Remove backgrounds from images with AI. Our background removal API incorporates the latest research in semantic segmentation and image matting, and is specifically optimized to isolate people and products.

Free trial: https://hotpot.ai/remove-background.

Contact us for volume pricing.

There are many situations where designers, entrepreneurs, developers, and consumers might benefit from automatic background removal. Some of these include:

• Refining product photos for Shopify, Etsy, or other ecommerce platforms.
• Creating more professional photos for Craigslist or eBay listings
• Updating social media profile pictures with more attractive backgrounds
• Composing interesting collages from various photos
• Adding turnkey marketing materials to print in books, magazines, or brochures
• Generating stylish and professional web or Facebook ads

How to Remove Backgrounds in Seconds

Overview

Background removal is a common chore for many people. From creating catchy ecommerce product photos to editing social media profile pictures and many other goals in between, there are countless reasons to isolate foreground objects and remove the background from a photo. Historically, this was a time-consuming and painstaking process that required trained experts using professional software like Photoshop to remove backgrounds from images.

Background Removal with Deep Learning

Recent advances in artificial intelligence have fortunately changed this. In particular, an exciting new approach called deep learning has yielded staggering improvements in automatic background removal, especially for common images. What may have taken 30 minutes several years ago can now be accomplished with the click of a button. Deep learning is a growing subfield of artificial intelligence and draws inspiration from the human brain. Sophisticated algorithms, modeled after the billions of neurons powering the human brain, digest and analyze mountains of data related to some goal. With the right data and configurations, these so-called artificial neural networks can extract novel patterns and effectively “learn” how to perform a task – not unlike teaching children how to recognize dogs. Unlike human neural networks, however, these artificial ones offer extremely narrow capabilities and struggle to generalize lessons outside of the training domain. For instance, an artificial neural network engineered to recognize Golden Retrievers could fail to detect German Shepherds as dogs.

Thankfully, deep learning works exceptionally for background removal. Deep learning algorithms can accurately separate the foreground from background when objects are sufficiently different, as with a Porsche and its dusty garage. Separating a glass of red wine from a white tablecloth, on the other hand, may prove trickier but can be done. Background removal from Hotpot.ai incorporates the latest research in image segmentation and edge detection and is specifically optimized to isolate people and products.

Popular Uses for Background Removal

There are many situations where designers, entrepreneurs, developers, and consumers might benefit from automatic background removal. Some of these include:

• Refining product photos for Shopify, Etsy, or other ecommerce platforms.
• Creating more professional photos for Craigslist or eBay listings
• Updating social media profile pictures with more attractive backgrounds
• Composing interesting collages from various photos
• Adding turnkey marketing materials to print in books, magazines, or brochures
• Generating stylish and professional web or Facebook ads

Step-by-step Guide for Fast Background Removal

Automatically removing backgrounds with the Hotpot.ai API is easy and only requires a few minutes.

As an example, assume the objective is to create more professional product photos for an ecommerce platform like Shopify or Amazon. You have existing pictures but want to extract the products and superimpose them on more modern, brand-centric backgrounds.

To remove image backgrounds with the Hotpot.ai API, simply follow the steps below.

1. Register for a RapidAPI account.

2. Subscribe to the Hotpot.ai Background Remover API endpoint.

3. In your language of choice, provide an image to the Hotpot.ai API. Hotpot will remove the background and return the result in seconds. See samples below for JavaScript, Ruby, and Python. For other code samples, please view the Background Remover API endpoint. RapidAPI conveniently lists other code samples in Swift, Objective-C, Java, Go, PHP, and all popular languages.

How to Remove Backgrounds in Seconds

Overview

Background removal is a common chore for many people. From creating catchy ecommerce product photos to editing social media profile pictures and many other goals in between, there are countless reasons to isolate foreground objects and remove the background from a photo. Historically, this was a time-consuming and painstaking process that required trained experts using professional software like Photoshop to remove backgrounds from images.

Background Removal with Deep Learning

Recent advances in artificial intelligence have fortunately changed this. In particular, an exciting new approach called deep learning has yielded staggering improvements in automatic background removal, especially for common images. What may have taken 30 minutes several years ago can now be accomplished with the click of a button. Deep learning is a growing subfield of artificial intelligence and draws inspiration from the human brain. Sophisticated algorithms, modeled after the billions of neurons powering the human brain, digest and analyze mountains of data related to some goal. With the right data and configurations, these so-called artificial neural networks can extract novel patterns and effectively “learn” how to perform a task – not unlike teaching children how to recognize dogs. Unlike human neural networks, however, these artificial ones offer extremely narrow capabilities and struggle to generalize lessons outside of the training domain. For instance, an artificial neural network engineered to recognize Golden Retrievers could fail to detect German Shepherds as dogs.

Thankfully, deep learning works exceptionally for background removal. Deep learning algorithms can accurately separate the foreground from background when objects are sufficiently different, as with a Porsche and its dusty garage. Separating a glass of red wine from a white tablecloth, on the other hand, may prove trickier but can be done. Background removal from Hotpot.ai incorporates the latest research in image segmentation and edge detection and is specifically optimized to isolate people and products.

Popular Uses for Background Removal

There are many situations where designers, entrepreneurs, developers, and consumers might benefit from automatic background removal. Some of these include:

• Refining product photos for Shopify, Etsy, or other ecommerce platforms.
• Creating more professional photos for Craigslist or eBay listings
• Updating social media profile pictures with more attractive backgrounds
• Composing interesting collages from various photos
• Adding turnkey marketing materials to print in books, magazines, or brochures
• Generating stylish and professional web or Facebook ads

Step-by-step Guide for Fast Background Removal

Automatically removing backgrounds with the Hotpot.ai API is easy and only requires a few minutes.

As an example, assume the objective is to create more professional product photos for an ecommerce platform like Shopify or Amazon. You have existing pictures but want to extract the products and superimpose them on more modern, brand-centric backgrounds.

To remove image backgrounds with the Hotpot.ai API, simply follow the steps below.

1. Register for a RapidAPI account.

2. Subscribe to the Hotpot.ai Background Remover API endpoint.

3. In your language of choice, provide an image to the Hotpot.ai API. Hotpot will remove the background and return the result in seconds. See samples below for JavaScript, Ruby, and Python. For other code samples, please view the Background Remover API endpoint. RapidAPI conveniently lists other code samples in Swift, Objective-C, Java, Go, PHP, and all popular languages.