# imgproxy: Fast and Secure Image Processing Server in Go

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imgproxy is a high-performance, standalone server designed for secure and efficient resizing, processing, and converting of remote images. Built with Go and leveraging libvips, it offers exceptional speed and a low memory footprint. This tool provides a robust solution for handling large volumes of image manipulations, prioritizing security, speed, and simplicity.

GitHub: https://github.com/imgproxy/imgproxy
OSRepos URL: https://osrepos.com/repo/imgproxy-imgproxy

## Summary

imgproxy is a high-performance, standalone server designed for secure and efficient resizing, processing, and converting of remote images. Built with Go and leveraging libvips, it offers exceptional speed and a low memory footprint. This tool provides a robust solution for handling large volumes of image manipulations, prioritizing security, speed, and simplicity.

## Topics

- image-processing
- image-server
- Go
- Docker
- microservice
- libvips
- image-resizing
- open-source

## Repository Information

Last analyzed by OSRepos: Sun Oct 12 2025 05:20:40 GMT+0100 (Western European Summer Time)
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GitHub clicks: 1

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## Content

## Introduction
imgproxy is an open-source, standalone server developed in Go, specializing in the fast and secure processing of images. It allows for on-the-fly resizing, converting, and manipulation of remote images, making it an ideal replacement for in-application image resizing code. With its core principles of security, speed, and simplicity, imgproxy is well-suited for handling high volumes of image operations efficiently.

## Installation
Getting imgproxy up and running is straightforward. The official documentation provides comprehensive guides for various deployment scenarios. A common and recommended method is to use Docker, which simplifies setup and dependency management.
For detailed installation instructions, please refer to the official [imgproxy Documentation](https://docs.imgproxy.net "imgproxy Documentation" target="_blank").

## Examples
imgproxy offers a flexible API for image manipulation, allowing users to specify various parameters for resizing, cropping, and format conversion via URL. The documentation includes numerous examples demonstrating how to construct these URLs and integrate imgproxy into your applications.
Explore practical usage examples and API details in the [imgproxy Documentation](https://docs.imgproxy.net "imgproxy Documentation" target="_blank").

## Why Use It
imgproxy stands out for several compelling reasons:
*   **Speed:** It leverages `libvips`, one of the most efficient image processing libraries, known for its incredible speed and low memory consumption. Combined with Go's native `net/http` package, imgproxy delivers optimal performance for processing a massive amount of images.
*   **Security:** Image processing, especially from remote sources, can be a security risk. imgproxy mitigates this by checking image types and dimensions during download to prevent "image bomb" attacks. It also protects image URLs with signatures to prevent denial-of-service attacks and supports authorization via HTTP headers.
*   **Simplicity:** imgproxy focuses on essential image processing features, avoiding unnecessary complexity. It encourages using external tools like CDNs or caching proxies for HTTP caching and HTTPS, aligning with best practices for production environments.
*   **Efficiency:** By offloading image resizing and conversion to a dedicated server, imgproxy frees up your application's resources, leading to better overall performance and scalability.

## Links
*   [GitHub Repository](https://github.com/imgproxy/imgproxy "imgproxy GitHub Repository" target="_blank")
*   [Official Website](https://imgproxy.net "imgproxy Official Website" target="_blank")
*   [Documentation](https://docs.imgproxy.net "imgproxy Documentation" target="_blank")
*   [Blog](https://imgproxy.net/blog/ "imgproxy Blog" target="_blank")