KoalaPic vs Squoosh

Batch processing and API vs. client-side single-image compression

The Bottom Line

Squoosh is the gold standard for single-image, hands-on compression with its client-side processing and visual comparison. KoalaPic is built for batch workflows, format conversion, and automation via API and bots. If you're optimizing one hero image and want pixel-level control, Squoosh is fantastic. If you're converting 30 HEIC photos to JPG for a client, resizing for Instagram, or building conversion into your app via API, KoalaPic is the right tool.

Feature Comparison

Price
KoalaPic
100% free
Squoosh
100% free
Processing
KoalaPic
Server-side with 1-hour file retention
Squoosh
Client-side — files never leave your device
Batch Processing
KoalaPic
Up to 50 files at once with ZIP download
Squoosh
Single image only
Format Conversion
KoalaPic
155 conversion pairs across 20 input and 11 output formats
Squoosh
Compression/re-encoding only — limited format conversion
API Access
KoalaPic
Free REST API with webhooks and SSE streaming
Squoosh
No API — browser-only tool
Smart Quality
KoalaPic
Automated SSIM-based optimization
Squoosh
Manual slider with visual comparison
Visual Comparison
KoalaPic
Before/after comparison tool at /compare/
Squoosh
Built-in side-by-side real-time comparison
Bot Integrations
KoalaPic
Telegram, Discord, WhatsApp, Slack bots
Squoosh
No bot integrations
Resize Presets
KoalaPic
20 platform presets for social media and web
Squoosh
Resize available but no presets
Open Source
KoalaPic
Closed source
Squoosh
Fully open source (Apache 2.0)
Offline Support
KoalaPic
PWA with offline page
Squoosh
Full offline support via WebAssembly
Camera RAW Support
KoalaPic
CR2, NEF, ARW, DNG, ORF, RW2, RAF input
Squoosh
No RAW camera format support

Where KoalaPic Excels

  • Batch processing of up to 50 images at once with ZIP download
  • Full format conversion between 155 pairs (Squoosh is compression-only)
  • Free REST API for automation, CI/CD pipelines, and integrations
  • Bot integrations for Telegram, Discord, WhatsApp, and Slack
  • 20 platform presets for social media and web optimization
  • Camera RAW format support (CR2, NEF, ARW, DNG, and more)

Where Squoosh Excels

  • Fully client-side — files never leave your device (ultimate privacy)
  • Open source under Apache 2.0 license
  • Built-in real-time visual side-by-side comparison for compression tuning

Detailed Comparison

Squoosh is Google's open-source image optimization tool that runs entirely in your browser. It processes images client-side using WebAssembly, meaning your files never leave your device. Its visual side-by-side comparison lets you see compression quality in real time before downloading.

KoalaPic takes a server-side approach that enables features Squoosh can't offer: batch processing of up to 50 images, format conversion between 155 pairs, a REST API for automation, resize presets, and messaging bot integrations. KoalaPic also offers smart SSIM-based quality optimization that automates what Squoosh requires you to do manually.

Squoosh is excellent for hands-on, single-image optimization where you want pixel-level control. KoalaPic is built for productivity — converting and compressing multiple files quickly with automated quality optimization.

Visit Squoosh's website →

Frequently Asked Questions

Squoosh processes everything client-side in your browser, so files never leave your device. KoalaPicprocesses server-side but automatically deletes all files after 1 hour. Squoosh has the privacy edgefor sensitive images.
Squoosh primarily focuses on compression and re-encoding within supported codecs. KoalaPic supportsfull format conversion across 155 pairs, including camera RAW, HEIC, SVG, PDF, and more.
If you need batch processing, format conversion, an API for automation, or messaging bot integrations,KoalaPic covers those needs. Squoosh is designed for single-image, manual compression optimization.
KoalaPic offers a free REST API that works perfectly in automated pipelines. Squoosh has a CLI tool(squoosh-cli) but it's no longer actively maintained by Google.

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