LiteParse

LlamaIndex just dropped LiteParse, and it tackles one of those boring problems that actually matters. Getting decent text out of PDFs for RAG systems is still surprisingly awful in 2026.

Most developers end up with expensive API calls or clunky Python dependencies when they just want to extract text that preserves layout and structure. LiteParse runs locally as a CLI tool or TypeScript library, which means no external API costs and proper spatial understanding of document layout.

We tested it on some typical enterprise PDFs with tables and multi-column layouts. The extraction quality beats basic text scrapers, and being able to run it in Node.js workflows without Python bridges is genuinely useful.

It’s open source and designed specifically for AI agent pipelines rather than general document processing. If you’re building RAG systems that need to handle real-world PDFs, this could save you some pain.