@platformatic/image-optimizer

Detect, fetch, and optimize images with sharp, with optional queue-backed processing via @platformatic/job-queue.

Features

• Detects image type from file signatures (magic bytes)
• Optimizes raster images (jpeg, png, webp, avif)
• Prevents animated image optimization
• Supports optional SVG passthrough
• Provides fetchAndOptimize() for URL-based workflows (via undici.request())
• Provides queue APIs (Queue, createQueue) powered by @platformatic/job-queue for distributed work
• Throws structured ImageError objects

Installation

npm i @platformatic/image-optimizer

API

optimize(buffer, width, quality, allowSVG = false)

Optimizes an input image buffer.

• width: target max width (withoutEnlargement is enabled)
• quality: output quality used by format-specific encoders
• allowSVG: when false (default), SVG images are not optimized and it throws an error

fetchAndOptimize(url, width, quality, allowSVG = false)

Fetches an image and then runs optimize(). Returns:

• buffer: optimized image buffer
• contentType: upstream content-type response header (or null)
• cacheControl: upstream cache-control response header (or null)

detectImageType(buffer)

Returns the detected image type (for example jpeg, png, webp) or null.

Queue

Queue-backed optimizer powered by @platformatic/job-queue.

Methods:

• start()
• stop()
• optimize(buffer, width, quality, allowSVG?) (auto-starts on first use)
• fetchAndOptimize(url, width, quality, allowSVG?) (auto-starts on first use)

createQueue(options?)

Creates and starts a Queue instance.

Example

import { createQueue, fetchAndOptimize } from '@platformatic/image-optimizer'

const queue = await createQueue({ concurrency: 2 })
const { buffer } = await fetchAndOptimize('https://example.com/image.jpg', 800, 75)
await queue.stop()

License

Apache-2.0 - See LICENSE for more information.