A GPU-accelerated image processing library for the web, powered by WebGL and REGL. Perform real-time image transformations with blur, color adjustments, LUTs, and more.

⚠️ Beta software: SharpGPU is actively under development and not yet ready for production workloads.

Features

• 🚀 GPU-accelerated image processing using WebGL
• 🎨 Color adjustments (brightness, saturation, hue, lightness, tint)
• 🌫️ Gaussian blur with variable radius
• 🎭 LUT (Look-Up Table) support for custom color grading
• ⛓️ Chainable API for complex image pipelines
• 📦 Built with TypeScript for full type safety

Roadmap

Core Pipeline & I/O

• Multi-source inputs (Buffer, ReadableStream, filesystem paths)
• Load from image URL/path via SharpGPU.from
• Metadata inspection (metadata())
• File/Buffer outputs (toFile, toBuffer)
• Canvas output (toCanvas)
• Browser blob export (toBlob)

Geometry & Resizing

• Basic resize by width/height with aspect preservation
• Resize fit/cover/fill strategies (e.g. fit: cover, background)
• Crop/extract, extend/pad, trim
• Rotate, flip, flop
• Affine/projective transforms

Color & Tone

• Modulate brightness, saturation, hue, lightness
• Tint
• Grayscale
• LUT-based grading (lut())
• Linear, gamma, negate
• Histogram-based normalize
• Thresholding
• Channel operations (remove/ensure alpha, join/extract channel)

Effects & Convolution

• Gaussian blur (single-pass separable)
• Median blur
• Sharpen
• Custom convolution kernels
• Composite/overlay operations

Pipeline Composition

• Chainable operation builder
• Stream-based piping (pipeline(), clone() semantics for concurrency)
• Queued/concurrent job control (queue(), limitInputPixels)

Installation

Usage

import { SharpGPU } from "sharp-gpu";

// Load an image and apply transformations
const canvas = document.getElementById("output") as HTMLCanvasElement;

const image = await SharpGPU.from("/path/to/image.png");

await image
  .blur(10)
  .modulate({
    brightness: 1.2,
    saturation: 1.5,
    hue: 30,
  })
  .toCanvas(canvas);

// Or export as a blob
const blob = await image.blur(5).grayscale().toBlob("image/png");

Available Operations

// Blur with radius
.blur(radius: number)

// Color modulation
.modulate({
  brightness?: number,  // 0-2 (default: 1)
  saturation?: number,  // 0-2 (default: 1)
  hue?: number,         // 0-360 degrees (default: 0)
  lightness?: number,   // -1 to 1 (default: 0)
  tint?: [r, g, b]     // 0-1 normalized RGB (default: [1, 1, 1])
})

// Linear adjustment (scale + offset per channel, optional alpha)
.linear(multiply: number | [r, g, b] | [r, g, b, a], add?: number | [r, g, b] | [r, g, b, a])

// Gamma correction (default gamma=2.2, gammaOut=1.0)
.gamma(gamma?: number | [r, g, b], gammaOut?: number | [r, g, b])

// Channel inversion
.negate()

// Grayscale (shorthand for saturation: 0)
.grayscale()

// Tint (helper around linear scaling)
.tint([r, g, b])

// Look-Up Table (custom color grading)
.lut((x: number) => number) // Function mapping
.lut([...values])           // Array of values

// Resize
.resize({ width: number, height: number })

Development

# Install dependencies
bun install

# Build the library
bun run build

# Watch mode for development
bun run dev

# Type checking
bun run typecheck

# Run example
cd example && bun install && bun run dev

Example

Check out the example/ folder for a working interactive demo with Tweakpane controls.

License

MIT