Parse transforms messy documents into AI-ready data at scale
Turn even the most complex layouts, tables, charts, handwriting, checkboxes, and images into clean markdown
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1B+
Documents processed
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25M+
package downloads a month
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300k+
LlamaParse users
Why LlamaParse
Best-in-class accuracy with support for 90+ formats
Layout-aware
Understand complex structures like headers, footers, and split sections
Multimodal parsing
Go beyond text to process context from charts, tables, and images
Granular control
Different parsing modes to optimize for the right balance of cost and accuracy
Scalable
Process millions of pages to meet the needs of enterprise-grade workflows
Multilingual support
Out-of-the-box compatibility for over 100+ languages, across continents
Enterprise-ready
Support for local cloud deployment, more users, higher concurrency, and dedicated customer success
Supported formats
Works with any document. Solves for every workflow.
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01
Technical documentation
02
Scientific papers
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Invoices
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Insurance claims
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Healthcare forms
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Multi-page scanned PDFs
Designed for developers. Documented for clarity
Go even further with workflow automation
Read moreTrusted by leading AI builders and enterprise teams
We’ve helped leading teams go from prototype to production with real-world results.
Testimonials
LlamaParse’s support of a wide variety of filetypes and its accuracy of parsing made it the best tool we tested in our evaluations. The LlamaIndex team was very responsive and we were off to the races within a day.
LlamaParse has been a game-changer for us. With its ability to accurately parse millions of pages and extract key data points, our clients can now easily identify valuable public sector opportunities that would have otherwise been buried in documents. It’s a powerful tool that has enabled us to deliver unmatched insights and grow revenue for our clients in the B2G space.
Customers tell us our document parsing is ‘really, really good’—and that’s in large part thanks to LlamaParse.
We benchmarked LlamaParse against everything else we could find. It had the most reliable output and cleanest formatting—especially for our most difficult content.
