Guides, comparisons, and tips to get the most out of Markdown for AI workflows.
Turn your PDF library into an Obsidian vault: convert, organize, link, and unlock graph view, wikilinks, and Zettelkasten workflows.
TechnicalThree chunking strategies for RAG pipelines: header-based, token-based, paragraph-based. When each wins, with code examples and evaluation metrics.
TutorialThe complete RAG pipeline for PDF documents: convert to Markdown, chunk by headers, embed, retrieve, synthesize. With Python code for LangChain and LlamaIndex.
IndustryConvert listing contracts, disclosure forms, inspection reports, and HOA documents from PDF to Markdown for searchable archives and AI-assisted review.
IndustryTurn textbook chapters and lecture PDFs into searchable study notes, Anki flashcards, and AI-explainable content. The complete student workflow for 2026.
IndustryMigrate decade-old PDF user manuals and API references to a docs-as-code workflow. Convert, lint, drop into MkDocs/Docusaurus, version with Git.
Adjacent topicsPlain text vs Markdown for converting PDFs — what each preserves, what each loses, and how to pick based on what you'll do with the output.
TutorialConvert math-heavy PDFs to Markdown with equations as proper LaTeX. MathJax-ready output for Obsidian, GitHub, MkDocs, and Jupyter notebooks.
ProblemReal measurements on 10 production documents: where tokens go, how much you save with Markdown conversion, and what that translates to in dollars.
TechnicalMethodology and results from a 20-document benchmark measuring token usage on raw PDF vs Markdown for ChatGPT, Claude, and Gemini. With cost implications.
ProblemUpload a PDF to ChatGPT and the answers come back vague or wrong. The cause is technical — and the fix takes 30 seconds. Real numbers and a concrete workflow.
ProblemInside a PDF: what AI actually receives, why it costs so much, and where the 95% number comes from. Real measurements on 10 production documents.
TutorialConvert PDF, Word, audio and web pages into Markdown before sending to an LLM. Practical tips with real token savings calculations.
ComparisonWe tested MDisBetter, Marker, Pandoc, pdf2md, Adobe, Docling, and LlamaParse. Here's how they stack up on accuracy, speed, and price.
ComparisonToken benchmarks across 5 document types show Markdown uses 60-95% fewer tokens than PDF. See the real cost difference for ChatGPT and Claude.
GuideStep-by-step guide to convert any PDF into clean, structured Markdown. Reduce AI token usage by up to 95% and save on API costs.