We've introduced native, agentic spreadsheet extraction 📊 into LlamaParse. Spreadsheets are a wildly different format from PDFs (or any oth…

We've introduced native, agentic spreadsheet extraction 📊 into LlamaParse. Spreadsheets are a wildly different format from PDFs (or any other document format). They can span arbitrarily many rows/columns, lack any guarantees on tabular structure, and can have information linked across multiple sheets. The native ways to deal with spreadsheets is usually through a code interpeter as opposed to OCR. We've introduced a tuned agentic engine (model+harness) that is equipped for large-scale schema guided extraction from spreadsheets. You can extract out dense sheets like balance sheets into clean structured fields. Check out the docs for how to integrate into the API: https://developers.llamaindex.ai/llamaparse/extract/guides/configuring-extract/#spreadsheet-mode On the UI, select "agentic plus", and see "spreadsheet options" in the advanced options section. Signup for LlamaParse here! http://cloud.llamaindex.ai/ Most extraction tools treat spreadsheets like PDFs. They flatten the file into text or markdown, then ask a model to infer the original structure. But spreadsheets depend on structure. Headers, formulas, merged cells, and hidden rows give every value its context. Strip that away,…

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Source: Jerry Liu (X) | 2026-08-27