Image MIME Reference
JPEG-AI-Sequence
JPEG AI Image Sequence
image/jais
VS
PTI Image (Personal/Vanity Tree)
image/prs.pti
PTI
A complete technical comparison of JPEG AI Image Sequence and PTI Image (Personal/Vanity Tree) — covering compression, feature support, browser compatibility, magic bytes, and when to choose each format.
Equal browser support
Feature Support
| Feature | JPEG-AI-Sequence | PTI |
|---|---|---|
| Transparency (Alpha) | Yes | ✕ No |
| Animation Support | Yes | ✕ No |
| Progressive Loading | Yes | ✕ No |
| HDR Support | Yes | ✕ No |
| EXIF Metadata | Yes | ✕ No |
| ICC Color Profile | Yes | ✕ No |
JPEG AI Image Sequence
image/jais
Extension
.jais
Container
ISOBMFF / HEIF Image Sequence
Compression
Lossy (Variational Autoencoder / Neural Network)
Algorithm
Deep Neural Network (Variational Autoencoder with Hyperpriors)
Color Depth
8-bit, 10-bit, 12-bit, 16-bit, Wide-gamut & HDR
Developed by
Joint Photographic Experts Group (ISO/IEC JTC 1 / ITU-T)
Released
2025
Magic Bytes
.. .. .. .. 66 74 79 70 6A 61 69 73 (Size + ftypjais)
PTI Image (Personal/Vanity Tree)
image/prs.pti
Extension
.pti
Container
Proprietary
Compression
Unknown / Proprietary
Algorithm
Unknown
Color Depth
Unknown
Developed by
Jürn Laun
Released
1999
Magic Bytes
Unknown
Browser Support Comparison
| Browser | JPEG-AI-Sequence | PTI |
|---|---|---|
Chrome
|
✕ | ✕ |
Firefox
|
✕ | ✕ |
Safari
|
✕ | ✕ |
Edge
|
✕ | ✕ |
IE (Legacy)
|
✕ | ✕ |
JPEG-AI-Sequence
JPEG-AI-Sequence Strengths
- Extends the state-of-the-art compression efficiency of JPEG AI to multi-frame image sequences and short animations
- Allows machine vision algorithms to process temporal sequences (like surveillance bursts) directly in the compressed latent domain, saving immense computational power
- Utilizes the robust, industry-standard ISOBMFF container for metadata, timing, and multi-track encapsulation
Limitations
- Lacks native decoding support in current web browsers, operating systems, and video players
- Decoding neural-network-compressed sequences requires significant compute overhead on hardware lacking dedicated AI accelerators (NPUs/GPUs)
- Adoption is hindered by competition with established sequence formats like AVIF, HEVC (HEICS), and modern video codecs
PTI
PTI Strengths
- Provided a registered MIME type namespace for a specific application's proprietary image format without conflicting with standard web types
Limitations
- Completely undocumented and unsupported in modern ecosystems
- Zero web browser compatibility
- Falls into the 'vanity' tree, making it irrelevant for standard cross-platform data exchange
When to choose which format
JPEG-AI-Sequence
Use JPEG-AI-Sequence when…
- Machine Vision and AI Video/Burst Workflows
- Cloud Storage Animation Optimization
- Focal Stacks and Medical Volumetric Slices
- Visual Surveillance Sequences
PTI
Use PTI when…
- Legacy Application Specific Workflows
- Proprietary Image Storage