imgproxy: Fast and Secure Image Processing Server in Go

This repository profile is provided by osrepos.com, an open source repository discovery platform.

imgproxy: Fast and Secure Image Processing Server in Go

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.

Repository Information

Analyzed by OSRepos on October 12, 2025

Topics

Click on any tag to explore related repositories

Use at your own risk

OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of code from these repositories is the user's own responsibility. Always review the repository, source code, dependencies, licenses, and security implications before running or installing anything. OSRepos is not responsible for issues, damages, or losses resulting from third-party repositories.

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.

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.

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

Related repositories

Similar repositories that may be relevant next.

ExifCleaner: Cross-Platform Desktop App for Image Metadata Cleaning

ExifCleaner: Cross-Platform Desktop App for Image Metadata Cleaning

May 11, 2026

ExifCleaner is a powerful, open-source desktop application designed to remove sensitive metadata from your images, videos, and PDF files. It provides a user-friendly graphical interface with drag-and-drop functionality and fast batch processing, ensuring your privacy across various platforms like macOS, Windows, and Linux. With its latest v4.0 release, it offers enhanced privacy features, metadata inspection, and robust security measures.

desktop-appprivacyimage-processing
FilePond: A Flexible JavaScript Library for Seamless File Uploads

FilePond: A Flexible JavaScript Library for Seamless File Uploads

March 3, 2026

FilePond is a powerful and fun JavaScript library designed for handling file uploads with ease. It offers a highly flexible and accessible user experience, capable of optimizing images and managing various file types for faster and smoother uploads. With extensive features and integrations, FilePond simplifies complex file handling tasks for developers.

drag-and-dropfile-uploadfilepond
PyMatting: A Python Library for Alpha Matting

PyMatting: A Python Library for Alpha Matting

February 5, 2026

PyMatting is a powerful Python library designed for alpha matting, a technique used to accurately extract foreground objects from images. It offers implementations of various matting algorithms and foreground estimation methods, making it a versatile tool for image processing tasks. The library also provides GPU support for enhanced performance and integrates seamlessly with popular scientific computing packages.

alpha-mattingimage-processingpython
face-cropper: Advanced Face Cropping with Mediapipe and OpenCV

face-cropper: Advanced Face Cropping with Mediapipe and OpenCV

October 12, 2025

The `face-cropper` repository offers a robust Python solution for extracting faces from images. It implements a custom pipeline leveraging Mediapipe's FaceDetection and FaceMesh networks to accurately crop, optionally remove backgrounds, and correct the roll of detected faces. This tool is ideal for pre-processing images in computer vision tasks or real-time applications.

computer-visionface-croppingmediapipe

Source repository

Open the original repository on GitHub.

View on GitHub
OS
OSRepos

Analysis and discovery of open source repositories. Find interesting projects and follow their updates.

Monitor your website with YourWebsiteScore

OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of third-party repository code is at your own risk. Always review source code, dependencies, licenses, and security implications before running anything.

© 2025 OSRepos. Built with Nuxt 3 and lots of ❤️