LiteParse should be the default document parser you use with any AI agent (Claude Code, Claude Cowork, OpenClaw, Codex, and more) The core i…

LiteParse should be the default document parser you use with any AI agent (Claude Code, Claude Cowork, OpenClaw, Codex, and more) The core is extremely fast text and accurate parsing from any document type that's focused on semantic preservation. But there's so much more beyond that: native OCR support, bounding boxes, one-click agent skills, support for 50+ file formats. Plus way more cooking in the next few weeks 🧑‍🍳 @LoganMarkewich is the lead creator behind this, you don't want to miss his webinar: https://landing.llamaindex.ai/liteparse?utm_source=xjl&utm_medium=social Repo: https://github.com/run-llama/liteparse LiteParse hit 4K+ GitHub stars in 3 weeks. ~500 pages in 2 seconds. No GPU. No API keys. 50+ file formats. Now @LoganMarkewich, our Head of Open Source, will show you how to build with it. Live workshop — April 28, 9 AM PST: Build a Financial Due Diligence Agent with LiteParse. R…

LiteParse, our OSS document parser, is really good at parsing complex PDF layouts, text, and tables into a clean spatial grid. The best part…
LiteParse is the best document parsing library for coding agents. It's free, fast, integrates natively with the LLM's native visual understa…
LiteParse is the best model-free, open-source document parser for AI agents. It now gets a first-class landing page on our website 💫 Our co…
ParseBench is here!📊 We’ve just released ParseBench, an open benchmark + dataset for evaluating document parsing at scale. It includes: • 2…
Let's talk parsing tables. Two days ago we launched ParseBench,the first document OCR benchmark built for AI agents. This deep dive breaks d…
We comprehensively benchmarked Opus 4.7 on document understanding. We evaluated it through ParseBench - our comprehensive OCR benchmark for …

Source: Jerry Liu (X) | 2026-04-16

Related