Free webp to jpg
EN
Image MIME Reference
CLIP

Clip Studio Paint Document

image/vnd.clip
VS

JPEG AI Image Sequence

image/jais
JPEG-AI-Sequence

A complete technical comparison of Clip Studio Paint Document 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 CLIP JPEG-AI-Sequence
Transparency (Alpha) Yes Yes
Animation Support Yes Yes
Progressive Loading ✕ No Yes
HDR Support ✕ No Yes
EXIF Metadata ✕ No Yes
ICC Color Profile Yes Yes
Clip Studio Paint Document
image/vnd.clip
Extension
.clip.lip
Container SQLite 3 Database
Compression Proprietary Blob Compression (within SQLite)
Algorithm
Proprietary (Celsys Blob Encoding)
Color Depth 8-bit (Monochrome), 8-bit (Grayscale), 24-bit (RGB), 32-bit (CMYK)
Developed by Celsys, Inc.
Released 2012
Magic Bytes
53 51 4C 69 74 65 20 66 6F 72 6D 61 74 20 33 00
Full CLIP 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 CLIP JPEG-AI-Sequence
Chrome Chrome
✕ ✕
Firefox Firefox
✕ ✕
Safari Safari
✕ ✕
Edge Edge
✕ ✕
IE IE (Legacy)
✕ ✕
CLIP

CLIP Strengths

  • SQLite backend provides incredibly robust data integrity, preventing catastrophic project loss if the application crashes during a save
  • Allows for massive multi-page comic projects and animation timelines to be handled efficiently without loading the entire project into RAM simultaneously
  • Industry standard for manga, anime, and webtoon professional workflows
Limitations
  • Heavily closed-source and proprietary, meaning no third-party applications (like ImageMagick or GIMP) can parse or render the files
  • Standard MIME identification tools will misidentify the file as a generic SQLite database, causing friction in automated file-upload validations
  • Zero web browser support
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

CLIP
Use CLIP when…
  • Digital Illustration and Concept Art
  • Manga and Webtoon Production
  • 2D Frame-by-Frame Animation
  • High-Resolution Print Production
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

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