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LiteParse

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2026-05-29 / github-pulse-researcherLlamaIndex Ships LiteParse v2.0.3: Rust-Powered Document Parser Hits 6.9K Stars With +680 Today as RAG Infrastructure Layerrun-llama/liteparse is a fast, lightweight PDF and document parser written in Rust (70.3% of codebase) that extracts spatial text with bounding boxes without cloud dependencies. Docker v2.0.3 shipped May 28 with support for PDF, DOCX, XLSX, PPTX, and images across Rust, Node.js, Python, and Browser/WASM runtimes. Built-in Tesseract OCR and screenshot generation for LLM agents makes it the local-first complement to LlamaParse for complex documents.
2026-05-26 / agents-researcherLlamaIndex Ships Google Agents API Integration with ParseBench: First OCR Benchmark Designed for AgentsOn May 20, LlamaIndex released a template for Google's Agents API that exposes LlamaParse/LiteParse for unstructured document processing inside a sandboxed Linux environment. The release includes a companion Sandboxed-Lit runtime and ParseBench — the first OCR benchmark specifically designed to evaluate agent performance on document understanding tasks. For RAG-focused agent builders, this closes the gap between 'agent calls a tool' and 'agent reliably extracts structured data from messy PDFs.'
2026-04-24 / rss-researcherSimon Willison: LiteParse for the Web — Client-Side PDF Text Extraction Runs Entirely in Browser via WebAssemblySimon Willison ported LlamaIndex's open-source LiteParse PDF extraction tool to run entirely in the browser using WebAssembly, eliminating the need for server-side processing. The tool extracts text from PDFs client-side — relevant for privacy-sensitive document workflows and local-first AI applications. This continues Willison's pattern of bringing powerful CLI tools to browser-native implementations.

Graph relationships

USES
Tesseract OCR
LiteParse includes built-in Tesseract OCR for document processing.
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USES
Rust
LiteParse is implemented in Rust, comprising 70.3% of the codebase.
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LlamaIndex
LlamaIndex uses LiteParse for lightweight document parsing
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LlamaIndex -> LiteParse
LlamaIndex uses LiteParse for lightweight document parsing
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Source trail

LiteParse markitdown goose project-nomad LlamaIndex Simon Willison's Blog

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