Convert EXR to QOI
Max file size 100mb.
EXR vs QOI Format Comparison
| Aspect | EXR (Source Format) | QOI (Target Format) |
|---|---|---|
| Format Overview |
EXR
OpenEXR (Extended Range)
An open high-dynamic-range image format developed by Industrial Light & Magic (ILM) in 2003. EXR stores images with 16-bit half-float or 32-bit float per channel, supporting an arbitrary number of channels, multi-layer composites, and deep data. It is the industry standard for VFX, film compositing, 3D rendering, and game development pipelines. Lossless Modern |
QOI
Quite OK Image Format
A modern lossless image format created by Dominic Szablewski in 2021, designed for simplicity and speed. QOI achieves compression ratios comparable to PNG but encodes and decodes 3-4x faster due to its elegantly simple algorithm. The entire specification fits in a single page, making it trivially implementable. QOI is gaining adoption as a fast lossless alternative in game engines, real-time applications, and embedded systems. Lossless Modern |
| Technical Specifications |
Color Depth: 16-bit half-float / 32-bit float per channel
Compression: Lossless (ZIP, PIZ) or lossy (B44, DWAA) Transparency: Full alpha channel (float precision) Animation: Not supported Extensions: .exr |
Color Depth: 8-bit per channel (24-bit RGB or 32-bit RGBA)
Compression: Lossless (custom run-length + index + diff encoding) Transparency: Full 8-bit alpha channel (RGBA mode) Animation: Not supported Extensions: .qoi |
| Image Features |
|
|
| Processing & Tools |
EXR reading and processing: # View EXR info oiiotool input.exr --info -v # Tone-map EXR oiiotool input.exr --tonemap 1.0 \ -o output.png |
QOI creation tools: # Convert to QOI with qoiconv
qoiconv input.png output.qoi
# Convert with Python Pillow 12+
from PIL import Image
img = Image.open("input.png")
img.save("output.qoi")
|
| Advantages |
|
|
| Disadvantages |
|
|
| Common Uses |
|
|
| Best For |
|
|
| Version History |
Introduced: 2003 (ILM, open-sourced)
Current Version: OpenEXR 3.x (2021+) Status: Active development Evolution: EXR 1.0 (2003) → 2.0 (2013) → 3.0 (2021) |
Introduced: 2021 (Dominic Szablewski)
Current Version: QOI 1.0 (2022, finalized specification) Status: Stable, growing adoption Evolution: Initial release (2021) → QOI 1.0 spec finalized (2022) |
| Software Support |
Image Editors: Photoshop, Nuke, Fusion, GIMP, Affinity Photo
3D Software: Blender, Maya, Houdini, Cinema 4D OS Preview: macOS (Preview), Windows (plugin), Linux Renderers: Arnold, V-Ray, RenderMan, Cycles CLI Tools: OpenImageIO, FFmpeg, ImageMagick, Pillow |
Image Editors: GIMP (plugin), XnView, Pillow 12+
Game Engines: Custom integrations, Godot (community) OS Preview: Not natively supported Libraries: qoi.h (C), qoi-rust, qoi-java, pillow-qoi CLI Tools: qoiconv, Pillow, ImageMagick (limited) |
Why Convert EXR to QOI?
Converting EXR to QOI provides a fast lossless alternative to PNG for real-time workflows. QOI encodes and decodes 3-4x faster than PNG while achieving comparable file sizes. For game development pipelines, real-time preview systems, and applications where encode/decode speed matters more than maximum compression, QOI offers a compelling modern alternative.
QOI's simplicity makes it ideal for custom tools and embedded systems. The entire codec can be implemented in ~300 lines of C code with no external dependencies. When building custom image processing tools that work with EXR render output, QOI provides an extremely simple lossless interchange format that is much faster than PNG.
For game engine texture caching, QOI's fast encode speed means textures can be cached to disk and reloaded quickly. Converting EXR renders to QOI creates fast-loading cached textures that maintain lossless quality. The format's alpha channel support preserves transparency from EXR for compositing in the engine.
Note that QOI is limited to 8-bit per channel and has limited software support compared to PNG. It does not store metadata, ICC profiles, or any information beyond raw pixel data. For archival, web delivery, or workflows requiring maximum compatibility, PNG remains the safer choice. QOI excels when speed is the priority.
Key Benefits of Converting EXR to QOI:
- Blazing Fast: 3-4x faster than PNG encode/decode
- Lossless Quality: Pixel-perfect output with no artifacts
- Alpha Support: Full 8-bit transparency from EXR
- Simple Format: Entire spec fits on one page
- No Dependencies: Self-contained ~300 line codec
- Open Source: MIT license, royalty-free
- Modern Design: Built for contemporary workflows
Practical Examples
Example 1: Game Engine Texture Cache from Renders
Scenario: A game developer converts EXR render output to QOI for fast-loading cached textures in a custom game engine.
Source: terrain_diffuse.exr (24 MB, 2048×2048, 16-bit half-float) Conversion: EXR → QOI (8-bit RGBA, lossless) Result: terrain_diffuse.qoi (5.8 MB, 2048×2048) Game engine workflow: ✓ 3x faster load than PNG equivalent ✓ Lossless quality for texture fidelity ✓ Alpha channel preserved for terrain blending ✓ Simple decoder — no library dependency ✓ Fast cache rebuild on asset changes
Example 2: Real-Time Render Preview System
Scenario: A VFX studio builds a real-time render preview system that captures EXR frames from the renderer and displays them via QOI for minimal latency.
Source: preview_frame.exr (12 MB, 1920×1080, 16-bit half-float) Conversion: EXR → QOI (8-bit, real-time) Result: preview_frame.qoi (2.1 MB, 1920×1080) Preview system: ✓ Encode in ~5ms vs ~20ms for PNG ✓ Decode for display in ~3ms ✓ Lossless quality for accurate preview ✓ Low latency for interactive rendering ✓ Minimal CPU overhead for encode/decode
Example 3: Embedded Display System
Scenario: A developer converts rendered UI frames from EXR to QOI for fast loading on an embedded display system with limited CPU.
Source: dashboard_ui.exr (4 MB, 1280×720, 16-bit half-float) Conversion: EXR → QOI (8-bit) Result: dashboard_ui.qoi (850 KB, 1280×720) Embedded workflow: ✓ ~300 line decoder fits in embedded firmware ✓ No external library dependencies ✓ Fast decode on low-power ARM processor ✓ Lossless quality for sharp UI text ✓ Smaller than BMP, faster than PNG
Frequently Asked Questions (FAQ)
Q: How does QOI compare to PNG in compression?
A: QOI typically produces files 10-30% larger than optimized PNG for photographic content, but encodes/decodes 3-4x faster. For images with large solid areas, QOI can match or beat PNG compression. The trade-off is speed vs. size — QOI prioritizes speed.
Q: Can web browsers display QOI images?
A: No. No major browser supports QOI natively as of 2026. QOI is designed for application-level use (game engines, tools, embedded systems), not web delivery. For web, convert to PNG, WebP, or AVIF instead.
Q: Does QOI support transparency from EXR?
A: Yes. QOI supports full 8-bit RGBA with 256 levels of alpha transparency. EXR's float-precision alpha is converted to 8-bit, preserving smooth transparency for compositing. QOI stores alpha as efficiently as RGB data.
Q: Is QOI better than PNG for all use cases?
A: No. PNG has universal software support, metadata capabilities, ICC profiles, and 16-bit depth. QOI wins on speed but lacks ecosystem maturity. Use QOI when encode/decode speed is critical; use PNG when compatibility and features matter more.
Q: What happens to EXR's HDR and multi-layer data?
A: QOI is limited to 8-bit per channel. HDR data is tone-mapped to 0-255. Multi-layer EXR data is flattened. QOI stores only a single RGBA image — no layers, no metadata, no color profiles.
Q: How large is a QOI decoder implementation?
A: The reference QOI decoder in C is approximately 300 lines of code with zero external dependencies. This makes it trivial to integrate into any application, embedded system, or custom tool. The simplicity is QOI's core design principle.
Q: Can I use QOI in Unity or Unreal Engine?
A: Not natively, but community plugins exist. QOI is easy to integrate into any engine due to the single-header C implementation. For production game assets, engines typically use their own optimized formats (DDS, ASTC), but QOI works well for runtime caching and screenshots.
Q: Is QOI suitable for archival storage?
A: Not recommended. QOI lacks metadata, ICC profiles, and broad software support. For archival, use PNG (8/16-bit), TIFF (up to 32-bit), or the original EXR. QOI is best suited for temporary and runtime storage where speed matters most.