micropdf 0.14.1

Python bindings for MicroPDF - High-performance PDF manipulation library

MicroPDF Python Bindings

High-performance PDF manipulation library for Python with native Rust FFI bindings.

Features

• 🚀 Fast - Powered by Rust and MicroPDF
• 🐍 Pythonic - Clean, idiomatic Python API
• 🔧 Easy to Use - Simple API for common tasks
• 🎯 Type-Safe - Full type hints with mypy support
• 📦 Zero Dependencies - Only requires cffi
• 🔒 Memory Safe - Automatic resource management

Installation

From Source

# Build the Rust library first
cd ../micropdf-rs
cargo build --release

# Install Python package
cd ../micropdf-py
pip install -e .

Requirements

• Python 3.8+
• cffi >= 1.16.0
• Compiled micropdf-rs library

Quick Start

Easy API (Recommended for Beginners)

from micropdf import EasyPDF

# Extract text from all pages
text = EasyPDF.extract_text('document.pdf')
print(text)

# Extract text from specific page
text = EasyPDF.extract_text('document.pdf', page=0)

# Render page to PNG
EasyPDF.render_to_png('document.pdf', 'output.png', page=0, dpi=300)

# Get document info
info = EasyPDF.get_info('document.pdf')
print(f"Pages: {info.page_count}")
print(f"Title: {info.title}")
print(f"Author: {info.author}")

Fluent API with Context Manager

from micropdf import EasyPDF

with EasyPDF.open('document.pdf') as pdf:
    # Get info
    print(f"Pages: {pdf.page_count()}")
    print(f"Metadata: {pdf.get_metadata()}")

    # Extract text from all pages
    all_text = pdf.extract_all_text()

    # Extract text from specific page
    page_text = pdf.extract_page_text(0)

    # Search across all pages
    results = pdf.search_all('keyword')
    for result in results:
        print(f"Found on page {result['page_num']}: {result['bbox']}")

    # Render pages
    pdf.render_page(0, 'page0.png', dpi=300)

    # Render all pages
    paths = pdf.render_all_pages('output_dir', dpi=150)
    print(f"Generated {len(paths)} images")

Low-Level API (Advanced)

from micropdf import Context, Document, Pixmap, Colorspace, Matrix

# Create context
with Context() as ctx:
    # Open document
    with Document.open(ctx, 'document.pdf') as doc:
        print(f"Pages: {doc.page_count()}")
        print(f"Title: {doc.get_metadata('Title')}")

        # Load page
        with doc.load_page(0) as page:
            # Get page bounds
            bounds = page.bounds()
            print(f"Size: {bounds.width()} x {bounds.height()}")

            # Extract text
            text = page.extract_text()
            print(text[:100])

            # Render to pixmap
            matrix = Matrix.scale(2.0, 2.0)  # 2x scale = 144 DPI
            colorspace = Colorspace.device_rgb(ctx)

            with Pixmap.from_page(ctx, page, matrix, colorspace) as pix:
                print(f"Image: {pix.width()}x{pix.height()}")
                pix.save_png('output.png')

API Reference

Easy API

Static Methods

# One-liner operations
text = EasyPDF.extract_text('file.pdf')
text = EasyPDF.extract_text('file.pdf', page=0)
EasyPDF.render_to_png('in.pdf', 'out.png', page=0, dpi=300)
count = EasyPDF.get_page_count('file.pdf')
info = EasyPDF.get_info('file.pdf')

Instance Methods

with EasyPDF.open('file.pdf') as pdf:
    # Document info
    pages = pdf.page_count()
    encrypted = pdf.is_encrypted()
    metadata = pdf.get_metadata()
    info = pdf.get_info()

    # Text extraction
    all_text = pdf.extract_all_text()
    page_text = pdf.extract_page_text(0)

    # Search
    results = pdf.search_all('keyword')

    # Rendering
    pdf.render_page(0, 'page.png', dpi=300)
    paths = pdf.render_all_pages('output_dir', dpi=150)

    # Page info
    bounds = pdf.get_page_bounds(0)

Core Classes

Context

ctx = Context()  # Default 256 MB cache
ctx = Context(max_store=512 * 1024 * 1024)  # 512 MB

with Context() as ctx:
    # ... operations ...
    pass  # Auto-cleanup

Document

# Open from file
doc = Document.open(ctx, 'file.pdf')

# Open from bytes
with open('file.pdf', 'rb') as f:
    data = f.read()
doc = Document.from_bytes(ctx, data)

# Operations
page_count = doc.page_count()
is_encrypted = doc.needs_password()
success = doc.authenticate('password')
title = doc.get_metadata('Title')
page = doc.load_page(0)
doc.save('output.pdf')

Page

page = doc.load_page(0)

# Get bounds
bounds = page.bounds()  # Returns Rect

# Extract text
text = page.extract_text()

# Search
quads = page.search_text('keyword', max_hits=512)

Pixmap

# Create pixmap
colorspace = Colorspace.device_rgb(ctx)
pix = Pixmap.create(ctx, colorspace, 100, 100, alpha=False)

# Render from page
matrix = Matrix.scale(2.0, 2.0)
pix = Pixmap.from_page(ctx, page, matrix, colorspace)

# Operations
width = pix.width()
height = pix.height()
components = pix.components()
raw_data = pix.samples()
png_data = pix.to_png()
pix.save_png('output.png')

Geometry

from micropdf.geometry import Point, Rect, Matrix, Quad

# Point
p = Point(10, 20)
distance = p.distance(other_point)
p2 = p.transform(matrix)

# Rect
r = Rect(0, 0, 612, 792)  # US Letter size
width = r.width()
height = r.height()
area = r.area()
contains = r.contains(point)
intersection = r1.intersect(r2)
union = r1.union(r2)

# Matrix
m = Matrix.identity()
m = Matrix.scale(2.0, 2.0)
m = Matrix.translate(10, 20)
m = Matrix.rotate(90)
m3 = m1.concat(m2)
m3 = m1 @ m2  # Matrix multiplication

# Quad (for rotated text bounding boxes)
q = Quad.from_rect(rect)
r = q.to_rect()

Colorspace

gray = Colorspace.device_gray(ctx)
rgb = Colorspace.device_rgb(ctx)
bgr = Colorspace.device_bgr(ctx)
cmyk = Colorspace.device_cmyk(ctx)

n = colorspace.components()  # 1, 3, or 4
name = colorspace.name()  # "DeviceRGB", etc.

Examples

Extract Text from All Pages

from micropdf import EasyPDF

text = EasyPDF.extract_text('document.pdf')
print(text)

Render All Pages to PNG

from micropdf import EasyPDF

with EasyPDF.open('document.pdf') as pdf:
    paths = pdf.render_all_pages(
        output_dir='pages',
        prefix='page',
        dpi=300
    )
    print(f"Generated {len(paths)} images")

Search and Highlight

from micropdf import EasyPDF

with EasyPDF.open('document.pdf') as pdf:
    results = pdf.search_all('Python')

    for result in results:
        page_num = result['page_num']
        bbox = result['bbox']
        print(f"Found 'Python' on page {page_num} at {bbox}")

Password-Protected PDFs

from micropdf import EasyPDF

with EasyPDF.open_with_password('secret.pdf', 'password') as pdf:
    text = pdf.extract_all_text()
    print(text)

Custom DPI Rendering

from micropdf import Context, Document, Matrix, Pixmap, Colorspace

with Context() as ctx:
    with Document.open(ctx, 'document.pdf') as doc:
        with doc.load_page(0) as page:
            # 300 DPI = 300/72 scale factor
            dpi = 300
            scale = dpi / 72.0
            matrix = Matrix.scale(scale, scale)
            colorspace = Colorspace.device_rgb(ctx)

            with Pixmap.from_page(ctx, page, matrix, colorspace) as pix:
                pix.save_png('high_res.png')

Development

Setup Development Environment

# Install with dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Run tests with coverage
pytest --cov=micropdf --cov-report=html

# Type checking
mypy src/micropdf

# Linting
ruff check src/micropdf

# Formatting
black src/micropdf tests

Building Documentation

cd docs
make html
open _build/html/index.html

Architecture

• FFI Layer (ffi.py): Low-level cffi bindings to Rust library
• Core Classes: Pythonic wrappers around FFI handles
• Easy API (easy.py): High-level, simplified interface
• Automatic Cleanup: Context managers for resource management

Performance

MicroPDF Python bindings provide near-native performance by:

1. Using cffi for efficient C interop
2. Minimizing Python/Rust boundary crossings
3. Leveraging Rust's zero-cost abstractions
4. Direct memory access for pixel data

Comparison with Other Libraries

Feature	MicroPDF	PyMicroPDF	pdfplumber	PyPDF2
Speed	⚡⚡⚡	⚡⚡⚡	⚡	⚡
Memory	✅ Low	✅ Low	⚠️ High	⚠️ High
Type Hints	✅ Full	⚠️ Partial	✅ Full	⚠️ Partial
Easy API	✅ Yes	❌ No	✅ Yes	❌ No
Rendering	✅ Yes	✅ Yes	❌ No	❌ No

License

Apache 2.0

Links

• Documentation: https://lexmata.github.io/micropdf/api/python/
• Repository: https://bitbucket.org/lexmata/micropdf
• Issues: https://bitbucket.org/lexmata/micropdf/issues
• Rust Core: https://docs.rs/micropdf
• Node.js: https://lexmata.github.io/micropdf/api/nodejs/
• Go: https://pkg.go.dev/bitbucket.org/lexmata/micropdf/go-micropdf