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.

Does Claude actually read the timestamps in a Markdown transcript?

Yes — Claude treats [HH:MM:SS] markers as semantic anchors. Ask "what was discussed in the first 15 minutes" and Claude will scope its answer to entries with timestamps before 00:15:00 . Ask for a quote and Claude returns the timestamp alongside the speaker name.

How do I build a meeting knowledge base in Claude Projects?

Convert each recording to Markdown, name files by date and topic ( 2026-01-15-product-sync.md ), upload all of them into a single Claude Project's knowledge section. Claude treats every transcript as cited context in every Project conversation. After a few months you have a searchable institutional memory.

How does this compare to Otter.ai or Fireflies summaries?

Otter and Fireflies generate summaries inside their own apps, optimised for at-a-glance review. The converter produces structured Markdown you own, can drop into Claude (or any tool), and can re-analyse with custom prompts whenever the question changes. The two are complementary — convert for AI analysis, keep Otter for in-app browsing if you use it.

What if multiple speakers have the same name?

The diarisation pass labels speakers by voice signature, so two people with the same first name still get distinct labels. After conversion you can find-and-replace generic labels ( Speaker 2 ) with real names — Claude will then use the corrected names throughout the rest of the conversation.

Can Claude compare transcripts across multiple meetings?

That's the highest-leverage use of Projects with audio Markdown. Upload a series of weekly standups or quarterly reviews, then ask "how has the team's position on X evolved across these meetings?" — Claude cross-references timestamps and speakers across the whole document set. Impossible with PDF transcripts; trivial with structured Markdown.

Audio to Markdown for Claude — Speaker-Aware Projects

Why Claude rewards structured transcripts more than other models

Claude's Constitutional AI training rewards faithful citation. Give it a flat-text transcript and it will hedge ("someone in the meeting mentioned…") because it can't verify who said what. Give it a Markdown transcript with explicit speaker headings and it will quote directly and attribute precisely ("at 00:24:15, Marcus said…"). The behaviour change is visible from the first prompt.

On Sonnet 4.6 and Opus 4.7, the gap widens further on multi-hour transcripts: structured Markdown lets Claude maintain speaker continuity across the full document, while flat text loses attribution after roughly 30 minutes of conversation.

The Claude Projects workflow for recurring meetings

Convert each meeting recording once on Audio to Markdown, save the .md file with a date-prefixed name (2026-01-15-product-sync.md), and drop it into a Claude Project's knowledge base. Every conversation in that Project starts with the full meeting history available — ask "what has this team decided about pricing across all our meetings this quarter" and Claude can cross-reference dates, speakers, and decisions in one answer.

Pair with PDF and URL sources for a complete knowledge base: convert vendor PDFs (PDF to Markdown for Claude) and reference web pages (URL to Markdown for Claude) into the same Project.

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

Audio to Markdown for Claude — Structured Transcripts for Analysis

Why Claude rewards structured transcripts more than other models

The Claude Projects workflow for recurring meetings

Frequently asked questions

Stop feeding garbage
to your AI

Tools

Stop sending PDFs to your AI.

How does it work?

Frequently Asked Questions

Master any tool without watching a single YouTube video

Choose your plan

How credits work

Questions

Stop feeding garbageto your AI