LlamaParse
LlamaIndex's document processing platform that parses PDFs, scans and Office files into markdown or JSON and extracts, classifies and indexes them for agents.
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About LlamaParse
LlamaParse is listed in our memory & RAG category and is aimed at builders. LlamaIndex's document processing platform that parses PDFs, scans and Office files into markdown or JSON and extracts, classifies and indexes them for agents. Pricing, as the maker states it: Free $0/mo (10K credits); Starter; Pro $500/mo; Enterprise custom. Maturity: Active. We last checked the official link on 2026-10-18.
LlamaParse at a glance
- Category: Memory & RAG
- Built for: Developers and teams building with AI agents
- Pricing: Free $0/mo (10K credits); Starter; Pro $500/mo; Enterprise custom (as the maker states it)
- Official site: developers.llamaindex.ai/llamaparse
- Listed on AgentScout: Oct 18, 2026
LlamaParse FAQ
What is LlamaParse?
LlamaIndex's document processing platform that parses PDFs, scans and Office files into markdown or JSON and extracts, classifies and indexes them for agents.
How much does LlamaParse cost?
LlamaParse's pricing, as the maker states it: Free $0/mo (10K credits); Starter; Pro $500/mo; Enterprise custom. Check the official site for current plans.
What are alternatives to LlamaParse?
Similar tools include MarkItDown, Extend MCP, Knowhere, Headroom, xerj and MemMachine.
Facts from our link-checked listing and the official site. See something wrong? Suggest an edit.
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LlamaParse alternatives
Other memory & RAG tools in our directory. See all memory & RAG tools →
MarkItDown
Microsoft's Python tool and MCP server that converts PDFs, Office documents, images, audio and web pages to Markdown for LLM and agent pipelines.
Extend MCP
Extend's MCP server for turning documents into structured data: parse, extract, classify, split and fill PDF forms.
Knowhere
Document parsing and retrieval system that turns messy files into structured, navigable memory for AI agents and RAG.
Headroom
Library, proxy and MCP server that compresses tool outputs, logs, files and RAG chunks locally before they reach the LLM, cutting tokens for coding agents.
xerj
A local-first search engine and MCP server for agents: one Rust binary indexes code, docs, logs, CSV/JSONL and PDFs for full-text, vector and hybrid search plus agent memory, behind an Elasticsearch-compatible API.
MemMachine
Universal memory layer for AI agents.
Related lists
🏆 See also: MarkItDown alternatives · All best-of lists
🧭 Task guides: RAG and document tools for agent memory
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