Data Extraction
The automated process of reading structured or semi-structured data from uploaded documents such as bank statements to reduce manual entry.
What is Data Extraction?
Data extraction pulls specific fields from documents automatically. For financial workflows, this often means reading a closing balance from a bank statement PDF or parsing transaction rows from a CSV export.
Extraction accelerates data entry but should always include human confirmation before data affects your financial record. The goal is efficiency, not unsupervised automation.
In deterministic finance, extracted data becomes an input you approve. The system does not infer or predict beyond what the document contains.
Why it matters
Manual data entry is error-prone and time-consuming. Extraction reduces friction for tasks you already do, like verifying monthly bank balances.
The risk is trusting extraction without review. Always confirm extracted values against the source document.
How RunwayCal helps
RunwayCal extracts closing balances from uploaded bank statement PDFs and CSVs. You review and confirm before the balance updates your treasury.
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Extract data, you stay in control
RunwayCal extracts balances from uploads for your review before anything saves to your financial record.
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