Best Python libraries for creating and editing Word files

Requested by a visitor · October 26, 2026

We asked 10 models: The best Python libraries for creating and editing Word documents. Each named its own top 10.

Asked 4 ways: List request · Buyer asking for advice · Search query · Worth paying for?. Share of voice pools every wording.

Agreement between models: 62%
Same model, run twice: 67%
Different picks: 28

When agreement between models is well below a model's agreement with itself, the split reflects real differences in taste rather than randomness.

The consensus

We asked 10 models: The best Python libraries for creating and editing Word documents. Each named its own top 10.

Each cell is the position that model gave the pick; blank means it left the pick off. Click a row for each model's reasoning.

#	Pick	Listed by	Claude Haiku 5.5	GPT-6 Luna	Gemini 4 Argon	Qwen 3.8 Flash	DeepSeek V4.1 Flash	GLM-5.3	Kimi K3	MiniMax M3	Mistral Large 4	Nemotron 3.5 Super VL
1	python-docx	10/10	1	1	1	1	1	1	1	1	1	1
Claude Haiku 5.5 (#1) The standard library for creating and editing .docx files; mature and widely used. GPT-6 Luna (#1) Best general-purpose choice for creating and editing .docx files with a clean, approachable API. Gemini 4 Argon (#1) The de facto standard for creating and modifying Word documents in Python. Qwen 3.8 Flash (#1) De facto standard; broadest API for creating and editing Word documents. DeepSeek V4.1 Flash (#1) The de facto standard for reading and writing .docx files; broad, reliable, well documented. GLM-5.3 (#1) The de facto standard for creating and editing .docx files. Kimi K3 (#1) The standard library for creating and editing Word documents in Python. MiniMax M3 (#1) De facto standard, actively maintained, and extremely reliable for .docx files. Mistral Large 4 (#1) Official, stable, and perfect for basic Word document creation and editing. Nemotron 3.5 Super VL (#1) Standard library for reading, writing, and editing .docx files in Python
2	DocxTemplate	10/10	2	2	5	2	2	2	4	2	4	3
Claude Haiku 5.5 (#2) Jinja2-based templating on top of python-docx; ideal for generating documents from templates. GPT-6 Luna (#2) Excellent for generating polished documents from Word templates and Jinja-style placeholders. Qwen 3.8 Flash (#2) Jinja2 templating on top of python-docx; ideal for generating reports. DeepSeek V4.1 Flash (#2) Jinja2 templating on top of python-docx; best for report and contract generation. GLM-5.3 (#2) Jinja2 templating on python-docx; ideal for document generation pipelines. MiniMax M3 (#2) Jinja2 templating for Word documents, very flexible and popular. Nemotron 3.5 Super VL (#3) Template-based docx generation using Jinja2 syntax Gemini 4 Argon (#5) Uses Jinja2 templates directly inside Word documents for effortless automated report generation.
3	Aspose.Words	10/10	8	3	2	4	4	5	2	3	2	9
Gemini 4 Argon (#2) Enterprise-grade commercial library with unmatched formatting fidelity and conversion capabilities. Kimi K3 (#2) Powerful commercial option with extensive formatting and conversion features. Mistral Large 4 (#2) Enterprise-grade with advanced formatting, conversion, and rendering support. GPT-6 Luna (#3) Feature-rich commercial option for complex editing, conversion, rendering, and document automation. MiniMax M3 (#3) Commercial library with excellent fidelity for complex Word documents. Qwen 3.8 Flash (#4) Enterprise-grade rendering, conversion, and document manipulation. DeepSeek V4.1 Flash (#4) Commercial, near-complete Word object model; handles rendering and complex layouts. GLM-5.3 (#5) Commercial library with rich, polished conversion and editing features. Claude Haiku 5.5 (#8) Commercial library with extensive feature coverage; strong but costly. Nemotron 3.5 Super VL (#9) Commercial-grade docx creation and manipulation
4	Spire.Doc	7/10		5	4	3	7	10	3	7
Qwen 3.8 Flash (#3) Rich feature set including conversion, forms, and mail merge. Kimi K3 (#3) Full-featured library supporting complex Word operations and conversions. Gemini 4 Argon (#4) Feature-rich commercial alternative capable of complex document manipulation without Microsoft Office. GPT-6 Luna (#5) Strong commercial toolkit for manipulating, converting, and rendering Word documents. DeepSeek V4.1 Flash (#7) Commercial library with solid conversion and editing, generous free tier. MiniMax M3 (#7) Solid freemium alternative for creating and converting Word documents.
5	Mammoth	5/10	4	7	9		3					4
DeepSeek V4.1 Flash (#3) Converts .docx to clean HTML or Markdown; ideal for publishing workflows. Claude Haiku 5.5 (#4) Converts .docx to clean HTML or Markdown; excellent for extracting content. Nemotron 3.5 Super VL (#4) Converts Word docs to clean HTML GPT-6 Luna (#7) A dependable choice for converting Word documents to clean HTML. Gemini 4 Argon (#9) Excels at converting Word documents into clean, semantic HTML without inline styles.
6	python-docx-template	6/10	3	10	6			4	7	8
Claude Haiku 5.5 (#3) Alternative name-level template tool, but overlaps heavily with docxtpl. GLM-5.3 (#4) Same engine as docxtpl under alternate naming; templating workhorse. Kimi K3 (#7) Ideal for generating documents from templates with Jinja2 syntax. MiniMax M3 (#8) Powerful Mail-Merge style templating on top of python-docx. GPT-6 Luna (#10) Template-oriented document generation with support for dynamic content and conditional sections.
7	docxcompose	6/10	10	4	8	6	6		5
GPT-6 Luna (#4) Useful for reliably assembling and appending multiple .docx documents. Kimi K3 (#5) Excellent for merging multiple Word documents while preserving formatting. DeepSeek V4.1 Flash (#6) Merges and appends .docx documents with style handling; complements python-docx. Gemini 4 Argon (#8) Solves the difficult problem of merging and concatenating multiple Word documents cleanly. Claude Haiku 5.5 (#10) Merges and composes multiple Word documents while preserving formatting.
8	PyWin32	4/10			3	5		8	9
Gemini 4 Argon (#3) Automates the actual Microsoft Word application on Windows for complete feature access. Qwen 3.8 Flash (#5) Full COM control of Word via win32com for precise editing. GLM-5.3 (#8) Windows COM automation for full Word control; powerful but platform-bound. Kimi K3 (#9) Enables automation of Microsoft Word via COM on Windows systems.
9	docx2pdf	5/10	5				8	9	10	4
MiniMax M3 (#4) Convenient wrapper to convert Word documents to PDF on macOS/Windows. Claude Haiku 5.5 (#5) Converts Word documents to PDF via Microsoft Word; useful for rendering checks. GLM-5.3 (#9) Simple, reliable docx-to-PDF conversion using Word or LibreOffice. Kimi K3 (#10) Simple and reliable for converting Word documents to PDF format.
10	pypandoc	4/10	7		7		10					2
Nemotron 3.5 Super VL (#2) Converts between docx and other markup formats Claude Haiku 5.5 (#7) Python wrapper for Pandoc; powerful conversion between Word and many formats. Gemini 4 Argon (#7) The best wrapper for converting between Word documents and formats like Markdown.
11	docx2python	4/10		6	10		5					5
DeepSeek V4.1 Flash (#5) Strong extraction of text, tables, and structure from .docx for analysis pipelines. GPT-6 Luna (#6) Convenient for extracting text, tables, images, and other document contents. Gemini 4 Argon (#10) Extracts structured content, tables, and images much faster than standard editing libraries.
12	Pandoc	5/10	6			9	9	6		9
GLM-5.3 (#6) Converts Markdown/HTML to docx via universal document converter. Qwen 3.8 Flash (#9) Best converter to and from .docx across many formats. DeepSeek V4.1 Flash (#9) Universal document converter; unbeatable for format interchange, scriptable from Python.
13	Docx-mailmerge	4/10		8		8		3		10
GLM-5.3 (#3) Template-based mail merge using Word merge fields; solid for reports. GPT-6 Luna (#8) Focused library for filling Word mail-merge templates with structured data. Qwen 3.8 Flash (#8) Lightweight, dependable field-based mail merge tool. MiniMax M3 (#10) Dedicated library for performing mail merges with Word templates.
14	docx	2/10								6	3
Mistral Large 4 (#3) Clean API for reading and writing .docx files with good documentation. MiniMax M3 (#6) Simple pure-Python library for basic docx creation and editing.
15	docx2txt	3/10		9						5		6
MiniMax M3 (#5) Excellent lightweight extractor for reading docx content and metadata. Nemotron 3.5 Super VL (#6) Lightweight text extraction from Word documents

13 lower-scoring picks are not shown; every ballot below lists them in full.

Most divisive

Picks most models listed, at very different positions

pypandoc#2 for Nemotron 3.5 Super VL #10 for DeepSeek V4.1 Flash
Aspose.Words#2 for Gemini 4 Argon #9 for Nemotron 3.5 Super VL
Spire.Doc#3 for Qwen 3.8 Flash #10 for GLM-5.3

Hot takes

Picks that appear on only one ballot

Mako at #5, only Mistral Large 4
GroupDocs.Words at #6, only Kimi K3
ReportLab at #6, only Mistral Large 4
doc2docx at #7, only Qwen 3.8 Flash
Jinja2 at #7, only Mistral Large 4
python-docx-replace at #8, only Kimi K3
docx-merge at #8, only Nemotron 3.5 Super VL
docx4j at #9, only Claude Haiku 5.5
PyDocX at #9, only Mistral Large 4
OfficeParser.PDF at #10, only Qwen 3.8 Flash
Genshi at #10, only Nemotron 3.5 Super VL

Every ballot

Hover a pick to find it on the other ballots. Marked picks appear on no other ballot.

Claude Haiku 5.5

python-docx
DocxTemplate
python-docx-template
Mammoth
docx2pdf
Pandoc
pypandoc
Aspose.Words
docx4j
docxcompose

74% with consensus · 66% self-consistent · knowledge cutoff June 2026

GPT-6 Luna

python-docx
DocxTemplate
Aspose.Words
docxcompose
Spire.Doc
docx2python
Mammoth
Docx-mailmerge
docx2txt
python-docx-template

85% with consensus · 90% self-consistent · knowledge cutoff May 18, 2026

Gemini 4 Argon

python-docx
Aspose.Words
PyWin32
Spire.Doc
DocxTemplate
python-docx-template
pypandoc
docxcompose
Mammoth
docx2python

78% with consensus · 70% self-consistent · knowledge cutoff March 2026

Qwen 3.8 Flash

python-docx
DocxTemplate
Spire.Doc
Aspose.Words
PyWin32
docxcompose
doc2docx
Docx-mailmerge
Pandoc
OfficeParser.PDF

82% with consensus · 84% self-consistent · knowledge cutoff not published

DeepSeek V4.1 Flash

python-docx
DocxTemplate
Mammoth
Aspose.Words
docx2python
docxcompose
Spire.Doc
docx2pdf
Pandoc
pypandoc

82% with consensus · 72% self-consistent · knowledge cutoff not published

GLM-5.3

python-docx
DocxTemplate
Docx-mailmerge
python-docx-template
Aspose.Words
Pandoc
PyMuPDF
PyWin32
docx2pdf
Spire.Doc

73% with consensus · 72% self-consistent · knowledge cutoff not published

Kimi K3

python-docx
Aspose.Words
Spire.Doc
DocxTemplate
docxcompose
GroupDocs.Words
python-docx-template
python-docx-replace
PyWin32
docx2pdf

78% with consensus · 57% self-consistent · knowledge cutoff not published

MiniMax M3

python-docx
DocxTemplate
Aspose.Words
docx2pdf
docx2txt
docx
Spire.Doc
python-docx-template
Pandoc
Docx-mailmerge

78% with consensus · 52% self-consistent · knowledge cutoff not published

Mistral Large 4

python-docx
Aspose.Words
docx
DocxTemplate
Mako
ReportLab
Jinja2
PyMuPDF
PyDocX
python-pptx

60% with consensus · 44% self-consistent · knowledge cutoff not published

Nemotron 3.5 Super VL

python-docx
pypandoc
DocxTemplate
Mammoth
docx2python
docx2txt
python-pptx
docx-merge
Aspose.Words
Genshi

59% with consensus · 62% self-consistent · knowledge cutoff not published

Who agrees with whom

Overlap between two models' lists, weighted toward the top · 100 means identical · Color runs from 47 (lightest) to 83 (darkest)

	Claude Haiku 5.5	GPT-6 Luna	Gemini 4 Argon	Qwen 3.8 Flash	DeepSeek V4.1 Flash	GLM-5.3	Kimi K3	MiniMax M3	Mistral Large 4	Nemotron 3.5 Super VL
Claude Haiku 5.5		64	56	61	74	75	53	70	48	65
GPT-6 Luna	64		69	81	83	67	74	77	60	61
Gemini 4 Argon	56	69		72	61	58	81	63	64	50
Qwen 3.8 Flash	61	81	72		76	70	76	72	56	51
DeepSeek V4.1 Flash	74	83	61	76		67	65	74	56	69
GLM-5.3	75	67	58	70	67		59	70	55	51
Kimi K3	53	74	81	76	65	59		66	67	47
MiniMax M3	70	77	63	72	74	70	66		65	56
Mistral Large 4	48	60	64	56	56	55	67	65		48
Nemotron 3.5 Super VL	65	61	50	51	69	51	47	56	48