Dev tools · alternatives · 2026
24 alternatives to Squish
Batch browser-based image compression
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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OptimizeImages▲326Convert & compress images up to 90%, webp & AVIF supported
2022 · optimizeimages.com · its alternatives →
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Compress JPG, PNG, GIF, AVIF & WebP images instantly
Jul 2026 · 99tools.net · its alternatives →
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Image optimizer — no uploads, all in-browser
Jul 2026 · image-compression-hazel.vercel.app · its alternatives →
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Squishify lets you prep images fast without uploading anything. Work entirely in your browser to batch resize, crop, rename, convert formats, and compress while previewing results. Drag in up to 50 images, apply edits to all or fine-tune individually, then download optimized file
14d ago · squishify.app · its alternatives →
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Free browser tool to compress & resize images, no uploads
2025 · image-compressor-saas.shop · its alternatives →
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Fast png, jpeg & webp compressor | compressimg
2025 · compressimg.app · its alternatives →
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Squeeze ▲7Free & open-source image compression that beats Squoosh.
Dec 2025 · squeeze.designbyte.dev · its alternatives →
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100% local batch image compression — now with AVIF
Jul 2026 · compressfast.site · its alternatives →
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Make images smaller, right in the browser.
2018 · squoosh.app · its alternatives →
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Compress images privately — no uploads, no quality loss
Jan 2026 · pixelpress.replit.app · its alternatives →
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Compress images privately in your browser, no uploads
Jun 2026 · compresswise.com · its alternatives →
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Squeezr▲6Squeeze the weight, keep the quality - Free image compressor
Jan 2026 · getsqueezr.com · its alternatives →
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Batch compress images fast in your browser for free
Feb 2026 · its alternatives →
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Free online image compressor
2025 · brillex.io · its alternatives →
- 24
I'd like to share a little toy project of mine, a really simple image codec that can do lossy to full lossless image compression with complete scalability at a byte level granularity - you can compress an image just once, even fully losslessly if needed, and then get any lossy version possible by simply stopping decompression at any offset in the compressed data. This "encode onde, serve many" approach is especially interesting for providing downscaled low quality image previews (LQIP) in as tight a storage budget as possible, and then allowing seamless, transparent refinement as deemed…
2024 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →