# Squoosh

> Analysis by Optimly for Optimly AI Visibility, in the Optimly AI Brand Index. Last analyzed August 9, 2026.

> Squoosh is an open-source web application by Google that allows users to compress and compare images with various codecs in the browser.

- Business Profile: https://optimly.ai/brand/squoosh
- Publisher: Optimly (https://optimly.ai)
- Dataset: Optimly AI Brand Index (https://optimly.ai/brand)
- Official website: https://squoosh.io/
- Logo: https://logo.clearbit.com/squoosh.io
- Slug: squoosh
- Brand Authority Index tier: Low Visibility
- Archetype: Phantom
- Category: Image Optimization
- Last Analyzed: August 9, 2026

## Buyer Intent Signals
Problems: Server-Side Image Processing: Implementing custom scripts or libraries on a server (e.g., ImageMagick, libvips) to handle image compression and optimization, requiring development resources and mainte | No Image Optimization: Uploading images to websites without any compression, leading to large file sizes, slower page loading times, increased bandwidth usage, and a poor user experience.
Solutions: Desktop Image Editors: Using traditional image editing software like Adobe Photoshop or GIMP to manually export and compress images, which can be more time-consuming and less efficient for web optimiz
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## Full Details / RAG Data
### Overview
Squoosh has a Business Profile in the Optimly AI Brand Index.
Squoosh is an open-source web application by Google that allows users to compress and compare images with various codecs in the browser.
### Metadata
| Field        | Value |
|--------------|-------|
| Name         | Squoosh |
| Slug         | squoosh |
| URL          | https://optimly.ai/brand/squoosh |
| Logo         | https://logo.clearbit.com/squoosh.io |
| Brand Authority Index tier | Low Visibility |
| Archetype    | Phantom |
| Category     | Image Optimization |
| Last Analyzed | August 9, 2026 |
| Last Updated | 2026-08-11T02:34:03.814Z |
### Verified Facts
- Founded: 2018
- Headquarters: Mountain View, California (Google)
### Buyer Intent Signals
#### Problems this brand solves
- Server-Side Image Processing: Implementing custom scripts or libraries on a server (e.g., ImageMagick, libvips) to handle image compression and optimization, requiring development resources and mainte
- No Image Optimization: Uploading images to websites without any compression, leading to large file sizes, slower page loading times, increased bandwidth usage, and a poor user experience.
#### Buyers search for
- Desktop Image Editors: Using traditional image editing software like Adobe Photoshop or GIMP to manually export and compress images, which can be more time-consuming and less efficient for web optimiz
### Links
- Canonical page: https://optimly.ai/brand/squoosh
- Publisher: https://optimly.ai
- Dataset: https://optimly.ai/brand
- JSON endpoint: /brand/squoosh.json
- LLMs.txt: /brand/squoosh/llms.txt