OCR extraction problem
Correct OCR Errors When Converting a Table Image to Excel
Detect character substitutions, missing rows and merged cells after extracting a photographed or scanned table.
Use the matching tool
Image to Excel
What the error actually means
Optical character recognition estimates text from pixels. Low resolution, skew, shadows and grid lines can turn 0 into O, 1 into l, or decimal points into noise. The resulting spreadsheet may be well formed while containing incorrect values.
Likely causes
- The image is blurred or angled.
- Grid lines touch characters.
- The table uses small or decorative text.
- Handwriting or stamps overlap cells.
OCR substitution
Problem
10.50 recognized as IO,5OCorrect pattern
10.50 confirmed against the source imageA safe repair workflow
- 1Use the clearest, straightest image available.
- 2Extract a representative sample.
- 3Validate numeric and identifier columns with rules.
- 4Manually compare flagged cells with the image.
How to verify the result
A file that downloads successfully is not automatically a correct file. Check the result at both the structural and business-data levels:
- Totals reconcile.
- IDs match expected patterns.
- No row or column is missing.
- Low-confidence values are reviewed.
Read the deeper guides
How to Clean CSV Data Without Hiding the Original ProblemsLearn practical techniques to clean messy CSV files. Remove duplicates, fix formatting, and standardize data without Excel crashes or complex scripts.Diagnose a Broken CSV Before You Try to Repair ItA methodical way to identify delimiter, encoding, header, quoting, row-shape, and type problems before a CSV reaches Excel, a CRM, or a database.