UpaiPic

Best Squoosh Alternative — Batch Compression, Free & Fast

Illustration comparing slow cloud-based image processing on the left versus fast local browser processing on the right.

Google's Squoosh is a brilliant image compression tool — it offers fine-grained codec controls, a side-by-side diff view, and excellent output quality. But it has one fundamental limitation that frustrates power users: it only processes one image at a time. If you have 20 product photos to optimize before a website launch, Squoosh means 20 separate drag-and-drop operations.

UpaiPic is a free Squoosh alternative built for real-world workflows. Drop up to 10 images at once, process them in seconds, and download a single ZIP. Like Squoosh, everything runs locally in your browser — your images are never uploaded to any server.

Squoosh vs UpaiPic: Feature Comparison

Feature Squoosh UpaiPic
Batch processing One image at a time Up to 10 images at once
Bulk ZIP download No Yes
Server upload No — local processing No — local processing
Price Free Free
Manual codec controls Yes (advanced) Smart auto settings
Side-by-side diff viewer Yes No
Image resizing tool Basic resize only Full resize tool (px / %)
Image cropping tool No Yes (aspect ratio presets)
Background removal No Yes (AI-powered)
Mobile-friendly UI Limited on small screens Fully responsive

The Batch Problem: Why One-at-a-Time Doesn't Scale

Squoosh's single-image interface is excellent for perfectionists who want to dial in codec settings for one hero image. But most image optimization tasks involve collections of files:

  • A photographer exports 15 portfolio images for a client presentation.
  • A developer needs to optimize 8 product images before pushing a CMS update.
  • A social media manager prepares 10 images for a campaign post.

In each case, using Squoosh requires repeating the exact same workflow — drag, wait, download, drag again — for every single file. UpaiPic lets you drop all files at once and handles the rest in a single pass.

Workflow Tip

After compressing, UpaiPic shows each file's original size, compressed size, and savings percentage in a results grid. Download individual files or grab them all in a single ZIP with one click.

When Squoosh Is Still the Right Tool

Squoosh remains the best choice when you need granular technical control. Its codec selection is unmatched — it supports AVIF, JPEG XL, OptiPNG, and several WebAssembly-powered encoders not available in a standard browser Canvas. If you are fine-tuning a single large hero image and want pixel-level diff comparison, Squoosh wins on precision.

For bulk work, everyday optimization, and workflows that include cropping or resizing alongside compression, UpaiPic is the faster path.

Process Multiple Images at Once — Free

Drop up to 10 images. Compress, resize, convert, or crop — all in your browser, all at once.

Start Batch Compression

Frequently Asked Questions

Does UpaiPic upload my images like some other Squoosh alternatives do?

No. UpaiPic is fully client-side. Your images are processed entirely within your browser using the HTML5 Canvas API. Nothing is sent to a server. You can disconnect from the internet after the page loads and the compressor will still work.

What image formats does UpaiPic support?

UpaiPic handles JPEG, PNG, and WebP for compression and conversion. The crop and resize tools also support these formats plus GIF (static frames). The background removal tool outputs transparent PNG.

How does UpaiPic decide the output quality?

UpaiPic uses research-backed defaults: JPEG at 0.80 quality and WebP at 0.85 quality. These settings sit at the perceptual threshold where compression artifacts are not visible at normal screen viewing distances, while delivering significant file size reductions. There is no manual quality slider — the focus is on a fast, predictable workflow rather than fine-tuned control.

Can I resize images in UpaiPic like I can in Squoosh?

Yes. UpaiPic has a dedicated Image Resizer that supports pixel dimensions and percentage scaling, with aspect ratio locking. It operates as a separate tool rather than being embedded in the compression step, which keeps each tool focused and fast.