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This project forked from lovell/sharp

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High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP and TIFF images. Uses the libvips library.

Home Page: http://sharp.dimens.io/

License: Apache License 2.0

Python 1.75% JavaScript 55.71% Shell 3.15% C++ 39.08% Objective-C 0.16% HTML 0.15%

sharp's Introduction

sharp

npm install sharp

The typical use case for this high speed Node.js module is to convert large images in common formats to smaller, web-friendly JPEG, PNG and WebP images of varying dimensions.

Resizing an image is typically 4x-5x faster than using the quickest ImageMagick and GraphicsMagick settings.

Colour spaces, embedded ICC profiles and alpha transparency channels are all handled correctly. Lanczos resampling ensures quality is not sacrificed for speed.

As well as image resizing, operations such as rotation, extraction, compositing and gamma correction are available.

OS X, Windows (x64), Linux (x64, ARM) systems do not require the installation of any external runtime dependencies.

Examples

import sharp from 'sharp';
sharp(inputBuffer)
  .resize(320, 240)
  .toFile('output.webp', (err, info) => ... );
sharp('input.jpg')
  .rotate()
  .resize(200)
  .toBuffer()
  .then( data => ... )
  .catch( err => ... );
const roundedCorners = new Buffer(
  '<svg><rect x="0" y="0" width="200" height="200" rx="50" ry="50"/></svg>'
);

const roundedCornerResizer =
  sharp()
    .resize(200, 200)
    .overlayWith(roundedCorners, { cutout: true })
    .png();

readableStream
  .pipe(roundedCornerResizer)
  .pipe(writableStream);

Test Coverage

Documentation

Visit sharp.dimens.io for complete installation instructions, API documentation, benchmark tests and changelog.

Contributing

A guide for contributors covers reporting bugs, requesting features and submitting code changes.

Licence

Copyright 2013, 2014, 2015, 2016, 2017 Lovell Fuller and contributors.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

sharp's People

Contributors

lovell avatar pierreinglebert avatar mhirsch avatar papandreou avatar brandonaaron avatar felixbuenemann avatar jonathanong avatar wjordan avatar salzhrani avatar roryrjb avatar rnanwani avatar ppaskaris avatar mcuelenaere avatar linusu avatar kleisauke avatar kapouer avatar dacarley avatar bkw avatar rayshan avatar sagivf avatar gigafied avatar teohhanhui avatar mvictoras avatar cmtt avatar frulo avatar kentongray avatar lemnisk8 avatar vlapo avatar zilongshanren avatar vseventer avatar

Watchers

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