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lovell/sharp

📈 Trending32,232JavaScriptAudience · developerComplexity · 2/5ActiveLicenseSetup · easy

TLDR

Fast Node.js image processing library that resizes, converts, and optimizes images 4-5x faster than alternatives by using a memory-efficient streaming pipeline.

Mindmap

mindmap
  root((sharp))
    What it does
      Resize images
      Convert formats
      Optimize quality
      Composite layers
    Supported formats
      JPEG PNG WebP
      AVIF GIF TIFF
      Color profiles
    Key features
      Crop and rotate
      Transparency handling
      Gamma correction
      Streaming pipeline
    Tech stack
      Node.js runtime
      libvips C library
      npm package
    Use cases
      Generate thumbnails
      Convert to WebP
      Build APIs
    Why it matters
      4-5x faster
      Low memory usage
      No extra dependencies

Things people build with this

USE CASE 1

Generate thumbnails automatically when users upload photos to your web app.

USE CASE 2

Convert images to modern formats like WebP to reduce page load times.

USE CASE 3

Build an image transformation API that resizes and optimizes images on demand.

USE CASE 4

Process large batches of images without consuming excessive memory or CPU.

Tech stack

Node.jslibvipsJavaScriptC

Getting it running

Difficulty · easy Time to first run · 5min
Use freely for any purpose, including commercial use, as long as you keep the copyright notice and license text.

In plain English

Sharp is a Node.js library for processing images at high speed. The problem it solves is common in web development: you receive large, high-resolution images that need to be resized, converted, and optimized before serving them to users. Without fast image processing, a web application might take several seconds to generate a thumbnail or convert an uploaded photo, which makes the experience feel slow. Sharp makes that work very fast, typically four to five times faster than comparable tools like ImageMagick. The speed comes from its reliance on libvips, a C-based image processing library that processes image data in a streaming, memory-efficient pipeline rather than loading the whole image into RAM at once. This allows it to handle large images without consuming excessive system resources. Sharp supports reading and writing all major image formats: JPEG, PNG, WebP, AVIF (a modern compressed format), GIF, and TIFF. Beyond simple resizing, it can rotate images, crop specific regions, apply gamma correction (adjusting brightness in a perceptually correct way), composite one image on top of another, and handle color space conversion and ICC profiles (standards for consistent color reproduction across devices). Alpha transparency (the invisible channel that lets backgrounds show through) is also handled correctly. You would use Sharp in a Node.js backend whenever you need to process images, for example, generating thumbnails when a user uploads a photo, converting images to WebP for faster page loads, or building an image transformation API. It works with Node.js (version 18.17 or later), as well as newer runtimes like Deno and Bun. Installation via npm requires no additional system dependencies on most modern operating systems, making setup straightforward.

Copy-paste prompts

Prompt 1
Show me how to use Sharp to resize an uploaded image to a thumbnail and save it as WebP format.
Prompt 2
How do I set up Sharp in my Node.js backend to automatically convert PNG uploads to AVIF for faster delivery?
Prompt 3
Write a Sharp script that takes a folder of images and generates multiple sizes (small, medium, large) for responsive web design.
Prompt 4
How can I use Sharp to composite a watermark image on top of user-uploaded photos?
Prompt 5
Show me how to build a simple image transformation API endpoint using Sharp that accepts width and format parameters.
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.