About QuietPix
Image tools that respect your files.
Why this exists
Most free image tools upload your files to a server. Servers cost money. So those tools add limits: daily caps, file size ceilings, watermarks, credit systems. And your photos, documents and designs end up on someone else's machine.
QuietPix takes a different path. Modern browsers can run the same codecs and AI models that servers do, right on your device, using WebAssembly. So we ship the engine to you. Your files stay where they belong. Our costs stay near zero. The tools stay free and unlimited.
The numbers behind the approach
This architecture works because the ground shifted: WebAssembly now runs in roughly97% of browsers in use, which is why a codec that once needed a server farm runs in your tab. Meanwhile the old model's costs are real — email attachments inflate about 33% on the wire underbase64 encoding (RFC 2045), and Windows still ships HEVC/HEIC support as apaid Store add-on because of codec licensing. Every QuietPix tool exists somewhere in that gap: capable browsers, arbitrary limits, formats that refuse to open.
How it is built
QuietPix is built by an engineer who cares about doing this properly. Every tool is covered by automated tests that run real photos through the real pipeline in a real browser before any change ships. The site has no backend at all. There is nothing to hack, nothing to leak, nothing to subpoena.
Open source licenses
QuietPix stands on excellent open source software that runs entirely in your browser. In particular: ffmpeg.wasm (the core is licensed GPL-2.0-or-later; its complete source code is available in that repository and in the upstream FFmpeg and x264 projects), libheif (LGPL-3.0) for HEIC decoding, PDF.js and pdf-lib for PDF work, Squoosh codecs for AVIF and WebP, and Transformers.jswith ONNX Runtime for on-device AI. The AI models are open source too: GFPGAN (Apache-2.0) for face restoration, DDColor (Apache-2.0) for colorization, MODNet (Apache-2.0) for background removal, Swin2SR (Apache-2.0) for upscaling, and the OpenCV Zoo YuNetface detector (MIT). We are grateful to all of their maintainers.
Contact
Feedback and questions: infoquietpix@gmail.com