LibreAI / Image / squoosh
// image · GoogleChromeLabs/squoosh

squoosh

Make images smaller using best-in-class codecs, right in the browser.

★ 26.0k stars⑂ 2.2k forksApache-2.0updated 2026-09
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

squoosh is an open-source image project by GoogleChromeLabs (GoogleChromeLabs/squoosh on GitHub). It has 25,984 GitHub stars and 2,178 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 23 September 2026.

GitHub stars
25,984
Forks
2,178
License
Apache-2.0
Last updated on GitHub
23 September 2026
Category
Image
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Choose the right tool

    Generation studio, upscaler, background remover, or photo library — match the tool to the task.

  2. Install it your way

    Desktop apps, Docker images, and portable builds cover most platforms; pick the simplest for your OS.

  3. Add models if needed

    Generation tools need checkpoint files; utilities like upscalers usually bundle everything.

  4. Create or organize

    Generate, enhance, or import — then export, share, or keep building your library.

// features

Why people love it

Purpose-built utilities

Single-job tools (upscale, de-background, restore) that do one thing excellently.

Model freedom

Bring any compatible open checkpoint; you are never locked to one vendor's style.

Runs locally

Your images stay on your machine — important for client work and privacy.

No subscriptions

The defining trait of this whole category: professional results without monthly fees.

Non-destructive

Edits stay reversible; originals are never touched.

Batch processing

Run whole folders through upscalers and converters unattended.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/GoogleChromeLabs/squoosh.git
    cd squoosh
  2. Step 2 — Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 — Run it

    Follow the project's launch command — Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

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// faq

Questions, answered

Who maintains squoosh?

It 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.

Is squoosh free for commercial use?

Apache 2.0 licensed — commercial use allowed with attribution.

Which should I start with?

For generation: a polished studio interface. For enhancement: a dedicated upscaler. For libraries: a photo manager.

Can they match Midjourney quality?

With the right open checkpoints, absolutely — the interface matters less than the model you load.

Are they free for commercial work?

Mostly yes under MIT/Apache/GPL — but verify each license, especially for client deliverables.

// keep exploring

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// alternatives

Alternatives in Image

The most-starred other Image projects in the LibreAI catalogue — the realistic shortlist if squoosh is not the right fit.

Get squoosh

Free and open — grab the source, star the repo, and start creating.