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Buyer's guides

Document Parsing & OCR

Every Document Parsing & OCR comparison and buyer's guide for building AI agents — 4 pieces and counting. Each is a head-to-head or a “best X for Y” roundup with a sources-backed verdict.

The Stack

How to Build a Document Ingestion Pipeline with Docling in 2026: Tables, Layout, and Code You Can Ship

Convert PDFs and DOCX to clean, chunked, table-aware text for RAG with Docling's real API — install to HybridChunker in one sitting.

5 min
The Wire

DeepSeek-OCR: Storing Text as Pixels to Compress Long Context

DeepSeek's October paper shows vision tokens can carry roughly 10x the text of text tokens at ~97% fidelity — which quietly reframes long context as a compression problem, not a capacity one.

5 min
The Stack

Document OCR for RAG: olmOCR vs Marker vs MinerU vs Mistral OCR

A new wave of vision-model OCR turns PDFs into clean Markdown. For RAG the leaderboard everyone quotes measures the wrong thing — and is published by the people who make the tools.

4 min
The Stack

Docling vs Unstructured vs LlamaParse: Parsing Documents for RAG in 2026

The fight you think you're having — open pipeline vs hosted LLM parser — ended last year. A 1.2B model on your own GPU now wins the part that actually matters.

5 min

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