Skip to main content

hammerdown

Tests PyPI GitHub Release Python Version Platform PRs Welcome

hammerdown logo

hammerdown is a cross-platform tool and Python library for converting PDF, Word, Excel, PowerPoint, OpenDocument, CSV, and plain-text documents into clean Markdown. Embedded images, SVG charts, and mathematical formulas are automatically extracted and formatted.

Table of Contents

Installation

If Python (3.10+) is installed on your system, install via pip:

pip install hammerdown

Or install from local source:

git clone https://github.com/sergeypugin/hammerdown.git
cd hammerdown
pip install .

Direct Download (Standalone binaries)

If you do not have Python installed, precompiled standalone binaries are available on the GitHub Releases page or you can download directly from the links below:

OS Download
Windows Windows x64
Linux Linux x64
macOS macOS x64 macOS ARM64

On Linux and macOS, make the downloaded binary executable before running:

chmod +x ./hammerdown-linux-x64
./hammerdown-linux-x64 --version

File Manager Context Menu Integration

You can integrate hammerdown directly into your OS file manager to convert documents with a single right-click, without opening a terminal:

hammerdown --install

What this does:

  • on Windows: adds a Hammer down file action with an icon to the File Explorer context menu for all supported document formats (no administrator privileges required)
  • on Linux: installs the executable into ~/.local/bin and adds a context script for GNOME Nautilus (Scripts -> Hammer down file)

To convert a file, right-click any supported document (.pdf, .docx, etc.) and select Hammer down file. The Markdown output and extracted images are saved directly next to the original document.

To remove file manager integration and clean up shortcuts:

hammerdown --uninstall

To update hammerdown to the latest version:

hammerdown --update

Usage

Command Line Interface

Convert one or multiple files:

hammerdown document.pdf
hammerdown report.docx workbook.xlsx slides.pptx

Options:

  • -i, --in-place -- save output Markdown and extracted images in the same directory as the source file
  • -w, --overwrite -- overwrite plain-text source files (.txt, .md, .log, .csv) in-place instead of creating a copy
  • -f, --force -- overwrite existing output Markdown files
  • -q, --quiet -- suppress routine status output
  • -v, --version -- display version information
hammerdown -i document.pdf
hammerdown -w notes.txt
hammerdown -f report.docx

Logging and Progress Tracking

When converting documents from the terminal, hammerdown displays an interactive real-time progress bar indicating the exact progress (e.g., page, slide, or sheet counts):

Processing document.pdf: [████████████░░░░░░░░] 60% (30/50 pages)
Completed document.pdf in 1.4s (3 images extracted)

In non-interactive environments (CI/CD pipelines, redirected log files, or non-TTY outputs), progress is logged as periodic status lines starting from 0% without terminal control characters:

[hammerdown] Processing document.pdf (50 pages, est. ~45s)...
[hammerdown] Processing document.pdf: 0/50 pages (0%)...
[hammerdown] Processing document.pdf: 1/50 pages (2%)...
...
[hammerdown] Processing document.pdf: 50/50 pages (100%)...
[hammerdown] Completed document.pdf in 1.4s (3 images extracted)

When using hammerdown as a Python library, custom progress callbacks can be passed to to_markdown() or convert_file():

def on_progress(current: int, total: int, unit: str):
    print(f"Processed {current}/{total} {unit}")

hammerdown.convert_file("document.pdf", progress_callback=on_progress)

Extracting Base64 Images from Markdown

If you have a Markdown file with embedded base64 images (such as data:image/png;base64,...), running hammerdown with --in-place will extract those raw image strings into PNG or JPEG files inside hammerdown_images_<stem>_<ext>/ and replace inline base64 data URIs with clean relative links:

hammerdown document.md --in-place

Python Library Quickstart

Use hammerdown directly in your Python code:

import hammerdown

# Convert a file on disk
hammerdown.convert_file("document.pdf", force=True)

# Get Markdown text in memory
text, image_count = hammerdown.to_markdown("report.docx")

For specialized format converters and low-level helpers, see docs/PYTHON.md.

Supported Formats

  • PDF and E-books: .pdf, .epub, .mobi, .fb2, .xps
  • Word and OpenDocument: .docx, .doc, .odt
  • Spreadsheets: .xlsx, .xls, .csv
  • Presentations: .pptx, .ppt
  • Text and Markdown: .txt, .md, .log

Output Directory Layout

Output Markdown files are saved using the template <stem>_<ext>.md to avoid conflicts when files of different formats share the same base name.

Before conversion:

folder/
└── document.pdf

After conversion:

folder/
├── document.pdf
├── document_pdf.md
└── hammerdown_images_document_pdf/
    └── img_p001_xref105.png

Math Formulas and Symbol Normalization

Equations inside Word and OpenDocument files are automatically translated into standard LaTeX syntax. Special math characters and Greek letters are mapped using a catalog aligned with official LaTeX references:

For additional guides and specifications:

Metadata

Release files for hammerdown 1.5.1

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

Source distribution (sdist)

Source distribution for hammerdown 1.5.1
File Size Uploaded Provenance
hammerdown-1.5.1.tar.gz 92.2 kB With provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for hammerdown 1.5.1
File Interpreter ABI Platform
hammerdown-1.5.1-py3-none-any.whl Python 3 none any Details

Total release size: 179.9 kB

Release files / hammerdown-1.5.1.tar.gz

Download URL hammerdown-1.5.1.tar.gz
Size 92.2 kB
Tags Source
SHA-256 checksum
How to use checksums
26905604cba92c00291f5d46372b377834d78101ab4427ddaa81f31ab6d1ab48
BLAKE2b-256 checksum
How to use checksums
e23e66a6ab4314759a87e7223f666faab22198fdb989ad985b5cb4db1666c5d3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 10, 2026.

Transparency log

Release files / hammerdown-1.5.1-py3-none-any.whl

Download URL hammerdown-1.5.1-py3-none-any.whl
Size 87.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
49b4ccc0a10762e21a1c53c08684abc80dca26e92af7d82eadbfa54fca0bca5d
BLAKE2b-256 checksum
How to use checksums
e2735fb0ff7bea4056ff134559ebe397b10e619bf107ea108f14d8a075c84dae
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 10, 2026.

Transparency log

Security for hammerdown 1.5.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for hammerdown-1.5.1.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 10, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page