Convert QOI to JXL

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QOI vs JXL Format Comparison

Aspect QOI (Source Format) JXL (Target Format)
Format Overview
QOI
Quite OK Image Format

QOI is a fast, simple lossless image format created by Dominic Szablewski in 2021. It prioritizes encoding and decoding speed over compression ratio, using a straightforward algorithm that fits in about 300 lines of code. QOI achieves compression comparable to PNG but encodes 20-50x faster, making it ideal for real-time applications like game engines and video streaming tools.

Lossless Modern
JXL
JPEG XL

JPEG XL is the next-generation image codec standardized as ISO/IEC 18181 in 2022. It provides the most advanced lossy and lossless compression available, supporting HDR, wide color gamuts, animation, transparency, and progressive decoding. JXL achieves significantly better compression ratios than QOI, PNG, or WebP at the cost of higher encoding complexity.

Lossless Modern
Technical Specifications
Color Depth: 8-bit per channel (RGB/RGBA)
Compression: Lossless (run-length + hash index)
Transparency: Full 8-bit alpha channel
Animation: Not supported
Extensions: .qoi
Color Depth: Up to 32-bit float per channel (HDR)
Compression: VarDCT (lossy) / Modular (lossless)
Transparency: Full alpha channel with separate compression
Animation: Native animation support (frames)
Extensions: .jxl
Image Features
  • Speed: Encodes 20-50x faster than PNG
  • Simplicity: Entire codec in ~300 lines of C
  • Alpha: 8-bit alpha transparency support
  • Color Spaces: sRGB and linear RGB
  • Streaming: Sequential pixel encoding/decoding
  • Metadata: Minimal (14-byte header only)
  • HDR Support: Up to 32-bit floating point per channel
  • Wide Gamut: Rec. 2100, Display P3, BT.2020
  • Progressive Decode: Multi-resolution streaming preview
  • Animation: Native frame-based animation
  • ICC Profiles: Full ICC v4 color management
  • Metadata: Exif, XMP, JUMBF support
Processing & Tools

Working with QOI using qoiconv and Pillow:

# Convert QOI to PNG with qoiconv
qoiconv input.qoi output.png

# Read QOI with Pillow 12+
from PIL import Image
img = Image.open("input.qoi")
img.save("output.png")

Encoding to JPEG XL with cjxl:

# Lossless encode (best compression)
cjxl input.png output.jxl -q 100 -e 9

# Balanced quality/speed
cjxl input.png output.jxl -q 90 -e 5

# Fast encode for batch processing
cjxl input.png output.jxl -q 85 -e 3
Advantages
  • Extremely fast encoding and decoding speed
  • Minimal implementation complexity (300 lines)
  • Compression comparable to PNG
  • Zero external dependencies
  • Ideal for real-time game engines and tools
  • Open specification, public domain (MIT-0)
  • Lossless compression 35% better than PNG
  • Lossy mode 60% smaller than JPEG at equal quality
  • Native HDR and wide color gamut
  • Progressive decoding for web delivery
  • Animation support replaces GIF and APNG
  • ISO standard (18181) with broad industry backing
  • Lossless JPEG recompression capability
Disadvantages
  • Lower compression ratio than PNG, WebP, or JXL
  • Limited to 8-bit per channel (no HDR)
  • No animation support
  • Minimal metadata support
  • Very limited browser and software support
  • Slower encoding than QOI (10-100x)
  • Complex codec implementation
  • Limited browser support (Safari 17+, Firefox behind flag)
  • Higher memory usage during encoding
  • Not yet universally supported on platforms
Common Uses
  • Game engine texture pipelines
  • Real-time video frame capture
  • Intermediate format in processing pipelines
  • Screenshots in development tools
  • Embedded systems with limited CPU
  • Next-generation web image delivery
  • HDR photography distribution
  • Archival storage with best-in-class compression
  • Professional photography workflows
  • Replacing JPEG/PNG in modern pipelines
  • High-fidelity image sharing
Best For
  • Applications prioritizing encode/decode speed over compression
  • Game development with real-time texture loading
  • Pipelines where simplicity matters more than file size
  • Embedded and resource-constrained environments
  • Applications prioritizing compression over speed
  • Web delivery where bandwidth matters
  • Long-term archival with maximum space efficiency
  • HDR and wide gamut content distribution
  • Replacing legacy formats with a single modern codec
Version History
Introduced: 2021 (Dominic Szablewski)
Current Version: QOI 1.0 (final specification)
Status: Stable, niche adoption
Evolution: QOI 1.0 (2021) — single version, frozen spec
Introduced: 2022 (ISO/IEC 18181)
Current Version: JPEG XL 0.10+ (libjxl reference)
Status: ISO standard, growing adoption
Evolution: PIK + FUIF (2017) → JPEG XL draft (2019) → ISO 18181 (2022)
Software Support
Image Editors: GIMP (plugin), Pillow 12+, limited
Web Browsers: Not supported
OS Preview: Not supported natively
Mobile: Not supported
CLI Tools: qoiconv, Pillow, ImageMagick (delegate)
Image Editors: GIMP 2.99+, Krita, darktable, RawTherapee
Web Browsers: Safari 17+, Firefox (behind flag)
OS Preview: macOS 14+, Windows 11 (with extension)
Mobile: iOS 17+, Android (partial)
CLI Tools: libjxl (cjxl/djxl), ImageMagick 7.1+, libvips

Why Convert QOI to JXL?

Converting QOI to JXL upgrades your images from a simple, speed-focused lossless format to the most technically advanced image codec available. QOI was designed for blazing-fast encoding with minimal code complexity, but its compression ratio is only comparable to PNG. JPEG XL achieves 35% better lossless compression than PNG, meaning your QOI files can be stored significantly more compactly without any quality loss.

The feature gap between QOI and JXL is substantial. QOI is limited to 8-bit per channel with no animation, no progressive decoding, and minimal metadata. JXL supports up to 32-bit float channels, HDR content, wide color gamuts, animation, progressive streaming, and rich metadata. If your QOI files are destined for web delivery, archival, or professional workflows, JXL provides capabilities that QOI fundamentally cannot offer.

For game developers and tool builders who use QOI as an intermediate format, converting to JXL for final output makes sense when file size matters more than encode speed. QOI excels during real-time capture and processing where microseconds count, but for distribution and storage, JXL's superior compression translates to significant bandwidth and disk savings — especially at scale with thousands of images.

Browser support for QOI is essentially non-existent, while JXL has native support in Safari 17+ and is available in Firefox behind a flag. Converting QOI to JXL makes your images accessible to a broader audience through web browsers and native OS image viewers, without the need for specialized software or plugins.

Key Benefits of Converting QOI to JXL:

  • 35% Better Compression: JXL lossless significantly outperforms QOI's PNG-comparable compression
  • HDR Support: Upgrade from 8-bit to up to 32-bit float per channel
  • Progressive Decoding: Multi-resolution preview for fast web display
  • Browser Compatibility: Safari 17+ native support vs no QOI browser support
  • Animation Support: JXL can store animated sequences that QOI cannot
  • Rich Metadata: Exif, XMP, ICC profiles vs QOI's minimal 14-byte header
  • ISO Standard: Backed by international standardization for long-term viability

Practical Examples

Example 1: Game Asset Distribution Pipeline

Scenario: A game studio uses QOI for rapid texture capture during development but needs a more efficient format for distributing final asset packs to players.

Source: terrain_diffuse.qoi (4.2 MB, 2048x2048px, RGBA)
Conversion: QOI → JXL (lossless)
Result: terrain_diffuse.jxl (2.7 MB, 2048x2048px, RGBA)

Asset pack optimization:
- 500 textures as QOI: 2.1 GB
- 500 textures as JXL: 1.35 GB (35% reduction)
✓ Faster downloads for players
✓ Lossless — identical pixels after decode
✓ Alpha channel preserved perfectly
✓ Decode to raw pixels at load time in engine

Example 2: Screenshot Archive Optimization

Scenario: A software tester captures thousands of QOI screenshots daily for regression testing and needs to archive them more efficiently.

Source: test_result_14523.qoi (6.8 MB, 3840x2160px, RGB)
Conversion: QOI → JXL (lossless)
Result: test_result_14523.jxl (4.1 MB, 3840x2160px, RGB)

Archive savings:
- Daily capture: 2,000 screenshots × 6.8 MB = 13.6 GB as QOI
- After conversion: 2,000 × 4.1 MB = 8.2 GB as JXL
- Monthly savings: ~162 GB storage
✓ Lossless — pixel-perfect for regression comparison
✓ Progressive decode for quick visual review
✓ Exif metadata can tag test ID and timestamp

Example 3: Converting Creative Tool Exports for Web

Scenario: A pixel art application exports in QOI format, and the artist wants to publish work on a portfolio website with browser support.

Source: pixel_landscape.qoi (85 KB, 640x480px, RGBA)
Conversion: QOI → JXL (lossless)
Result: pixel_landscape.jxl (52 KB, 640x480px, RGBA)

Web publishing benefits:
✓ 39% smaller file size for faster page loads
✓ Viewable in Safari 17+ natively
✓ Transparency preserved for overlay effects
✓ Can use picture element with PNG fallback
✓ ICC profile embedded for consistent colors across displays

Frequently Asked Questions (FAQ)

Q: Is the conversion from QOI to JXL lossless?

A: Yes, when using lossless mode (quality 100), the conversion is pixel-perfect. Both QOI and JXL lossless preserve every pixel exactly, so the JXL output will be bit-identical to the QOI source after decoding. JXL simply stores the same data more efficiently.

Q: How much smaller will JXL files be compared to QOI?

A: In lossless mode, JXL files are typically 30-40% smaller than QOI files, depending on image content. Photographic content sees the largest improvements. Pixel art and simple graphics may see 20-30% reduction. In lossy mode, JXL can be dramatically smaller — 5-10x at high quality settings with virtually no visible difference.

Q: Will QOI's fast decode speed be preserved?

A: No — JXL decoding is slower than QOI due to the more complex compression algorithm. QOI can decode at several GB/s, while JXL typically decodes at hundreds of MB/s. For real-time applications where decode speed is critical (game engines, live rendering), QOI may remain the better choice. For web delivery and archival, JXL's slower decode is not a practical concern.

Q: Does JXL preserve QOI's alpha channel?

A: Yes. JXL fully supports alpha transparency and compresses the alpha channel with a separate, optimized algorithm. If your QOI files include RGBA data, the alpha channel will be preserved exactly in lossless mode. JXL can even compress the alpha channel more efficiently than QOI in most cases.

Q: Can I batch convert large QOI collections to JXL?

A: Yes. While JXL encoding is slower per file than QOI, batch conversion tools can process thousands of files. The libjxl reference encoder (cjxl) supports parallel encoding, and the storage savings from 35% better compression often justify the one-time conversion cost for large archives.

Q: Should I keep QOI files after converting to JXL?

A: If you used lossless conversion, the JXL files contain identical pixel data and the QOI originals can be safely deleted to save space. However, if your workflow depends on QOI's fast decode speed (game engines, real-time tools), keep the QOI versions for those use cases and use JXL for archival and distribution.

Q: Why not convert QOI directly to WebP or AVIF instead?

A: JXL offers better lossless compression than WebP (which is limited to 4:2:0 in lossy mode) and more features than AVIF (no progressive decode, limited tool support). JXL is the technically superior choice for quality-critical conversions. However, if you need maximum browser compatibility today, WebP has wider support.

Q: What happens to QOI's sRGB/linear color space flag?

A: JXL supports both sRGB and linear color spaces natively, along with ICC profiles for any other color space. The QOI color space information (sRGB or linear) is preserved during conversion. JXL's color management is significantly more capable than QOI's simple flag, supporting Display P3, Rec. 2020, and custom ICC profiles.