Image MIME Reference
FLIF
Free Lossless Image Format
image/flif
VS
High-Throughput JPEG 2000 Image
image/jph
HTJ2K-(JPH)
A complete technical comparison of Free Lossless Image Format and High-Throughput JPEG 2000 Image — covering compression, feature support, browser compatibility, magic bytes, and when to choose each format.
Equal browser support
Feature Support
| Feature | FLIF | HTJ2K-(JPH) |
|---|---|---|
| Transparency (Alpha) | Yes | Yes |
| Animation Support | Yes | ✕ No |
| Progressive Loading | Yes | Yes |
| HDR Support | Yes | Yes |
| EXIF Metadata | Yes | Yes |
| ICC Color Profile | Yes | Yes |
Free Lossless Image Format
image/flif
Extension
.flif
Container
FLIF Bitstream
Compression
Lossless (MANIAC Entropy Coding)
Algorithm
MANIAC (Meta-Adaptive Near-zero Integer Arithmetic Coding)
Color Depth
1-bit to 16-bit (Per Channel), Grayscale, RGB, RGBA, CMYK
Developed by
Jon Sneyers and Pieter Wuille (Cloudinary)
Released
2015
Magic Bytes
46 4C 49 46
High-Throughput JPEG 2000 Image
image/jph
Extension
.jph
Container
JPH (ISO/IEC 15444-15)
Compression
Lossy / Lossless
Algorithm
High-Throughput JPEG 2000 (HTJ2K)
Color Depth
8-bit, 16-bit, 32-bit, 38-bit
Developed by
Joint Photographic Experts Group (JPEG)
Released
2019
Magic Bytes
00 00 00 0C 6A 50 20 20 0D 0A 87 0A ... 66 74 79 70 6A 70 68 20
Browser Support Comparison
| Browser | FLIF | HTJ2K-(JPH) |
|---|---|---|
Chrome
|
✕ | ✕ |
Firefox
|
✕ | ✕ |
Safari
|
✕ | ✕ |
Edge
|
✕ | ✕ |
IE (Legacy)
|
✕ | ✕ |
FLIF
FLIF Strengths
- Achieves some of the highest lossless compression ratios ever developed for raster images
- Incredible progressive decoding allows an image to be highly recognizable even after only 5% of the file has been downloaded
- Supports animations and complex alpha channels losslessly
Limitations
- Officially abandoned in favor of JPEG XL
- Zero native support in web browsers or standard operating system previewers
- Encoding speed can be significantly slower than standard PNG or WebP compression
HTJ2K-(JPH)
HTJ2K-(JPH) Strengths
- Delivers orders of magnitude faster encoding and decoding than standard JPEG 2000 by utilizing a new, parallelizable block coder
- Supports mathematically lossless and lossy compression within the same codestream architecture
- Allows for resolution scalability, progressive decoding, and region-of-interest extraction without needing to decode the entire image
Limitations
- Zero native web browser support, requiring specialized libraries, API conversions, or WebAssembly (like OpenJPH.js) for web deployment
- Lack of broad consumer awareness, keeping it confined to professional, medical, and scientific workflows
- Requires more advanced software ecosystems to decode than ubiquitous formats like JPEG or WebP
When to choose which format
FLIF
Use FLIF when…
- Archival of Uncompressed Image Assets
- Bandwidth-Constrained Progressive Image Loading (Historical)
- Medical and Scientific Imaging Storage
HTJ2K-(JPH)
Use HTJ2K-(JPH) when…
- Medical Imaging (DICOM)
- Geospatial Data
- Digital Cinema
- Professional Archiving