LlamaParse is LlamaIndex's hosted document parser that turns PDFs, scans, tables and charts into clean text, markdown or JSON for LLM apps.
In plain words
Many documents are hard for software to read: multi-column pages, merged table cells, charts saved as images, scanned pages. LlamaParse, which LlamaIndex's docs now simply call Parse, uses generative models to read the whole layout at once, then returns clean output you can feed to a model or a RAG pipeline. It handles more than 130 file types. It is a cloud service: you send it documents through LlamaIndex's API, SDKs or web interface.
A quick example
Imagine a team building a chatbot over company annual reports. They send the PDFs to LlamaParse, get back markdown with the tables intact, and index that text for retrieval instead of the messy raw PDF text.
Where you'll meet it
- Preparing complex documents for RAG.
- Extracting fields from invoices, forms and filings.
Related
Sources
- DocsOverview of Parse, LlamaIndex developer docs · read 9 Oct 2026
- DocsLlama Cloud Python SDK, LlamaIndex (GitHub) · read 9 Oct 2026
Checked by WhatIsAI against the sources above · 9 Oct 2026. Spotted an error? Report it.