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The secret to LiteParse lies in the grid projection algorithm. We project a complex page layout with text and tables into well-structured te…
The secret to LiteParse lies in the grid projection algorithm. We project a complex page layout with text and tables into well-structured text, that humans can read and agents can understanding. This
The secret to LiteParse lies in the grid projection algorithm. We project a complex page layout with text and tables into well-structured text, that humans can read and agents can understanding. This contains of a few core steps (no LLMs!): 1. Grouping text fragments to lines 2. Identify left,center,right anchors 3. Snap each text item to an anchor 4. Handle flowing paragraphs separately 5. Render each text item in a carefully tuned order so that each piece of text aligns to a grid column 6. Post-processing For more details check out this great blog post we wrote a month ago! https://www.llamaindex.ai/blog/how-liteparse-turns-pdfs-into-text-a-deep-dive-into-the-grid-projection-algorithm We've created the world's fastest PDF parser ⚡️ And it's more accurate than any other open-source, model-free PDF parser out there (pymupdf, pypdf, markitdown, pdftotext, opendataloader, pymupdf4llm) Introducing LiteParse v2 - we rewrote the entire library into Rust and adapted i…
Source: Jerry Liu (X) | 2026-05-30