Prompt

Why is Squoosh not good for a real website workflow?

Technology / CDN & Edge Infrastructure1 observationLast seen Nov 3, 2026

Latest observation

Nov 3, 2026OpenAI APIWeb search: off

Squoosh is great for manual image compression, but it’s not ideal for a real website workflow because it’s mostly a single-file, browser-based tool rather than a production pipeline.

Main reasons:

  • Manual and slow at scale
    You have to open images one by one and tune settings yourself. That’s fine for a few assets, but not for dozens or hundreds.

  • Not automated
    Real workflows usually need batch processing, scripts, CI/CD integration, or build-tool support. Squoosh isn’t designed as an automation-first solution.

  • No easy repeatability
    It’s harder to guarantee consistent output across a team or over time compared with a scripted pipeline using tools like Sharp, ImageMagick, or build plugins.

  • Not integrated into deployment
    Website workflows often need image optimization as part of the build process or asset pipeline. Squoosh is separate from that flow.

  • Limited for responsive/image variants workflows
    Real sites often need multiple sizes, formats, and densities (srcset, AVIF/WebP fallbacks, etc.). Squoosh can help generate them, but it doesn’t manage that end-to-end.

  • Human error risk
    Because settings are chosen manually, different team members may produce inconsistent results.

Best use case:

  • Quickly testing compression settings
  • Optimizing a few important images by hand
  • Learning how different codecs affect quality and size

Better for production workflows:

  • Sharp
  • imagemin
  • Build tool plugins
  • Server-side or CI-based optimization pipelines

If you want, I can also explain when Squoosh is perfectly fine vs when it becomes a bottleneck.

Observation history

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