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LlamaIndex
LlamaIndex offers LlamaParse and LiteParse for AI-powered document parsing, OCR, and workflow automation.
LlamaIndex
AI document parsing and OCR for workflows
What is LlamaIndex?
LlamaIndex provides document parsing and OCR tools for turning PDFs, Office files, images, and other unstructured documents into structured, LLM-ready data. Its products support extraction, classification, splitting, indexing, and document-agent workflows, including a local open-source option called LiteParse.
How to use LlamaIndex?
- 1Get started with the cloud product or review the open-source LiteParse option
- 2Upload documents such as PDFs, Office files, images, or scans
- 3Choose parsing, extraction, classification, or indexing settings as needed
- 4Run OCR and structured extraction to convert content into clean outputs
- 5Integrate the results into AI workflows, retrieval systems, or document agents
LlamaIndex Key Features
- Agentic OCR for layout-aware document parsing
- Structured extraction with defined schemas
- Support for handwritten text, tables, charts, and complex layouts
- Document splitting, classification, indexing, and retrieval
- Open-source local parsing with LiteParse
- Bounding box output for document structure
- Enterprise security, uptime, and deployment options
LlamaIndex Use Cases
- Invoice and document processing automation
- RAG and retrieval pipelines for enterprise documents
- Extracting data from forms, reports, and scans
- Reading handwritten notes and irregular layouts
- Building multi-step document agents
- Replacing legacy IDP workflows
LlamaIndex Pricing & Free Credits
LlamaIndex currently operates on a Free, Freemium, Custom Pricing model.
LlamaIndex Pros & Cons
Pros
- Strong support for complex layouts, tables, charts, and handwritten text
- Offers both cloud and local open-source parsing options
- Built for structured extraction and AI workflow integration
- Enterprise-focused features like security, uptime, and deployment flexibility
Cons
- Pricing beyond the free plan is not fully listed publicly
- Best results may require setup and configuration for specific workflows
- Primarily focused on document parsing rather than general-purpose AI
What is LlamaIndex best for?
- Teams building document AI and RAG pipelines
- Enterprises automating OCR and data extraction
- Developers needing structured outputs from unstructured files
- Organizations modernizing document processing workflows