LlamaIndex
FreeA data framework for building LLM applications over external data.
FreeFree tier
About LlamaIndex
LlamaIndex provides a comprehensive data framework for building LLM applications over external data, with a focus on advanced document processing and AI agents. It includes LlamaParse for agentic OCR and document understanding, enabling developers to parse, extract, index, and retrieve information from complex multi-modal documents. The platform supports 130+ file formats, auto-correction loops, and specialized agents for tables, charts, and handwriting. With over 25M monthly package downloads and 300k+ LlamaParse users, LlamaIndex is trusted by enterprises in finance, insurance, manufacturing, and healthcare for automating knowledge work.
Key Features
Agentic OCR for layout-aware document parsing
Structured extraction of defined schemas using LLMs
Auto-correction loops for error detection and fixing
Handwritten text recognition and extraction
Table and chart extraction from dense layouts
Support for 130+ file formats including PDF, Office, images
LiteParse: open-source local document parsing
Enterprise-grade security with 99.9% uptime
Natural language to code workflows builder for agents
Pre-built starter templates for common document workflows
Pros & Cons
Pros
- Handles complex document layouts with high accuracy
- Supports over 130 file formats out-of-the-box
- VLM-powered agentic parsing provides human-level precision
- Open-source LlamaIndex framework is free and widely adopted
- Generous free tier with 10,000 credits per month
- Auto-correction loops reduce errors in messy scans
- Enterprise-grade security, compliance (SOC2, HIPAA, GDPR)
- Large community with 20k+ members and 1.5k+ contributors
Cons
- LlamaParse is a commercial product, not fully open-source
- Advanced features like agentic parsing and extractions require paid plans
- Credit-based pricing can become expensive for high-volume usage
- Free tier limits concurrent jobs to 5 and 100 users
- Full functionality depends on cloud API (except LiteParse)
Best For
Provide context for AI agents to read complex documentsReplace legacy IDP systems with modern document intelligenceBuild multi-step document agents that automate knowledge workFinancial research, due diligence, and invoice processingInsurance underwriting, audits, and claim processingManufacturing spec extraction, manual analysis, and inspection reportsHealthcare medical records, handwritten doctor notes, and claims
FAQ
Is LlamaParse Open Source?
LlamaParse is our commercial platform designed to automate document workflows, including agentic document parsing, extraction and indexing. It provides a generous provision of 10k free credits a month to all new users, but is not open source. Our open source projects, LlamaIndex and Workflows, provide AI builders with the foundational building blocks for creating AI apps.
How many credits does it cost to parse or extract one page?
It depends on the modes or options selected. Basic Parsing can be as low as 1 credit, while layout-aware agentic parsing with LLMs or VLMs has a higher credit cost for greater accuracy.