Document Parsing and Indexing with LlamaIndex
A financial analyst preparing a due diligence report holds a folder of scanned contracts and earnings decks. LlamaIndex, a Development & Misc tool, parses those contracts and decks into structured tables and text, returning data ready for analysis. LlamaIndex does not verify parsed data automatically for factual accuracy.
- United States 26%
- Germany 6.8%
- India 5.7%
- China 4.3%
- Other 57.3%
What LlamaIndex Does
LlamaIndex is a document parsing and indexing platform that converts complex files into structured, queryable data for financial and compliance teams. It runs agentic OCR (LlamaParse) over PDFs, scanned contracts, spreadsheets, and 130+ file formats, extracting tables, charts, and images into markdown, JSON, or XLSX. LlamaIndex also builds indexes and retrieval pipelines on top of that parsed data, so extracted content can be searched or fed into an LLM workflow rather than left as raw text.
Credits meter usage per action across parsing, extraction, and indexing, so cost scales with document volume rather than a flat seat license.
Main Features
LlamaParse
LlamaParse runs agentic OCR over documents with messy tables, charts, and embedded images across 130+ file formats. It outputs markdown, plain text, per-page JSON, XLSX, or annotated PDFs, and supports layout detection with bounding boxes. LlamaIndex offers three parse tiers (Cost Effective, Agentic, Agentic Plus), so teams can trade accuracy for lower credit cost on simpler pages.
LiteParse
LiteParse is a VLM-free, local parsing mode that runs without a cloud dependency. It handles document extraction on-premises rather than routing files through LlamaIndex’s hosted service, which matters for teams that cannot send documents to a third-party API for compliance or latency reasons.
Explainability
LlamaIndex attaches citations and confidence scores to extracted fields during document processing. Each extracted value can be traced back to its source location in the original file, so a compliance reviewer checking a flagged clause can verify it against the source page instead of trusting the output blindly.
Enterprise Security & Compliance
LlamaIndex’s SaaS platform carries SOC2, HIPAA, and GDPR compliance, with VPC deployment and SSO/MFA available on Enterprise plans. Custom BAAs and hybrid cloud deployment are also available, giving regulated industries a compliance path beyond the base SaaS tier for documents containing protected or sensitive data.
Use Cases
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Financial Due Diligence for Investment Teams
Financial Analysts bring contracts, financial statements, and compliance documents into a deal review. LlamaIndex parses these with LlamaParse and Explainability citations. This accelerates deal timelines and reduces risk through automated, traceable analysis.
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Contract Clause Extraction and Analysis
Research and Compliance Teams extract obligations, risks, and clauses from contracts automatically using LlamaIndex’s structured extraction targets. This enables faster contract review and risk assessment across large agreement sets.
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Automated Audit Documentation
Audit Teams prepare structured diligence documentation automatically with LlamaIndex’s indexing and extraction pipeline. This reduces manual effort and improves accuracy in audit workflows that previously relied on manual document review.
Best For / Not For
LlamaIndex is built for teams that process large volumes of unstructured financial and legal documents on a recurring basis. Financial Analysts use it for due diligence and reporting, Research and Compliance Teams use it for clause extraction and risk summarization, and Audit Teams use it to generate structured audit documentation instead of compiling it by hand. LlamaIndex is not for teams that need a fully open-source, self-hosted parser: LlamaParse itself is a commercial platform gated behind credits, and only the underlying LlamaIndex and Workflows frameworks are released as open source.
Pricing
LlamaIndex’s LlamaParse platform starts at $0/month on the Free plan and runs to $500/month, billed monthly, on the Pro plan, with custom Enterprise pricing above that.
| Plan | Price | Included |
|---|---|---|
| Free | Free | 10K credits, 100 users, basic support |
| Starter | $50 / user/month, billed monthly | 40K credits, pay-as-you-go up to 400K credits, 100 users, basic support |
| Pro | $500 / user/month, billed monthly | 400K credits, bonus 800K credits, pay-as-you-go up to $5,000/mo, 100 users, priority Slack support |
Each plan meters usage by credits rather than a flat fee, so heavy parsing months can push actual spend above the listed base price.
Pricing checked 2026-09-18.
Quick Comparison
Cursor is LlamaIndex’s main alternative for teams building AI-assisted development workflows rather than document pipelines. Cursor focuses on in-editor code generation and refactoring across a full codebase. LlamaIndex instead centers on LlamaParse’s agentic OCR and Explainability citations for document-heavy data. Choose Cursor if the priority is writing and editing application code. Choose LlamaIndex if the priority is parsing and indexing contracts, filings, or reports.
Verdict
LlamaIndex parses 130+ file formats into structured, citation-backed output for Financial Analysts and Audit Teams, starting at 10K free credits per month. It fits teams with recurring document-heavy workflows more than occasional, one-off parsing needs. Enterprise plans add SSO and hybrid deployment for regulated industries.
