Blog

Guides, comparisons, and updates on PDF-to-markdown conversion.

Choosing a parser? Start with the comparison guide, then work through typed elements versus complete Markdownor a controlled RAG evaluation.

·tutorial

Python Invoice OCR: Extract PDF Invoices to Markdown and CSV

Convert and validate invoice content before extracting fields. A conversion result is not an approved bill, and a syntactically valid JSON extraction is not verified accounting data.

·rag

How to Build a RAG Pipeline with PDF Documents

A useful PDF retrieval pipeline keeps conversion, chunking, indexing and answering as separate steps. Test each boundary before automating a large corpus.

·python

Extract Tables from PDFs in Python as Markdown

Parse validated GFM output locally into CSV, while rejecting complex HTML tables instead of flattening them.

·guides

Markdown for LLMs: Format PDFs for Better RAG Retrieval

Useful Markdown keeps headings, lists and table relationships visible. Cleaner syntax can help a pipeline preserve context, but retrieval and answer quality still need measurement.

·rag

The Hidden Cost of Bad PDF Parsing in RAG Systems

A wrong answer can originate in conversion, chunking, retrieval or generation. Inspect the source PDF and retrieved passages to find which boundary lost the needed information.

·ocr

PaddleOCR vs Tesseract for PDF OCR

Historical PaddleOCR and Tesseract evidence, with the current API and benchmark limits clearly separated.

·comparison

PDF Parsing in 2026: Tesseract vs PyMuPDF vs Vision Models

Compare current documented OCR, Markdown and table-processing options without unsupported rankings.

·guides

PDF Structure: Why Text Extraction Is Hard

A PDF can describe glyph positions and page graphics without providing the logical reading order your application needs. Some PDFs also contain tags, form fields and other structure; inspect the actual file instead of assuming all PDFs lack semantics.

·comparison

pdfToMarkdown vs LlamaParse for RAG: A Deeper Comparison

Evaluate LlamaParse and pdfToMarkdown for RAG with fixed documents, chunking and queries; check retrieved evidence, citations and duplicate ingestion.

·ocr

Document AI Without Fine-Tuning: How Vision-Language Models Changed OCR

How visual layout cues support document conversion, with historical provider evidence and current limits distinguished.

·comparison

Unstructured Alternative for RAG: When to Swap partition_pdf for an API

Choose between Unstructured typed elements, local or hosted processing, and a complete Markdown API response using a matched PDF example.

·comparison

pdfToMarkdown vs LlamaParse: PDF Parsing for LLM Pipelines

Compare LlamaParse output and API integration with a synchronous PDF-to-Markdown endpoint, without assuming a required LlamaIndex stack.

·comparison

pdfToMarkdown vs Mathpix: Which PDF API Should You Use?

Compare Mathpix MMD and plain Markdown conversion with pdfToMarkdown output, then evaluate equations, tables and downstream cleanup.

·guides

Why Convert PDFs to Markdown for LLMs, RAG, and Search

Markdown provides readable headings, lists and tables for search, review and LLM workflows. Native PDF support varies by tool; conversion is useful when you need OCR or a reusable textual artifact.