pdfspine

An Apache-2.0-licensed, pure-Rust reimplementation of PyMuPDF (fitz), with PyO3 Python bindings.

🦴 Part of the spine family — framework-free backend engines, each the spine of a domain: zero framework lock-in, Protocol-ized seams, offline-capable. pdfspine is the PDF spine (this repo); ragspine is the RAG spine (deterministic dual-channel retrieval + agent orchestration).

🤖 For AI agents / LLMs: before using this library, read llms.txt (concise index) and python/pdfspine/_llms/docs/ (full API / recipes / gotchas); after pip install they ship at site-packages/pdfspine/_llms/.

Status: alpha / pre-1.0, but the core is feature-complete. pdfspine can already parse/repair/decrypt PDFs, extract text & tables, search, edit / merge / split / save (incl. byte-exact incremental), encrypt, annotate, fill & flatten forms, redact (destructively), open image files as documents, render pages to images, and OCR (Tesseract + a pure-Rust PaddleOCR engine, stronger on CJK). 89.3% (687 / 769) of the PyMuPDF 1.24 public API is implemented and tested (climbing), with 1349+ Rust tests + 593+ Python tests green. Text extraction is at fitz parity (and beats fitz on Arabic / RTL), rendering is near-parity and ~1.74× faster, and the pure-Rust PaddleOCR engine beats fitz on CJK scans (see Accuracy). Now on PyPI: pip install pdfspine (see Install); or build from source.

Why pdfspine?

PyMuPDF is excellent, but it is AGPL-3.0 (or a commercial license from Artifex) — a non-starter for many closed-source products, SaaS backends, and permissively-licensed open-source projects.

pdfspine is a drop-in-shaped, permissively-licensed (Apache-2.0) alternative:

• Apache-2.0 throughout — permissive, with an explicit patent grant. The dependency graph is gated by cargo-deny to exclude GPL / AGPL / LGPL / MPL / SSPL from the shipped wheel. License cleanliness is CI-enforced, not a promise.
• Pure Rust, no C blob. Self-contained wheels, no system zlib/C linkage, no bundled prebuilt engine (the differentiator vs pdfium-based wrappers).
• import fitz compatible (opt-in). A compatibility shim lets much existing PyMuPDF code run unmodified — available as import pdfspine.fitz as fitz, or registered under the global fitz / pymupdf names with one call to pdfspine.install_fitz_shim(). A default install is collision-safe: it does not claim those global names, so it coexists with a real PyMuPDF in the same environment. A machine-readable COMPAT.toml documents every symbol's status.
• Memory-safe by construction. #![forbid(unsafe_code)] in every first-party crate except the single audited PyO3 FFI chokepoint.
• Clean-room. No code, tests, or fixtures derived from MuPDF / PyMuPDF / any AGPL source.

What works today

Planned next: reading-order accuracy improvements, Type1/Type3 glyph rendering, broader CJK coverage. See PRD.md / docs/ROADMAP.md. Out of scope: digital-signature creation.

Install

pip install pdfspine

pdfspine is on PyPI. OCR works out of the box: the PP-OCRv5 weights ship in the shared ocrspine-models data package — a runtime dependency pip pulls in automatically — so the wheel itself stays lean and no longer embeds them. To build from source instead, see Build & install.

Quick start

import pdfspine

doc = pdfspine.open("input.pdf")
print(len(doc), "pages", doc.metadata)

page = doc[0]
print(page.get_text())                       # plain text
print(page.search_for("invoice"))            # list[Rect]
page.get_pixmap(dpi=150).save("page1.png")   # render to image

tables = page.find_tables()
for t in tables.tables:
    print(t.to_markdown())                    # or t.to_html() for merged cells

# Optional: pip install "pdfspine[tatr]", then prefetch the pinned checkpoints.
vision_tables = page.find_tables(strategy="vision", backend="tatr")

doc.save("output.pdf", garbage=4, deflate=True)
doc.save_html("output.html")                 # complete UTF-8 HTML5 document

# Markdown → PDF (pdfspine original extension — not part of the PyMuPDF surface)
pdfspine.markdown_to_pdf("# Title\n\nHello **Markdown**!").save("hello.pdf")

Existing PyMuPDF code often runs unchanged via the opt-in compat shim:

import pdfspine.fitz as fitz                  # the shim, no global-name collision
doc = fitz.open("input.pdf")
text = doc[0].get_text("dict")

# Or make the literal `import fitz` resolve to the shim (one-time opt-in):
import pdfspine
pdfspine.install_fitz_shim()
import fitz                                    # now -> pdfspine's fitz shim

A default install does not claim the global fitz / pymupdf names, so it is safe alongside a real PyMuPDF; install_fitz_shim() uses setdefault and never clobbers a PyMuPDF you imported first.

Command line:

pdfspine info report.pdf
pdfspine text report.pdf --pages 1-3 --format json -o out.json
pdfspine render report.pdf --dpi 200 -o images/
pdfspine merge a.pdf b.pdf -o merged.pdf

Accuracy

Validated against an objective ground-truth harness and with PyMuPDF (fitz) as the differential oracle (clean-room: the AGPL oracle is run locally only and never committed). See docs/BENCHMARKS.md and the conformance/gt/ reports for the dated, reproducible evidence.

• Text extraction is at fitz parity on born-digital corpora, and beats fitz on Arabic / RTL (correct bidi reordering).
• Rendering is near-parity with fitz (page-image SSIM ~0.945) and ~1.74× faster after a font-cache fix.
• OCR beats fitz on CJK scans: the pure-Rust PaddleOCR engine (PP-OCRv5, with weights from the shared ocrspine-models package) outperforms fitz's OCR path on Chinese/Japanese/Korean documents.
• Real-corpus robustness: open rate 100%, 0 panics/hangs, re-saved files 100% qpdf --check-clean across the public-domain US-government corpus.

Remaining accuracy work (multi-column reading order, Type1/Type3 glyph rendering, broader CJK) is tracked in docs/PRD-NEXT.md.

Build & install

Requirements: Rust (pinned to 1.96.0 by rust-toolchain.toml), Python ≥ 3.12, maturin ≥ 1.7. uv recommended.

uv venv .venv && source .venv/bin/activate
maturin develop                 # build + install the extension in-place
python -c "import pdfspine; print(pdfspine.__version__)"
# redistributable wheel:
maturin build --release         # -> target/wheels/

Building from source needs a C/asm compiler. The bundled pure-Rust PaddleOCR engine depends on tract, which compiles target-specific assembly kernels at build time: a C compiler (cc/clang) on Linux/macOS, or the MSVC Build Tools (incl. ml64.exe) on Windows. Prebuilt PyPI wheels need none of this. To build a fully C-free library, compile the Rust crates with --no-default-features (drops the paddle-ocr feature). The wheel no longer embeds the OCR models — they ship in the shared ocrspine-models package (a runtime dependency).

Architecture

A Cargo workspace with a strict dependency DAG; the Python bindings touch exactly one façade crate, and core logic is split into independently testable units.

                  py-bindings   (PyO3 cdylib -> pdfspine._core, abi3-py311)
                       │
                       ▼
                    pdf-api      facade / re-exports
        ┌──────────┬───┴────┬──────────┐
        ▼          ▼        ▼          ▼
    pdf-text   pdf-edit  pdf-image  pdf-render
        │          │        │          │
        └────┬─────┘        │     (fonts, text)
             ▼              │
         pdf-fonts ◄────────┘
             ▼
         pdf-core   ◄────────  pdf-crypto

Develop / test

./ci.sh                                      # complete local/CI/pre-push gate
# Individual focused checks remain available:
python scripts/quality_gate.py --help
python conformance/run_validation.py …       # real-corpus accuracy harness

pdfspine is built strictly test-first (red → green → refactor → harden); the per-function test plan is in docs/test-case-catalog.md.

Documentation

Guide + API reference + PyMuPDF migration guide: build the docs site with mkdocs serve (see mkdocs.yml / docs/). The authoritative design lives in PRD.md.

License

Apache-2.0 — see LICENSE and NOTICE. All third-party dependencies are permissive (MIT / Apache-2.0 / BSD / Zlib / …); the shipped graph is CI-verified free of copyleft.