News Article to Markdown — Extract Content, Skip the Noise
News sites are the worst offenders for page chrome. A typical article page has the body buried under: a sticky header that hides the headline, a video player that autoplays, two sidebar ad columns, a soft paywall overlay, and "more from this author" cards interleaved with paragraphs. Our converter throws all of that away and gives you the article as it would have appeared in a print edition.
News-specific extraction challenges
News articles share the blog-post extraction baseline but add their own complications. First, multi-paragraph ads injected mid-article ("Story continues below") that look like content to a naïve extractor. Second, image galleries that fragment the prose into one-paragraph slides. Third, "live blog" formats where the chronology is reversed. Fourth, soft paywalls — the paragraphs are present in the HTML but visually hidden by an overlay, which our extractor reveals (because the paragraphs are public HTML; we're not bypassing anything).
Byline, dateline, and source attribution
News conventions matter for citation. We extract the byline (author or wire service), the dateline (location and date), and the publication name from page metadata, and emit them in YAML front matter. Quotes within the article keep their attribution structure. The result is Markdown you can drop into a citation manager or feed to an LLM that needs to attribute sources correctly.
Before / After
Before (PDF):
[News article HTML]
<header class="sticky">… nav, search, login …</header>
<div class="paywall-overlay">Subscribe to read</div>
<article>
<h1>Central Bank Holds Rates Steady</h1>
<p class="byline">By Reuters · LONDON, May 9, 2026</p>
<p>The central bank kept its benchmark …</p>
<div class="ad-slot">[VIDEO AD]</div>
<p>Officials cited inflation easing …</p>
</article>
After (Markdown):
---
title: "Central Bank Holds Rates Steady"
byline: "Reuters"
dateline: "LONDON, May 9, 2026"
---
# Central Bank Holds Rates Steady
The central bank kept its benchmark …
Officials cited inflation easing …
Frequently asked questions
Can this extract articles from sites with soft paywalls?
Yes — when the article body is in the HTML (just visually hidden by an overlay), we extract it. We do not break hard paywalls that gate content server-side; if the article isn't in the HTML you receive, no scraper can recover it. The distinction matters legally and technically.
Are bylines and publication dates preserved?
Yes — extracted from schema.org/NewsArticle structured data when available, falling back to visible byline parsing. Both go into YAML front matter, and the published date is normalised to ISO 8601 for downstream sorting.
How are mid-article video and ad blocks handled?
Video players, ad iframes, and "Story continues below" injection blocks are detected by their wrapper classes and stripped. The surrounding paragraphs are stitched back together so the prose flows continuously, the way it reads in a print edition.
Does this work for live-blog and breaking-news pages?
Live blogs are detected by their characteristic structure (timestamped entries, reverse-chronological ordering). We emit each entry as a Markdown section with its timestamp as the heading, and reverse the order to read oldest-first if requested via parameter.
Can I extract from non-English news sites (Le Monde, Spiegel, NHK)?
Yes — extraction is content-agnostic. The Readability-style algorithm works on any language; structured metadata (Open Graph, JSON-LD) is a language-neutral standard. CJK and right-to-left scripts (Arabic, Hebrew) are preserved correctly in the Markdown output.
Your AI doesn't read PDFs directly. It first has to extract the text, decode the layout, ignore the metadata — before it can even start answering. A Markdown file removes all of those steps. Your AI reads it instantly. So you get faster responses, more accurate results, and zero information lost along the way.
Size-wise, it's 100 to 500 times lighter for the same content. A 15 MB PDF becomes a 30 KB .md file. So your AI knowledge base can hold hundreds of documents instead of a handful.
MDisBetter brings 19 free tools together for that — documents, videos, audio, web pages and prompts.
How does it work?
Drop a PDF, a video, an audio file or a URL. MDisBetter extracts the content and gives you a clean Markdown file. So you can send it to your AI, add it to your project files, or store it in your knowledge base — without losing anything.
Frequently Asked Questions
How do I convert a PDF to Markdown for free?
Upload your PDF to MDisBetter, click Convert, and get structured Markdown in seconds. No signup, no installation — it works directly in your browser. The free plan includes 50 credits per month.
Why is Markdown better than PDF for AI?
Markdown reduces token usage by up to 95% compared to PDF. AI models like ChatGPT and Claude process Markdown far more efficiently because it contains only content structure — no fonts, no layout data, no binary overhead.
What file types can MDisBetter convert?
MDisBetter converts PDF, Word (.docx), plain text, YouTube videos (transcript), audio files (MP3, WAV, M4A, OGG, FLAC, WEBM), and any web page URL to clean Markdown.
Is MDisBetter free?
Yes, free to start. The free plan includes 50 credits per month. All processing happens securely — your files are never stored.
Can I extract a YouTube transcript as Markdown?
Yes. Paste the YouTube video URL, click Convert, and get the full transcript structured as Markdown with headings and timestamps. Perfect for feeding video content to AI tools.
PDF → Markdown
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