ruby-vips

This gem is a Ruby binding for the libvips image processing library. It has been tested on Linux, macOS and Windows, and with ruby 2, ruby 3 and jruby. It uses ruby-ffi to call functions in the libvips library.

libvips is a demand-driven, horizontally threaded image processing library. Compared to similar libraries, libvips runs quickly and uses little memory. libvips is licensed under the LGPL 2.1+.

Install on linux and macOS

Install the libvips binary with your package manager (eg. apt install libvips42 or perhaps brew install vips, see the libvips install instructions) then install this gem with:

gem install ruby-vips

Or include gem "ruby-vips" in your gemfile.

Install on Windows

The gemspec will pull in the msys libvips for you, so all you need is:

gem install ruby-vips

Or include gem "ruby-vips" in your gemfile.

Tested with the ruby and msys from choco, but others may work.

Example

require "vips"

im = Vips::Image.new_from_file filename

# put im at position (100, 100) in a 3000 x 3000 pixel image, 
# make the other pixels in the image by mirroring im up / down / 
# left / right, see
# https://libvips.github.io/libvips/API/current/libvips-conversion.html#vips-embed
im = im.embed 100, 100, 3000, 3000, extend: :mirror

# multiply the green (middle) band by 2, leave the other two alone
im *= [1, 2, 1]

# make an image from an array constant, convolve with it
mask = Vips::Image.new_from_array [
    [-1, -1, -1],
    [-1, 16, -1],
    [-1, -1, -1]], 8
im = im.conv mask, precision: :integer

# finally, write the result back to a file on disk
im.write_to_file output_filename

Documentation

There are full API docs for ruby-vips on rubydoc. This sometimes has issues updating, so we have a copy on the gh-pages for this site as well, which should always work.

See the Vips section in the docs for a tutorial introduction with examples.

The libvips reference manual has a complete explanation of every method.

The example/ directory has some simple example programs.

Benchmarks

The benchmark at vips-benchmarks loads a large image, crops, shrinks, sharpens and saves again, and repeats 10 times.