Life & fun · alternatives · 2026
24 alternatives to PhotoFun Compressor
Efficient local image compression tool
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. PhotoFun Compressor launched in 2022; newer entries below may have overtaken it.
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Make images smaller, right in the browser.
2018 · squoosh.app · its alternatives →
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CompressImage.io▲261Reduce image size up to 90% in seconds, free & works offline
2022 · compressimage.io · its alternatives →
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Compress Image▲175Hi HN, CompressImageX.com is a straightforward image compressor that helps reduce file sizes without killing quality. •Adjustable quality settings (lossy/lossless) •Batch compression supported •Fast, works offline (thanks to WebAssembly) •No watermarks, no tracking Useful for devs, bloggers, or anyone who wants lighter images. Let me know what you think!
2024 · compressimage.app · its alternatives →
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Compress images fast, securely, and for free—no API call
2025 · image-compressor.github.io · its alternatives →
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Dramatically compress JPG and PNG Images, convert PSD to JPG
2018 · bzgapps.com · 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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Compressio▲92Free, open source image compression API & webapp
2021 · compressio.app · its alternatives →
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JavaScript image compressor. Contribute to fengyuanchen/compressorjs development by creating an account on GitHub.
2017 · github.com · its alternatives →
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The Real Quick image compressor that respects your privacy.
2024 · its alternatives →
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Compress Images Online for Free Without Losing Quality
Jul 2026 · globaltoolsbox.online · its alternatives →
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Free online image compressor
2025 · gyandhaara.in · its alternatives →
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Compress JPEG, PNG, SVG, Gif files with the Best Quality
2024 · fonedog.com · its alternatives →
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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 →