How do I convert a PDF to Markdown for free?

Upload your PDF to mdisbetter.com, click Convert, and get clean structured Markdown in seconds. No signup, no installation — it works directly in your browser.

Why is Markdown better than PDF for AI?

Markdown reduces token usage by up to 95% compared to PDF when feeding documents to AI models like ChatGPT or Claude. PDF contains layout metadata, fonts, and binary data that waste tokens. Markdown preserves only the content structure that AI actually needs.

What file types can MDisBetter convert to Markdown?

MDisBetter converts PDF, Word (.docx), plain text, YouTube videos (transcript extraction), audio files (MP3, WAV, M4A, OGG, FLAC, WEBM), and any web page URL to clean Markdown.

Is MDisBetter free to use?

Yes, MDisBetter is completely free. You get 10 conversions per day with no signup required. All tools work directly in your browser.

How do I extract a YouTube transcript as Markdown?

Paste the YouTube video URL into the YouTube to Markdown tool on mdisbetter.com and click Convert. The tool extracts the transcript and structures it as clean, formatted Markdown with headings and timestamps.

How do I structure Jekyll frontmatter from a Word document?

Minimal frontmatter is enough: layout , title , date , optionally categories and tags . Add it manually after conversion or write a small script that extracts the H1 as title and uses the .docx mtime as date. Jekyll respects the frontmatter on the next build.

What about images embedded in the Word source?

Save the original images into assets/images/post-slug/ and update the Markdown references. Jekyll serves them as static assets; permalinks stay clean ( /2026/05/10/post-slug/ ) and the images load fast. For posts with many images, batch-extract from the .docx (Word lets you save the document as web HTML which extracts images into a folder).

Can I republish years of newsletter back-issues this way?

Yes — the canonical use case. Convert each back-issue Word document, save with the original publication date in the filename ( _posts/2024-08-12-newsletter-vol-47.md ), commit. Jekyll dates the post to the original publication date; archive pages and RSS show them in chronological order; readers can navigate the full back-catalogue.

Web tool or Pandoc for the migration?

Web tool for a few key articles you care about — upload, convert, download, edit, publish. Pandoc locally for archive-scale migration of hundreds of back-issues — for f in *.docx; do pandoc "$f" -o "_posts/$(date +%Y-%m-%d)-${f%.docx}.md"; done in a shell. Same Markdown output; different cadences.

Will GitHub Pages render the converted posts cleanly?

Yes — Jekyll on GitHub Pages handles standard Markdown perfectly. Headings, lists, tables, code blocks, emphasis all render with the theme's default styling. For extra control (callouts, warnings, custom blocks), use Jekyll's Liquid templating to inject HTML around specific Markdown sections.

Word to Markdown for Jekyll — _posts/ Migration

Why Jekyll + converted Word articles works

Jekyll's _posts/ convention is the lowest-friction publishing pipeline ever built: file goes in, post comes out, no CMS, no database, no admin UI. Word documents converted to Markdown slot into the convention naturally — _posts/2026-05-10-product-launch-thoughts.md with a few lines of YAML frontmatter is a complete published post.

Jekyll handles permalinks, RSS, archive pages, tags, and categories from frontmatter automatically. Themes (Minima, Hyde, jekyll-theme-clean-blog) provide the visual treatment. GitHub Pages hosts Jekyll sites for free with zero configuration. The total stack from Word document to published article is a 5-step path.

The post-publication workflow

Convert the article on Word to Markdown. Save into _posts/YYYY-MM-DD-slug.md. Add minimal frontmatter:

---
layout: post
title: "Your Article Title"
date: 2026-05-10
categories: [analysis, product]
---

Commit, push. GitHub Pages rebuilds and deploys within a minute. The article is live with proper permalink, RSS entry, and archive page inclusion.

Multi-source publishing patterns

Pair with PDF for Jekyll for legacy whitepaper republishing, URL for Jekyll for syndicated content, Audio for Jekyll for podcast episode pages with searchable transcripts, Video for Jekyll for video-to-article workflows.

Tool	Cost	Unit
Text to MD, EPUB to MD, MD to PDF, MD Cleaner, Merger, Chunker, Token Counter, Context Builder	Free	—
Word to MD	0.5 credit	per page
Excel to MD	0.5 credit	per conversion
Single URL Scrape	0.5 credit	per call
Site Crawl	1 credit	per page
Translate	1 credit	per 10 000 chars (min 1, free re-translation on cache hit)
Prompt Optimizer	1 credit	per call
System Prompt Generator	1 credit	per call
Audio to MD	2 credits	per minute
Video to MD	2 credits	per minute
YouTube to MD	2 credits	per minute
Image OCR	4 credits	per image (0 on cache hit)
PDF to MD	4 credits	per page
PPTX to MD	4 credits	per slide

Word to Markdown for Jekyll — Word Articles to Blog Posts

Why Jekyll + converted Word articles works

The post-publication workflow

Multi-source publishing patterns

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