LiteParse: Fast Local Document Parsing Without the Cloud

Parse PDFs, Office files, and images — locally, with bounding boxes and OCR support.

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LiteParse is an open-source document parsing library from LlamaIndex that runs entirely on your machine, no cloud, no API keys, no LLMs required.

It is designed for use cases where you need fast, accurate text extraction: real-time applications, coding agents, and local developer workflows.

What is LiteParse?

Most document parsing tools either require a cloud API (LlamaParse, Azure Form Recognizer, etc.) or lack spatial awareness — they give you raw text but lose all layout information.

LiteParse is different. It gives you:

• Parsed text with spatial layout: text comes back positioned where it actually appears on the page
• Bounding boxes for every line, ready for visualization or downstream processing
• OCR support via built-in Tesseract.js, or plug in your own OCR server
• Multi-format support — PDF, DOCX, XLSX, PPTX, PNG, JPG, and more

Who is it for?

If you are building:

• A coding agent that reads local files
• A RAG pipeline where document layout matters
• A real-time app that cannot tolerate cloud latency
• A local-first workflow where privacy is a concern

LiteParse is a solid fit.

LiteParse vs LlamaParse

LlamaParse is the cloud-based, LLM-powered parser for complex documents. LiteParse is the local, fast, zero-dependency sibling, built for situations where speed, privacy, or offline use matters more than LLM-level intelligence.

Use LlamaParse when document complexity is high. Use LiteParse when speed and locality matter.

Check out the full docs here -> developers.llamaindex.ai/liteparse

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