MozJPEG vs Pixozip
MozJPEG
github.comPixozip
pixozip.comSide by side
| Figure | MozJPEG | Pixozip |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 5 |
| Spec score · Image Compression Software | 8.2 (#32) | 8.7 (#10) |
| API access | Yes | Yes |
| Compression modes | both | both |
| Free plan | Yes | Yes |
| Metadata controls | Yes | Yes |
| Purpose | MozJPEG improves JPEG compression efficiency to achieve smaller files and higher visual quality. | Pixozip provides an HTTP API and web dashboard for optimizing uploaded image files. |
| Support | The project points users to libjpeg-turbo documentation for additional build help. | The pricing page lists community support for Free, email support for Starter, priority support for Pro, and dedicated support for Scale. |
| Supported formats | PPM,PGM,BMP,GIF,Targa | JPG,JPEG,PNG,WebP,AVIF,JPEG XL,GIF,TIFF,SVG |
Plans
Pixozip
- FreeFree
- ScalePrice not published
- EnterprisePrice not published
- Starter€10 a month
- Pro€45 a month
In their own words
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.