Bild
RawTherapee
A powerful cross-platform raw photo processing program
★ 4,2 Tsd. SterneGPL-3.0
Anleitung ansehen →squoosh ist ein Open-Source-Projekt aus der Kategorie Bild von GoogleChromeLabs (GoogleChromeLabs/squoosh auf GitHub). Es hat 25.984 Sterne auf GitHub und 2.178 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 23. September 2026 auf GitHub aktualisiert.
Make images smaller using best-in-class codecs, right in the browser.
Generation studio, upscaler, background remover, or photo library — match the tool to the task.
Desktop apps, Docker images, and portable builds cover most platforms; pick the simplest for your OS.
Generation tools need checkpoint files; utilities like upscalers usually bundle everything.
Generate, enhance, or import — then export, share, or keep building your library.
Single-job tools (upscale, de-background, restore) that do one thing excellently.
Bring any compatible open checkpoint; you are never locked to one vendor's style.
Your images stay on your machine — important for client work and privacy.
The defining trait of this whole category: professional results without monthly fees.
Edits stay reversible; originals are never touched.
Run whole folders through upscalers and converters unattended.
Download the source and move into the project folder.
git clone https://github.com/GoogleChromeLabs/squoosh.git
cd squooshEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at GoogleChromeLabs/squoosh with 2,178 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
For generation: a polished studio interface. For enhancement: a dedicated upscaler. For libraries: a photo manager.
With the right open checkpoints, absolutely — the interface matters less than the model you load.
Mostly yes under MIT/Apache/GPL — but verify each license, especially for client deliverables.
A powerful cross-platform raw photo processing program
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.