documint2md

Convert PDF, DOCX, CSV, and image files to Markdown from the command line or from Python.

documint2md installs the doc2md CLI and the doc2md Python package. It is designed for scripts, agents, and documentation pipelines that need predictable Markdown output and clear machine-readable status.

Install

python -m pip install documint2md

Optional extras:

python -m pip install "documint2md[markdown]"       # GFM Markdown formatting
python -m pip install "documint2md[pymupdf4llm]"    # alternate PDF Markdown engine
python -m pip install "documint2md[universal-lite]" # MarkItDown for extra formats
python -m pip install "documint2md[docling]"        # Docling structured conversion
python -m pip install "documint2md[ocr]"            # image and scanned-PDF OCR
python -m pip install "documint2md[all]"            # all published optional features

Python 3.11 or newer is required.

Command Line

Convert one file and write <input stem>.md beside it:

doc2md report.pdf
doc2md notes.docx
doc2md table.csv
doc2md scan.png

Choose an output path:

doc2md report.pdf -o report.md

Write Markdown to stdout:

doc2md report.pdf -o -

Preview without writing a file:

doc2md report.pdf --preview

Run several inputs non-interactively:

doc2md docs/*.pdf --yes

Open the interactive picker:

doc2md

Add selectable OCR text while keeping a scanned PDF's visible pages:

doc2md doctor ocr-pdf
doc2md ocr-pdf scan.pdf
doc2md ocr-pdf incoming/ -o searchable/ --yes

This feature uses a separately installed OCRmyPDF 15.2+ executable and Tesseract language data; it is not part of the PaddleOCR Python extra. The source is never overwritten, and the default result is scan.searchable.pdf using English and Spanish (eng+spa).

Agent and Automation Usage

Use --json when another program needs a structured result. Diagnostics still go to stderr, and stdout stays reserved for JSON in this mode.

doc2md report.pdf --json
doc2md report.pdf --dry-run --json

Useful automation flags:

doc2md report.pdf --quiet
doc2md report.pdf --debug
doc2md report.pdf --stats
doc2md doctor engines --json
doc2md doctor ocr-pdf --json

Exit codes:

• 0: success
• 2: usage or argument error
• 3: unsupported format
• 4: conversion failed
• 5: output write failed

Output behavior:

• By default, report.pdf writes report.md in the same directory.
• -o <file> writes UTF-8 Markdown with \n newlines.
• -o - writes Markdown to stdout.
• Errors and diagnostics go to stderr.

Formats and Engines

Default conversions:

• PDF: text extraction with pdfminer.six
• DOCX: Mammoth HTML to Markdown
• CSV: Pandas to Markdown table
• Images: OCR when the ocr extra is installed

Force a format:

doc2md input.bin --format pdf
doc2md input.bin --format docx
doc2md input.bin --format csv
doc2md input.bin --format image

Use optional engines:

doc2md report.pdf --engine pymupdf4llm
doc2md slides.pptx --format any --engine markitdown
doc2md document.docx --format any --engine docling

Check installed optional engines:

doc2md doctor engines
doc2md doctor engines --json

Markdown Formatting

Every CLI conversion can post-process Markdown:

doc2md table.csv --md-style normalize
doc2md table.csv --md-style gfm
doc2md table.csv --md-style none

• normalize is the default. It normalizes newlines, strips trailing whitespace, caps blank lines, and ends non-empty output with one trailing newline.
• gfm formats GitHub Flavored Markdown and requires documint2md[markdown].
• none leaves converter output unchanged after conversion.

OCR

Install OCR support:

python -m pip install "documint2md[ocr]"

Convert an image:

doc2md scan.png --ocr-lang en

Use OCR for scanned or low-text PDFs:

doc2md scan.pdf --ocr-mode auto --ocr-lang en
doc2md scan.pdf --ocr-mode always --ocr-layout heuristic --md-style gfm

Common OCR options:

doc2md scan.pdf --ocr-device cpu
doc2md scan.pdf --ocr-device gpu:0
doc2md scan.pdf --ocr-render-scale 2.0
doc2md scan.pdf --ocr-min-score 0.5
doc2md scan.pdf --ocr-debug-json debug.json
doc2md scan.png --ocr-debug-image debug.png

The first OCR run may download model files for the OCR backend. Subsequent runs are normally faster.

Python API

from doc2md import (
    any_to_markdown,
    csv_to_markdown,
    docx_to_markdown,
    image_to_markdown,
    pdf_to_markdown,
)

markdown = pdf_to_markdown("report.pdf")

Each public converter accepts str or PathLike input and returns str.

from doc2md import ConversionError, UnsupportedFormatError, pdf_to_markdown

try:
    markdown = pdf_to_markdown("report.pdf")
except UnsupportedFormatError as exc:
    print(f"Unsupported input: {exc}")
except ConversionError as exc:
    print(f"Conversion failed: {exc}")

Profiles

Store reusable defaults in doc2md.toml:

[profiles.fast_pdf]
format = "pdf"
engine = "pdfminer"
md_style = "normalize"

[profiles.ocr_pdf]
format = "pdf"
ocr_mode = "auto"
ocr_lang = "en"
ocr_layout = "heuristic"
md_style = "gfm"

Run with a profile:

doc2md report.pdf --profile fast_pdf
doc2md scan.pdf --profile ocr_pdf

Notes for Reliable Automation

• Pin the package version in production, for example documint2md==2.1.0.
• Use --json for structured status and -o - only when stdout should contain Markdown.
• Use --yes for batch conversions in non-interactive jobs.
• Use --md-style normalize or --md-style gfm when exact Markdown formatting matters.
• Run doc2md doctor engines --json in setup checks to confirm optional engines are installed.

Links

• PyPI project: https://pypi.org/project/documint2md/
• Source repository: https://github.com/myucordero/documint2md