Convert AVIF to JXL

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AVIF vs JXL Format Comparison

AspectAVIF (Source Format)JXL (Target Format)
Format Overview
AVIF
AV1 Image File Format

AVIF is a modern image format derived from the AV1 video codec, developed by the Alliance for Open Media. It offers excellent lossy compression that rivals or exceeds HEIC and WebP, with support for HDR, wide color gamut, and alpha transparency. AVIF gained rapid browser adoption and is widely used for web image optimization.

Lossy Modern
JXL
JPEG XL

JPEG XL is the next-generation image format standardized as ISO/IEC 18181 in 2022. Created by the JPEG Committee, it offers both lossy and lossless compression that surpasses all existing formats, with native HDR, wide gamut, progressive decoding, and the unique ability to losslessly transcode existing JPEG files. JXL excels in both web delivery and professional archival.

Lossless Modern
Technical Specifications
Color Depth: Up to 12-bit per channel
Compression: AV1-based lossy/lossless
Transparency: Full alpha channel
Animation: AVIF sequence (AVIS)
Extensions: .avif
Color Depth: Up to 32-bit per channel (float)
Compression: VarDCT (lossy) + Modular (lossless)
Transparency: Full alpha channel
Animation: Native animation support
Extensions: .jxl
Image Features
  • HDR: PQ and HLG transfer functions
  • Wide Gamut: BT.2020 and BT.2100
  • Tiling: Independent tile decoding
  • Film Grain: AV1 film grain synthesis
  • Chroma Subsampling: 4:2:0, 4:2:2, 4:4:4
  • ISOBMFF: ISO Base Media File Format container
  • HDR: PQ, HLG, and custom transfer functions
  • Wide Gamut: Any ICC profile, BT.2100, Display P3
  • Progressive: Multi-resolution progressive decode
  • Layers: Multiple layers with blend modes
  • JPEG Transcode: Lossless JPEG recompression
  • Depth Maps: Embedded depth channel support
Processing & Tools

Reading AVIF with Pillow:

# Read AVIF image
import pillow_heif
pillow_heif.register_heif_opener()
from PIL import Image
img = Image.open("photo.avif")
img = img.convert("RGB")

Encoding to JPEG XL:

# Lossless JXL encoding
cjxl input.png output.jxl -q 100

# High-quality lossy
cjxl input.png output.jxl -q 90 -e 7

# Python with Pillow
img.save("output.jxl", quality=95)
Advantages
  • Excellent lossy compression from AV1 codec
  • Wide browser support (Chrome, Firefox, Safari)
  • HDR and wide color gamut support
  • Good transparency support with alpha
  • Backed by Alliance for Open Media (Google, Meta, etc.)
  • Royalty-free and open standard
  • Superior lossless compression (35-50% smaller than PNG)
  • Better lossy quality at same file size vs AVIF
  • Higher bit depth (32-bit float vs 12-bit)
  • Progressive decoding for responsive display
  • Lossless JPEG recompression capability
  • Faster encoding/decoding than AVIF
  • ISO/IEC 18181 international standard
Disadvantages
  • Slow encoding speed (AV1 codec complexity)
  • Limited to 12-bit color depth maximum
  • No progressive decoding
  • Lossless mode less efficient than JXL
  • Cannot losslessly transcode existing JPEGs
  • Limited browser support (Safari 17+, Firefox flag)
  • Chrome removed support in v110
  • Smaller ecosystem than AVIF currently
  • Fewer hardware decoders available
  • Adoption slower than AVIF in web context
Common Uses
  • Web image optimization (CDN delivery)
  • Social media image compression
  • E-commerce product images
  • Mobile app image assets
  • HDR photo sharing
  • Professional image archiving
  • HDR photography storage
  • Lossless image distribution
  • Print-quality image delivery
  • JPEG library modernization
Best For
  • Web images needing broad browser support today
  • Lossy compression where AVIF encoding time is acceptable
  • HDR images for Chrome and mobile browsers
  • Social media and messaging optimization
  • Lossless archiving with maximum compression
  • Professional workflows needing high bit depth
  • Progressive delivery of large images
  • Future-proof storage in ISO standard
  • Migrating legacy JPEG libraries losslessly
Version History
Introduced: 2019 (AOM/Netflix)
Current Version: AVIF 1.1.0 (libavif)
Status: Active, widely adopted
Evolution: AV1 video (2018) → AVIF still image (2019) → AVIS sequence (2020)
Introduced: 2022 (ISO/IEC 18181)
Current Version: JPEG XL 0.10 (libjxl)
Status: Active, growing adoption
Evolution: PIK + FUIF (2018) → JPEG XL draft (2020) → ISO standard (2022)
Software Support
Image Editors: GIMP, Photoshop (via plugin), Affinity Photo 2
Web Browsers: Chrome 85+, Firefox 93+, Safari 16.4+
OS Preview: macOS 13+, Windows 11, Linux
Mobile: iOS 16+, Android 12+
CLI Tools: libavif, ImageMagick, Pillow (via pillow-heif)
Image Editors: GIMP 2.99+, darktable, Krita, ImageMagick 7.1+
Web Browsers: Firefox 113+ (behind flag), Safari 17+
OS Preview: macOS 14+, Windows (via plugin), Linux
Mobile: iOS 17+, Android (limited)
CLI Tools: libjxl (cjxl/djxl), ImageMagick, Pillow 10+

Why Convert AVIF to JXL?

Converting AVIF to JXL migrates your images from the AV1-based format to the JPEG Committee's next-generation standard. While both formats are modern and feature-rich, JXL offers distinct advantages in lossless compression efficiency, bit depth support, and progressive decoding that make it superior for archival, professional, and high-quality delivery scenarios where AVIF's broader browser support is not the primary concern.

JXL's lossless mode is significantly more efficient than AVIF's lossless mode for photographic content. If you have AVIF images that were originally encoded losslessly, converting to JXL lossless can reduce file sizes by 15-25% while maintaining identical pixel-for-pixel quality. This makes JXL the better choice for long-term storage of image libraries where every byte of storage counts.

For professional photographers and designers, JXL's support for up to 32-bit floating point per channel far exceeds AVIF's 12-bit maximum. This higher precision is essential for HDR workflows, wide gamut color spaces, and images that require extreme tonal accuracy. Converting AVIF images to JXL ensures they are stored in a format capable of representing the full quality of modern displays and print outputs.

JXL's progressive decoding is another compelling reason to convert. Unlike AVIF, which must be fully downloaded before display, JXL can show a lower-resolution preview that progressively sharpens as data arrives. For large, high-quality images this provides a dramatically better user experience, especially on slower connections or when browsing large image galleries.

Key Benefits of Converting AVIF to JXL:

  • Better Lossless: 15-25% smaller lossless files than AVIF
  • Higher Precision: 32-bit float vs AVIF's 12-bit maximum
  • Progressive Decode: Responsive loading AVIF cannot provide
  • ISO Standard: ISO/IEC 18181 for guaranteed long-term support
  • Faster Codec: JXL encodes and decodes faster than AVIF
  • JPEG Bridge: Can losslessly recompress any JPEG derivatives
  • Layer Support: Multiple layers and blend modes for composites

Practical Examples

Example 1: Migrating a Web Image Library to JXL

Scenario: A photography website migrates its AVIF image library to JXL for better lossless archival and progressive loading on supported browsers.

Source: gallery_photo_0847.avif (320 KB, 3000x2000px, lossy)
Conversion: AVIF → JXL (lossless preservation)
Result: gallery_photo_0847.jxl (295 KB, lossless of decoded AVIF)

Benefits:
✓ Progressive loading for large gallery images
✓ Serve JXL to Safari 17+ and Firefox users
✓ Fall back to AVIF for Chrome users
✓ Better quality preservation in lossless mode
✓ Dual-format CDN strategy for maximum reach

Example 2: HDR Photography Archive Upgrade

Scenario: A photographer upgrades HDR images from AVIF (12-bit) to JXL (32-bit float) for maximum tonal preservation in archival storage.

Source: hdr_sunset.avif (890 KB, 4000x2667px, HDR10)
Conversion: AVIF → JXL (lossless, 32-bit float)
Result: hdr_sunset.jxl (1.2 MB, full precision HDR)

✓ Extended from 12-bit to 32-bit precision
✓ No banding in subtle gradient transitions
✓ Full HDR metadata preserved
✓ Wide gamut color space retained
✓ Future-proof for next-gen HDR displays

Example 3: Print Production Format Standardization

Scenario: A print shop standardizes on JXL for incoming files, converting client AVIF submissions to JXL for consistent workflow processing.

Source: poster_design.avif (2.1 MB, 6000x4000px, lossy quality 95)
Conversion: AVIF → JXL (lossless of decoded content)
Result: poster_design.jxl (1.8 MB, lossless)

✓ Standardized format for print RIP processing
✓ ICC profile preserved for color management
✓ No further quality loss from format conversion
✓ Compatible with ImageMagick print pipeline
✓ ISO standard format for vendor interoperability

Frequently Asked Questions (FAQ)

Q: Is JXL better than AVIF?

A: JXL and AVIF each have strengths. JXL offers better lossless compression, higher bit depth (32-bit vs 12-bit), progressive decoding, and ISO standardization. AVIF has broader browser support (Chrome, Firefox, Safari all support it natively). For archival and professional use, JXL is generally superior. For web delivery requiring broad browser compatibility today, AVIF has the advantage.

Q: Does converting AVIF to JXL improve quality?

A: Converting does not restore quality lost during lossy AVIF encoding. If the source AVIF was lossy, the JXL output preserves that quality level without further degradation. Converting in JXL lossless mode ensures no additional quality loss occurs. The benefit is in the format's capabilities (progressive decode, higher precision) rather than quality improvement.

Q: Will the file size increase when converting AVIF to JXL?

A: If you convert a lossy AVIF to lossless JXL, the file will be larger because lossless encoding preserves every pixel. If you convert to lossy JXL at a similar quality level, the file size will be comparable or slightly smaller than AVIF. JXL's lossy mode is competitive with AVIF and often produces slightly smaller files at equivalent quality.

Q: Which browsers support JPEG XL?

A: Safari 17+ has native JXL support, and Firefox supports it behind a flag (image.jxl.enabled in about:config). Chrome removed its experimental JXL support in version 110. For websites, a multi-format strategy (JXL for Safari, AVIF for Chrome, WebP/JPEG fallback) provides the best coverage using the HTML picture element.

Q: Can I convert animated AVIF to animated JXL?

A: Both formats support animation, but our converter processes AVIF as still images. For animated AVIF sequences, you would need to extract individual frames, convert each to JXL, and reassemble them. For simple still image conversion, the process is straightforward and preserves all visual content.

Q: How fast is AVIF to JXL conversion?

A: AVIF to JXL conversion is relatively fast because AVIF decoding is well-optimized and JXL encoding at standard effort levels is faster than AVIF encoding. A typical 4000x3000 pixel image converts in 2-5 seconds. Higher effort levels produce slightly smaller files but take longer to encode.

Q: Should I keep both AVIF and JXL versions?

A: For web delivery, maintaining both formats is recommended. Serve JXL to browsers that support it (Safari, Firefox) and AVIF to Chrome/others using the HTML picture element or Accept header negotiation. For archival, JXL alone is sufficient as it offers better lossless compression and higher precision than AVIF.

Q: Is JPEG XL an open standard?

A: Yes. JPEG XL is an open, royalty-free standard published as ISO/IEC 18181. The reference implementation (libjxl) is open source under the BSD 3-Clause license. Unlike some codecs with patent concerns, JXL was designed from the ground up to be freely implementable by anyone.