Image MIME Reference
BTIF
Bank Telecommunications Image Format
image/prs.btif
VS
JPEG AI Image Sequence
image/jais
JPEG-AI-Sequence
A complete technical comparison of Bank Telecommunications Image Format and JPEG AI Image Sequence — covering compression, feature support, browser compatibility, magic bytes, and when to choose each format.
Equal browser support
Feature Support
| Feature | BTIF | JPEG-AI-Sequence |
|---|---|---|
| Transparency (Alpha) | ✕ No | Yes |
| Animation Support | ✕ No | Yes |
| Progressive Loading | ✕ No | Yes |
| HDR Support | ✕ No | Yes |
| EXIF Metadata | ✕ No | Yes |
| ICC Color Profile | ✕ No | Yes |
Bank Telecommunications Image Format
image/prs.btif
Extension
.btif.btf
Container
Proprietary Check Image Container
Compression
Lossy (JPEG-based) / Lossless (TIFF-based)
Algorithm
JPEGTIFF-variant
Color Depth
1-bit (B&W), 8-bit (Grayscale)
Developed by
NationsBank (Bank of America) / Ben Simon
Released
1998
Magic Bytes
Unknown (Proprietary container)
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)
Browser Support Comparison
| Browser | BTIF | JPEG-AI-Sequence |
|---|---|---|
|
|
✕ | ✕ |
|
|
✕ | ✕ |
|
|
✕ | ✕ |
|
|
✕ | ✕ |
|
|
✕ | ✕ |
BTIF
BTIF Strengths
- Allowed early digital archiving and web-based transmission of cleared bank checks
- Encapsulated both image data and ASCII transaction metadata in a single file
Limitations
- Completely proprietary and obsolete format
- Lacks native support in modern operating systems and image viewers
- Requires legacy plugins or specialized bio-format readers (like ImageC) to decode
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
When to choose which format
BTIF
Use BTIF when…
- Bank Check Archiving (Legacy)
- Financial Transaction Records
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