@jerryjliu0: Our core mission today is using AI to solve document OCR. All of our product offerings, from commercial (LlamaParse) to…

Our core mission today is using AI to solve document OCR. All of our product offerings, from commercial (LlamaParse) to open-source (LiteParse, ParseBench), are fully aligned towards solving this problem. Introducing our revamped website https://llamaindex.ai/?utm_medium=socials&utm_source=xjl&utm_campaign=2026-apr-… --- # LlamaIndex | AI Agents for Document OCR + Workflows Source: [https://www.llamaindex.ai/?utm_medium=socials&utm_source=xjl&utm_campaign=2026-apr-](https://www.llamaindex.ai/?utm_medium=socials&utm_source=xjl&utm_campaign=2026-apr-) LlamaParse turns hours of manual document processing into seconds of automation, with VLM\-powered document understanding agents\. - [Get started](https://cloud.llamaindex.ai/) - [Book a Demo](https://www.llamaindex.ai/contact) ## Get started with LlamaParse for free **Our free plan includes:** - 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 - [Try LlamaParse](https://cloud.llamaindex.ai/)  // Agentic Understanding  Complex layouts turned into clean, LLM\-ready outputs through semantic understanding\. Specialized experts  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, delivering high pass\-through rates even on messy scans and multi\-modal documents\.  Handwritten Text Parse messy handwriting, extract structure, and make it usable for AI workflows\.   Tables Extract rows, columns, and relationships — even from dense or irregular layouts\.   Charts Turn charts and graphs into structured data your pipelines can use\.  - 1B\+ Documents processed - 25M\+ package downloads a month - 300k\+ LlamaParse users  01 LlamaParse LlamaParse powers enterprise\-grade document automation with industry\-best parsing, extraction, indexing, and retrieval — optimized for accuracy, configurability, and scalability\. - [Learn more](https://www.llamaindex.ai/llamacloud) - [Book a demo](https://www.llamaindex.ai/contact) ### Parse Industry\-leading document parsing for 50\+ unstructured file types — including support for embedded images, complex layouts, multi\-page tables, and even handwritten notes\. ### Extract Turn unstructured content into structured insights using schema\-based, LLM\-powered extraction agents — no training required ### Split Segment a document into logical sections based on natural\-language descriptions\. ### Classify Automatically categorize documents using natural\-language rules\. ### Index Enterprise\-grade chunking and embedding pipeline\. Built to deliver precision and relevance in every retrieval call for best\-in\-class RAG\. npm install @llamaindex/liteparse  02 LiteParse **Parse Any Document\. Locally\. Fast\.** Open\-source document parsing from the team behind LlamaParse\. Parsed text from PDFs, Office docs, and images — no cloud, no LLM tokens, no limits\. - [View on GitHub](https://github.com/run-llama/liteparse) - [Learn more](https://www.llamaindex.ai/liteparse) ###  Fully open\-source ###  Fast local processing ###  All major formats ###  Bounding box output  Context for AI Agents  Enable LLMs to read complex documents with human\-level precision\. [Book a demo](https://www.llamaindex.ai/contact)  Replace legacy IDP  Modernize document processing without custom templates\. [Book a demo](https://www.llamaindex.ai/contact)  Multi\-step document agents  Build durable agents that automate knowledge work\. [Book a demo](https://www.llamaindex.ai/contact)  Finance From financial research and due diligence to automated invoice processing, leading banks, hedge funds, and fintechs are transforming workflows with AI\. [Explore finance](https://www.llamaindex.ai/industry/finance)  Insurance Risk and protection leaders are turning unstructured data into action—streamlining underwriting, audits, and claim proccessing\. [Explore insurance](https://www.llamaindex.ai/industry/insurance)  Manufacturing Leading manufacturers are using AI to extract insights from specs, manuals, and inspection reports—faster and more accurately\. [Explore Manufacturing](https://www.llamaindex.ai/industry/manufacturing)  Healthcare From medical records and handwritten doctor notes to insurance claims, healthcare providers are using AI to streamline clinical and administrative workflows\. [Explore Healthcare](https://www.llamaindex.ai/industry/healthcare-pharma)  99\.9% uptime Infrastructure designed for always\-on document processing — stable under real production load\.  Enterprise\-Grade Security Granular access controls, enhanced data encryption, and HIPAA, GDPR, and SOC2 compliant out\-of\-the\-box\.  Dedicated Support & SLAs Dedicated support, fast response times, and SLAs tailored to mission\-critical AI workloads\.  Flexible Deployment Run in our secure cloud or deploy fully in your VPC, ensuring data residence requirements\. Built for teams running production\-grade AI with reliability, security, and control at scale\. - [Book a demo](https://www.llamaindex.ai/contact)  99\.9% uptime Infrastructure designed for always\-on document processing — stable under real production load\.  Enterprise\-Grade Security Granular access controls, enhanced data encryption, and HIPAA, GDPR, and SOC2 compliant out\-of\-the\-box\.  Dedicated Support & SLAs Dedicated support, fast response times, and SLAs tailored to mission\-critical AI workloads\.  Flexible Deployment Run in our secure cloud or deploy fully in your VPC, ensuring data residence requirements\. “LlamaParse simplifies parsing complex documents which is crucial for end\-to\-end AI development\.”  “We benchmarked LlamaParse against everything else we could find\. It had the most reliable output and cleanest formatting—especially for our most difficult content\.”  “LlamaParse stands out as the premier solution for parsing complex documents in enterprise agent pipelines\.”