Free webp to jpg
Image MIME Reference
DPX

Digital Picture Exchange

image/dpx
VS

JPEG AI Image Sequence

image/jais
JPEG-AI-Sequence

A complete technical comparison of Digital Picture Exchange 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 DPX JPEG-AI-Sequence
Transparency (Alpha) Yes Yes
Animation Support ✕ No Yes
Progressive Loading ✕ No Yes
HDR Support Yes Yes
EXIF Metadata ✕ No Yes
ICC Color Profile ✕ No Yes
Digital Picture Exchange
image/dpx
Extension
.dpx
Container DPX (SMPTE ST 268)
Compression Uncompressed / RLE (Rarely used)
Algorithm
Uncompressed
Color Depth 8-bit, 10-bit, 12-bit, 16-bit, 32-bit (Float)
Developed by SMPTE (Society of Motion Picture and Television Engineers)
Released 1994
Magic Bytes
53 44 50 58 (Big-endian) / 58 50 44 53 (Little-endian)
Full DPX 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 DPX JPEG-AI-Sequence
Chrome Chrome
Firefox Firefox
Safari Safari
Edge Edge
IE IE (Legacy)
DPX

DPX Strengths

  • Industry standard for transferring uncompressed, high-fidelity film and VFX data
  • Rich industry-specific metadata including timecode, keykode, and film stock information
  • Supports logarithmic color spaces (LogC, Cineon) to preserve the massive dynamic range of film negatives
Limitations
  • Massive file sizes (e.g., a single 4K 10-bit frame is ~50MB, resulting in ~1.2GB per second at 24fps)
  • Zero native support in web browsers or consumer OS image viewers
  • Requires heavy-duty, fast storage infrastructure (RAID/NVMe) to playback in real-time
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

DPX
Use DPX when…
  • Film Scanning
  • Visual Effects (VFX)
  • Digital Intermediate (DI)
  • Color Grading
  • 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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