pdf_oxide

Library Featured

The fastest Rust PDF library — 0.8ms mean, 5× faster than the industry leaders, 100% pass rate on 3,830 real-world PDFs. Text extraction, Markdown/HTML conversion, PDF creation and editing.

Downloads
316,729
Dependents
30
Stars
1,180
Forks
151
Contributors
37
Commits
1,693
Latest release
0.3.78 ·

About

From the project README ·

PDFOxide - The Fastest PDF Toolkit for 20 Languages — Python, Rust, Go, JS/TS, C#, Java, Kotlin, Swift, C++ & more, plus CLI & AI

New in v0.3.69 — eleven new language bindings. PDFOxide now ships idiomatic bindings for C++, Swift, Kotlin, Dart, R, Julia, Zig, Scala, Clojure, Objective-C, and Elixir, each built over the stable C ABI with its own CI workflow, api-coverage tests, and runnable examples. That brings the toolkit to 20 languages (Rust core + 19 bindings). Want another language? Open an issue and tell us.

The fastest PDF library for text extraction, image extraction, and markdown conversion. A Rust core with bindings for 19 languages — Python, Go, JavaScript / TypeScript, C# / .NET, Java, Kotlin, Scala, Clojure, Ruby, PHP, C++, Objective-C, Swift, Dart, R, Julia, Zig, Elixir, and WASM — plus a CLI tool and MCP server for AI assistants. 0.8ms mean per document, 5× faster than PyMuPDF, 15× faster than pypdf. 100% pass rate on 3,830 real-world PDFs. MIT licensed.

Read the full README

Quick Start

Python
from pdf_oxide import PdfDocument

with PdfDocument("paper.pdf") as doc:
    print(len(doc))                          # number of pages
    for page in doc:
        text = page.text                     # lazy property
        chars = page.chars                   # lazy property
        md = page.markdown(detect_headings=True)

# Direct page access by index
doc = PdfDocument("paper.pdf")
page = doc[0]
text = page.text
pip install pdf_oxide
Rust
use pdf_oxide::PdfDocument;

let mut doc = PdfDocument::open("paper.pdf")?;
let text = doc.extract_text(0)?;
let images = doc.extract_images(0)?;
let markdown = doc.to_markdown(0, Default::default())?;
[dependencies]
pdf_oxide = "0.3"
CLI
pdf-oxide text document.pdf
pdf-oxide markdown document.pdf -o output.md
pdf-oxide search document.pdf "pattern"
pdf-oxide merge a.pdf b.pdf -o combined.pdf
brew install yfedoseev/tap/pdf-oxide
MCP Server (for AI assistants)
# Install
brew install yfedoseev/tap/pdf-oxide   # includes pdf-oxide-mcp

# Configure in Claude Desktop / Claude Code / Cursor
{
  "mcpServers": {
    "pdf-oxide": { "command": "crgx", "args": ["pdf_oxide_mcp@latest"] }
  }
}

Why PDFOxide?

  • Fast — 0.8ms mean per document, 5× faster than PyMuPDF, 15× faster than pypdf, 29× faster than pdfplumber
  • Reliable — 100% pass rate on 3,830 test PDFs, zero panics, zero timeouts
  • Complete — Text extraction, image extraction, PDF creation, and editing in one library
  • Multi-platform — 20 languages (Rust core + 19 bindings: Python, Go, JS/TS, C#/.NET, Java, Kotlin, Scala, Clojure, Ruby, PHP, C++, Objective-C, Swift, Dart, R, Julia, Zig, Elixir, WASM), plus a CLI and MCP server for AI assistants
  • Permissive license — MIT / Apache-2.0 — use freely in commercial and open-source projects

Performance

Benchmarked on 3,830 PDFs from three independent public test suites (veraPDF, Mozilla pdf.js, DARPA SafeDocs). Text extraction libraries only (no OCR). Single-thread, 60s timeout, no warm-up.

Python Libraries
LibraryMeanp99Pass RateLicense
PDFOxide0.8ms9ms100%MIT
PyMuPDF4.6ms28ms99.3%AGPL-3.0
pypdfium24.1ms42ms99.2%Apache-2.0
pymupdf4llm55.5ms280ms99.1%AGPL-3.0
pdftext7.3ms82ms99.0%GPL-3.0
pdfminer16.8ms124ms98.8%MIT
pdfplumber23.2ms189ms98.8%MIT
markitdown108.8ms378ms98.6%MIT
pypdf12.1ms97ms98.4%BSD-3
Rust Libraries
LibraryMeanp99Pass RateText Extraction
PDFOxide0.8ms9ms100%Built-in
oxidize_pdf13.5ms11ms99.1%Basic
unpdf2.8ms10ms95.1%Basic
pdf_extract4.08ms37ms91.5%Basic
lopdf0.3ms2ms80.2%No built-in extraction
Text Quality

99.5% text parity vs PyMuPDF and pypdfium2 across the full corpus. PDFOxide extracts text from 7–10× more "hard" files than it misses vs any competitor.

Corpus
SuitePDFsPass Rate
veraPDF (PDF/A compliance)2,907100%
Mozilla pdf.js89799.2%
SafeDocs (targeted edge cases)26100%
Total3,830100%

100% pass rate on all valid PDFs — the 7 non-passing files across the corpus are intentionally broken test fixtures (missing PDF header, fuzz-corrupted catalogs, invalid xref streams).

Features

ExtractCreateEdit
Text & LayoutDocumentsAnnotations
ImagesTablesForm Fields
FormsGraphicsBookmarks
AnnotationsTemplatesLinks
BookmarksImagesContent

Python API

Page-oriented API
from pdf_oxide import PdfDocument

with PdfDocument("report.pdf") as doc:
    print(len(doc))          # page count
    print(doc.version())

    # Iterate or index pages
    for page in doc:
        text   = page.text                      # str, lazy
        chars  = page.chars                     # list[TextChar], lazy
        words  = page.words                     # list[Word], lazy
        lines  = page.lines                     # list[TextLine], lazy
        tables = page.tables                    # list[Table], lazy
        images = page.images                    # list[Image], lazy
        md     = page.markdown(detect_headings=True)
        html   = page.html()
        print(f"Page {page.index}: {page.width:.0f}×{page.height:.0f} pts")

    # Direct index access (supports negative indices)
    first = doc[0]
    last  = doc[-1]
Scoped extraction
# Extract from a region: (x, y, width, height) in PDF points
header = doc.within(0, (0, 700, 612, 92)).extract_text()
region = doc.within(0, (50, 400, 500, 200))
region_words  = region.extract_words()
region_images = region.extract_images()
Extraction profiles
from pdf_oxide import ExtractionProfile

# Pre-tuned profiles for different document types
words = doc.extract_words(0, profile=ExtractionProfile.form())
lines = doc.extract_text_lines(0, profile=ExtractionProfile.academic())

# Override adaptive thresholds (in PDF points)
words = doc.extract_words(0, word_gap_threshold=2.5)
lines = doc.extract_text_lines(0, word_gap_threshold=2.5, line_gap_threshold=4.0)
params = doc.page_layout_params(0)
print(f"word gap: {params.word_gap_threshold:.1f}")
Form Fields
# Extract form fields
fields = doc.get_form_fields()
for f in fields:
    print(f"{f.name} ({f.field_type}) = {f.value}")

# Fill and save
doc.set_form_field_value("employee_name", "Jane Doe")
doc.set_form_field_value("wages", "85000.00")
doc.save("filled.pdf")

Rust API

use pdf_oxide::PdfDocument;

fn main() -> Result<(), Box<dyn std::error::Error>> {
    let mut doc = PdfDocument::open("paper.pdf")?;

    // Extract text
    let text = doc.extract_text(0)?;

    // Character-level extraction
    let chars = doc.extract_chars(0)?;

    // Extract images
    let images = doc.extract_images(0)?;

    // Vector graphics
    let paths = doc.extract_paths(0)?;

    Ok(())
}
Form Fields (Rust)
use pdf_oxide::editor::{DocumentEditor, EditableDocument, SaveOptions};
use pdf_oxide::editor::form_fields::FormFieldValue;

let mut editor = DocumentEditor::open("w2.pdf")?;
editor.set_form_field_value("employee_name", FormFieldValue::Text("Jane Doe".into()))?;
editor.save_with_options("filled.pdf", SaveOptions::incremental())?;

Installation

Python
pip install pdf_oxide

Wheels available for Linux, macOS, and Windows. Python 3.8–3.14.

Rust
[dependencies]
pdf_oxide = "0.3"
JavaScript/WASM
npm install pdf-oxide-wasm
const { WasmPdfDocument } = require("pdf-oxide-wasm");
CLI
brew install yfedoseev/tap/pdf-oxide    # Homebrew (macOS/Linux)
cargo install pdf_oxide_cli             # Cargo
cargo binstall pdf_oxide_cli            # Pre-built binary via cargo-binstall
MCP Server
brew install yfedoseev/tap/pdf-oxide    # Included with CLI in Homebrew
cargo install pdf_oxide_mcp             # Cargo
Other languages

Established bindings:

  • Go — go get github.com/yfedoseev/pdf_oxide/go — see go/README.md
  • JavaScript / TypeScript (Node.js) — npm install pdf-oxide — see js/README.md
  • C# / .NET — dotnet add package PdfOxide — see csharp/README.md
  • Java (JDK 11+) — Maven coords fyi.oxide:pdf-oxide:0.3.70 — see java/README.md
  • Ruby — gem install pdf_oxide — see ruby/README.md
  • PHP — composer require oxide/pdf-oxide — see php/README.md

New in v0.3.69 (all over the stable C ABI):

<!-- Java (Maven) -->
<dependency>
  <groupId>fyi.oxide</groupId>
  <artifactId>pdf-oxide</artifactId>
  <version>0.3.70</version>
</dependency>
// Kotlin (Gradle, Kotlin DSL)
implementation("fyi.oxide:pdf-oxide-kotlin:0.3.70")

Every binding shares the same Rust core, so a bug fix in one lands in all of them — everything you read in this README applies, just with each language's native naming conventions. Publishing details for each registry are in docs/RELEASING-bindings.md.

CLI

22 commands for PDF processing directly from your terminal:

pdf-oxide text report.pdf                      # Extract text
pdf-oxide markdown report.pdf -o report.md     # Convert to Markdown
pdf-oxide html report.pdf -o report.html       # Convert to HTML
pdf-oxide info report.pdf                      # Show metadata
pdf-oxide search report.pdf "neural.?network"  # Search (regex)
pdf-oxide images report.pdf -o ./images/       # Extract images
pdf-oxide merge a.pdf b.pdf -o combined.pdf    # Merge PDFs
pdf-oxide split report.pdf -o ./pages/         # Split into pages
pdf-oxide watermark doc.pdf "DRAFT"            # Add watermark
pdf-oxide forms w2.pdf --fill "name=Jane"      # Fill form fields

Run pdf-oxide with no arguments for interactive REPL mode. Use --pages 1-5 to process specific pages, --json for machine-readable output.

MCP Server

pdf-oxide-mcp lets AI assistants (Claude, Cursor, etc.) extract content from PDFs locally via the Model Context Protocol.

Add to your MCP client configuration:

{
  "mcpServers": {
    "pdf-oxide": { "command": "crgx", "args": ["pdf_oxide_mcp@latest"] }
  }
}

The server exposes an extract tool that supports text, markdown, and HTML output formats with optional page ranges and image extraction. All processing runs locally — no files leave your machine.

Building from Source

# Clone and build
git clone https://github.com/yfedoseev/pdf_oxide
cd pdf_oxide
cargo build --release

# Run tests
cargo test

# Build Python bindings
maturin develop

# Build the shared library for Go, JS/TS, and C# bindings
cargo build --release --lib
# Output: target/release/libpdf_oxide.{so,dylib} or pdf_oxide.dll

Documentation

Use Cases

  • RAG / LLM pipelines — Convert PDFs to clean Markdown for retrieval-augmented generation with LangChain, LlamaIndex, or any framework
  • AI assistants — Give Claude, Cursor, or any MCP-compatible tool direct PDF access via the MCP server
  • Document processing at scale — Extract text, images, and metadata from thousands of PDFs in seconds
  • Data extraction — Pull structured data from forms, tables, and layouts
  • Academic research — Parse papers, extract citations, and process large corpora
  • PDF generation — Create invoices, reports, certificates, and templated documents programmatically
  • PyMuPDF alternative — MIT licensed, 5× faster, no AGPL restrictions

Notable Users

PDFOxide is a production dependency of RAG engines, collaborative editors, AI coding agents, and arXiv.org's own submission pipeline. Every entry below is verified against that project's public dependency manifest — no self-reported logos, no "trusted by" wall.

Star counts checked 2026-08-21:

  • RAGFlow (89k★) — one of the most popular open-source RAG engines; PDFOxide is the primary PDF engine in its deepdoc parsing pipeline (go.mod)
  • AFFiNE (71.7k★) — open-source Notion/Miro alternative; powers document extraction via AFFiNE's own doc_extractor crate (Cargo.toml)
  • grok-build (25.8k★) — xAI's coding-agent TUI; uses PDFOxide's rendering feature to read PDFs in a repo (Cargo.toml)
  • create-context-graph (Neo4j Labs, 712★) — GraphRAG context-builder; PDFOxide is its primary PDF parser (pyproject.toml)
  • arXiv submission-tools — arXiv.org's own PDF validation and LaTeX-to-PDF submission pipeline

Using PDFOxide in production? Open an issue to be added here.

Why I built this

I needed PyMuPDF's speed without its AGPL license, and I needed it in more than one language. Nothing existed that ticked all three boxes — fast, MIT, multi-language — so I wrote it. The Rust core is what does the real work; the bindings for Python, Go, JS/TS, C#, and WASM are thin shells around the same code, so a bug fix in one lands in all of them. It now passes 100% of the veraPDF + Mozilla pdf.js + DARPA SafeDocs test corpora (3,830 PDFs) on every platform I've tested.

If it's useful to you, a star on GitHub genuinely helps. If something's broken or missing, open an issue — I read all of them.

— Yury

License & trademark

The code is dual-licensed under MIT or Apache-2.0 at your option. Unlike AGPL-licensed alternatives, pdf_oxide can be used freely in any project — commercial or open-source — with no copyleft restrictions.

The name and brand are not covered by the code license: "PDFOxide" (the product name) and "pdf_oxide" (the package name), together with any associated logo, are trademarks of Yury Fedoseev. You may say your product "uses PDFOxide"; please don't name a different or modified product "PDFOxide" or "pdf_oxide". See TRADEMARKS.md, and FORKS.md if you are forking.

© 2025–2026 Yury Fedoseev and the PDFOxide contributors. Contributions are accepted under the project's DCO and CLA; contributors retain ownership of their work.

Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

cargo build && cargo test && cargo fmt && cargo clippy -- -D warnings

Citation

@software{pdf_oxide,
  title = {PDFOxide: Fast Multi-Language PDF Toolkit (Rust core, 19 language bindings)},
  author = {Yury Fedoseev},
  year = {2025},
  url = {https://github.com/yfedoseev/pdf_oxide}
}

20 languages (Rust + Python + Go + JS/TS + C# + Java + Kotlin + Scala + Clojure + Ruby + PHP + C++ + Objective-C + Swift + Dart + R + Julia + Zig + Elixir + WASM) + CLI + MCP | MIT/Apache-2.0 | 100% pass rate on 3,830 PDFs | 0.8ms mean | 5× faster than the industry leaders

Runs on
GPU support unknown
What shows it
  • no dependency or feature matches a backend row
Native code
Optional
  • Binds native code: aws-lc-rs (feature fips), lcms2-sys (feature icc-lcms2), ort-sys (feature gpu)
Python bindings
Has Python bindings
  • pdf_oxide needs Python only with feature python
License
Apache-2.0 OR MIT

Compare with similar projects

Order: strongest tier first, then most downloads, then name, with unmeasured values last. A library counts downloads over 30 days. An app counts binary downloads per release. An app with none counts its crate downloads over 30 days. ML Rust runs this catalogue, so its closest project always gets a row.

pdf_oxide beside the projects that share a topic with it
ProjectDownloadsDependentsStarsLatest releaseRuns on (GPU)Native codeLicense
pdf_oxide This page Featured

The fastest Rust PDF library — 0.8ms mean, 5× faster than the industry leaders, 100% pass rate on 3,830 real-world PDFs. Text extraction, Markdown/HTML conversion, PDF creation and editing.

Python bindings

316,729 downloads over 30 days 30 1,180 0.3.78 GPU support unknown Binds native code: aws-lc-rs (feature fips), lcms2-sys (feature icc-lcms2), ort-sys (feature gpu) Apache-2.0 OR MIT
oxidizePdf App Listed

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edgeparse Listed

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2,384 downloads over 30 days 4 13 0.3.0 GPU support unknown No native code found Apache-2.0 OR MIT
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Not measured Not applicable 3 Not measured Not measured Not measured Apache-2.0
xberg New

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Also in Documents and OCR.

26,095 downloads over 30 days 2 9,565 1.3.10 CUDA, Metal Binds native code: libheif-sys, libz-sys, xberg_libwpd, xberg_tesseract, clipper-sys and 4 more. Build uses a native toolchain: cc, bindgen (feature bindings), cmake (feature build-tesseract), pkg-config (feature dynamic-linking), vcpkg (feature dynamic-linking) MIT
Why FeaturedIt passes every Featured gate.

What it meets

  • It has 26 active dependents and 26 new dependents in 365 days. Featured needs 11 active dependents or 9 new dependents in 365 days.
  • Active dependents are at 100% of their peak. Featured needs at least 50%.
  • Docs are present. The release commit or a manifest ties the crate to the repository.
  • No vulnerability advisory stays unpatched past the grace window. At least one version is neither a prerelease nor 0.0.x.
  • The last activity is on 30 Oct 2026, 10 days ago. The rules expect an update within 1800 days. Dormancy rule

What else the check found

Exact rules: Featured library. The check on applied thresholds version 9.

Every rule outcome, as the check records it
  • expected-interval: version 0.3.78 base 450, doubled for 316729 downloads per month, doubled for 26 active users: E = 1800 days
  • dormancy: last activity 2026-10-30, 10 days ago, E = 1800: active
  • rot: deprecated requirement `ttf-parser (RUSTSEC-2026-0192, https://rustsec.org/advisories/RUSTSEC-2026-0192.html)`
  • featured: featured: active_users 26, new_adopters 26, former_glory 1
Crates2 crates

Measurements and sources

Each signal row shows the raw value, its source and the fetch date. The Sources list gathers every distinct source on this page. Movement needs more history.

Sources6 sources
Adoption26 active dependents, 26 new dependents in 365 days1 not measured
Adoption measurements
SignalValueSourceFetchedCounts
Active dependents26crates.io database dumpYes
New dependents (365 days)26crates.io database dumpYes
Peak active dependents24crates.io database dumpYes
Active dependents as a share of the peak1crates.io database dumpYes
Binary downloads per releaseNot measuredYes
MaintenanceLatest human commit: 10 days ago3 not measured
Maintenance measurements
SignalValueSourceFetchedCounts
Latest human commit2026-10-30GitHub repositoryYes
Latest release2026-09-08crates.io database dumpYes
First release2025-11-05crates.io database dumpYes
Latest version0.3.78crates.io database dumpYes
Days the oldest outside issue waits for a reply75GitHub repositoryYes
Maintainer replies over 365 days81GitHub repositoryYes
Repository archivedfalseGitHub repositoryYes
Repository gonefalseGitHub repositoryYes
Release commit or manifest in the repotruecrates.io packageYes
Published docstruecrates.io database dumpYes
Latest release fails cargo checkNot measuredYes
Build check dateNot measuredYes
Build check toolchainNot measuredYes
SecurityUnpatched vulnerabilities: none
Security measurements
SignalValueSourceFetchedCounts
Unpatched vulnerabilities past the grace windownoneRustSec advisory databaseYes
RustSec unmaintained advisorynoneRustSec advisory databaseYes
Deprecation noticenonecrates.io database dumpYes
Deprecated requirementttf-parser (RUSTSEC-2026-0192, https://rustsec.org/advisories/RUSTSEC-2026-0192.html)crates.io database dumpYes
Distribution82 releases, 316,729 downloads over 30 days5 not measured
Distribution measurements
SignalValueSourceFetchedCounts
Releases82crates.io database dumpYes
Downloads over 30 days316729crates.io database dumpYes
Binary downloads over the last 3 releasesNot measuredYes
Homebrew installs on request over 365 daysNot measuredYes
Repology repository familiesNot measuredYes
Docker pull growth over 90 daysNot measuredYes
Docker pulls at the growth baselineNot measuredYes
Every version a prereleasefalsecrates.io database dumpYes
Every version 0.0.xfalsecrates.io database dumpYes
Every version yankedfalsecrates.io database dumpYes
Crate deleted from crates.iofalsecrates.io database dumpYes
Repository1,180 stars, 151 forks, 37 contributors, 1,693 commits. Stars alone never qualify a project.
Repository measurements
SignalValueSourceFetchedCounts
GitHub stars1180GitHub repositoryYes — one part of the repository route
GitHub forks151GitHub repositoryYes — one part of the repository route
Contributors with a GitHub account37GitHub contributorsYes — one part of the repository route
Commits on the default branch1693GitHub repositoryNo
Repository's main crate left out of the entrynonecrates.io database dumpYes
Facts that never count
Facts that never count measurements
SignalValueSourceFetchedCounts
LicenseApache-2.0 OR MITcrates.io database dumpNo
Runs on, from listed crates and their direct dependenciesGPU support unknowncrates.io database dumpNo
What shows each backendno dependency or feature matches a backend rowcrates.io database dumpNo
Native code, from listed crates and their dependenciesBinds native code: aws-lc-rs (feature fips), lcms2-sys (feature icc-lcms2), ort-sys (feature gpu)crates.io database dumpNo
Python bindings, from direct dependencies of listed cratesHas Python bindings: pdf_oxide needs Python only with feature pythoncrates.io database dumpNo
Crates that depend on a listed crate directly30crates.io database dumpNo

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