https://docs.rs/oxidize-pdf

oxidize-pdf

A pure Rust PDF generation and manipulation library with zero external PDF dependencies. Production-ready for basic PDF functionality with validated performance of 3,000-4,000 pages/second for realistic business documents, memory safety guarantees, and a compact 5.2MB binary size.

Features

• 🚀 Pure Rust Core - No C dependencies for PDF operations (OCR feature requires Tesseract)
• 📄 PDF Generation - Create multi-page documents with text, graphics, and images
• 🔍 PDF Parsing - Read and extract content from existing PDFs (tested on 759 real-world PDFs*)
• 🛡️ Corruption Recovery - Robust error recovery for damaged or malformed PDFs (98.8% success rate)
• ✂️ PDF Operations - Split, merge, and rotate PDFs while preserving basic content
• 🖼️ Image Support - Embed JPEG and PNG images with automatic compression
• 🎨 Transparency & Blending - Full alpha channel, SMask, blend modes for watermarking and overlays
• 🌏 CJK Text Support - Chinese, Japanese, and Korean text rendering and extraction with ToUnicode CMap
• 🎨 Rich Graphics - Vector graphics with shapes, paths, colors (RGB/CMYK/Gray)
• 📝 Advanced Text - Custom TTF/OTF fonts, standard fonts, text flow with automatic wrapping, alignment
• 🅰️ Custom Fonts - Load and embed TrueType/OpenType fonts with full Unicode support
• 🔍 OCR Support - Extract text from scanned PDFs using Tesseract OCR (v0.1.3+)
• 🤖 AI/RAG Integration - Document chunking for LLM pipelines with sentence boundaries and metadata (v1.3.0+)
• 📋 Invoice Extraction - Automatic structured data extraction from invoice PDFs with multi-language support (v1.6.2+)
• 🗜️ Compression - Built-in FlateDecode compression for smaller files
• 🔒 Type Safe - Leverage Rust's type system for safe PDF manipulation

🎉 What's New

Latest: v1.6.2 - Invoice Data Extraction:

• 📋 Structured Invoice Extraction - Pattern-based field extraction with confidence scoring
• 🌍 Multi-Language Support - Spanish, English, German, and Italian invoice formats
• 🎯 14 Field Types - Invoice numbers, dates, amounts, VAT numbers, supplier/customer names, line items
• 🔢 Smart Number Parsing - Language-aware decimal handling (1.234,56 vs 1,234.56)
• 📊 Confidence Scoring - 0.0-1.0 confidence scores with configurable thresholds
• 🔧 Builder Pattern API - Ergonomic configuration with sensible defaults
• 📖 Comprehensive Documentation - 500+ line user guide with examples and troubleshooting
• ⚡ High Performance - <100ms extraction for typical invoices, thread-safe extractor

v1.3.0 - AI/RAG Integration:

• 🤖 Document Chunking for LLMs - Production-ready chunking with 0.62ms for 100 pages
• 📊 Rich Metadata - Page tracking, position info, confidence scores
• ✂️ Smart Boundaries - Sentence boundary detection for semantic coherence
• ⚡ High Performance - 3,000-4,000 pages/second for realistic business documents
• 📚 Complete Examples - RAG pipeline with embeddings and vector store integration

Production-Ready Features (v1.2.3-v1.2.5):

• 🛡️ Corruption Recovery - Comprehensive error recovery system (v1.1.0+, polished in v1.2.3)
  • Automatic XRef table rebuild for broken cross-references
  • Lenient parsing mode with multiple recovery strategies
  • Partial content extraction from damaged files
  • 98.8% success rate on 759 real-world PDFs
• 🎨 PNG Transparency - Full transparency support (v1.2.3)
  • PNG images with alpha channels
  • SMask (Soft Mask) generation
  • 16 blend modes (Normal, Multiply, Screen, Overlay, etc.)
  • Opacity control and watermarking capabilities
• 🌏 CJK Text Support - Complete Asian language support (v1.2.3-v1.2.4)
  • Chinese (Simplified & Traditional), Japanese, Korean
  • CMap parsing and ToUnicode generation
  • Type0 fonts with CID mapping
  • UTF-16BE encoding with Adobe-Identity-0

Major features (v1.1.6+):

• 🅰️ Custom Font Support - Load TTF/OTF fonts from files or memory
• ✍️ Advanced Text Formatting - Character spacing, word spacing, text rise, rendering modes
• 📋 Clipping Paths - Both EvenOdd and NonZero winding rules
• 💾 In-Memory Generation - Generate PDFs without file I/O using to_bytes()
• 🗜️ Compression Control - Enable/disable compression with set_compress()

Significant improvements in PDF compatibility:

• 📈 Better parsing: Handles circular references, XRef streams, object streams
• 🛡️ Stack overflow protection - Production-ready resilience against malformed PDFs
• 🚀 Performance: 35.9 PDFs/second parsing speed (validated on 759 real-world PDFs)
• ⚡ Error recovery - Multiple fallback strategies for corrupted files
• 🔧 Lenient parsing - Graceful handling of malformed structures
• 💾 Memory optimization: OptimizedPdfReader with LRU cache

Note: *Success rates apply only to non-encrypted PDFs with basic features. The library provides basic PDF functionality. See Known Limitations for a transparent assessment of current capabilities and planned features.

🏆 Why oxidize-pdf?

Performance & Efficiency

• Production-ready performance - 3,000-4,000 pages/second generation, 35.9 PDFs/second parsing
• 5.2 MB binary - 3x smaller than PDFSharp, 40x smaller than IronPDF
• Zero dependencies - No runtime, no Chrome, just a single binary
• Low memory usage - Efficient streaming for large PDFs

Safety & Reliability

• Memory safe - Guaranteed by Rust compiler (no null pointers, no buffer overflows)
• Type safe API - Catch errors at compile time
• 3,000+ tests - Comprehensive test suite with real-world PDFs
• No CVEs possible - Memory safety eliminates entire classes of vulnerabilities

Developer Experience

• Modern API - Designed in 2024, not ported from 2005
• True cross-platform - Single binary runs on Linux, macOS, Windows, ARM
• Easy deployment - One file to ship, no dependencies to manage
• Fast compilation - Incremental builds in seconds

Quick Start

Add oxidize-pdf to your Cargo.toml:

[dependencies]
oxidize-pdf = "1.6.8"

# For OCR support (optional)
oxidize-pdf = { version = "1.6.8", features = ["ocr-tesseract"] }

Basic PDF Generation

use oxidize_pdf::{Document, Page, Font, Color, Result};

fn main() -> Result<()> {
    // Create a new document
    let mut doc = Document::new();
    doc.set_title("My First PDF");
    doc.set_author("Rust Developer");
    
    // Create a page
    let mut page = Page::a4();
    
    // Add text
    page.text()
        .set_font(Font::Helvetica, 24.0)
        .at(50.0, 700.0)
        .write("Hello, PDF!")?;
    
    // Add graphics
    page.graphics()
        .set_fill_color(Color::rgb(0.0, 0.5, 1.0))
        .circle(300.0, 400.0, 50.0)
        .fill();
    
    // Add the page and save
    doc.add_page(page);
    doc.save("hello.pdf")?;
    
    Ok(())
}

AI/RAG Document Chunking (v1.3.0+)

use oxidize_pdf::ai::DocumentChunker;
use oxidize_pdf::parser::{PdfReader, PdfDocument};
use oxidize_pdf::Result;

fn main() -> Result<()> {
    // Load and parse PDF
    let reader = PdfReader::open("document.pdf")?;
    let pdf_doc = PdfDocument::new(reader);
    let text_pages = pdf_doc.extract_text()?;

    // Prepare page texts with page numbers
    let page_texts: Vec<(usize, String)> = text_pages
        .iter()
        .enumerate()
        .map(|(idx, page)| (idx + 1, page.text.clone()))
        .collect();

    // Create chunker: 512 tokens per chunk, 50 tokens overlap
    let chunker = DocumentChunker::new(512, 50);
    let chunks = chunker.chunk_text_with_pages(&page_texts)?;

    // Process chunks for RAG pipeline
    for chunk in chunks {
        println!("Chunk {}: {} tokens", chunk.id, chunk.tokens);
        println!("  Pages: {:?}", chunk.page_numbers);
        println!("  Position: chars {}-{}",
            chunk.metadata.position.start_char,
            chunk.metadata.position.end_char);
        println!("  Sentence boundary: {}",
            chunk.metadata.sentence_boundary_respected);

        // Send to embedding API, store in vector DB, etc.
        // let embedding = openai.embed(&chunk.content)?;
        // vector_db.insert(chunk.id, embedding, chunk.content)?;
    }

    Ok(())
}

Invoice Data Extraction (v1.6.2+)

use oxidize_pdf::Document;
use oxidize_pdf::text::extraction::{TextExtractor, ExtractionOptions};
use oxidize_pdf::text::invoice::{InvoiceExtractor, InvoiceField};

fn main() -> Result<(), Box<dyn std::error::Error>> {
    // Open PDF invoice
    let doc = Document::open("invoice.pdf")?;
    let page = doc.get_page(1)?;

    // Extract text from page
    let text_extractor = TextExtractor::new();
    let extracted = text_extractor.extract_text(&doc, page, &ExtractionOptions::default())?;

    // Extract structured invoice data
    let invoice_extractor = InvoiceExtractor::builder()
        .with_language("es")           // Spanish invoices
        .confidence_threshold(0.7)      // 70% minimum confidence
        .build();

    let invoice = invoice_extractor.extract(&extracted.fragments)?;

    // Access extracted fields
    println!("Extracted {} fields with {:.0}% overall confidence",
        invoice.field_count(),
        invoice.metadata.extraction_confidence * 100.0
    );

    for field in &invoice.fields {
        match &field.field_type {
            InvoiceField::InvoiceNumber(number) => {
                println!("Invoice: {} ({:.0}% confidence)", number, field.confidence * 100.0);
            }
            InvoiceField::TotalAmount(amount) => {
                println!("Total: €{:.2} ({:.0}% confidence)", amount, field.confidence * 100.0);
            }
            InvoiceField::InvoiceDate(date) => {
                println!("Date: {} ({:.0}% confidence)", date, field.confidence * 100.0);
            }
            _ => {}
        }
    }

    Ok(())
}

Supported Languages: Spanish (ES), English (EN), German (DE), Italian (IT)

Extracted Fields: Invoice number, dates, amounts (total/tax/net), VAT numbers, supplier/customer names, currency, line items

See docs/INVOICE_EXTRACTION_GUIDE.md for complete documentation.

Custom Fonts Example

use oxidize_pdf::{Document, Page, Font, Color, Result};

fn main() -> Result<()> {
    let mut doc = Document::new();
    doc.set_title("Custom Fonts Demo");

    // Load a custom font from file
    doc.add_font("MyFont", "/path/to/font.ttf")?;

    // Or load from bytes
    let font_data = std::fs::read("/path/to/font.otf")?;
    doc.add_font_from_bytes("MyOtherFont", font_data)?;

    let mut page = Page::a4();

    // Use standard font
    page.text()
        .set_font(Font::Helvetica, 14.0)
        .at(50.0, 700.0)
        .write("Standard Font: Helvetica")?;

    // Use custom font
    page.text()
        .set_font(Font::Custom("MyFont".to_string()), 16.0)
        .at(50.0, 650.0)
        .write("Custom Font: This is my custom font!")?;

    // Advanced text formatting with custom font
    page.text()
        .set_font(Font::Custom("MyOtherFont".to_string()), 12.0)
        .set_character_spacing(2.0)
        .set_word_spacing(5.0)
        .at(50.0, 600.0)
        .write("Spaced text with custom font")?;

    doc.add_page(page);
    doc.save("custom_fonts.pdf")?;

    Ok(())
}

Parse Existing PDF

use oxidize_pdf::{PdfReader, Result};

fn main() -> Result<()> {
    // Open and parse a PDF
    let mut reader = PdfReader::open("document.pdf")?;
    
    // Get document info
    println!("PDF Version: {}", reader.version());
    println!("Page Count: {}", reader.page_count()?);
    
    // Extract text from all pages
    let document = reader.into_document();
    let text = document.extract_text()?;
    
    for (page_num, page_text) in text.iter().enumerate() {
        println!("Page {}: {}", page_num + 1, page_text.content);
    }
    
    Ok(())
}

Working with Images & Transparency

use oxidize_pdf::{Document, Page, Image, Result};
use oxidize_pdf::graphics::TransparencyGroup;

fn main() -> Result<()> {
    let mut doc = Document::new();
    let mut page = Page::a4();

    // Load a JPEG image
    let image = Image::from_jpeg_file("photo.jpg")?;

    // Add image to page
    page.add_image("my_photo", image);

    // Draw the image
    page.draw_image("my_photo", 100.0, 300.0, 400.0, 300.0)?;

    // Add watermark with transparency
    let watermark = TransparencyGroup::new().with_opacity(0.3);
    page.graphics()
        .begin_transparency_group(watermark)
        .set_font(oxidize_pdf::text::Font::HelveticaBold, 48.0)
        .begin_text()
        .show_text("CONFIDENTIAL")
        .end_text()
        .end_transparency_group();

    doc.add_page(page);
    doc.save("image_example.pdf")?;

    Ok(())
}

Advanced Text Flow

use oxidize_pdf::{Document, Page, Font, TextAlign, Result};

fn main() -> Result<()> {
    let mut doc = Document::new();
    let mut page = Page::a4();
    
    // Create text flow with automatic wrapping
    let mut flow = page.text_flow();
    flow.at(50.0, 700.0)
        .set_font(Font::Times, 12.0)
        .set_alignment(TextAlign::Justified)
        .write_wrapped("This is a long paragraph that will automatically wrap \
                       to fit within the page margins. The text is justified, \
                       creating clean edges on both sides.")?;
    
    page.add_text_flow(&flow);
    doc.add_page(page);
    doc.save("text_flow.pdf")?;
    
    Ok(())
}

PDF Operations

use oxidize_pdf::operations::{PdfSplitter, PdfMerger, PageRange};
use oxidize_pdf::Result;

fn main() -> Result<()> {
    // Split a PDF
    let splitter = PdfSplitter::new("input.pdf")?;
    splitter.split_by_pages("page_{}.pdf")?; // page_1.pdf, page_2.pdf, ...
    
    // Merge PDFs
    let mut merger = PdfMerger::new();
    merger.add_pdf("doc1.pdf", PageRange::All)?;
    merger.add_pdf("doc2.pdf", PageRange::Pages(vec![1, 3, 5]))?;
    merger.save("merged.pdf")?;
    
    // Rotate pages
    use oxidize_pdf::operations::{PdfRotator, RotationAngle};
    let rotator = PdfRotator::new("input.pdf")?;
    rotator.rotate_all(RotationAngle::Clockwise90, "rotated.pdf")?;
    
    Ok(())
}

OCR Text Extraction

use oxidize_pdf::text::tesseract_provider::{TesseractOcrProvider, TesseractConfig};
use oxidize_pdf::text::ocr::{OcrOptions, OcrProvider};
use oxidize_pdf::operations::page_analysis::PageContentAnalyzer;
use oxidize_pdf::parser::PdfReader;
use oxidize_pdf::Result;

fn main() -> Result<()> {
    // Open a scanned PDF
    let document = PdfReader::open_document("scanned.pdf")?;
    let analyzer = PageContentAnalyzer::new(document);
    
    // Configure OCR provider
    let config = TesseractConfig::for_documents();
    let ocr_provider = TesseractOcrProvider::with_config(config)?;
    
    // Find and process scanned pages
    let scanned_pages = analyzer.find_scanned_pages()?;
    
    for page_num in scanned_pages {
        let result = analyzer.extract_text_from_scanned_page(page_num, &ocr_provider)?;
        println!("Page {}: {} (confidence: {:.1}%)", 
                 page_num, result.text, result.confidence * 100.0);
    }
    
    Ok(())
}

OCR Installation

Before using OCR features, install Tesseract on your system:

macOS:

brew install tesseract
brew install tesseract-lang  # For additional languages

Ubuntu/Debian:

sudo apt-get install tesseract-ocr
sudo apt-get install tesseract-ocr-spa  # For Spanish
sudo apt-get install tesseract-ocr-deu  # For German

Windows: Download from: https://github.com/UB-Mannheim/tesseract/wiki

More Examples

Explore comprehensive examples in the examples/ directory:

• recovery_corrupted_pdf.rs - Handle damaged or malformed PDFs with robust error recovery
• png_transparency_watermark.rs - Create watermarks, blend modes, and transparent overlays
• cjk_text_extraction.rs - Work with Chinese, Japanese, and Korean text
• basic_chunking.rs - Document chunking for AI/RAG pipelines
• rag_pipeline.rs - Complete RAG workflow with embeddings

Run any example:

cargo run --example recovery_corrupted_pdf
cargo run --example png_transparency_watermark
cargo run --example cjk_text_extraction

Supported Features

PDF Generation

• ✅ Multi-page documents
• ✅ Vector graphics (rectangles, circles, paths, lines)
• ✅ Text rendering with standard fonts (Helvetica, Times, Courier)
• ✅ JPEG and PNG image embedding with transparency
• ✅ Transparency groups, blend modes, and opacity control
• ✅ RGB, CMYK, and Grayscale colors
• ✅ Graphics transformations (translate, rotate, scale)
• ✅ Text flow with automatic line wrapping
• ✅ FlateDecode compression

PDF Parsing

• ✅ PDF 1.0 - 1.7 basic structure support
• ✅ Cross-reference table parsing with automatic recovery
• ✅ XRef streams (PDF 1.5+) and object streams
• ✅ Object and stream parsing with corruption tolerance
• ✅ Page tree navigation with circular reference detection
• ✅ Content stream parsing (basic operators)
• ✅ Text extraction with CJK (Chinese, Japanese, Korean) support
• ✅ CMap and ToUnicode parsing for complex encodings
• ✅ Document metadata extraction
• ✅ Filter support (FlateDecode, ASCIIHexDecode, ASCII85Decode, RunLengthDecode, LZWDecode, DCTDecode)
• ✅ Lenient parsing with multiple error recovery strategies

PDF Operations

• ✅ Split by pages, ranges, or size
• ✅ Merge multiple PDFs
• ✅ Rotate pages (90°, 180°, 270°)
• ✅ Basic content preservation

OCR Support (v0.1.3+)

• ✅ Tesseract OCR integration with feature flag
• ✅ Multi-language support (50+ languages)
• ✅ Page analysis and scanned page detection
• ✅ Configurable preprocessing (denoise, deskew, contrast)
• ✅ Layout preservation with position information
• ✅ Confidence scoring and filtering
• ✅ Multiple page segmentation modes (PSM)
• ✅ Character whitelisting/blacklisting
• ✅ Mock OCR provider for testing
• ✅ Parallel and batch processing

Performance

Validated Metrics (based on comprehensive benchmarking):

• PDF Generation: 3,000-4,000 pages/second for realistic business documents
• Complex Content: 670 pages/second for dense analytics dashboards
• PDF Parsing: 35.9 PDFs/second (98.8% success rate on 759 real-world PDFs)
• Memory Efficient: Streaming operations available for large documents
• Pure Rust: No external C dependencies for PDF operations

See PERFORMANCE_HONEST_REPORT.md for detailed benchmarking methodology and results.

Examples

Check out the examples directory for more usage patterns:

• hello_world.rs - Basic PDF creation
• graphics_demo.rs - Vector graphics showcase
• text_formatting.rs - Advanced text features
• custom_fonts.rs - TTF/OTF font loading and embedding
• jpeg_image.rs - Image embedding
• parse_pdf.rs - PDF parsing and text extraction
• comprehensive_demo.rs - All features demonstration
• tesseract_ocr_demo.rs - OCR text extraction (requires --features ocr-tesseract)
• scanned_pdf_analysis.rs - Analyze PDFs for scanned content
• extract_images.rs - Extract embedded images from PDFs
• create_pdf_with_images.rs - Advanced image embedding examples

Run examples with:

cargo run --example hello_world

# For OCR examples
cargo run --example tesseract_ocr_demo --features ocr-tesseract

License

This project is licensed under the GNU Affero General Public License v3.0 (AGPL-3.0) - see the LICENSE file for details.

Why AGPL-3.0?

AGPL-3.0 ensures that oxidize-pdf remains free and open source while protecting against proprietary use in SaaS without contribution back to the community. This license:

• ✅ Allows free use, modification, and distribution
• ✅ Requires sharing modifications if you provide the software as a service
• ✅ Ensures improvements benefit the entire community
• ✅ Supports sustainable open source development

Commercial Products & Licensing

oxidize-pdf-core is free and open source (AGPL-3.0). For commercial products and services:

Commercial Products:

• oxidize-pdf-pro: Enhanced library with advanced features
• oxidize-pdf-api: REST API server for PDF operations
• oxidize-pdf-cli: Command-line interface with enterprise capabilities

Commercial License Benefits:

• ✅ Commercial-friendly terms (no AGPL obligations)
• ✅ Advanced features (cloud OCR, batch processing, digital signatures)
• ✅ Priority support and SLAs
• ✅ Custom feature development
• ✅ Access to commercial products (API, CLI, PRO library)

For commercial licensing inquiries, please open an issue on the GitHub repository.

Known Limitations

oxidize-pdf provides basic PDF functionality. We prioritize transparency about what works and what doesn't.

Working Features

• ✅ Compression: FlateDecode, ASCIIHexDecode, ASCII85Decode, RunLengthDecode, LZWDecode, DCTDecode (JPEG)
• ✅ Color Spaces: DeviceRGB, DeviceCMYK, DeviceGray
• ✅ Fonts: Standard 14 fonts + TTF/OTF custom font loading and embedding
• ✅ Images: JPEG embedding, raw RGB/Gray data
• 🚧 PNG Support: Basic functionality (7 tests failing - compression issues)
• ✅ Operations: Split, merge, rotate, page extraction, text extraction
• ✅ Graphics: Vector operations, clipping paths, transparency (CA/ca)
• ✅ Encryption: RC4 40/128-bit, AES-128/256 with permissions
• ✅ Forms: Basic text fields, checkboxes, radio buttons, combo boxes, list boxes

Known Issues & Missing Features

• 🐛 PNG Compression: 7 tests consistently failing - use JPEG for now
• 🚧 Form Interactions: Forms can be created but not edited interactively
• ❌ Rendering: No PDF to image conversion
• ❌ Advanced Compression: CCITTFaxDecode, JBIG2Decode, JPXDecode
• ❌ Advanced Graphics: Complex patterns, shadings, gradients, advanced blend modes
• ❌ Digital Signatures: Signature fields exist but no signing capability
• ❌ Tagged PDFs: No accessibility/structure support yet
• ❌ Advanced Color: ICC profiles, spot colors, Lab color space
• ❌ JavaScript: No form calculations or validation scripts
• ❌ Multimedia: No sound, video, or 3D content support

Examples Status

We're actively adding more examples for core features. New examples include:

• merge_pdfs.rs - PDF merging with various options
• split_pdf.rs - Different splitting strategies
• extract_text.rs - Text extraction with layout preservation
• encryption.rs - RC4 and AES encryption demonstrations

Important Notes

• Parsing success doesn't mean full feature support
• Many PDFs will parse but advanced features will be ignored
• This is early beta software with significant limitations

Project Structure

oxidize-pdf/
├── oxidize-pdf-core/     # Core PDF library (AGPL-3.0)
├── test-suite/           # Comprehensive test suite
├── docs/                 # Documentation
│   ├── technical/        # Technical docs and implementation details
│   └── reports/          # Analysis and test reports
├── tools/                # Development and analysis tools
├── scripts/              # Build and release scripts
└── test-pdfs/            # Test PDF files

Commercial Products (available separately under commercial license):

• oxidize-pdf-api: REST API server for PDF operations
• oxidize-pdf-cli: Command-line interface with advanced features
• oxidize-pdf-pro: Enhanced library with additional capabilities

See REPOSITORY_ARCHITECTURE.md for detailed information.

Testing

oxidize-pdf includes comprehensive test suites to ensure reliability:

# Run standard test suite (synthetic PDFs)
cargo test

# Run all tests including performance benchmarks
cargo test -- --ignored

# Run with local PDF fixtures (if available)
OXIDIZE_PDF_FIXTURES=on cargo test

# Run OCR tests (requires Tesseract installation)
cargo test tesseract_ocr_tests --features ocr-tesseract -- --ignored

Local PDF Fixtures (Optional)

For enhanced testing with real-world PDFs, you can optionally set up local PDF fixtures:

1. Create a symbolic link: tests/fixtures -> /path/to/your/pdf/collection
2. The test suite will automatically detect and use these PDFs
3. Fixtures are never committed to the repository (excluded in .gitignore)
4. Tests work fine without fixtures using synthetic PDFs

Note: CI/CD always uses synthetic PDFs only for consistent, fast builds.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

Roadmap

oxidize-pdf is under active development. Our focus areas include:

Current Focus

• Parsing & Compatibility: Improving support for diverse PDF structures
• Core Operations: Enhancing split, merge, and manipulation capabilities
• Performance: Optimizing memory usage and processing speed
• Stability: Addressing edge cases and error handling

Upcoming Areas

• Extended Format Support: Additional image formats and encodings
• Advanced Text Processing: Improved text extraction and layout analysis
• Enterprise Features: Features designed for production use at scale
• Developer Experience: Better APIs, documentation, and tooling

Long-term Vision

• Comprehensive PDF standard compliance for common use cases
• Production-ready reliability and performance
• Rich ecosystem of tools and integrations
• Sustainable open source development model

We prioritize features based on community feedback and real-world usage. Have a specific need? Open an issue to discuss!

Support

• 📖 Documentation
• 🐛 Issue Tracker
• 💬 Discussions

Acknowledgments

Built with ❤️ using Rust. Special thanks to the Rust community and all contributors.