PdfItDown

Convert Everything to PDF

PdfItDown is a python package that relies on markitdown by Microsoft, markdown_pdf and img2pdf.

Applicability

PdfItDown is applicable to the following file formats:

• Markdown
• PowerPoint
• Word
• Excel
• HTML
• Text-based formats (CSV, XML, JSON)
• ZIP files (iterates over contents)
• Image files (PNG, JPG)

How does it work?

PdfItDown works in a very simple way:

• From markdown to PDF

Loading

graph LR
2(Input File) --> 3[Markdown content] 
3[Markdown content] --> 4[markdown-pdf]
4[markdown-pdf] --> 5(PDF file)

• From image to PDF

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graph LR
2(Input File) --> 3[Bytes] 
3[Bytes] --> 4[img2pdf]
4[img2pdf] --> 5(PDF file)

• From other text-based file formats to PDF

Loading

graph LR
2(Input File) -->  3[markitdown]
3[markitdown] -->  4[Markdown content]
4[Markdown content] --> 5[markdown-pdf]
5[markdown-pdf] --> 6(PDF file)

Installation and Usage

To install PdfItDown, just run:

python3 -m pip install pdfitdown

You can now use the command line tool:

usage: pdfitdown [-h] -i INPUTFILE -o OUTPUTFILE [-t TITLE]

options:
  -h, --help            show this help message and exit
  -i INPUTFILE, --inputfile INPUTFILE
                        Path to the input file that needs to be converted to PDF
  -o OUTPUTFILE, --outputfile OUTPUTFILE
                        Path to the output PDF file
  -t TITLE, --title TITLE
                        Title to include in the PDF metadata. Default: 'PDF Title'

An example usage can be:

pdfitdown -i README.md -o README.pdf -t "README"

Or you can use it inside your python scripts:

from pdfitdown.pdfconversion import Converter

converter = Converter()
converter.convert(file_path = "business_grow.md", output_path = "business_growth.pdf", title="Business Growth for Q3 in 2024")
converter.convert(file_path = "logo.png", output_path = "logo.pdf")
converter.convert(file_path = "users.csv", output_path = "users.pdf")

Or you can just launch a Gradio-based user interface:

pdfitdown_ui

You will be able to see the application running on http://localhost:7860 within seconds!

Watch the demo here:

Contributing

Contributions are always welcome!

Find contribution guidelines at CONTRIBUTING.md

License and Funding

This project is open-source and is provided under an MIT License.

If you found it useful, please consider funding it.