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Markdown to PDF Converter

Paste Markdown, get a clean, paginated PDF — headings sized by level, bullet/numbered lists, blockquotes, code blocks with a light grey background, and optional table of contents. Runs entirely in your browser via pdf-lib.

Markdown to PDF

PDF generation uses the browser's print function. Use Ctrl+P / Cmd+P and select "Save as PDF".

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How to use Markdown to PDF

  1. Paste or type Markdown into the input.
  2. Optionally toggle table of contents and page numbers.
  3. Click Build PDF to download, or Print / Save via browser to preserve all formatting via the print dialog.

What is Markdown to PDF?

Useful for README archives, blog post exports, technical docs, or anything you'd publish as Markdown but need to share as PDF. The tool tokenizes Markdown into blocks (heading, paragraph, list item, code, blockquote, hr) and lays them out with proper page breaks. Inline formatting (bold, italic, links, inline code) is stripped to text — for full visual fidelity, use the Print / Save via browser button.

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FAQ

Are bold and italic preserved?
In the downloaded PDF, inline formatting is stripped to text. Use Print / Save via browser for fully-formatted output.
Is there a size limit on the Markdown I can paste?
There's no hard limit. Since everything runs in your browser, very large documents (100+ pages) may take longer to render, but you won't hit an arbitrary cutoff.
Can I include page numbers in the output PDF?
Yes. You can toggle automatic page numbering before converting. It adds page counts to the footer of every page in the generated PDF.

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Author

SC
Sarah Chen"The Data Whisperer"

Data Analyst & CSV Specialist

Sarah has spent more than a decade wrangling spreadsheets, debugging CSV exports, and teaching teams how to make data work for them. She previously led data-quality initiatives at a fintech unicorn, where she reduced reporting errors by 40 percent through automated validation pipelines. When she is not optimizing queries or writing about data tooling, you will find her mentoring junior analysts at local bootcamps and speaking at data literacy meetups.

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