MiniPx vs MozJPEG
MiniPx
minipx.comMozJPEG
github.comSide by side
| Figure | MiniPx | MozJPEG |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 3 | 1 |
| Spec score · Image Compression Software | 8.8 (#8) | 8.2 (#32) |
| API access | No | Yes |
| Compression modes | both | both |
| Free plan | Yes | Yes |
| Metadata controls | Yes | Yes |
| Supported formats | JPEG,PNG,WebP,AVIF,HEIC,BMP,SVG,GIF,TIFF | PPM,PGM,BMP,GIF,Targa |
Plans
In their own words
MiniPx
MiniPx is a browser-based tool for compressing, converting, and resizing images, with additional tools for background removal, upscaling, and passport photo creation. Its free plan keeps compression, conversion, and resizing unlimited without signup or a daily cap. It accepts JPEG, PNG, WebP, AVIF, HEIC, BMP, SVG, GIF, and TIFF files; free batches are limited to five files. Compression presets are Gentle, Smart, and Tiny, and users can set a target size from 10 KB through 1 MB. Compression, conversion, and resizing run locally in the browser without uploading image files, and outputs remove EXIF metadata such as location and device information. Those core tools work offline after the first page load. Three on-device AI tools share two free runs before a cooldown, and need model downloads on first use. Pro adds unlimited batch processing, text watermarking, presets, responsive exports, and an opt-in cloud path for seven AI tools. The free plan costs nothing. Pro Annual costs $2,939 a year; no monthly Pro price is listed.
MozJPEG
MozJPEG is a free, open-source library project that improves JPEG compression efficiency to produce smaller files and higher visual quality. It is intended for graphics programs and image-processing tools, and programs using the libjpeg API can integrate it without MozJPEG-specific integration code. It is compatible with the JPEG standard and the vast majority of deployed JPEG decoders. When converting other formats to JPEG, it uses trellis quantization to target the quality-to-file-size ratio. Its progressive encoding with jpegrescan optimization can losslessly reduce the size of a JPEG when used with jpegtran. The project’s improvements can be disabled at runtime, returning it to libjpeg-turbo behavior. The repository includes a demo cjpeg command-line tool, which is not intended for serious use. Build instructions cover Unix-like systems, macOS, Linux, and Windows with Visual C++ or MinGW. The GitHub repository identifies version 4.1.1 on its latest release page. MozJPEG points users to libjpeg-turbo documentation for additional build help; its repository does not state security certifications or compliance claims.