Document to Markdown
Guides, tutorials, and real-world workflows for composable document and image processing.
Messy Enterprise Data Is Not a Blocker Anymore
Enterprise data does not need to be perfectly cleaned before AI can use it. Store the mess, design the workflow, and route uncertainty.
Turn Research PDFs into Decision Briefs with an AI Agent
Build an agent workflow that converts research PDFs into structured evidence, reviewable claims, and decision-ready briefs.
Long Documents Fail Differently Than Large Batches
A 300-page file and 300 one-page files are different engineering problems. Design context, retries, review, and cost controls accordingly.
Forms, Tables, and Free Text Need Different Extraction Strategies
Mixed documents break when every page is treated the same. Use fields for forms, arrays for tables, and Markdown for narrative context.
Automating Content Operations for Professional Services Teams
How professional services teams can automate content operations across documents, forms, emails, spreadsheets, review steps, and generated outputs.
How to Evaluate Document Extraction APIs
A practical evaluation framework for document extraction APIs: test sets, schemas, confidence, citations, validation, workflow fit, and cost.
The Hidden Failure Modes of PDF Processing
PDF processing breaks in ways demos hide: scans, malformed files, layout traps, partial failures, and downstream assumptions.
RAG from Public Documentation Websites: Robots.txt, Terms, Retention, and Attribution
Public docs are tempting RAG sources. Before you ingest them, review robots.txt, terms, source attribution, retention, and update strategy.
Document-to-Markdown for RAG: Preparing Documents for Your AI Knowledge Base
Why markdown is the ideal format for LLM ingestion, how to preserve tables and layouts from PDFs, and how to build a document ingestion pipeline for RAG.
Convert Any Document to Clean Markdown in n8n
PDF, DOCX, HTML, images — convert them all to structured Markdown inside an n8n workflow. One node, no OCR chain, no LLM parsing.
Read Any Document From Claude Code or Cursor — PDF, DOCX, Scans, Images via MCP
Use MCP to convert PDFs, scanned documents, Word files, and images to readable markdown directly from Claude Code or Cursor without custom preprocessing code.