Top Free Background Removal tools, APIs, and Open Source models

Top Free Background Removal tools, APIs, and Open Source models

What is Background Removal API?

An API for removing image backgrounds makes life easier for developers, simplifying the process of eliminating image backgrounds. It works by using advanced algorithms based on computer vision and machine learning to isolate primary subjects or objects from their backgrounds in photographs. This technology is useful for graphic design, photo editing and e-commerce product listings.

Users can upload pictures and get edited versions with the background removed, which helps simplify image editing tasks and benefits various creative applications. By automatically taking care of editing tasks, background removal APIs offer a highly valued solution for companies seeking to better manage their visual content.

Top Open Source (Free) Image Background Removal models on the market

For users seeking a cost-effective engine, opting for an open-source model is recommended. Here is the list of the best Image Background Removal Open Source Models:

1‍. backgroundremover

BackgroundRemover is a command line tool to remove background from images and videos using AI, made by nadermx.

2. django_bgRemoverML

A Machine Learning Project Integrated with Django to Remove Background from Image.

3. MODNet-BGRemover

This is an open source model for image background removal.

4. rembg

An open source model for background removal sponsored by Photoroom.

5. Image Eraser

Image Eraser allows users to perform image segmentation inside the browser using a vector editor (FabricJS) and JS implementations of superpixel algorithms

6. Automatic_Background_Removal

A Web API for automatic background removal using Deep Learning. The app is made using Flask and deployed on Heroku.

Cons of Using Open Source AI models

‍While open-source models offer many advantages, they also have potential drawbacks and challenges. Here are some cons of using open-source models:

  • Not Entirely Cost Free: Open-source models, while providing valuable resources to users, may not always be entirely free of cost. Users often need to bear hosting and server usage expenses, especially when dealing with large or resource-intensive data sets.
  • Lack of Support: Open-source models may not have official support channels or dedicated customer support teams. If you encounter issues or need assistance, you might have to rely on community forums or the goodwill of volunteers, which can be less reliable than commercial support.
  • Limited Documentation: Some open source models may need more complete or better-maintained documentation. This can make it difficult for developers to understand how to use the model effectively, leading to frustration and wasted time.
  • Security Concerns: Security vulnerabilities can exist in open-source models, and it may take longer for these issues to be addressed compared to commercially supported models. Users of open-source models may need to monitor for security updates and patches actively.
  • Scalability and Performance: Open source models may not be as optimized for performance and scalability as commercial models. If your application requires high performance or needs to handle a large number of requests, you may need to invest more time in optimization.

Why choose Eden AI?

Given the potential costs and challenges related to open-source models, one cost-effective solution is to use APIs. Eden AI smoothens the incorporation and implementation of AI technologies with its API, connecting to multiple AI engines.

Eden AI presents a broad range of AI APIs on its platform, customized to suit your needs and financial limitations. These technologies include data parsing, language identification, sentiment analysis, logo recognition, question answering, data anonymization, speech recognition, and numerous other capabilities.

To get started, we offer free $1 credit for you to explore our APIs. 60720 (1).png

Access Background Removal providers with one API

Our standardized API enables you to integrate Background Removal APIs into your system with ease by utilizing various providers on Eden AI. Here is the list (in alphabetical order):

  • Api4ai
  • Microsoft
  • PhotoRoom
  • SentiSight.AI
  • StabilityAI

1. Api4ai- Available on Eden AI

The api4ai has built the Image Background Removal API by using machine learning methods. They have tried it extensively and refined the integration procedures. It is now developed, examined, and ready to use. This is a fully cloud-based service that provides dependable and high uptime.

2. Microsoft- Available on Eden AI

Microsoft's Azure Computer Vision API offers a tool to erase the backgrounds of images, assisting developers to concentrate on the primary subject using cutting-edge computer algorithms.

The tool uses ingenious machine learning techniques to identify and separate the primary subject from the background, making tasks such as graphic design and content creation easier. Developers can effortlessly integrate this feature into their applications while adjusting their preferences to meet a specific goal.

3. PhotoRoom- Available on Eden AI

Photoroom offers an API for background removal that allows developers to access advanced capabilities for removing backgrounds within their applications. The API uses sophisticated algorithms to produce seamless subject extractions from images resulting in transparent backgrounds or alternative settings.

4. SentiSight.AI- Available on Eden AI

The API for background removal detects the object of interest and its surrounding area in an image before removing the background. Deep learning techniques utilizing convolutional neural networks (CNNs) are employed to achieve this task.

The website provides an option to process images in large quantities, thus speeding up the process. Additionally, the AI powered image recognition system guarantees accurate and precise results for background removal.

5. Stability- Available on Eden AI

StabilityAI's API lets users easily remove image backgrounds with their background removal API. These APIs apply advanced algorithms to recognize and isolate the main subject in an image, providing users with alpha channels or transparent backgrounds.

Pricing Structure for Background Removal API Providers

Eden AI offers a user-friendly platform for evaluating pricing information from diverse API providers and monitoring price changes over time. As a result, keeping up-to-date with the latest pricing is crucial. The pricing chart below outlines the rates for smaller quantities for December 2023, as well as you can get discounts for potentially large volumes.‍

How Eden AI can help you?

Eden AI is the future of AI usage in companies: our app allows you to call multiple AI APIs.
  • Centralized and fully monitored billing on Eden AI for Background Removal APIs
  • Unified API for all providers: simple and standard to use, quick switch between providers, access to the specific features of each provider
  • Standardized response format: the JSON output format is the same for all suppliers thanks to Eden AI's standardization work. The response elements are also standardized thanks to Eden AI's powerful matching algorithms.
  • The best Artificial Intelligence APIs in the market are available: big cloud providers (Google, AWS, Microsoft, and more specialized engines)
  • Data protection: Eden AI will not store or use any data. Possibility to filter to use only GDPR engines.

You can see Eden AI documentation here.

Next step in your project

The Eden AI team can help you with your Background Removal integration project. This can be done by :

  • Organizing a product demo and a discussion to understand your needs better. You can book a time slot on this link: Contact
  • By testing the public version of Eden AI for free: however, not all providers are available on this version. Some are only available on the Enterprise version.
  • By benefiting from the support and advice of a team of experts to find the optimal combination of providers according to the specifics of your needs
  • Having the possibility to integrate on a third-party platform: we can quickly develop connectors.

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