Skip to main content

High-performance HWP/HWPX document extraction library

Project description

unhwp

High-performance Python library for extracting HWP/HWPX Korean word processor documents to Markdown.

Installation

pip install unhwp

Quick Start

import unhwp

# Simple conversion
markdown = unhwp.to_markdown("document.hwp")
print(markdown)

# Extract plain text
text = unhwp.extract_text("document.hwp")

# Full parsing with images
with unhwp.parse("document.hwp") as result:
    print(result.markdown)
    print(f"Sections: {result.section_count}")
    print(f"Paragraphs: {result.paragraph_count}")

    # Save images
    for img in result.images:
        img.save(f"output/{img.name}")

Features

  • Fast: Native Rust library with zero-copy parsing
  • Complete: Extracts text, tables, images, and document structure
  • Clean Output: Optional cleanup pipeline for polished Markdown
  • Format Support: HWP 5.0, HWPX, and HWP 3.x (legacy)

API Reference

Functions

to_markdown(path) -> str

Convert an HWP/HWPX document to Markdown.

markdown = unhwp.to_markdown("document.hwp")

to_markdown_with_cleanup(path, cleanup_options=None) -> str

Convert with optional cleanup.

markdown = unhwp.to_markdown_with_cleanup(
    "document.hwp",
    cleanup_options=unhwp.CleanupOptions.aggressive()
)

extract_text(path) -> str

Extract plain text content.

text = unhwp.extract_text("document.hwp")

parse(path, render_options=None) -> ParseResult

Parse a document with full access to content and images.

with unhwp.parse("document.hwp") as result:
    print(result.markdown)
    print(result.text)
    for img in result.images:
        print(img.name, len(img.data))

detect_format(path) -> int

Detect the document format.

fmt = unhwp.detect_format("document.hwp")
if fmt == unhwp.FORMAT_HWP5:
    print("HWP 5.0 format")
elif fmt == unhwp.FORMAT_HWPX:
    print("HWPX format")

Classes

RenderOptions

Options for Markdown rendering.

opts = unhwp.RenderOptions(
    include_frontmatter=True,
    image_path_prefix="images/",
    preserve_line_breaks=False,
)

CleanupOptions

Options for output cleanup.

# Presets
opts = unhwp.CleanupOptions.minimal()
opts = unhwp.CleanupOptions.default()
opts = unhwp.CleanupOptions.aggressive()
opts = unhwp.CleanupOptions.disabled()

# Custom
opts = unhwp.CleanupOptions(
    enabled=True,
    preset=1,
    detect_mojibake=True,
)

Constants

  • FORMAT_UNKNOWN - Unknown format
  • FORMAT_HWP5 - HWP 5.0 binary format
  • FORMAT_HWPX - HWPX XML format
  • FORMAT_HWP3 - HWP 3.x legacy format

Platform Support

  • Windows (x64)
  • Linux (x64)
  • macOS (x64, ARM64)

License

MIT License - see LICENSE for details.

Links

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

unhwp-0.2.3.tar.gz (7.8 MB view details)

Uploaded Source

Built Distribution

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

unhwp-0.2.3-py3-none-any.whl (7.9 MB view details)

Uploaded Python 3

File details

Details for the file unhwp-0.2.3.tar.gz.

File metadata

  • Download URL: unhwp-0.2.3.tar.gz
  • Upload date:
  • Size: 7.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for unhwp-0.2.3.tar.gz
Algorithm Hash digest
SHA256 62c6642a7dae8af1e531d61de81d4819bd63c1d782bc78bea7a9d0440471ff46
MD5 38692d070bbcb45049b393bcc55fc6e2
BLAKE2b-256 5dfe1b340207822e9e5d41f212bc151298868aa190c22ae16c37372468ab8647

See more details on using hashes here.

File details

Details for the file unhwp-0.2.3-py3-none-any.whl.

File metadata

  • Download URL: unhwp-0.2.3-py3-none-any.whl
  • Upload date:
  • Size: 7.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for unhwp-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 1e1334a3ba1eaf3dfe59eea1237a92776f6f9f2100b044f7138f5da707fa1066
MD5 de89e28f82fd10afbe30bb721736b4ca
BLAKE2b-256 07e8fcb5b229c05aa3261455fdc9eb7e9e149d2dea7a2ce0d93e1a85288bd1be

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