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Before → after examples

Six illustrative examples made from fictional documents created for this page — not customer files. All names, companies, figures and contact details are invented. Each “after” table shows the kind of result you can expect, including values flagged for a human check.

1 · Extract

Text, tables and header fields are pulled from native PDFs, scans and photos, with OCR when needed.

2 · Structure

Rows and columns are rebuilt into a clean table, even without borders or across several pages.

3 · Normalize

Dates become YYYY-MM-DD, amounts become real numbers, emails and phone numbers are standardized.

4 · Verify

Totals are checked against their lines, duplicates are removed and a confidence level is set.

5 · Flag

Anything uncertain is flagged for a human check instead of being silently guessed.

6 · Deliver

You receive a file ready to use in Excel or as CSV, ready to sort, filter and import.