FilezyAI vs TinyPNG vs Squoosh

All three shrink images. Only one workflow is built for “must be under 50 KB” form rules — and for chaining resize + rename in the same job.

TinyPNG and Squoosh (Google) are well-regarded free compressors. We use them as benchmarks because people already trust them for “make this PNG smaller.” The gap appears when a government or exam portal publishes a hard KB ceiling and you also need a new format or pixel box — not just a lighter file.

This comparison is honest: TinyPNG and Squoosh are strong at what they do. FilezyAI targets a different job —combined requirements in one pass with min-max KB bands.

What each tool optimizes for

NeedTinyPNGSquooshFilezyAI
Quick PNG/JPG shrink for webExcellentExcellent (manual control)Good via compress
Hit exact KB range (e.g. 45–50 KB)Manual re-trialManual re-trialBuilt-in target search
Convert HEIC → JPG same stepNoNoYes
Resize to portal pixels same stepNoResize only, separate from batch renameYes
Rename to photo.jpg for validatorNoNoYes
PDF / Office documentsNoNoYes
Processing locationCloud uploadBrowser (local)Cloud; bg removal local

TinyPNG: best for fast batch photo shrink

TinyPNG’s strength is simplicity — drop PNG or JPG, get a smaller PNG or JPG. For blog images and Shopify product shots where “smaller is better” is enough, it remains a sensible choice.

Where it stops matching portal workflows: you cannot tell it “land between 40 and 50 KB” and walk away. You download, check size, adjust, repeat. If the form also wants 600×600 px and a specific filename, you add resize and rename tools — each with another JPG generation.

When to use FilezyAI instead: Compress JPG to 50 KB with resize and rename enabled on the same page.

Squoosh: best for pixel-level quality tuning in the browser

Squoosh shines when you want to stare at a before/after preview and tune WebP/AVIF/JPG codecs yourself. Because it runs locally, sensitive one-off images never leave your machine — a real advantage for a single asset you are hand-optimizing.

Trade-offs for form uploads: it is one image at a time, no PDF, no HEIC pipeline, no batch rename for twelve attachments. Hitting an exact KB cap still means you watch the output size and iterate.

When to use FilezyAI instead: batch exam photos, mixed HEIC + PNG sources, or when the portal PDF lists KB + pixels + filename together — try convert, compress, resize & rename.

The quality argument: one encode vs three

JPG is lossy. Every save through a different compressor throws away more detail. Convert on site A, compress on site B, resize on site C — three encodes. FilezyAI applies enabled steps in one server job so lossy compression runs once. That matters on 50 KB passport slots where you are already starved for bytes.

Practical recommendation

  • Keep using TinyPNG or Squoosh when you are optimizing assets for your own site and enjoy manual control.
  • Switch to FilezyAI when a third-party portal publishes numeric rules you must satisfy on the first resubmit.
  • Start here: decode the rejection message, then open the matching tool page.