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undoc

High-performance Microsoft Office document extraction to Markdown.

Installation

pip install undoc

Usage

Basic Usage

from undoc import parse_file

# Parse a document
doc = parse_file("document.docx")

# Convert to Markdown
markdown = doc.to_markdown()
print(markdown)

# Convert to plain text
text = doc.to_text()

# Convert to JSON
json_data = doc.to_json()

With Context Manager

from undoc import parse_file

with parse_file("document.xlsx") as doc:
    print(doc.to_markdown(frontmatter=True))
    print(f"Sections: {doc.section_count}")
    print(f"Resources: {doc.resource_count}")

Parse from Bytes

from undoc import parse_bytes

with open("document.pptx", "rb") as f:
    data = f.read()

doc = parse_bytes(data)
markdown = doc.to_markdown()

Extract Resources (Images)

from undoc import parse_file

doc = parse_file("document.docx")

# Get all resource IDs
resource_ids = doc.get_resource_ids()

for rid in resource_ids:
    # Get resource metadata
    info = doc.get_resource_info(rid)
    print(f"Resource: {info['filename']} ({info['mime_type']})")

    # Get resource binary data
    data = doc.get_resource_data(rid)

    # Save to file
    with open(info['filename'], 'wb') as f:
        f.write(data)

Document Metadata

from undoc import parse_file

doc = parse_file("document.docx")

print(f"Title: {doc.title}")
print(f"Author: {doc.author}")
print(f"Sections: {doc.section_count}")
print(f"Resources: {doc.resource_count}")

Handling Failures

UndocError.kind says why a call failed, so you can react to the reason instead of matching on message text:

from undoc import ErrorKind, UndocError, parse_file

try:
    doc = parse_file(path)
    print(doc.to_markdown())
except UndocError as err:
    if err.kind is ErrorKind.ZIP_ARCHIVE:
        print("The file is damaged.")
    elif err.kind in (ErrorKind.UNKNOWN_FORMAT, ErrorKind.UNSUPPORTED_FORMAT):
        print("Not a supported Office document.")
    elif err.kind is ErrorKind.ENCRYPTED:
        print("The document is encrypted.")
    else:
        # Also the right branch for a reason this build has no name for.
        print(f"Extraction failed ({err.kind}): {err}")

The numbers behind ErrorKind are a stable ABI contract: a new reason takes the next free number and existing ones are never renumbered. Always keep a final else — an unrecognised value arrives as a plain int rather than an ErrorKind, so that a newer native library stays usable. kind is ErrorKind.OTHER for failures raised by the wrapper itself, and never ErrorKind.NONE (which means success).

Supported Formats

  • DOCX - Microsoft Word documents
  • XLSX - Microsoft Excel spreadsheets
  • PPTX - Microsoft PowerPoint presentations

Features

  • RAG-Ready Output: Structured Markdown optimized for RAG/LLM applications
  • High Performance: Native Rust implementation via FFI
  • Asset Extraction: Images and embedded resources
  • Metadata Preservation: Document properties, styles, formatting
  • Cross-Platform: Windows, Linux, macOS (Intel & ARM)

API Reference

Functions

  • parse_file(path) - Parse document from file path
  • parse_bytes(data) - Parse document from bytes
  • version() - Get library version

Undoc Class

Conversion Methods

  • to_markdown(frontmatter=False, escape_special=False, paragraph_spacing=False) - Convert to Markdown
  • to_text() - Convert to plain text
  • to_json(compact=False) - Convert to JSON
  • plain_text() - Get plain text (fast extraction)

Properties

  • title - Document title
  • author - Document author
  • section_count - Number of sections
  • resource_count - Number of resources

Resource Methods

  • get_resource_ids() - List of resource IDs
  • get_resource_info(id) - Resource metadata
  • get_resource_data(id) - Resource binary data

License

MIT License - see LICENSE for details.

Metadata

Release files for undoc 0.12.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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Table of built distributions (wheels) for undoc 0.12.0
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undoc-0.12.0-py3-none-any.whl Python 3 none any Details

Total release size: 8.7 MB

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