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What is LlamaIndex?
LlamaIndex is an applied AI lab focused on documents: it builds LlamaParse, an agentic OCR platform that reads PDFs, spreadsheets, slide decks and images and turns them into text, Markdown or JSON that a language model can use without losing tables or charts. It started as the widely used open-source framework for building RAG applications and now offers both.
What is LlamaIndex used for?
It gives AI systems reliable context from messy documents such as financial filings, contracts, scanned invoices or technical manuals. LlamaParse handles 130+ file formats and 80+ languages, detects layout with bounding boxes and returns clean output for internal search, assistants and automated pipelines.
How does LlamaParse agentic OCR work?
Instead of relying on a single vision model, it splits each page and routes text, tables, charts or handwriting to specialized agents. It then runs auto-correction loops that check and fix the output, which helps with poor scans. Its own OCRia-1 model, with 4 billion parameters, targets dense tables and charts.
What else does it do besides parsing?
- Extract: pulls specific fields into a schema, with citations and confidence scores.
- Split and Classify: segments documents or sorts them with natural-language rules.
- Index: chunking and embedding pipeline for RAG.
- LiteParse: open-source local parsing with no cloud and no LLM tokens.
- Agent workflow builder that turns natural-language instructions into code.
Who uses LlamaIndex?
Developer and AI teams at banks, hedge funds, insurers, consultancies and other document-heavy companies, for financial due diligence, compliance reviews, claims processing, clinical research and technical documentation search.
LlamaIndex pros and cons
- Pro: strong handling of tables, charts and complex layouts.
- Pro: popular open-source framework plus a local option with LiteParse.
- Pro: SOC 2 Type II, GDPR and HIPAA compliance, with private VPC deployment.
- Con: built for developers, not a desktop app for end users.
- Con: usage depends on the parsing mode, so testing before scaling is advisable.
LlamaIndex features and use cases
How to use LlamaIndex
LlamaIndex FAQ
What is LlamaIndex?
It is a document AI lab that offers LlamaParse, an agentic OCR platform, and the open-source LlamaIndex framework for building RAG applications.
Is LlamaIndex free?
The LlamaIndex framework is open source. LlamaParse has a Free plan with 10,000 credits a month; paid plans start at 50 USD per month.
What is the difference between LlamaIndex and LlamaParse?
LlamaIndex is the open framework for building LLM apps; LlamaParse is the commercial service for document parsing, extraction and indexing.
Does LlamaIndex have an API?
Yes. Everything is available through the API, with Python and TypeScript SDKs plus a web app for testing documents.
Does it work with Spanish documents?
Yes. LlamaParse supports 80+ languages, including Spanish, although the interface and docs are in English.
Which file formats does it support?
More than 130, including PDF, Word, PowerPoint, Excel, CSV and PNG or JPG images, even with multi-page tables and handwritten notes.
Can it run without sending data to the cloud?
Yes, with LiteParse, its open-source local parser. Enterprises can also deploy LlamaParse in their own VPC.
Is it safe for sensitive data?
It is SOC 2 Type II, GDPR and HIPAA compliant, encrypts data and deletes cached files after 48 hours; caching can be turned off.
What are the best LlamaIndex alternatives?
On GptZone you can compare Airparser for document data extraction, LangChain as an LLM app framework and ChatPDF for chatting with PDFs.
LlamaIndex pricing and plans
Reference price: 50 USD / month. Source · Verified: November 3, 2026
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