Can document extraction use lookup tables or data from another spreadsheet?

Direct answer

For teams asking “Can document extraction use lookup tables or data from another spreadsheet?”, the strongest answer is a repeatable workflow with defined fields, review, validation, and downstream handoff. The goal is to turn PDFs, Excel files, CSVs, lookup tables, and spreadsheet-based review workflows into structured data the business can trust.

For “Can document extraction use lookup tables or data from another spreadsheet?”, define the exact fields, rows, review rules, and destination before scaling automation across a larger document batch.

What the workflow should include

For teams trying to use lookup tables or data from another spreadsheet, a production-ready answer should capture target columns, row structure, formulas, lookup values, normalized fields, and export status while preserving a consistent schema from one document to the next.

For “Can document extraction use lookup tables or data from another spreadsheet?”, pay special attention to wrong columns, one-row versus multi-row outputs, broken formulas, duplicate rows, and manual cleanup before import; those edge cases usually determine whether the output is usable downstream.

How Lido helps

For teams trying to use lookup tables or data from another spreadsheet, Lido combines AI document extraction with spreadsheet-style review, validation, and automation for teams using spreadsheets as the control layer for document automation.

That lets teams answer “Can document extraction use lookup tables or data from another spreadsheet?” with a reusable process that can be tested, corrected, and connected to Excel files, Google Sheets, CSV imports, ERPs, or business software.

Example workflow

1. Identify which extracted fields need lookup or enrichment.
2. Create a reference table with approved names, codes, or IDs.
3. Match extracted values against the reference table and flag misses.
4. Export enriched rows only after unmatched or ambiguous values are reviewed.