A scan needs recognition before spreadsheet editing
A scanned table is an image of data. OCR can recognize characters, but recognizing text is not the same as reconstructing a spreadsheet. Column alignment, blank cells, footnotes and multi-line descriptions still need review.
Use OCR PDF to extract text locally in the browser using Tesseract.js.
Review high-risk characters
Check zeros and the letter O, ones and the letter I, decimal points, minus signs and currency symbols. Compare recognized account identifiers with the original because one character can change their meaning. Poor contrast and skewed scans can make these errors more likely.
Rebuild a structured table
Create explicit columns and one record per row. Do not assume that spaces in OCR text indicate a reliable delimiter. Use the CSV editor to review a prepared CSV, edit values and export a clean file. CSV can be imported into Excel, but it is not a multi-sheet workbook.
Validate before use
Compare the record count with the source, recalculate totals and inspect a sample of every page. For important amounts, inspect every row rather than sampling. Keep the scanned PDF alongside the extracted dataset so discrepancies can be traced back to their source.
InstantFileTools does not currently advertise a verified automatic scanned-PDF-to-Excel workflow. The useful workflow here is OCR, structured cleanup and validation, not a one-click accuracy guarantee.