llamaindex
LlamaIndex provides LlamaParse — an enterprise-grade document processing platform — and LiteParse — an open-source local parser — that use VLM/LLM-powered agents to parse, extract, index, and automate workflows across complex documents for teams in finance, insurance, healthcare, manufacturing, and more.
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Quick Overview
Best for: AI Agents
What it does
AI Agents software for decision-makers comparing workflow fit and alternatives.
Best fit
AI Agents
Pricing snapshot
Free from Free (includes 10,000 free credits per month, ~1000 pages)
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llamaindex
LlamaIndex offers LlamaParse, an enterprise-focused document automation platform that uses VLM- and LLM-powered agents to parse, extract, index, and build end-to-end document agents. It targets complex, multi-format documents (PDFs, Office docs, images, handwritten notes, charts, tables) and emphasizes accuracy, configurability, and scalability for production workloads. In parallel, LiteParse is an open-source local parser from the same team for fast, offline document parsing without cloud or LLM token usage, distributed via npm and GitHub.
A framework for building knowledge assistants with LLMs connected to enterprise data.
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Claim this listing for $29Key Features
Agentic OCR / VLM-powered understanding
Agentic OCR that converts complex layouts into LLM-ready outputs using VLM-powered document understanding agents.
Schema-based LLM extraction
Structured extraction of defined schemas using LLM-powered extraction agents to turn unstructured content into structured insights.
Specialized expert agents
Task-specific agents break down content such as text, charts, tables, and more, routing it to the right expert.
Auto-correction loops
Recursive checks that detect and fix errors automatically to improve pass-through rates on messy scans and multi-modal documents.
Handwriting parsing
Capabilities to parse messy handwriting, extract structure, and make it usable for AI workflows.
Table extraction
Extract rows, columns, and relationships from dense or irregular table layouts.
Chart and graph parsing
Turn charts and graphs into structured data usable by downstream pipelines.
Document splitting and classification
Split documents into logical sections based on natural-language descriptions and automatically categorize documents using natural-language rules.
Enterprise-grade indexing and retrieval
Chunking and embedding pipeline built for precision and relevance in retrieval (RAG) and enterprise retrieval calls.
Open-source local parsing (LiteParse)
LiteParse provides fast local parsing of PDFs, Office docs, and images with bounding box outputs; available via npm and GitHub.
Enterprise reliability & deployment options
99.9% uptime infrastructure, granular access controls, enhanced data encryption, compliance (HIPAA, GDPR, SOC2), and options to run in LlamaIndex cloud or deploy fully in a VPC.
Pricing
Includes 10,000 free credits per month (approximately 1000 pages) with agentic OCR, schema-based extraction, and ability to build and deploy document agents.
Free
Free (includes 10,000 free credits per month, ~1000 pages)- 10,000 free credits per month (~1000 pages)
- Agentic OCR for layout-aware document parsing
- Structured extraction of defined schemas
- Build and deploy end-to-end document agents
Use Cases
Financial Due Diligence
Speed up compliance reviews and financial research by extracting structured data and automating manual review workflows.
Invoice Processing
Automate manual invoice review and extraction to accelerate accounts payable and related workflows.
Technical Document Search
Find answers in complex technical documentation by indexing and retrieving relevant document chunks with high precision.
Customer Support
Provide instant, accurate responses by enabling agents to read and act on customer-facing documents and knowledge bases.
Context for AI Agents
Enable LLMs to read complex documents with human-level precision to power agentic workflows and multi-step document agents.
Replace Legacy IDP
Modernize document processing without custom templates by using schema-based extraction and agent routing.
Integrations
LiteParse (npm / GitHub)
Open-source local parser available via npm (npm install @llamaindex/liteparse) and GitHub for offline parsing and bounding-box outputs.
Indexing & embedding pipeline
Enterprise-grade chunking and embedding pipeline designed for retrieval-augmented generation (RAG) workflows (internal indexing/embedding integration).
Benefits
Limitations
No verified limitations are available.
Frequently Asked Questions
No verified FAQs are available.
Getting Started
- 1 Step 1: Sign up for LlamaParse to receive the free plan (10,000 free credits per month).
- 2 Step 2: Try LlamaParse via the web site — Book a demo or Try for free to evaluate enterprise features.
- 3 Step 3: For local/open-source usage, install LiteParse (npm install @llamaindex/liteparse) or view the LiteParse GitHub repository.
Support
Docs
Documentation and resources available via the Docs and Resources sections on the website.
Sales / Demo
Book a demo or contact sales through the website for enterprise purchasing and SLAs.
Customer stories / Case studies
Customer stories and case studies (e.g., Jeppesen/Boeing example) available on the site to illustrate real-world deployments.
API
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