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curtail

v3.2.1

Published

Curtail is a pure JavaScript image manipulation tool.

Downloads

12

Readme

NPM version Known Vulnerabilities npm NPM downloads Gitter

Installation

To download Curtail through npm, simply use:

$ npm install curtail

Curtail doesn't have a named export so you can import the specific modules you need or all of them like so:

import * as curtail from './node_modules/curtail/curtail.js';

Modules

The available modules within Curtail are:

  • Transform: The transform methods are used to change the image size, format, and other 'physical' properties.

    • crop: Crops an image to a specified dimensions from a starting point.
    • convert: Converts an image from one format to another.
    • resize: Resizes an image with the option of keeping the aspect ratio.
  • Decorate: Contains methods that to add decorative features to images.

    • pad: Adds a padding of your color around the image. It could also be thought of as a border.

Transform

The transform methods are used to change the image size, format, and other 'physical' properties.

Note: As loading of images is an asynchoronous action, all of Curtail's methods return a Promise which you can use either then or await as shown in the examples below.

crop

The crop method takes the path to an image, a crop start location, and the final dimensons of the image and returns the newly cropped version of the original image.

| param | type | description | default | |----------------------|---------|------------------------------------------------------------------------------------|---------| | path | string | The path to the image to crop | | | x | number | The horizontal starting location of the crop | | | y | number | The vertical starting location of the crop | | | width | number | The width of the cropped image | | | height | number | The height of the cropped image | | | options | Object | | {} | | options.autoDownload | boolean | Indicates whether the image should download after the cropping is complete or not. | false | | options.crossOrigin | string | Sets the cross-origin property of images originating from external sources. | null |

Using Promise.then:

// This will take an image and start cropping at (100, 100) and create a new image
// with a width of 720x480.
curtail.crop('./path/to/image.png', 100, 100, 720, 480).then((newImage) => {

  // newImage will be your newly cropped image and if autoDownload is set to true
  // then you will have a local copy downloaded at this time.

});

Using async/await:

async function main() {

  // This will take an image and start cropping at (100, 100) and create a new image
  // with a width of 720x480.
  // You should probably use `try, catch`
  const newImage = curtail.crop('./path/to/image.png', 100, 100, 720, 480).catch((err) => console.log(err));

  // newImage will be your newly cropped image and if autoDownload is set to true
  // then you will have a local copy downloaded at this time.

}

main();

convert

The convert method takes an image and converts it from one image format to another.

If you have a transparent image and convert it to a format that doesn't support transparency, the image will be placed on a white background.

| param | type | description | default | |----------------------|---------|------------------------------------------------------------------------------------|---------| | path | string | The path to the image to crop | | | format | string | The new format for the image | | | options | Object | | {} | | options.autoDownload | boolean | Indicates whether the image should download after the cropping is complete or not. | false | | options.crossOrigin | string | Sets the cross-origin property of images originating from external sources. | null |

Using Promise.then:

// This will take an image and start cropping at (100, 100) and create a new image
// with a width of 720x480.
curtail.convert('./path/to/image.png', 'jpg').then((newImage) => {

  // newImage will be your newly converted image and if autoDownload is set to true
  // then you will have a local copy downloaded at this time.

});

Using async/await:

async function main() {

  // This will take an image and start cropping at (100, 100) and create a new image
  // with a width of 720x480.
  // You should probably use `try, catch`
  const newImage = curtail.convert('./path/to/image.png', 'jpg').catch((err) => console.log(err));

  // newImage will be your newly converted image and if autoDownload is set to true
  // then you will have a local copy downloaded at this time.

}

main();

resize

The resize method takes an image and resizes it, maintaining its aspect ratio by default.

| param | type | description | default | |-----------------------------|---------|-----------------------------------------------------------------------------------------------------------------------------------------------|---------| | path | string | The path to the image to crop | | | format | string | Which dimension to resize, either width or height. Keep in mind that if you're preserving the aspect ratio, the other will resize accordingly | | | size | number | The new size to make the specified dimension | | | options | Object | | {} | | options.preserveAspectRatio | boolean | Indicates whether the width and height will resize together to preserve the aspect ratio of the image | true | | options.autoDownload | boolean | Indicates whether the image should download after the cropping is complete or not. | false | | options.crossOrigin | string | Sets the cross-origin property of images originating from external sources. | null |

Using Promise.then:

// This will take an image (sized 1920x0180 in this example) and resize the width to
// be 400 which will result in the image having a width of 400 and height of 225.
curtail.resize('./path/to/image.png', 'width', 400).then((newImage) => {

  // newImage will be your newly resized image and if autoDownload is set to true
  // then you will have a local copy downloaded at this time.

});

Using async/await:

async function main() {

  // This will take an image (sized 1920x0180 in this example) and resize the width to
  // be 400 which will result in the image having a width of 400 and height of 225.
  // You should probably use `try, catch`
  const newImage = curtail.resize('./path/to/image.png', 'width', 400).catch((err) => console.log(err));

  // newImage will be your newly resized image and if autoDownload is set to true
  // then you will have a local copy downloaded at this time.

}

main();

Decorate

Contains methods to add decorative features to images.

pad

The pad method takes an image and adds the specified amount of padding to it.

| param | type | description | default | |----------------------|---------|----------------------------------------------------------------------------------------------------------|---------------| | path | string | The path to the image to crop | | | padding | number | The amount of padding to add to the image | | | options | Object | | {} | | options.paddingColor | string | The color that the padding will be. This value can be any valid CSS color value such as white or #FFFFFF | 'transparent' | | options.autoDownload | boolean | Indicates whether the image should download after the cropping is complete or not. | false | | options.crossOrigin | string | Sets the cross-origin property of images originating from external sources. | null |

Using Promise.then:

// This will take an image and add 20px of blue padding to all sides.
curtail.pad('./path/to/image.png', 20, { paddingColor: 'blue' }).then((newImage) => {

  // newImage will be your newly padded image and if autoDownload is set to true
  // then you will have a local copy downloaded at this time.

});

Using async/await:

async function main() {

  // This will take an image and add 20px of blue padding to all sides.
  // You should probably use `try, catch`
  const newImage = curtail.pad('./path/to/image.png', 20, { paddingColor: 'blue' }).catch((err) => console.log(err));

  // newImage will be your newly padded image and if autoDownload is set to true
  // then you will have a local copy downloaded at this time.

}

main();

License

MIT