Skip to main content

MS Word (.docx) reader/writer with journal-style profiles (MDPI, IEEE, Springer, Elsevier, RESNA, IOP) — standalone module from the SciTeX ecosystem

Project description

scitex-msword

SciTeX

MS Word (.docx) reader/writer with journal-style profiles.

Full Documentation · uv pip install scitex-msword[all]

PyPI Python Tests Coverage Docs License: AGPL v3


Installation

pip install scitex-msword

Quick Start

import scitex_msword as sxm

# Word -> intermediate JSON-like document
doc = sxm.load_docx("input.docx", profile="generic")

# JSON-like document -> Word (apply a journal style)
sxm.save_docx(doc, "output.docx", profile="mdpi-ijerph")

# DOCX -> LaTeX (requires the umbrella `scitex` package for the .tex export step)
sxm.convert_docx_to_tex(
    "manuscript.docx", "manuscript.tex",
    profile="resna-2025", image_dir="figures",
)

1 Interfaces

Python API
import scitex_msword as sxm

# Round-trip
doc = sxm.load_docx("paper.docx", profile="generic")
sxm.save_docx(doc, "paper-styled.docx", profile="ieee")

# Helpers
sxm.link_captions_to_images(doc)
sxm.link_captions_to_images_by_proximity(doc)
sxm.normalize_section_headings(doc)
sxm.validate_document(doc)
sxm.create_post_import_hook(doc)

# Register custom profile
sxm.register_profile("my-style", {...})

Review / dogfooding helpers (unreleased)

import docx
import scitex_msword as sxm

# 1. Diff two .docx versions by paragraph (paragraphs in/out + run-level
#    bold / italic / font / highlight deltas).
ops = sxm.diff_docx("v15.docx", "v16.docx")
sxm.summarize_diff(ops)            # {'equal': 38, 'insert': 4, 'delete': 1, 'modify': 3}

# 2. Visualize edits with highlights (BOOST review convention).
doc = docx.Document("v16.docx")
sxm.mark_additions(doc, runs=[(3, 0), (5, 2)])     # default turquoise
sxm.mark_modifications(doc, runs=[(7, 1)])         # default magenta -> Word PINK

# 3. Read highlights back, bucketed by color name.
sxm.extract_highlights(doc)        # {'turquoise': [...], 'pink': [...]}

# 4. Bold-preserve keyword tokens (Japanese tokens get MS Gothic).
sxm.preserve_bold_tokens(doc, tokens=["JST", "BOOST", "Sovereign Tech"])

# 5. Pull Word comments + their anchor ranges.
comments = sxm.extract_comments("v16.docx")
# Optionally apply REPLACE:-grammar comments as edits.
summary = sxm.apply_comments_as_edits(doc)         # {'applied': 2, 'skipped': 4, ...}

Track Changes (revision) helpers

import docx
import scitex_msword as sxm

# 1. Turn Word's "Track Changes" switch on, so subsequent operator edits
#    are recorded as revisions (writes <w:trackChanges/> to settings.xml).
doc = docx.Document("draft.docx")
sxm.enable_track_changes(doc, enabled=True)
sxm.is_track_changes_enabled(doc)        # True

# 2. Wrap agent edits as <w:ins> / <w:del> so Word renders them as
#    accept/reject-able revisions.
p = doc.paragraphs[10]
sxm.wrap_as_tracked_insertion(p, runs=[2, 3], author="agent")
sxm.wrap_as_tracked_deletion(p, runs=[5],    author="agent")

# 3. Inspect all tracked changes (structured).
for c in sxm.extract_tracked_changes(doc):
    print(c["type"], c["author"], c["text"])

# 4. Bulk accept / reject (Word's "Accept All" / "Reject All").
sxm.accept_all_tracked_changes(doc)        # or reject_all_tracked_changes
doc.save("draft_v27.docx")

MCP server (optional)

pip install scitex-msword[mcp]
python -m scitex_msword.mcp_server          # stdio transport

Tools exposed: diff_docx_tool, mark_additions_tool, mark_modifications_tool, preserve_bold_tokens_tool, extract_highlights_tool, extract_comments_tool, list_profiles_tool.

Built-in profiles

generic, mdpi-ijerph, resna-2025, iop-double-anonymous, ieee, springer, elsevier, boost-2026.

Status

Standalone fork of scitex.msword. Only runtime dep is python-docx. The umbrella scitex.msword import path is preserved via a sys.modules-alias bridge. convert_docx_to_tex lazily imports scitex.tex, so it works only when the umbrella package is also installed.

Architecture

scitex_msword/
├── _load.py              ← `load_docx` — DOCX → JSON-like document
├── _save.py              ← `save_docx` — apply profile, write DOCX
├── _convert.py           ← `convert_docx_to_tex` (lazy scitex.tex import)
├── profiles/             ← built-in journal styles
│   ├── generic.py        ← default
│   ├── ieee.py
│   ├── mdpi_ijerph.py
│   ├── resna_2025.py
│   ├── springer.py
│   └── elsevier.py
├── helpers/              ← caption-image linking, heading normalization
└── _registry.py          ← `register_profile` for user styles

Demo

flowchart LR
    A[draft.docx] -->|load_docx| B[JSON-like doc]
    B -->|save_docx<br/>profile=ieee| C[submission.docx]
    B -->|convert_docx_to_tex| D[manuscript.tex]
import scitex_msword as sxm

doc = sxm.load_docx("draft.docx", profile="generic")
sxm.save_docx(doc, "submission.docx", profile="ieee")

Round-trips DOCX through a JSON-like intermediate, then re-renders with IEEE column widths, fonts, and heading numbering applied automatically.

Part of SciTeX

scitex-msword is part of SciTeX. Install via the umbrella with pip install scitex[msword] to use as scitex.msword (Python) or scitex msword ... (CLI).

Four Freedoms for Research

  1. The freedom to run your research anywhere — your machine, your terms.
  2. The freedom to study how every step works — from raw data to final manuscript.
  3. The freedom to redistribute your workflows, not just your papers.
  4. The freedom to modify any module and share improvements with the community.

AGPL-3.0 — because we believe research infrastructure deserves the same freedoms as the software it runs on.

License

AGPL-3.0-only (see LICENSE).


SciTeX

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

scitex_msword-0.2.0.tar.gz (52.9 kB view details)

Uploaded Source

Built Distribution

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

scitex_msword-0.2.0-py3-none-any.whl (58.1 kB view details)

Uploaded Python 3

File details

Details for the file scitex_msword-0.2.0.tar.gz.

File metadata

  • Download URL: scitex_msword-0.2.0.tar.gz
  • Upload date:
  • Size: 52.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for scitex_msword-0.2.0.tar.gz
Algorithm Hash digest
SHA256 00d58d84de749be24fffb444cc74b4aa672be8321bd263666b6b36030dc2f1f0
MD5 0b5074bee3377675d4e768b300dbcf0d
BLAKE2b-256 ec52efa88475199c26b768beedfbea78cc56908b3acc5e1094d735d9b5656941

See more details on using hashes here.

Provenance

The following attestation bundles were made for scitex_msword-0.2.0.tar.gz:

Publisher: pypi-publish-and-github-release-on-tag.yml on ywatanabe1989/scitex-msword

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file scitex_msword-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: scitex_msword-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 58.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for scitex_msword-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 cad84b050950f200df14943bb0f43d954309f24671fcc49b92316b4fa70e0b5f
MD5 3f743b5bb8512ca11662b1a5362e98b3
BLAKE2b-256 d3edfaad15f0f952cce2a40c9727eae3bc44cc4da9f58b63f9f3508a7a570c26

See more details on using hashes here.

Provenance

The following attestation bundles were made for scitex_msword-0.2.0-py3-none-any.whl:

Publisher: pypi-publish-and-github-release-on-tag.yml on ywatanabe1989/scitex-msword

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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