withoutbg is an open-source AI-powered solution designed for effective background removal from images. The project offers two primary processing options: local processing, which is free and allows users to remove backgrounds on their own hardware, and withoutBG Pro, which provides enhanced quality and optimized infrastructure for larger-scale operations.

Key Features

• AI-Driven Background Removal: Utilize state-of-the-art AI algorithms to achieve stunning image edits with transparent backgrounds.
• Flexible Processing Options: Choose between local processing for free or withoutBG Pro for commercial-grade quality and scalability.
• Efficient Batch Processing: Process multiple images simultaneously with ease, saving time and maximizing productivity.
• Multi-Platform Support: Compatible with various architectures, ensuring that it works seamlessly across different systems.
• Intuitive Web Application: A user-friendly drag-and-drop web interface simplifies the background removal process without the need for programming experience.

Quick Start

Local Processing Example

To get started with local processing, install the package and use the following code snippet:

from withoutbg import WithoutBG
model = WithoutBG.opensource()
result = model.remove_background("input.jpg")
result.save("output.png")  # Output with transparent background

withoutBG Pro Processing Example

For users who opt for withoutBG Pro, the API-based solution offers the best quality:

model = WithoutBG.api(api_key="your_api_key")
result = model.remove_background("input.jpg")
result.save("output.png")  # High-quality output

Comprehensive Documentation

• Python SDK Documentation: Detailed API usage and installation guidelines.
• Dockerized Web App Documentation: Instructions for running a web interface through Docker.

Development and Contributions

withoutbg is an evolving project that welcomes contributions. Developers may access the repository for further exploration and contribute via GitHub. The project is organized as a monorepo containing multiple components, including a core Python SDK and a web application. Support channels are also available for bug reports, feature requests, and commercial inquiries.