What is LlamaIndex?
LlamaIndex is a platform that helps you turn messy documents into structured, AI-ready context. Its main tool, LlamaParse, uses agentic OCR to understand complex layouts, including tables, charts, images, and handwritten notes. It claims to be 4x cheaper and 5x more accurate than other APIs, and it processes over 1 billion documents for 300,000+ users.
You start by signing up for a free plan that gives you 10,000 credits per month, roughly 1,000 pages. You upload your documents, and LlamaParse's agents break down the content, routing text, charts, and tables to specialized experts. It runs auto-correction loops to catch and fix errors, so you get clean, structured output you can feed into your AI pipelines.
This suits developers and teams building document-heavy AI applications, especially in finance, insurance, manufacturing, and healthcare. The platform offers enterprise features like 99.9% uptime, HIPAA/GDPR/SOC2 compliance, and flexible deployment in your own VPC. There's also an open-source tool called LiteParse for local, fast parsing without cloud or LLM tokens.
LlamaIndex features
- Agentic OCR: Parses complex layouts with semantic understanding, turning them into clean LLM-ready outputs.
- Specialized experts: Routes content like text, charts, and tables to task-specific agents for accurate extraction.
- Auto-correction loops: Recursively checks and fixes errors, handling messy scans and multi-modal documents.
- Handwritten text support: Extracts structure from messy handwriting, making it usable for AI workflows.
- Enterprise security: Offers granular access controls, encryption, and HIPAA, GDPR, and SOC2 compliance.
What you can do with LlamaIndex
- Parse financial reports and invoices for automated processing and due diligence.
- Extract data from medical records and handwritten doctor notes for clinical workflows.
- Turn charts and graphs in manuals into structured data for manufacturing insights.
- Build multi-step document agents that automate knowledge work end-to-end.
How to get started with LlamaIndex
- Sign up for a free LlamaParse account to get 10,000 monthly credits.
- Upload your complex documents, like PDFs or scans with tables and handwriting.
- Use the parsed, structured output in your AI pipelines or build document agents.
Tips for better results with LlamaIndex
- Start with the free 10,000 credits per month to test LlamaParse on your messiest documents, like handwritten notes or dense tables, before committing to a paid plan.
- Use LlamaParse's specialized agents for charts and tables separately from text to improve extraction accuracy, then merge the structured outputs into your AI pipeline.
- Enable auto-correction loops in LlamaParse for scanned or low-quality files, as recursive error fixing boosts pass-through rates on complex layouts.
- Try LiteParse locally for fast, no-cost parsing of simple PDFs or Office docs, and reserve LlamaParse for documents needing agentic OCR or handwritten support.
- Structure your uploads with clear schemas when using LlamaParse's extraction features, so the agents can route content to the right experts and return consistent fields.
LlamaIndex pricing
LlamaIndex has a free way to start, with paid plans for heavier use. Check llamaindex.ai for current limits and prices.
What to check before you rely on LlamaIndex
- Verify your monthly credit usage against the 10,000 free credits, since exceeding it may incur costs not listed on the pricing page.
- Confirm whether the free plan includes all features like handwritten text and charts, as the website only highlights agentic OCR and structured extraction.
- Check if your data requires HIPAA, GDPR, or SOC2 compliance, and ensure your chosen plan offers these, since they are only mentioned for enterprise.
- Review export formats and integration options for LlamaParse outputs, as the site does not specify supported file types beyond parsing capabilities.
Who LlamaIndex is for
LlamaIndex suits developers, data scientists, enterprise teams and AI engineers. If that is not you, the AI developer platforms below may fit better.
Similar tools compared with LlamaIndex
| Tool | What it is | Pricing |
|---|---|---|
| LlamaIndex | Document parsing and extraction platform | Freemium |
| SiVideoAPI | Unified API for top AI video models | Freemium |
| OpenSI | AI model comparison and pricing tool | See website |
| OpenRouter | Unified API for many AI models | Freemium |
| Ollama | Run open models locally or cloud | Freemium |
LlamaIndex FAQ
What does LlamaParse do?
LlamaParse is an agentic OCR tool that turns complex documents—like those with messy tables, charts, images, and handwriting—into clean, structured data. It uses specialized agents and auto-correction loops to ensure accuracy, making the output ready for AI workflows.
Is LlamaIndex free to use?
Yes, there's a free plan that includes 10,000 credits per month, which is about 1,000 pages. This covers agentic OCR and structured extraction. For more usage or enterprise features, you'd need to book a demo or check their pricing page.
Who is LlamaIndex for?
It's for developers and teams building AI applications that need to process documents. It's used in finance, insurance, manufacturing, and healthcare, where complex documents like reports, claims, and medical records need to be turned into structured data for AI.
Can I run it locally?
Yes, there's an open-source tool called LiteParse from the same team. It parses PDFs, Office docs, and images locally, without needing cloud or LLM tokens. It's fast and supports all major formats, with bounding box output.
What file types can LlamaIndex parse?
LlamaIndex parses over 50 unstructured file types, including PDFs, Office documents, and images. It handles embedded images, complex layouts, multi-page tables, and handwritten notes. For a complete list, check the documentation on the LlamaIndex website.
Does LlamaIndex offer a free plan and what does it include?
Yes, LlamaIndex has a free plan that gives you 10,000 credits per month, roughly 1,000 pages. It includes agentic OCR for layout-aware parsing, structured extraction of defined schemas, and the ability to build and deploy end-to-end document agents. You can try it for free.
Can I use LlamaIndex on my local machine?
Yes, LlamaIndex offers an open-source tool called LiteParse for local, fast parsing without cloud or LLM tokens. It supports PDFs, Office docs, and images, and provides bounding box output. You can install it via npm and run it entirely on your own hardware.
