Skip to main content

ReadOnly python-docx fork lib

Project description

Docxray

A sophisticated DOCX analysis library — fork of python-docx with advanced parsing, styling intelligence, and deep ECMA-376 compliance.

Built for reading, inspecting, and transforming .docx (OOXML Transitional) documents with precision.


✨ Key Features

  • 🧠 Smart property resolution – inherits formatting from style hierarchies, following ECMA-376 rules (not just raw XML values)
  • 🖼️ Rich image support – works with Pillow or Wand (ImageMagick); handles modern formats plus legacy WMF/EMF
  • 🔄 HTML transformation – proxy objects (Paragraph, Table, etc.) include methods to convert content to HTML with rendering options
  • XSD soft validation – validates simple types against the official schema
  • 🔢 Intelligent list handling – numeral module correctly restores list-item text for most common cases

🚀 Quick Start

from docxray import Document

doc = Document("path/to/your/document.docx")

# Iterate through all inner content
for item in doc.iter_inner_content():
    # Process paragraphs, tables, runs, etc.
    pass

📦 Installation

pip install docxray

Additional Dependencies

ImageMagick is required for full image processing support when using the Wand library. Without ImageMagick, Docxray will fall back to using Pillow for image handling.

  • For Wand (recommended for advanced formats like WMF/EMF):
    • macOS: brew install imagemagick
    • Ubuntu/Debian: sudo apt-get install imagemagick libmagickwand-dev
    • Windows: Download and install from ImageMagick official site (ensure the development headers are included)

Note: If both Wand and ImageMagick are available, Docxray will use them for superior format support. If ImageMagick is missing, the library automatically falls back to Pillow for basic image operations.


📖 Documentation

Docxray is designed for read‑only document analysis. It provides:

  • Full access to document structure (paragraphs, runs, tables, images)
  • Styling attributes resolved through the complete OOXML style inheritance chain
  • Convenient proxies for manipulating content before export (e.g., to HTML)
  • Validation utilities to check document conformance

🧪 Example: Inspecting Run Properties

for item in doc.iter_inner_content():
    if isinstance(item, Paragraph):
        for p_item in item.iter_inner_content():
            if isinstance(p_item, Run) and p_item.italic:
                print(f"Italic text: {p_item.raw_text}")

📄 License

MIT — free for personal and commercial use.


🙏 Acknowledgements

Built as a fork of the excellent python-docx project, extended for deeper ECMA-376 compliance and analysis capabilities.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

docxray-0.0.0a20.tar.gz (140.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

docxray-0.0.0a20-py3-none-any.whl (179.5 kB view details)

Uploaded Python 3

File details

Details for the file docxray-0.0.0a20.tar.gz.

File metadata

  • Download URL: docxray-0.0.0a20.tar.gz
  • Upload date:
  • Size: 140.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.10

File hashes

Hashes for docxray-0.0.0a20.tar.gz
Algorithm Hash digest
SHA256 4c149908554f5fc390599bf3324bc55c0185a7503a5568c623fb2f7c1a45a0b4
MD5 c7fda1b916f16c8be75fb8dbc4179dd4
BLAKE2b-256 32a8cad4c4adbd593318620b022ad6d61ed177811c4e07da8df637c1b0fd6469

See more details on using hashes here.

File details

Details for the file docxray-0.0.0a20-py3-none-any.whl.

File metadata

  • Download URL: docxray-0.0.0a20-py3-none-any.whl
  • Upload date:
  • Size: 179.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.10

File hashes

Hashes for docxray-0.0.0a20-py3-none-any.whl
Algorithm Hash digest
SHA256 a5de22c52d2916e89689661350a46a4e6f0783fe5d5fa82cdd2570210fc6e1dd
MD5 e863bbaab27b232db763ff9c0008cdf2
BLAKE2b-256 d7beb94bc19929aeb8e2f0b7198da82ec164da56d5b7f331c86ca855876651e9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page