Convert ORF to JXL

Drag and drop files here or click to select.
Max file size 100mb.
Uploading progress:

ORF vs JXL Format Comparison

Aspect ORF (Source Format) JXL (Target Format)
Format Overview
ORF
Olympus Raw Format

ORF is the proprietary RAW image format used by Olympus (now OM Digital Solutions) in their Micro Four Thirds cameras, including the OM-D, PEN, and OM System series. It stores 12-bit unprocessed sensor data from Olympus's Live MOS and BSI-CMOS sensors, preserving full dynamic range and color fidelity. ORF files use a modified TIFF container and support lossless compression, offering maximum post-processing flexibility for the Micro Four Thirds system.

Lossless RAW
JXL
JPEG XL

JPEG XL is a next-generation image format standardized as ISO/IEC 18181 in 2022, designed to be the definitive successor to JPEG. It achieves 60% better compression efficiency, supports both lossy and lossless coding, HDR with up to 32-bit float per channel, alpha transparency, animation, and progressive decoding. JXL is the first image format to combine all these capabilities while remaining royalty-free and open.

Lossless Modern
Technical Specifications
Color Depth: 12-bit per channel (RAW sensor data)
Compression: Lossless compressed (modified TIFF)
Transparency: Not supported
Animation: Not supported
Extensions: .orf
Color Depth: Up to 32-bit float per channel (HDR)
Compression: Lossy (VarDCT) and Lossless (Modular)
Transparency: Full alpha channel support
Animation: Native animation support
Extensions: .jxl
Image Features
  • Transparency: Not supported
  • Animation: Not supported
  • EXIF Metadata: Full camera, lens, GPS, stabilization data
  • White Balance: As-shot with full range adjustment
  • Dynamic Range: Full sensor range (~12 stops)
  • In-Body Stabilization: IBIS data recorded in metadata
  • Transparency: Full alpha channel with premultiplied alpha
  • Animation: Native frame sequences with variable delays
  • EXIF Metadata: Full Exif and XMP metadata support
  • HDR: PQ and HLG transfer functions, wide gamut
  • Progressive: Built-in progressive decoding by design
  • Color Management: ICC profile embedding, wide gamut
Processing & Tools

ORF processing with Olympus and third-party tools:

# Convert ORF with dcraw
dcraw -T -w -o 1 photo.orf

# Using rawpy in Python
import rawpy
raw = rawpy.imread('photo.orf')
rgb = raw.postprocess(
    use_camera_wb=True,
    output_bps=16)

JXL encoding with cjxl reference encoder:

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

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

# Maximum compression effort
cjxl input.png output.jxl -q 88 -e 9
Advantages
  • Full sensor data for maximum editing flexibility
  • Compact Micro Four Thirds files (15-25 MB)
  • Excellent in-body stabilization data for post-processing
  • Active format supported by OM Digital Solutions
  • Wide software support (Lightroom, Capture One, OM Workspace)
  • High-resolution mode captures (50-80 MP via sensor shift)
  • 60% smaller than JPEG at equivalent visual quality
  • Both lossy and lossless compression modes
  • HDR support with up to 32-bit float precision
  • Progressive decoding for instant web previews
  • Full alpha transparency and animation support
  • Royalty-free and open ISO standard (18181)
  • Efficient compression for Micro Four Thirds resolutions
Disadvantages
  • Proprietary format specific to Olympus/OM System
  • Smaller sensor limits dynamic range vs full-frame
  • Cannot be displayed in web browsers
  • File format variations between camera generations
  • High-res mode ORF files can be very large (80+ MB)
  • Browser support still growing (Safari, Firefox partial)
  • Chrome removed support in v110, re-added experimentally
  • Limited native OS support on some platforms
  • Encoding at highest effort levels can be slow
  • Social media platform support still limited
Common Uses
  • Micro Four Thirds photography (landscapes, wildlife, travel)
  • Street photography with compact OM-D/PEN bodies
  • Wildlife photography with Olympus telephoto reach
  • Macro photography with focus stacking
  • High-resolution mode architectural photography
  • Next-generation web image delivery
  • Lossless photographic archival
  • HDR content for modern displays
  • Portfolio and gallery distribution
  • Efficient image storage and sharing
Best For
  • Maximum quality from Olympus/OM System cameras
  • Post-processing in Lightroom, Capture One, OM Workspace
  • Focus stacking and high-res mode composites
  • Professional Micro Four Thirds workflows
  • Delivering processed Olympus photos with best compression
  • Archiving finished edits in lossless quality
  • Web portfolios with progressive loading
  • HDR output for nature and landscape photography
  • Future-proof storage of MFT photography collections
Version History
Introduced: 2003 (Olympus E-1)
Developer: Olympus / OM Digital Solutions
Status: Active (continued by OM Digital Solutions)
Evolution: E-series ORF → OM-D ORF → OM System ORF (high-res mode)
Introduced: 2022 (ISO/IEC 18181)
Developer: Joint Photographic Experts Group
Status: Active, adoption growing
Evolution: JPEG (1992) → JPEG 2000 (2000) → JPEG XR (2009) → JPEG XL (2022)
Software Support
RAW Processors: Lightroom, Capture One, OM Workspace, darktable
Image Editors: Photoshop (via ACR), GIMP, Affinity Photo
OS Preview: macOS (native), Windows (codec), Linux (dcraw)
Libraries: rawpy, LibRaw, dcraw
Web Browsers: Not supported
Image Editors: GIMP 2.99+, Krita, darktable
Web Browsers: Safari 17+, Firefox (behind flag), Chrome (experimental)
OS Preview: macOS 14+, Windows (via plugin), Linux (various)
Libraries: libjxl, Pillow (via plugin), ImageMagick 7.1+
CLI Tools: cjxl/djxl (reference), ImageMagick

Why Convert ORF to JXL?

Converting ORF to JXL provides Olympus and OM System photographers with the most efficient way to deliver and archive their processed images. ORF files from cameras like the OM-1, E-M1 Mark III, and PEN-F contain excellent Micro Four Thirds sensor data, but the RAW format is designed for editing, not delivery. JXL serves as the ideal output format, providing 60% better compression than JPEG for web delivery or 30-50% better compression than PNG/TIFF for lossless archival.

The Micro Four Thirds system's typical 20-25 megapixel resolution is particularly well-suited to JXL compression. At these resolutions, JXL's perceptual model can achieve exceptional quality-to-size ratios. A processed ORF from an OM-1 (20.4 MP) converts to a lossy JXL at quality 90 that averages just 350-500 KB — small enough for instant web loading while maintaining visual quality that stands up to full-screen viewing on high-resolution displays.

For Olympus's unique high-resolution mode, which combines multiple sensor-shifted exposures into 50-80 MP composites, JXL's lossless compression is especially valuable. These massive ORF files (80+ MB) produce equally massive TIFF exports. Lossless JXL encoding can reduce these files by 40-55% without any quality compromise, making high-res mode images practical to store and distribute for architectural and product photography workflows.

JXL's HDR capabilities align well with the increasingly wide dynamic range of modern Micro Four Thirds sensors. The OM-1's stacked BSI-CMOS sensor captures impressive tonal range for its size, and JXL can preserve this full range using HDR transfer functions rather than compressing it into 8-bit SDR. This means your sunset landscapes and interior architecture shots retain their full luminance detail on HDR monitors.

Key Benefits of Converting ORF to JXL:

  • Optimal Compression: Exceptional quality-to-size ratio for MFT resolutions
  • High-Res Mode: Dramatically reduces 50-80 MP composite file sizes
  • HDR Support: Preserve full sensor dynamic range for modern displays
  • Progressive Loading: Instant preview for online portfolios
  • Lossless Archival: 30-50% smaller than TIFF with identical quality
  • Open Standard: ISO-standardized for guaranteed long-term access
  • Transparency: Alpha channel enables compositing of OM System images

Practical Examples

Example 1: Wildlife Photography Portfolio

Scenario: A wildlife photographer uses an OM-1 with 300mm f/4 PRO lens (600mm equivalent) and needs to deliver processed bird photos for a magazine website.

Source: kingfisher_dive_0234.orf (22 MB, 5184x3888, 12-bit)
Conversion: ORF → JXL (lossy, quality 92)
Result: kingfisher_dive_0234.jxl (420 KB, 5184x3888)

Magazine web delivery:
1. Develop ORF in Lightroom with noise reduction
2. Export to JXL at quality 92 for web delivery
3. Serve with progressive decoding for instant preview
✓ 420 KB loads instantly on mobile devices
✓ Fine feather detail preserved at full zoom
✓ Progressive decoding shows complete image immediately
✓ 95% smaller than original ORF file

Example 2: High-Resolution Architecture Documentation

Scenario: An architect uses OM System OM-1 high-res mode (80 MP) to document building details, producing massive ORF files that need efficient lossless storage.

Source: facade_detail_hires.orf (85 MB, 10368x7776, 12-bit hi-res)
Conversion: ORF → JXL (lossless, 16-bit)
Result: facade_detail_hires.jxl (28 MB, 10368x7776, lossless)

Architecture archive:
1. Process high-res ORF with minimal adjustments
2. Encode as lossless JXL preserving all detail
3. Store in project documentation system
✓ 85 MB ORF → 28 MB JXL (67% reduction)
✓ Every pixel preserved for zoom-in inspection
✓ Practical file size for network storage and sharing
✓ 80 MP detail for large-format prints

Example 3: Travel Photography Blog with Focus-Stacked Macros

Scenario: A travel photographer uses a PEN-F for street and macro photography, with in-camera focus stacking, and wants to share results on their blog.

Source: street_market_spices.orf (18 MB, 4608x3456, 12-bit)
Conversion: ORF → JXL (lossy, quality 88)
Result: street_market_spices.jxl (210 KB, 4608x3456)

Travel blog workflow:
1. Develop ORF with vibrant color profile
2. Export to JXL at quality 88 for fast web loading
3. Embed in responsive blog layout
✓ 210 KB file loads instantly worldwide
✓ Vivid spice market colors reproduced accurately
✓ Sharp focus-stacked detail visible at full resolution
✓ Mobile-friendly file size

Frequently Asked Questions (FAQ)

Q: Which Olympus and OM System cameras produce ORF files?

A: ORF files are produced by virtually all Olympus and OM System interchangeable-lens cameras. This includes the OM-D series (OM-1, E-M1 Mark III/II, E-M5 Mark III/II, E-M10 Mark IV), PEN series (PEN-F, E-PL10, E-P7), and the original E-series DSLRs (E-1, E-3, E-5). OM Digital Solutions continues the format in their OM System branded cameras.

Q: Does converting ORF to JXL affect the Micro Four Thirds image quality?

A: No. The conversion processes the RAW sensor data with optimal demosaicing and color correction, then encodes the result to JXL. Lossless JXL preserves every pixel identically. Even lossy JXL at quality 90+ produces results that are visually indistinguishable from the lossless version. The Micro Four Thirds sensor resolution is well within JXL's optimal compression range.

Q: How does JXL handle Olympus high-resolution mode images?

A: JXL excels at compressing the large 50-80 MP composites from Olympus high-resolution mode. Because these images have exceptionally fine detail and smooth tonal transitions from the sensor-shift averaging, JXL's compression model achieves excellent ratios. Lossless JXL typically reduces high-res mode files by 55-67% compared to TIFF, while lossy encoding produces remarkably small files with imperceptible quality loss.

Q: Can I preserve the GPS data from my ORF files in JXL?

A: Yes. JXL supports full Exif metadata, including GPS coordinates. When converting ORF to JXL, all embedded metadata — camera settings, GPS location, lens data, and shooting parameters — can be preserved in the JXL file. This is particularly useful for travel and wildlife photography where location data is valuable for organizing and presenting images.

Q: Is ORF to JXL better than ORF to WebP?

A: JXL offers several advantages over WebP: better compression at high quality settings, lossless mode that matches or beats WebP lossless, HDR support, and progressive decoding. WebP currently has broader browser support, but JXL's quality advantage is significant. For archival purposes, JXL is clearly superior. For web delivery, the choice depends on whether your audience uses JXL-compatible browsers.

Q: What happens to the Olympus Art Filters if applied in-camera?

A: In-camera Art Filters are applied only to the JPEG output, not to the ORF RAW data. The ORF file always contains the unprocessed sensor data regardless of Art Filter settings. When converting ORF to JXL, you start from the raw data and apply your own processing. If you want Art Filter effects, apply them in OM Workspace before exporting to JXL.

Q: How long will ORF files remain supported by software?

A: ORF is still actively developed by OM Digital Solutions, so current software support is strong. However, converting to JXL provides insurance against future support changes. The combination of keeping original ORF files and JXL exports gives you both the raw editing capability and the guaranteed long-term accessibility of an ISO standard format.

Q: What quality setting should I use for JXL when converting ORF files?

A: For web delivery, quality 85-92 provides excellent results with small file sizes. For portfolio and print work, quality 92-95 is recommended. For archival, use quality 100 (lossless) to preserve every pixel. Micro Four Thirds images compress particularly well in JXL, so even lossless files are reasonably sized. Test a few sample images at different settings to find your preferred balance.