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LlamaIndex

LlamaIndex

Framework for LLM apps and agents over your data

FreeAI AgentsFrameworkOpen Source4 impressions

LlamaParse is the world's best agentic OCR for processing complex documents with messy tables, charts, images, and more with human-level accuracy.

LlamaParse converts complex documents into structured, AI-ready data with agentic OCR and extraction.

for
Developers building AI agents and RAG pipelines that need accurate document parsing.
pricing
freemium
license
MIT
run-llama/llama_index 52k 8.3kPythonupdated 4 days ago
works withMicrosoft Azure Marketplace

Key features

6 features of LlamaIndex
  • Agentic OCR — Layout-aware parsing of tables, charts, images and handwriting with high accuracy.
  • Schema-based Extraction — Turn unstructured content into structured JSON using LLM-powered agents without training.
  • Document Splitting & Classification — Automatically segment and categorize documents using natural-language rules.
  • Enterprise Indexing — Chunking and embedding pipeline for precise retrieval in RAG applications.
  • LiteParse Local Engine — Open-source, fast, on-device parsing of PDFs, Office files and images with no cloud limits.
  • Security & Compliance — SOC 2, GDPR, HIPAA compliance with encryption, VPC deployment and granular access controls.

Use cases

  • Extract tables and charts from financial reports for automated analysis
  • Process handwritten medical notes into structured patient records
  • Build multi-step document agents that route content to specialized AI workflows
  • Modernize legacy IDP pipelines with schema-driven extraction
  • Generate RAG-ready knowledge bases from large collections of PDFs

LlamaIndex vs alternatives

LlamaIndexCrewAI
Best forAgentic OCR for complex docsMulti-agent AI systems
PricingFreemiumSubscription
DevHunt upvotes00
Launched——
  • LlamaIndex vs CrewAI: CrewAI focuses on multi-agent orchestration, whereas LlamaParse specializes in document parsing and extraction.

LlamaIndex FAQ

Is LlamaParse open source?+

No, LlamaParse is a commercial platform, but the team also offers open-source projects like LlamaIndex and Workflows.

How many credits does a page cost to parse?+

Basic parsing can be as low as 1 credit per page; more advanced agentic parsing uses more credits.

Can LlamaParse be deployed on-premises?+

Yes, it can run in private VPCs on AWS or Azure, ensuring data never leaves your tenant.

What compliance certifications does LlamaParse have?+

It is certified for SOC 2 Type II, GDPR, and HIPAA.

What does the free plan include?+

The free tier provides 10 000 credits per month (≈1 000 pages), agentic OCR, schema extraction and up to 5 concurrent parse jobs.

Summarized by DevHunt from llamaindex.ai · Oct 1, 2026. Details may change; check the official site.

About this listing

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