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GordonKit Document Converter

CI Python 3.12+ License: Apache-2.0 Development Status: Pre-Alpha

Documentation

GordonKit Document Converter is a Python 3.12+ orchestration library for diagnosable, multi-engine document conversion. It delegates rendering to Microsoft Word, LibreOffice, or optional Gotenberg; it does not implement a document layout engine.

Its primary purpose is file-format conversion. The Python library, command-line interface, and HTTP API are different ways to access the same conversion service.

Supported format conversions

Input DOCX PDF HTML Markdown ODT Images
DOCX × Auto ✓ ✓ LO PDF
PDF — × ✓ ✓ — ✓
HTML P P+ × — — —
Markdown P P+ — × — —
ODT LO LO — — × —

Auto policy-based engine selection · ✓ built in · LO LibreOffice · P Pandoc · P+ Pandoc with a PDF backend · PDF via an intermediate PDF · — not supported · × same format; not a conversion

Page-image output is available as PNG or JPEG. Markdown, HTML, and image files are output artifacts for DOCX/PDF sources; Markdown and HTML are also accepted as input for PDF/DOCX conversion. The project does not convert Markdown and HTML directly between each other.

DOCX-to-ODT, ODT-to-DOCX, and ODT-to-PDF conversion use LibreOffice; DOCX-to-PDF can use the selected Word, LibreOffice, or Gotenberg engine. ODT support targets ODF-CNS 15251 / ISO/IEC 26300 Writer documents. It validates package structure and content readability, but does not promise pixel-identical round trips.

HTML/Markdown conversion requires Pandoc; PDF output additionally requires a Pandoc PDF backend such as wkhtmltopdf. Create an editable, print-ready A4 starting point with gordon-doc template report.html, then convert it with gordon-doc convert report.html --to pdf or --to docx. Use --orientation landscape for an A4 horizontal layout.

Interfaces

Interface Intended use
Python library Embed typed conversion calls, batches, and engine diagnostics in Python applications
gordon-doc CLI Run local conversions from a terminal, script, or CI job
HTTP API Send authenticated conversion requests to a private service deployment
Container profiles Run the CLI or HTTP API with renderer dependencies in isolated images

Every interface enters through the same application service and preserves structured results, engine policy, and diagnostics. Choose the interface that matches where the conversion is initiated, then follow its quick start below.

Installation

Interface Installation
Python library python -m pip install gordon-doc-converter
gordon-doc CLI Included with gordon-doc-converter; verify with gordon-doc version
HTTP API python -m pip install "gordon-doc-converter[api]"
Container profiles Install Docker Engine or Docker Desktop with Compose v2; no local Python package is required

Rendering and output capabilities may require an optional extra: gordon-doc-converter[images], gordon-doc-converter[gotenberg], or gordon-doc-converter[word]. See the online documentation for engine and platform requirements.

Quick start

Python library

Use the library when conversion is part of a Python application:

from pathlib import Path

from gordon_doc_converter import ConversionRequest, convert

request = ConversionRequest.from_source(Path("example.docx"))
result = convert(request)
if not result.success:
    raise RuntimeError(result.error.message if result.error else "conversion failed")
print(result.artifacts[0].path)

convert() selects an engine according to the deployment policy, validates staged output, and publishes the PDF only after validation succeeds. Use DocumentConversionService for engine injection, convert_batch() for sequential failure-isolated batches, and probe_engines() for capability diagnostics.

CLI

Use the CLI for interactive use, shell scripts, and CI jobs:

gordon-doc convert example.docx --output example.pdf

Containers

Use a container when you do not want to install Python or LibreOffice on the host. The cli profile mounts the current directory at /work:

docker compose -f docker/compose.yaml --profile cli run --rm cli convert /work/example.docx --output /work/example.pdf

For a private HTTP service with LibreOffice in the same image, set an API key and start the standalone-lo profile:

GORDON_DOC_API_KEY=replace-me docker compose -f docker/compose.yaml \
    --profile standalone-lo up --build

Use gateway-gotenberg instead to run the API with a separate Gotenberg renderer. Container profiles, security notes, and smoke checks are documented in docker/README.md.

HTTP API

Once the API is running, submit the DOCX bytes with the original filename and bearer token:

curl --fail -H "Authorization: Bearer replace-me" \
    -H "Content-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document" \
    -H "X-Filename: example.docx" --data-binary @example.docx \
    http://localhost:8000/conversions --output example.pdf

Install .[images] for PDFium/Pillow rasterization, .[gotenberg] for the remote adapter, .[api] for FastAPI, or .[word] for Windows COM.

Command-line interface

gordon-doc doctor
gordon-doc engines --json
gordon-doc template report.html --orientation portrait
gordon-doc convert example.docx --output example.pdf
gordon-doc convert report.odt --to docx
gordon-doc convert example.docx --to odt --engine libreoffice
gordon-doc convert report.html --to pdf --orientation landscape
gordon-doc convert report.html --to docx
gordon-doc convert example.pdf --to images --dpi 144
gordon-doc convert example.docx --to markdown --to html
gordon-doc compare expected.pdf actual.pdf --diff-dir differences --json
gordon-doc batch one.docx two.docx --output-dir converted --json
gordon-doc version

Use --engine word-com, --engine libreoffice, or a configured --engine gotenberg for strict explicit selection. Conversion options also include --mode, --revisions, --comments, --timeout, --overwrite, image format/quality/page selection, and an optional --gotenberg-url. Page images use <stem>.pages/0001.png; semantic artifacts use .md, .html, shared .assets/, and an annotation sidecar when present. Every command supports --json for automation.

Stable exit codes are 0 for success, 2 for invalid input or an existing output, 3 for engine or capability unavailability, 4 for conversion failure, timeout, or missing output, and 5 for PDF validation failure.

Microsoft Word and LibreOffice can render the same document differently. The project will report the selected engine and fallback reason; it will never promise identical output or silently switch an explicitly selected engine.

Development setup

uv sync --dev
uv sync --dev --all-extras
uv run ruff format --check .
uv run ruff check .
uv run mypy src
uv run pytest
uv build

The real LibreOffice integration test is skipped when soffice is unavailable. Run it on a host with LibreOffice installed using uv run pytest -m integration tests/integration/libreoffice.

The Microsoft Word integration test requires Windows, licensed Microsoft Word, and the word optional dependency. Run it only in a controlled interactive environment using uv sync --dev --extra word --locked followed by uv run pytest -m integration tests/integration/word_com.

The static documentation is a React site built with Vite, Tailwind CSS, bundled Heroicons, and a bundled Swagger UI. Install the API and frontend dependencies before rebuilding docs/; the build exports the current FastAPI contract to openapi.json automatically:

uv sync --dev --extra api --locked
npm ci
npm run build

The generated site is self-contained under docs/ and uses relative links. It is published at docs.gordonkit.com. Its single documentation index supports English/Traditional Chinese navigation, search, responsive layouts, and a light/dark theme. The generated API contract is available at docs/openapi.json, and the read-only Swagger UI is available at docs/swagger/index.html. Run npm run openapi:check to detect a stale export.

Browse the documentation index for the technical reference, user guide, compatibility notes, and development standards. Use its language control for Traditional Chinese, or see README.zh-TW.md.

License

Apache License 2.0. See LICENSE, NOTICE, and THIRD_PARTY_NOTICES.txt.

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