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@platformatic/image-optimizer

v0.2.0

Published

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

Readme

@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()
  • fetchAndOptimize(url, width, quality, allowSVG?, enqueueOptions?) (auto-starts on first use)

Notes:

  • Queue processing is URL-based (fetchAndOptimize) and returns { buffer, contentType, cacheControl }.
  • enqueueOptions is forwarded to @platformatic/job-queue enqueueAndWait() (for example: timeout, maxAttempts, resultTTL).

createQueue(options?)

Creates and starts a Queue instance.

Example

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

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

License

Apache-2.0 - See LICENSE for more information.