Free webp to jpg
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Image MIME Reference
CGM

Computer Graphics Metafile

image/cgm
VS

JPEG AI Image Sequence

image/jais
JPEG-AI-Sequence

A complete technical comparison of Computer Graphics Metafile 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 CGM JPEG-AI-Sequence
Transparency (Alpha) Yes Yes
Animation Support ✕ No Yes
Progressive Loading ✕ No Yes
HDR Support ✕ No Yes
EXIF Metadata ✕ No Yes
ICC Color Profile Yes Yes
Computer Graphics Metafile
image/cgm
Extension
.cgm
Container CGM
Compression Uncompressed / Binary / Character / Clear Text
Algorithm
Deflate (in some WebCGM profiles)
Color Depth 8-bit, 16-bit, 24-bit, 32-bit
Developed by ISO / IEC
Released 1987
Magic Bytes
00 20 (Binary) / 42 45 47 49 4E 20 4D 45 54 41 46 49 4C 45 (Clear Text)
Full CGM 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 CGM JPEG-AI-Sequence
Chrome Chrome
✕ ✕
Firefox Firefox
✕ ✕
Safari Safari
✕ ✕
Edge Edge
✕ ✕
IE IE (Legacy)
✕ ✕
CGM

CGM Strengths

  • Strictly standardized by ISO, ensuring long-term archiving and cross-platform compatibility in engineering
  • Excellent support for rich metadata, hyperlinks, and technical hotspots via the WebCGM profile
  • Can store complex 2D geometry, rasters, and text in a single lightweight file
Limitations
  • Multiple encoding schemes (Binary, Character, Clear Text) make parser development difficult
  • Zero native support in modern web browsers without third-party plugins
  • Largely replaced by SVG for general-purpose 2D vector graphics on the web
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

CGM
Use CGM when…
  • Technical Illustrations
  • Aerospace & Defense (S1000D)
  • CAD/CAM
  • Geophysics
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

More comparisons

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