Convert DJVU to QOI
Max file size 100mb.
If your DJVU file has multiple pages, each page will be converted to a separate image file. For documents with up to 10 pages, individual files will be created (e.g., document_page_001.jpg, document_page_002.jpg). For documents with more than 10 pages, all converted images will be packed into a single ZIP archive for easy download.
DJVU vs QOI Format Comparison
| Aspect | DJVU (Source Format) | QOI (Target Format) |
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| Format Overview |
DJVU
DjVu Document Format
A file format designed specifically for storing scanned documents, created by AT&T Labs in 1996. DJVU uses advanced compression with separate layers for foreground text, background images, and masks, achieving file sizes 3-10x smaller than TIFF or PDF for scanned pages. It excels at compressing documents that contain both text and photographic elements. Lossy Standard |
QOI
Quite OK Image Format
A modern lossless image format designed for simplicity and speed. Created by Dominic Szablewski in 2021, QOI achieves compression ratios comparable to PNG while encoding 20-50x faster and decoding 3-4x faster. The entire specification fits on a single page, making it ideal for real-time applications. Lossless Modern |
| Technical Specifications |
Color Depth: 24-bit color or 1-bit (bitonal layer)
Compression: Lossy (IW44 wavelet) + lossless (JB2/BZZ) Transparency: Mask layer (foreground/background separation) Animation: Multi-page documents supported Extensions: .djvu, .djv |
Color Depth: 24-bit RGB or 32-bit RGBA
Compression: Lossless (run-length + index + delta) Transparency: Full 8-bit alpha channel Animation: Not supported Extensions: .qoi |
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| Processing & Tools |
DjVu page extraction and conversion tools: # Extract pages from DJVU ddjvu -format=tiff input.djvu output.tiff # Convert DJVU to QOI via rasterization ddjvu -format=ppm input.djvu - | magick - output.qoi |
QOI creation and conversion: # Convert with qoiconv
qoiconv input.png output.qoi
# Convert with Pillow 12+
from PIL import Image
img = Image.open("input.djvu")
img.save("output.qoi")
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| Version History |
Introduced: 1996 (AT&T Labs Research)
Current Version: DjVu 3 (2001, multi-page) Status: Active in digital libraries, niche adoption Evolution: DjVu 1 (1996) → DjVu 2 (1999) → DjVu 3 (2001, multi-page + annotations) |
Introduced: 2021 (Dominic Szablewski)
Current Version: QOI 1.0 (final specification) Status: Stable specification, growing adoption Evolution: QOI 1.0 (2021) — single stable release |
| Software Support |
Viewers: DjView, Evince, Okular, SumatraPDF
Web Browsers: Not natively supported (plugin required) OS Preview: Linux (Evince/Okular), macOS (third-party) Mobile: EBookDroid (Android), DjVu Reader (iOS) CLI Tools: DjVuLibre (ddjvu, djvused), Pillow (limited) |
Image Editors: GIMP (plugin), XnView
Web Browsers: Not supported OS Preview: Limited (third-party viewers) Mobile: Not natively supported CLI Tools: qoiconv, Pillow 12+, qoi-rust |
Why Convert DJVU to QOI?
Converting DJVU to QOI transforms scanned document pages into the ultra-fast Quite OK Image format. QOI's encoding speed is 20-50x faster than PNG while achieving comparable compression, making it ideal for real-time document processing applications where encoding speed is more critical than maximum compression.
For document processing pipelines that need to handle high volumes of scanned pages, QOI's speed advantage is significant. Converting thousands of DJVU pages to QOI is dramatically faster than converting to PNG, with file sizes only moderately larger. This makes QOI excellent for intermediate storage in high-throughput scanning workflows.
QOI's simplicity — the entire specification fits on a single page — makes it easy to implement in any programming language without external library dependencies. This is valuable for embedded systems, custom document processing tools, and environments where adding image codec libraries is impractical.
QOI has no browser support and limited application support compared to PNG or JPEG. It lacks metadata support and progressive loading. Use QOI when encoding speed is the priority in a controlled environment. For distribution, web display, or long-term archival, convert to PNG, JPEG, or TIFF instead.
Key Benefits of Converting DJVU to QOI:
- Ultra-Fast Encoding: 20-50x faster than PNG encoding
- Lossless Quality: Perfect pixel reproduction of scanned pages
- Simple Specification: One-page spec, easy to implement anywhere
- Fast Decoding: 3-4x faster than PNG decoding
- Full Alpha: RGBA support for transparency if needed
- Throughput: Ideal for high-volume document processing
- No Dependencies: Trivial to implement without external libraries
Practical Examples
Example 1: High-Speed Document Scanning Buffer
Scenario: A high-throughput scanning station uses QOI as the intermediate buffer format for converting DJVU archives during migration.
Source: legal_archive.djvu (45 MB, 120 pages, 300 DPI) Conversion: DJVU → QOI (per page, 300 DPI) Result: 120 QOI files (avg 2.1 MB each, encoded in 12ms/page) Migration pipeline: 1. Extract DJVU pages to QOI at 500+ pages/minute 2. Queue QOI files for quality review 3. Convert approved pages to final TIFF/PDF ✓ 20x faster encoding than PNG intermediate ✓ Lossless quality preserved throughout ✓ Minimal CPU load for encoding step ✓ Buffer storage before final format conversion
Example 2: Real-Time Document Preview Cache
Scenario: A document viewer application caches DJVU page renders as QOI for instant re-display without re-rendering.
Source: reference_manual.djvu (8.2 MB, 30 pages, 200 DPI) Conversion: DJVU → QOI (on-demand, per viewed page) Result: Cached QOI files (avg 1.4 MB, encoded in 8ms) Viewer caching: ✓ Near-instant encoding for seamless caching ✓ Fast decoding for instant page re-display ✓ Lossless cache prevents quality drift ✓ Smaller cache than raw pixel buffers ✓ Simple implementation (300 lines of code)
Example 3: Embedded Document Display System
Scenario: An embedded kiosk system converts DJVU documents to QOI for display using a minimal image decoder.
Source: visitor_guide.djvu (2.5 MB, 6 pages, 150 DPI) Conversion: DJVU → QOI (per page, 150 DPI) Result: 6 QOI files (avg 450 KB each) Embedded system: ✓ Trivial decoder fits in firmware (< 1KB code) ✓ No external image library dependencies ✓ Fast decoding on limited embedded CPU ✓ Lossless display quality ✓ Simple format validation for security
Frequently Asked Questions (FAQ)
Q: What makes QOI faster than PNG?
A: QOI uses a much simpler compression algorithm with fixed-size data structures and no entropy coding. This simplicity enables 20-50x faster encoding and 3-4x faster decoding than PNG, while achieving comparable compression ratios for most image types.
Q: Is QOI suitable for document archival?
A: QOI provides lossless storage, but its limited ecosystem and lack of metadata support make it unsuitable for institutional archival. Use TIFF or PNG for long-term preservation. QOI excels as a fast intermediate format in processing pipelines.
Q: Can web browsers display QOI images?
A: No, no major web browser supports QOI natively as of 2026. QOI is designed for applications and processing pipelines, not web delivery. For web use, convert to WebP, AVIF, or JPEG instead.
Q: How does QOI compression compare to PNG for documents?
A: For typical scanned documents, QOI produces files 10-30% larger than optimized PNG. The trade-off is encoding speed — QOI encodes 20-50x faster. For high-throughput scanning operations, this speed advantage outweighs the modest size increase.
Q: Does QOI support transparency?
A: Yes, QOI supports full 8-bit alpha transparency in RGBA mode. You can convert DJVU pages with transparent backgrounds using the RGBA color space.
Q: What tools support QOI format?
A: The qoiconv reference tool, Pillow 12+ (Python), GIMP (with plugin), and XnView support QOI. The simple specification makes it easy to add QOI support to any application — reference implementations exist in C, Rust, Go, Python, and many other languages.
Q: Is QOI compression deterministic?
A: Yes, QOI encoding is fully deterministic — the same input always produces the exact same output bytes. This makes QOI useful for caching, checksumming, and reproducible processing pipelines.
Q: Can I convert QOI back to DJVU?
A: Technically yes, using intermediate format conversion, but the result would be a simple single-layer DJVU without the optimized foreground/background separation. Keep original DJVU files for efficient document storage.