Free webp to jpg
Image MIME Reference
AOL-ART

AOL ART Image

image/x-jg
VS

JPEG AI Image Sequence

image/jais
JPEG-AI-Sequence

A complete technical comparison of AOL ART Image 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 AOL-ART JPEG-AI-Sequence
Transparency (Alpha) ✕ No Yes
Animation Support ✕ No Yes
Progressive Loading Yes Yes
HDR Support ✕ No Yes
EXIF Metadata ✕ No Yes
ICC Color Profile ✕ No Yes
AOL ART Image
image/x-jg
Extension
.art
Container Johnson-Grace Proprietary
Compression Proprietary Wavelet (Photos) / Proprietary Palette-based (Graphics)
Algorithm
Wavelet (similar to early JPEG 2000 concepts)Lossy DCT
Color Depth 8-bit (Indexed), 24-bit (RGB)
Developed by Johnson-Grace Company (Acquired by AOL)
Released 1994
Magic Bytes
4A 47 03 00 or 4A 47 04 00
Full AOL-ART reference →
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 →

Browser Support Comparison

Browser AOL-ART JPEG-AI-Sequence
Chrome Chrome
Firefox Firefox
Safari Safari
Edge Edge
IE IE (Legacy)
AOL-ART

AOL-ART Strengths

  • Historically provided massive file size reductions (up to 3x smaller than JPEGs of the era) and highly optimized progressive rendering for 14.4k modems
  • Enabled faster web browsing on the AOL network during the early days of the commercial internet
Limitations
  • Completely proprietary, heavily patent-encumbered, and never officially reverse-engineered for the open-source community
  • On-the-fly proxy compression ruined the visual fidelity of many 1990s websites for AOL users
  • Virtually impossible to open on modern operating systems without installing niche, legacy image viewers
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

AOL-ART
Use AOL-ART when…
  • Historical AOL Dial-up Web Browsing
  • Legacy America Online Client Assets
  • 1990s Internet Archival
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
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