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Image MIME Reference
JPEG-AI-Sequence

JPEG AI Image Sequence

image/jais
VS

Sony SR2 Raw Image

image/x-sony-sr2
Sony-SR2

A complete technical comparison of JPEG AI Image Sequence and Sony SR2 Raw Image — covering compression, feature support, browser compatibility, magic bytes, and when to choose each format.

Equal browser support

Feature Support

Feature JPEG-AI-Sequence Sony-SR2
Transparency (Alpha) Yes ✕ No
Animation Support Yes ✕ No
Progressive Loading Yes ✕ No
HDR Support Yes Yes
EXIF Metadata Yes Yes
ICC Color Profile Yes Yes
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)
Full JPEG-AI-Sequence reference →
Sony SR2 Raw Image
image/x-sony-sr2
Extension
.sr2
Container TIFF-based (Proprietary)
Compression Uncompressed / Sony Proprietary Lossless
Algorithm
NoneSony Proprietary Lossless
Color Depth 12-bit (Per Channel)
Developed by Sony Corporation
Released 2005
Magic Bytes
49 49 2A 00
Full Sony-SR2 reference →

Browser Support Comparison

Browser JPEG-AI-Sequence Sony-SR2
Chrome Chrome
✕ ✕
Firefox Firefox
✕ ✕
Safari Safari
✕ ✕
Edge Edge
✕ ✕
IE 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
Sony-SR2

Sony-SR2 Strengths

  • Retains raw, unprocessed sensor data from legacy cameras, allowing modern raw processors to extract vastly superior image quality than what was possible in 2005
  • Utilizes a standard TIFF container structure, ensuring that community-maintained open-source decoding libraries (like LibRaw) can easily parse and maintain support for it indefinitely
Limitations
  • Completely obsolete format that has not been utilized in a new camera release in over a decade
  • MIME detection via magic bytes is unreliable due to TIFF header spoofing, requiring deeper EXIF inspection
  • Cannot be natively viewed in web browsers or standard operating system image viewers without specialized decoders

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
Sony-SR2
Use Sony-SR2 when…
  • Legacy Sony Cyber-shot/Alpha Photography
  • Non-destructive Image Post-Processing
  • Raw Imaging Archival

More comparisons

JPEG-AI-Sequence vs ACES → Sony-SR2 vs ACES → JPEG-AI-Sequence vs APNG → Sony-SR2 vs APNG → JPEG-AI-Sequence vs AVCI → Sony-SR2 vs AVCI → JPEG-AI-Sequence vs AVCS → Sony-SR2 vs AVCS → JPEG-AI-Sequence vs AVIF → Sony-SR2 vs AVIF → All comparisons →
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