Free PDF Readability / OCR Checker

Not every PDF is the same. Some bank statements contain a real text layer you can select and copy, while others are just pictures of pages — scans or phone photos saved as a PDF. This checker tells you which kind you have so you know what to expect before you convert.

What this checker does

It opens the first page of your PDF, looks for an embedded text layer, and counts the characters it finds. From that it returns a simple verdict:

• Text-based — page 1 has a real text layer, so it should convert cleanly.
• Scanned / needs OCR — page 1 has little or no text layer, so the data lives inside an image and has to be recognised first.

It also shows the page count and the page-1 character count behind the verdict.

What it does not do

This tool does not extract, preview, or display any of your transactions. It only reports the character count and the verdict — nothing from your statement is shown on screen. Everything runs in your browser; the file is never uploaded.

Why it matters

Knowing the file type up front saves time. A text-based statement is already machine-readable, so it converts cleanly. A scanned statement needs OCR (optical character recognition) to turn the image into characters first — an extra step that affects how the rows come through.

This is also why two statements from the same bank can behave differently. One downloaded straight from online banking is usually text-based, while a photographed or faxed copy is an image and depends on OCR.

What to do next

Once you know your file type:

• Text-based PDF: run it through the bank statement converter to export the transactions to Excel or CSV.
• Scanned PDF: read bank statement OCR to understand how recognition works and what affects the results.
• Scanned and heading to a spreadsheet: follow how to convert a scanned bank statement to Excel for the full workflow.

Run the check first, confirm what you are working with, then pick the path that matches your file.