Stop wasting hours manually extracting data from PDFs, scans, and complex documents—LlamaParse automatically converts any document into clean, structured data your business can actually use.
LlamaParse is a GenAI-native document parsing platform that reads PDFs, images, tables, charts, and handwritten documents with human-level accuracy. Instead of copying and pasting data by hand or paying someone to do it, you upload your documents and get back perfectly formatted, structured data ready for your accounting software, CRM, or database. It handles messy real-world documents—crumpled invoices, faxes, multi-page contracts, forms with weird layouts—without breaking a sweat.
The tool integrates seamlessly with your existing business tools and workflows. Whether you're processing customer forms, vendor invoices, insurance claims, real estate documents, or loan applications, LlamaParse extracts the information you need in seconds. No more data entry errors, no more lost time hunting for details buried in page 7 of a 12-page contract. You get structured JSON or CSV output that plugs directly into your systems.
Accounting firms and bookkeepers processing invoices and receipts, real estate agents handling contracts and disclosures, insurance agencies managing claims and applications, small law firms reviewing documents, e-commerce businesses handling customer orders and returns, payroll service providers, financial advisors managing client documents, and any small business drowning in manual data entry.
LlamaParse offers a free tier with limited monthly pages, plus pay-as-you-go plans starting around $0.01 per page for standard documents. Volume discounts available for businesses processing thousands of pages monthly.
A small accounting firm processing 500 invoices monthly by hand spends roughly 40 hours on data entry—that's one full-time employee or $2,500/month in labor. LlamaParse cuts that to under 2 hours of setup and review, saving $2,000+ monthly. A real estate office handling 50 contracts per month saves 15-20 hours per agent, reducing errors and speeding closing timelines. Even at modest adoption, most small businesses see ROI within the first month through labor savings, fewer data-entry mistakes, and faster processing times that improve cash flow and client satisfaction.