Connect Claude to LlamaParse to read, search, and pull structured data from your documents. LlamaParse helps you achieve the Pareto frontier in cost and accuracy, enabling you to read documents at 4x lower token costs and up to 5x higher accuracy.
LlamaParse is especially helpful when dealing with documents that include:
- Complex page layouts with multiple columns or nested sections that need dedicated layout parsing, not just text extraction
- Embedded visuals like charts, images, and tables that require structured visual parsing to extract accurate numbers
- Low-quality scans or handwriting that need specialized document processing beyond what general-purpose models provide
LlamaParse provides multiple SOTA capabilities for document understanding, including the ability to:
- Parse entire documents into structured markdown, JSON, or HTML, ready for downstream agentic reasoning
- Extract defined schemas of information from long documents to pull out only what's relevant
- Index documents and search across them with filesystem-style tools: locate relevant files, grep for pattern matches, read a file in full, or run hybrid retrieval
- Classify documents into known types
- Split document pages into individual pre-defined sections
We also offer LiteParse, our open-source parser, which works well for text-heavy PDFs with straightforward single-column layouts and no tables, charts, or scanned pages to interpret.
Requires a LlamaParse account.
Tools
- addFilesToDirectory
- classifyFile
- createDirectory
- createIndex
- estimateFileComplexity
- extractFile
- findFilesInIndex
- generateExtractionConfig
- getIndexStatus
- getUploadUrl
- getUserProjects
- grepFileFromIndex
- listDirectories
- listDirectory
- listIndexes
- parseFile
- parseWithLiteParse
- readFileFromIndex
- retrieveFromIndex
- splitFile
- syncIndex
- uploadFileByUrl
Only use connectors from developers you trust. Anthropic does not control which tools developers make available and cannot verify that they will work as intended or that they won’t change.