur API for motion blur, or the Image Upscale API for enlargement and enhancement.
  3. Submit a representative image using a file upload or public URL.
  4. Compare the result with the original, then integrate the endpoint into your application.

Image quality still depends on the source. Severe blur, heavy compression, and missing detail can limit restoration. Keep original files and review product labels, faces, logos, and fine textures before publishing processed images.

PixLab Releases Groundbreaking Background Removal API for Developers and Creators

PixLab is proud to announce the official release of the new /bgremove API endpoint, a powerful, production-grade tool that enables background and foreground object removal from images with just a single API call.

PixLab Background Removal API

Designed with developers, marketers, and e-commerce platforms in mind, this RESTful API makes it trivially easy to integrate high-accuracy background removal into any application with no GPU or machine learning expertise required.


Why Use PixLab's Background Removal API?

Whether you are building a product listing platform, automating social media creatives, or simply want to clean up user-generated content, background removal is essential. Here's why PixLab’s Background Remove API stands out:

  • Fast & Reliable: Real-time processing with production-grade SLAs.
  • AI-Powered: Leverages deep learning models to detect and isolate the foreground.
  • Easy to Integrate: Works with plain HTTP requests — SDK-free.
  • Base64 Output or Direct URL: Get the result as an embeddable base64 or save-ready image.
  • Globally Distributed: CDN-backed for latency-sensitive applications.
  • Affordable & Transparent Pricing: Pay only for what you use.

Use Cases

Industry Use Case
E-Commerce Clean product shots with transparent background
Real Estate Remove clutter in listing photos
Marketing Tools Creative automation, thumbnails, ad creatives
Social Media Profile picture editing, story templates
SaaS Platforms Image editing in your user dashboard

Official Documentation

You’ll find the full API reference, parameters, response structure, and integration guides at:

Background Remove API Docs


How to Get Started

  1. Get your API key from the PixLab Console
  2. Review the documentation here
  3. Try it out in seconds with your image with Python|JavaScript|PHP and Ruby Code Samples
  4. Use the output in your app or save it locally

Built on the PixLab Vision Platform

This new endpoint is part of the broader PixLab Vision Platform, which includes:


Start Building Today

Join thousands of developers, marketing agencies, and creators automating their visual workflows with PixLab.

👉 Explore the Background Removal API →
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