LlamaParse

LlamaParse is LlamaIndex’s hosted document-parsing service for developers building RAG systems, document agents, and automation pipelines. It converts complex documents into structured, LLM-ready content, supporting 130+ file formats plus tables, charts, embedded images, multi-page layouts, and handwriting. It is for parsing and downstream extraction, retrieval, classification, and indexing rather than general document editing.

✨ Key Features

• Layout-aware parsing — Process headers, footers, split sections, tables, charts, images, checkboxes, and other layout context.
• Multimodal understanding — Preserve meaning from text, tables, charts, embedded images, and scanned pages.
• Markdown and structured outputs — Return content suitable for LLM prompts and retrieval, including Markdown and structured extraction results.
• Schema-based extraction — Define fields and turn unstructured documents into structured data without training a custom model.
• Document splitting — Segment a source into logical sections using natural-language descriptions.
• Document classification — Categorize documents with natural-language rules and confidence-oriented results.
• Retrieval indexing — Chunk and embed source content so applications can retrieve context for an answer or agent step.
• Parsing modes — Choose tiers that trade off speed, cost, and accuracy: Fast, Cost Effective, Agentic, and Agentic Plus.
• Complex file coverage — Process PDFs, Office documents, images, and other documented formats; verify the current format matrix before deployment.
• Developer integration — Use LlamaIndex workflows and client libraries, or connect the service to an ingestion pipeline.
• Document agents — Pair parsing and extraction with deployable agents for questions, classification, and field extraction.
• Enterprise controls — Enterprise materials describe private VPC deployment, encryption, and SOC 2 Type II, GDPR, and HIPAA support.

💳 Pricing

• Free — $0/month with 10,000 credits per month (about 1,000 pages on the current homepage), agentic OCR, schema extraction, and document-agent building and deployment.
• Starter — $50/month with 40,000 included credits, pay-as-you-go access up to 400,000 credits, up to 100 users, and basic support.
• Pro — $500/month with 400,000 included credits, a limited-time one-time bonus of 800,000 credits shown as $1,000 value for business email domains only (unused bonus credits expire immediately on downgrade), pay-as-you-go up to $5,000/month, up to 100 users, and priority Slack support.
• Enterprise — Custom pricing for enterprise scale, support, security, and deployment requirements.
• Credit usage — Current materials describe Fast at 1 credit/page, Cost Effective at 3, Agentic at 10, and Agentic Plus at 45; actual usage depends on operation and document options.

Public pages may change plan names, credits, formats, and mode labels. Confirm live account pricing, tax, retention, concurrency, and commercial terms before purchase.

⚖️ Alternatives Compared

🎯 Use Cases

• RAG ingestion — Convert complex PDFs and office files into retrievable chunks and context.
• Financial analysis — Extract tables, charts, and fields from filings and reports.
• Scientific papers — Preserve structure for search, citation, or review workflows.
• Invoices and forms — Define a schema for line items, fields, or checkboxes and output records.
• Legal workflows — Split and classify agreements, case files, or document sets before review.
• Healthcare digitization — Process scans while validating privacy, retention, and compliance requirements.
• Technical knowledge bases — Parse manuals so assistants can answer from indexed source context.
• Document-agent prototypes — Build agents that parse, extract, classify, or answer over a collection.
• Enterprise infrastructure — Run scalable processing in a cloud tenant or supported private VPC.

Treat parsed and extracted output as machine-generated data: validate important fields against the source, especially for tables, handwriting, scans, or regulated information.