Pixotter vs Squoosh: Full Comparison

Feature Comparison

Client-Side Tools, Different Design Goals

Squoosh and Pixotter share a rare trait among web-based image tools: both process images entirely in the browser. No server uploads, no privacy concerns, no waiting for a connection to finish transferring files. But they were designed for different users solving different problems, and understanding those design goals explains when each tool is the right choice.

Squoosh was built by the Google Chrome team as a showcase for WebAssembly codecs and browser-based image encoding. Its primary purpose is letting you explore exactly how different codecs encode a single image. You load one image, choose an output format (MozJPEG, WebP, AVIF, OxiPNG, and several others), adjust granular settings (quality, effort level, color space, chroma subsampling, progressive rendering), and compare the result side-by-side with the original in real time. The live preview slider — where you drag left and right to see before/after — is the best visual compression comparison tool on the web.

Pixotter was built for the daily image workflow. You drop a batch of images, select the operations you need — compress, resize, convert, crop, watermark — and process them all at once. The pipeline architecture chains operations: compress to quality 75, resize to 1080px wide, convert to WebP, all in one pass. Download individual files or everything as a ZIP.

These are complementary tools, not direct competitors. Squoosh is for when you care deeply about one image and want to understand exactly what the encoder is doing to it. Pixotter is for when you have work to do and need 15 images ready for your website, email, or social media in the next two minutes.

Batch processing: the fundamental divide. Squoosh processes exactly one image per session. If you have 10 product photos to optimize, you load each one individually, adjust settings, save, and repeat. For a batch of 20, that is 20 manual sessions. Squoosh does have a CLI tool (squoosh-cli) that supports batch processing, but the web app — which is what most people use — is strictly single-image. Note that squoosh-cli has been deprecated and is no longer actively maintained.

Pixotter handles up to 20 images per pipeline run. Drop them all at once, configure your settings once, and process the entire batch. For workflows where you regularly prepare images for blog posts, product catalogs, or social media, the time difference between processing 20 images one by one versus all at once is substantial — minutes versus seconds.

Codec control: where Squoosh excels. Squoosh exposes encoding parameters that no other web tool surfaces. For MozJPEG alone, you can adjust quality, smoothing, color space (YCbCr, RGB, greyscale), chroma subsampling (4:4:4, 4:2:2, 4:2:0), progressive rendering, and scan optimization. For WebP, you get effort, method, SNS strength, filter strength, and more. For AVIF, you control effort, CQ level, subsampling, tiling, and tune settings.

Pixotter offers a quality slider and format selection — intentionally simpler. The quality slider maps to reasonable defaults in the underlying encoder, producing good results without requiring you to know what chroma subsampling is. For most web publishing, these defaults are excellent. But if you are a performance engineer optimizing a hero image for a site that gets millions of pageviews, or a developer comparing codec efficiency for a technical article, Squoosh's granular controls let you explore the encoding space in ways Pixotter's interface does not.

Preview quality: another Squoosh strength. Squoosh's side-by-side slider lets you visually compare original and compressed versions pixel by pixel. You can zoom in on areas of detail — text, edges, gradients — and see exactly where the compression introduces artifacts before committing to the output. Pixotter shows a before/after comparison with a slider as well, but Squoosh's implementation remains the benchmark for visual compression analysis.

Format support. Both tools handle the major web formats: JPEG, PNG, WebP, and AVIF. Squoosh also supports OxiPNG (optimized PNG), WebP v2 (experimental), JPEG XL (browser support limited), and QOI. Pixotter supports TIFF, GIF, and BMP in addition to the web-standard formats, covering a broader range of everyday input files. If you are experimenting with cutting-edge formats like JPEG XL, Squoosh is your only web-based option. If you need to handle TIFF from a print workflow or GIF animations, Pixotter covers those.

Development status. Squoosh's last significant feature update was several years ago. The GitHub repository has open issues and PRs but minimal recent activity. The tool still works well — it is fast, reliable, and the codec implementations are solid. But it is not actively adding new features. Pixotter is under active development with regular feature additions, new format support, and ongoing optimization. For a tool you plan to use long-term, active development means bugs get fixed, new formats get added, and the feature set grows.

The offline angle. Both Squoosh and Pixotter work as Progressive Web Apps (PWAs) and function offline after the initial load. For users in environments with unreliable internet — fieldwork, travel, restricted networks — both tools are usable without a connection. This is a meaningful advantage over server-dependent tools like TinyPNG or iLoveIMG.

Pricing

Bottom line on pricing: Both tools are free for web use. Squoosh has no paid tier and never will — it is an open-source Google project. Pixotter is free now with a Pro tier planned for power users. For API/CLI automation, Pixotter offers an active API; Squoosh's CLI is deprecated. The pricing question is less about cost and more about long-term investment: Squoosh is free but not actively evolving; Pixotter is actively developed with a clear product roadmap.