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This library optimizes JPEGs losslessly using MozJPEG.

To reduce the file sizes,

  • the Huffman table of the JPEGs is optimized,

  • the baseline JPEGs are converted to progressive JPEGs,

  • and any metadata and ICC profiles are removed.

The JPEGs optimized with this library are identical to what you get using the jpegtran tool from MozJPEG with the -optimize, -progressive and -copy none options.

Usage

Optimizing (losslessly) a JPEG:

import mozjpeg_lossless_optimization

with open("./image.jpg", "rb") as input_jpeg_file:
    input_jpeg_bytes = input_jpeg_file.read()

output_jpeg_bytes = mozjpeg_lossless_optimization.optimize(input_jpeg_bytes)

with open("./out.jpg", "wb") as output_jpeg_file:
    output_jpeg_file.write(output_jpeg_bytes)

To preserve image metadata, you can set the copy parameter to mozjpeg_lossless_optimization.COPY_MARKERS.ALL:

output_jpeg_bytes = mozjpeg_lossless_optimization.optimize(
    input_jpeg_bytes,
    copy=mozjpeg_lossless_optimization.COPY_MARKERS.ALL,
)

Possible values for the copy parameter:

  • COPY_MARKERS.NONE: copy no optional markers (default),

  • COPY_MARKERS.COMMENTS: copy only comment (COM) markers,

  • COPY_MARKERS.ALL: copy all optional markers,

  • COPY_MARKERS.ALL_EXCEPT_ICC: copy all optional markers except APP2,

  • COPY_MARKERS.ICC: copy only ICC profile (APP2) markers.

Converting an image to an optimized JPEG (using Pillow):

from io import BytesIO

from PIL import Image  # pip install pillow
import mozjpeg_lossless_optimization


def convert_to_optimized_jpeg(input_path, output_path):
    jpeg_io = BytesIO()

    with Image.open(input_path, "r") as image:
        image.convert("RGB").save(jpeg_io, format="JPEG", quality=90)

    jpeg_io.seek(0)
    jpeg_bytes = jpeg_io.read()

    optimized_jpeg_bytes = mozjpeg_lossless_optimization.optimize(jpeg_bytes)

    with open(output_path, "wb") as output_file:
        output_file.write(optimized_jpeg_bytes)


convert_to_optimized_jpeg("input.png", "optimized.jpg")

Install

From PyPI

To install MozJPEG Lossless Optimization from PyPI, just run the following command:

pip install mozjpeg-lossless-optimization

From Sources

To install MozJPEG Lossless Optimization, MozJPEG will be compiled, so you will need a C compilator and cmake. On Debian / Ubuntu you can install everything you need with the following command:

sudo apt install build-essential cmake python3 python3-dev python3-pip python3-setuptools

Once everything installed, clone this repository:

git clone https://github.com/wanadev/mozjpeg-lossless-optimization.git

Then navigate to the project’s folder:

cd mozjpeg-lossless-optimization

Retrieve submodules:

git submodule init
git submodule update

And finally build and install using the following command:

python3 setup.py install

Hacking

Get the source and build C lib and module:

# Install system dependencies
sudo apt install build-essential cmake python3 python3-dev python3-pip python3-setuptools

# Get the sources
git clone https://github.com/wanadev/mozjpeg-lossless-optimization.git
cd mozjpeg-lossless-optimization
git submodule init
git submodule update

# Create and activate a Python virtualenv
python3 -m venv __env__
source __env__/bin/activate

# Install Python dependencies in the virtualenv
pip install cffi

# Build MozJPEG
# This will generate files in ./mozjpeg/build/ folder
python setup.py build

# Build the CFFI module "in-place"
# This will create the ./mozjpeg_lossless_optimization/_mozjpeg_opti.*.so file on Linux
python ./mozjpeg_lossless_optimization/mozjpeg_opti_build.py

Lint:

pip install nox
nox -s lint

Run tests:

pip install nox
pip -s test

Licenses

MozJPEG Lossless Optimization is licensed under the BSD 3 Clause license. See the LICENSE file for more information.

MozJPEG is covered by three compatible BSD-style open source licenses. See its license file for more information.

Changelog

  • [NEXT] (changes on master but not released yet):

    • Nothing yet ;)

  • v1.3.2:

    • misc: Added Python 3.14 support (@flozz)

    • misc: Dropped support of x86 (32bits) architecture for Python >= 3.14 (@flozz)

    • misc!: Removed Python 3.9 support (@flozz)

  • v1.3.1:

    • misc(wheel): Fixed macOS arm64 wheels (missing symbols in libturbojpg) (@flozz, #34)

    • !misc(wheel): Removed build of macOS universal2 wheels (@flozz, #34)

    • misc(wheel): Build wheel for Linux ARMv7 platform (@flozz)

  • v1.3.0:

    • feat: Added an option to allow copying metadata from the original image (@pierotofy, #4, #33)

    • misc(build): Fixed build with cmake 3.13+ (@flozz)

  • v1.2.0:

    • misc(mozjpeg): Updated mozjpeg to latest master commit: 9b8d11f (v4.1.5+) (@flozz)

  • v1.1.5:

    • misc(deps): Pin setuptools only for PyPy on Windows platform (@flozz, #26)

  • v1.1.4:

    • misc(wheel): Fixed Windows builds by sticking on setuptools<74 (@flozz)

    • misc(wheel): Build ARM64 wheels for Linux platform (@flozz, #23)

    • misc: Added Python 3.13 support (@flozz)

    • misc!: Removed Python 3.8 support (@flozz)

  • v1.1.3:

    • Added Python 3.12 support (@flozz, #6)

    • Removed Python 3.7 support (@flozz)

  • v1.1.2:

    • Added Python 3.11 support

  • v1.1.1:

    • Fix sdist package: missing MozJPEG source files added

  • v1.1.0:

    • Updated mozjpeg to latest master commit: fd56921 (v4.1.1+)

  • v1.0.2:

    • arm64 and universal2 wheels for macOS on Apple Silicon

    • x86 and x68_64 wheels for musl-based Linux distro (Alpine,…)

  • v1.0.1: Python 3.10 support and wheels

  • v1.0.0: Handle JPEG decompression errors

  • v0.9.0: First public release

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for flozz from gravatar.com flozz Avatar for wanadev from gravatar.com wanadev

Credits

Author: Wanadev

Maintainer: Fabien LOISON

License

BSD-3-Clause

Provides Extra

dev

Tags

image jpeg mozjpeg jpegtran optimization cffi

Report project as malware

Metadata

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for flozz from gravatar.com flozz Avatar for wanadev from gravatar.com wanadev

Credits

Author: Wanadev

Maintainer: Fabien LOISON

License

BSD-3-Clause

Provides Extra

dev

Tags

image jpeg mozjpeg jpegtran optimization cffi

Report project as malware

Release files for mozjpeg-lossless-optimization 1.3.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for mozjpeg-lossless-optimization 1.3.2
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mozjpeg_lossless_optimization-1.3.2.tar.gz 1.1 MB Details

Built distributions (wheels)

Table of built distributions (wheels) for mozjpeg-lossless-optimization 1.3.2
File
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mozjpeg_lossless_optimization-1.3.2-cp38-cp38-musllinux_1_2_aarch64.whl 140.1 kB CPython 3.8 CPython 3.8 Linux musl 1.2+ ARM64 Details
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mozjpeg_lossless_optimization-1.3.2-cp38-cp38-manylinux2010_i686.manylinux_2_12_i686.manylinux_2_28_i686.whl 116.2 kB CPython 3.8 CPython 3.8 Linux glibc 2.12+ x86-32, Linux glibc 2.28+ x86-32 Details
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1.3.2 This release

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1.0.0

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0.9.0

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