LiteParse v2.14.6 Hits 2.8ms/Page, 1.5x Faster Than Nearest Local Parser
llama_index · x · 2026-09-23
LlamaIndex released LiteParse v2.14.6, making text-based PDF parsing 25% faster. On realistic documents it processes pages at 2.8ms/page — 1.5x faster than the next-fastest local parser. The open-source tool (12.4k GitHub stars) runs locally in Python, Node.js, Rust, or directly in the browser, offering high-quality spatial text parsing with bounding boxes without proprietary LLM features. A strong pick for local PDF-to-Markdown pipelines in RAG/agent workflows.
Related event: LiteParse Gets 25% Faster, Parses a PDF Page in 2.8ms(2 posts)→
More from coding & agent
- Jev API explodes at $0.042/M tokens: a hands-on checklist from desktop agents to drone control — blaizedsouza · 2026-09-23
- The prompt to run before wiring an agent to another service — gethackteam · 2026-09-23
- DeepSeek V4.1 Flash inside Codex harness impresses: steerable reasoning, promising results — Small_Ninja2344 · 2026-09-23
- Vercel CEO Backs px0, a Lightweight IDE Built for Reviewing Agent-Written Code — arpit_bhayani · 2026-09-23
- Full course: automating SEO and AEO with AI agents built on Opus 5.5 — eptwts · 2026-09-23
- Matt Pocock: Stop chasing model releases, improve your agent's harness instead — mattpocockuk · 2026-09-23