LlamaParse推出原生电子表格提取功能

We've introduced native, agentic spreadsheet extraction 📊 into LlamaParse. Spreadsheets are a wil...

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: developers.llamaindex.ai/llamaparse/ext… W On the UI, select "agentic plus", and see "spreadsheet options" in the advanced options section. Signup for LlamaParse here! cloud.llamaindex.ai Z LlamaIndex 🦙 @llama_index 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, and you map the right number to the wrong metric or period. That's why we built native spreadsheet extraction into the LlamaParse platform. Instead of flattening your workbook to text, it reads the raw cells directly and maps the data to your schema. Available today in beta on the agentic_plus tier. Give it a spin on your messiest .xlsx, .xls, or .csv files. Docs: developers.llamaindex.ai/llamaparse/ext… 🔗 View Quoted Tweet 💬 4 🔄 0 ❤️ 5 👀 826 📊 4 ⚡