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guetzli
C++2016–2024
google / guetzli · Archived

guetzli

Perceptual JPEG encoder

23Distinct people
23Mentions
0Explicit recommenders
12.9KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Perceptual JPEG encoder

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 9:01:12 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year23 dated mentions

Observed mentions: 2016-10-21 21:27:47 UTC to 2024-04-03 21:54:29 UTC.

02462016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 7 mentions; 2 submissions, 5 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 5 mentions; 0 submissions, 5 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC211
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC725
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC303
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC211
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC211
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC505
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC101
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101

From the project README

An excerpt from the repository, fetched Nov 13, 2026.

Read the project’s introduction
Introduction Guetzli is a JPEG encoder that aims for excellent compression density at high visual quality. Guetzli-generated images are typically 20-30% smaller than images of equivalent quality generated by libjpeg. Guetzli generates only sequential (nonprogressive) JPEGs due to faster decompression speeds they offer. Building On POSIX systems Get a copy of the source code, either by cloning this repository, or by downloading an archive and unpacking it. Install libpng. If using your operating system package manager, install development versions of the packages if the distinction exists. On Ubuntu, do apt-get install libpng-dev. On Fedora, do dnf install libpng-devel. On Arch Linux, do pacman -S libpng. On Alpine Linux, do apk add libpng-dev. Run make and expect the binary to be created in bin/Release/guetzli. On Windows Get a copy of the source code, either by cloning this repository, or by downloading an archive and unpacking it. Install Visual Studio 2015 and vcpkg Install libpng using vcpkg: .\vcpkg install libpng. Cause the installed packages to be available system-wide: .\vcpkg integrate install. If you prefer not to do this, refer to vcpkg's documentation. Open the Visual Studio project enclosed in the repository and build it. On macOS To install using Homebrew: Install Homebrew brew install guetzli To install using the repository: Get a copy of the source code, either by cloning this repository, or by downloading an archive and unpacking it. Install Homebrew or MacPorts Install libpng Using Homebrew: brew install libpng. Using MacPorts: port install libpng (You may need to use sudo). Run the following command to build the binary in bin/Release/guetzli. If you installed using Homebrew simply use make If you installed using MacPorts use CFLAGS='-I/opt/local/include' LDFLAGS='-L/opt/local/lib' make With Bazel There's also a Bazel build configuration provided. If you have Bazel installed, you can also compile Guetzli by running bazel build -c opt //:guetzli. Using Note: Guetzli uses a large amount of memory. You should provide 300MB of memory per 1MPix of the input image. Note: Guetzli uses a significant amount of CPU time. You should count on using about 1 minute of CPU per 1 MPix of input image. Note: Guetzli assumes that input is in sRGB profile with a gamma of 2.2. Guetzli will ignore any color-profile metadata in the image. To try out Guetzli you need to build or download the Guetzli binary. The binary reads a PNG or JPEG image and creates an optimized JPEG image: guetzli [--quality Q] [--verbose] original.png output.jpg guetzli [--quality Q] [--verbose] original.jpg output.jpg Note that Guetzli is designed to work on high quality images. You should always prefer providing uncompressed input images (e.g. that haven't been already compressed with any JPEG encoders, including Guetzli). While it will work on other images too, results will be poorer. You can try compressing an enclosed sample high quality image. You can pass a --quality Q parameter to set quality in units equivalent to libjpeg quality. You can also pass a --verbose flag to see a trace of encoding attempts made. Please note that JPEG images do not support alpha channel (transparency). If the input is a PNG with an alpha channel, it will be overlaid on black background before encoding.
Read the full README on GitHub

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