Financial services
Parse 10-Ks, earnings reports, and loan documents at enterprise scale.
LlamaIndex delivers the world’s most accurate agentic OCR and document-specific AI workflows, powering complete enterprise automation
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
Why LlamaParse
Three pillars that turn messy, real-world documents into the high-fidelity data your agents need to act.
01
Not just character recognition. LLM-powered agents reason about layout, tables, figures, and handwriting — across 90+ formats.
02
Define a schema, get validated JSON. No more post-processing scripts or brittle regexes for every new document type.
03
Chain parsing, extraction, and reasoning into durable pipelines. From PDF to production agent in a single API call.
Industries
Parse 10-Ks, earnings reports, and loan documents at enterprise scale.
Extract structured data from clinical notes, lab results, and patient records.
Review contracts, filings, and discovery documents with citation-grade fidelity.
Automate claims intake, policy review, and underwriting from any submission format.
Turn spec sheets, BOMs, and maintenance logs into queryable operational data.
Process invoices, catalogs, and supplier documents across a global vendor network.
Modernize intake for public records, forms, and regulatory filings at agency scale.
Build document-aware agents into the next generation of AI-native products.
Parse 10-Ks, earnings reports, and loan documents at enterprise scale.
Extract structured data from clinical notes, lab results, and patient records.
Review contracts, filings, and discovery documents with citation-grade fidelity.
Automate claims intake, policy review, and underwriting from any submission format.
Turn spec sheets, BOMs, and maintenance logs into queryable operational data.
Process invoices, catalogs, and supplier documents across a global vendor network.
Modernize intake for public records, forms, and regulatory filings at agency scale.
Build document-aware agents into the next generation of AI-native products.
Try the knobs
Flip the switches to see LlamaParse adapt a real Q1 earnings report in real time.
Parsing config
0 of 6 active
Cleaning
Structure
Assets
# Revenue by Segment
## Financial Summary
Acme's cloud segment continues to lead with $6.8B in Q1 revenue, representing 59% of total revenue for the quarter.
## Extracted images
Spatial coordinates
{ x: 42, y: 185, w: 520, h: 24, text: "Revenue by Segment" }See what it handles
Scroll to watch LlamaParse transform tables, charts, handwriting, multi-page documents, and equations into clean structured markdown.
| Region | Q1 2025 | Q2 2025 | YoY | |----------------|---------|---------|------| | North America | $4.2B | $5.1B | +21% | | Europe | $2.8B | $3.4B | +18% | | Asia Pacific | $1.9B | $2.2B | +16% | ### Product breakdown | Segment | Q1 | Q2 | |----------|-------|-------| | Mobility | $3.1B | $3.8B | | Delivery | $2.8B | $3.5B | | Freight | $0.4B | $0.5B |
Nested tables, merged cells, multi-page spans, and irregular headers — every row and column extracted with structure intact.
Bar charts, line graphs, pie charts — parsed into tables and JSON with values, labels, and trends extracted automatically.
Scanned documents, photographed notes, handwritten forms — agentic OCR understands context and intent, not just pixels.
Financial statements, regulatory filings, long data tables that break across pages — merged back together automatically into one clean table.
LaTeX equations, chemical formulas, mathematical notation — extracted with full symbolic fidelity from research papers and technical documents.
How it works
1B+
Documents processed
25M+
package downloads a month
300k+
LlamaParse users
LlamaIndex agents adapt seamlessly to dozens of industry-specific domains and scale effortlessly across hundreds of millions of documents.
Impact
2×
faster purchase decisions with brand assistant answering product queries
10k
daily active users of internal company knowledge base
20%
accuracy boost for customer support agents
90%
developer time saved building investment analysis agents
3×
human productivity with AI agents in customer support
Products
Your
documents.
agents.
way.
From high-accuracy parsing to a fully open agent framework — LlamaIndex gives you fully modular components to build document agents tailored to your data, your workflows, and your infrastructure.



01
LlamaParse
LlamaParse powers enterprise-grade document automation with industry-best parsing, extraction, indexing, and retrieval — optimized for accuracy, configurability, and scalability.
Industry-leading document parsing for 90+ unstructured file types — including support for embedded images, complex layouts, multi-page tables, and even handwritten notes.

02
Workflows
Workflows is an event-driven, async-first workflow engine that orchestrates multi-step AI processes, agents, and document pipelines with precision and control.
Easily chain together multiple steps, loop, and parallel paths.
Async-first workflows that seamlessly integrate with modern Python apps, like FastAPI.
Architecture for workflows you can launch, pause, and resume—statefully and seamlessly.

03
LlamaIndex
LlamaIndex is a developer-first agent framework that rapidly accelerates time-to-production of GenAI applications with trusted low and high-level abstractions. Optimized for agents, RAG, custom workflows, and integrations.
Start building with core components like state, memory, human-in-the-loop review, reflection, and more.
Fully-featured Python and Typescript SDKs that easily embed into your existing tech stack.
Pre-built third party connectors for LLMs, data sources, vector DBs, and more.
Finance
From financial research and due diligence to automated invoice processing, leading banks, hedge funds, and fintechs are transforming workflows with AI.
Explore financeInsurance
Risk and protection leaders are turning unstructured data into action—streamlining underwriting, audits, and claim proccessing.
Explore insuranceManufacturing
Leading manufacturers are using AI to extract insights from specs, manuals, and inspection reports—faster and more accurately.
Explore ManufacturingHealthcare
From medical records and handwritten doctor notes to insurance claims, healthcare providers are using AI to streamline clinical and administrative workflows.
Explore HealthcareWe’ve helped leading AI teams go from prototype to production with real-world results.
Testimonials
As an Applied AI Data Scientist at one of the world's largest Private Equity Funds, I can attest that LlamaIndex's LlamaParse stands out as the premier solution for parsing complex documents in Enterprise RAG pipelines. Its exceptional handling of nested tables, complex spatial layouts, and image extraction is crucial for maintaining data integrity in advanced RAG and agent-based model development.
LlamaIndex’s framework gave us the flexibility we needed to quickly prototype and deploy production-ready RAG applications. The state of the art document parsing capabilities of LlamaParse have been particularly valuable – it handles our complex documents, including tables and hierarchical structures, with remarkable accuracy. The active community support and responsiveness of the LlamaIndex team meant we could quickly troubleshoot and optimize our implementations. What really stands out is how seamlessly we could customize the retrieval pipeline for our specific use cases while maintaining enterprise-grade performance. Salesforce Agentforce team has been leveraging LlamaIndex heavily.
LlamaParse’s ability to efficiently parse and index our complex enterprise data has significantly bolstered RAG performance. Prior to LlamaParse, multiple engineers needed to work on maintenance of data pipelines, but now our engineers can focus on the development and adoption of LLM applications.