macOS
brew install guetzlilocal Homebrew formula metadata
sudo port install guetzliMacPorts ports tree · graphics/guetzli/Portfile · source: api.github.com
brew
Perceptual JPEG encoder. Version 1.0.1 via Homebrew; verified from local package data.
install
brew install guetzlilocal Homebrew formula metadata
sudo port install guetzliMacPorts ports tree · graphics/guetzli/Portfile · source: api.github.com
sudo apk add guetzliAlpine Linux edge package indexes · guetzli · source: dl-cdn.alpinelinux.org
sudo apt install guetzliDebian stable package indexes · guetzli · source: deb.debian.org
nix profile install nixpkgs#guetzlinixpkgs package indexes · pkgs/by-name/gu/guetzli/package.nix · source: api.github.com
sudo pacman -S guetzliArch Linux sync databases · guetzli · source: geo.mirror.pkgbuild.com
scoop install main/guetzliScoop official bucket manifest trees · bucket/guetzli.json · source: api.github.com
overview
Perceptual JPEG encoder
history
Guetzli is Google's perceptual JPEG encoder for producing smaller sequential JPEG files at high visual quality. It belongs to the same family of format-compatible compression experiments as Zopfli: spend more CPU time during encoding while keeping output compatible with existing decoders.
Google announced Guetzli as open source on 2017-03-16. The announcement described it as a JPEG encoder for digital images and web graphics that targeted file-size reductions while remaining compatible with existing browsers, image-processing applications, and the JPEG standard.
The repository README says Guetzli-generated images are typically 20-30 percent smaller than libjpeg images of equivalent quality, and that Guetzli emits sequential, non-progressive JPEGs. The implementation uses a psychovisual approach focused on quantization decisions, with Butteraugli-related perceptual modeling present in the repository.
Guetzli was quickly packaged because it offered an easy experiment for web image optimization: a single CLI that reads PNG or JPEG input and writes optimized JPEG output. The official README documents Homebrew and MacPorts installation paths, and the input metadata records packaging across Alpine, Homebrew, Debian, MacPorts, Nix, Arch, Scoop, and Ubuntu.
Its adoption was bounded by cost. The README warns that it uses about 300 MB of memory per megapixel and roughly one minute of CPU per megapixel, making it better suited to offline asset pipelines than interactive image conversion.
The CLI usage is direct: `guetzli [--quality Q] [--verbose] original.png output.jpg` or the same with JPEG input. The README recommends high-quality, preferably uncompressed input and notes that PNG alpha is flattened onto black because JPEG has no alpha channel.
Guetzli assumes sRGB input with gamma 2.2 and ignores color-profile metadata. That assumption is important in package notes because it affects whether the tool is appropriate for a given image workflow.
Guetzli is a package-nerd favorite because it embodies a clear tradeoff: excellent density for legacy JPEGs, paid for with CPU and memory. It is a compact command-line artifact from a major research organization, easy to package, easy to benchmark, and easy to compare against libjpeg, MozJPEG, Zopfli, WebP, JPEG XL, and later Jpegli work.
Google's later Jpegli announcement explicitly places newer JPEG work in relation to earlier Guetzli-style heuristics, making Guetzli part of the historical path from high-effort JPEG optimization toward faster modern JPEG-compatible encoders.
security posture
narrow executable package without higher-risk signals.
green risk · low confidence · appliance
Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.
executables
| Command | Kind | Exposure | Note |
|---|---|---|---|
guetzli | cli | global executable |
freshness
These signals separate page generation age, package-manager activity, and upstream release comparison. Version lag is warned only when an evidence URL and comparable versions are present.
https://github.com/google/guetzli
install metadata
| Package key | brew:guetzli |
|---|---|
| Version | 1.0.1 |
| Package manager | Homebrew |
| Package manager page | https://formulae.brew.sh/formula/guetzli |
| Homepage | https://github.com/google/guetzli |
| Repository | https://github.com/google/guetzli |
| Upstream docs | https://github.com/google/guetzli#readme |
| License | Apache-2.0 |
| Source archive | https://github.com/google/guetzli/archive/refs/tags/v1.0.1.tar.gz |
| Dependencies | libpng |
| Build dependencies | pkgconf |
| Bottle | available (on arm64_big_sur, arm64_linux, arm64_monterey, arm64_sequoia, arm64_sonoma, arm64_tahoe, arm64_ventura, big_sur, catalina, monterey, sonoma, ventura, x86_64_linux) |
| Homebrew post-install | not defined |
| Service | none declared |
registry facts
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | guetzli |
| Version Scheme | 0 |
| Revision | 0 |
| Head Version | HEAD |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
source database matches
Matches are pulled from external package-manager indexes and kept separate from local Automic Vault package links.
guetzli 1.0.1-2
perceptual JPEG encoder
https://github.com/google/guetzli
sudo apt install guetzliguetzli
nix profile install nixpkgs#guetzliguetzli 1.0.1-1build3
perceptual JPEG encoder
https://github.com/google/guetzli
sudo apt install guetzliguetzli 0_git20191025-r3
Perceptual JPEG encoder that aims for excellent compression density at high visual quality
https://github.com/google/guetzli
sudo apk add guetzliguetzli-dev 0_git20191025-r3
Perceptual JPEG encoder that aims for excellent compression density at high visual quality (development files)
https://github.com/google/guetzli
sudo apk add guetzli-devguetzli 1.0.1-5
Perceptual JPEG encoder
https://github.com/google/guetzli
sudo pacman -S guetzliguetzli
sudo port install guetzlimain/guetzli
scoop install main/guetzlisource trail
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View the package source record on GitHub.