What changes
The source PDF remains unchanged. The tool creates a plain UTF-8 text file and reports how many pages required OCR.
Extract digital PDF text with optional local English OCR for scanned pages. Review and download plain text without uploading the document.
Runs locallyNo uploadYou control saved copies
OCR runs only on pages with fewer than 20 useful native characters. Scanned text blocks on other pages can be missed. Compare the result with the original, including names and numbers.
Digital text is read directly with PDF.js. With OCR enabled, pages with fewer than 20 useful native characters are rendered for local English recognition. Scanned blocks on otherwise text-rich pages can be missed.
The source PDF remains unchanged. The tool creates a plain UTF-8 text file and reports how many pages required OCR.
Verify columns, headers, hyphenated words, dates and totals. OCR output can contain substitutions even when the page looks clear.
Text order depends on PDF coordinates and OCR is English-only. Handwriting, complex layouts, vertical writing and damaged scans can produce incomplete output.
Extract PDF text creates a separate UTF-8 text file while leaving the source PDF unchanged. Use it to recover draft notes, search a document's wording or move readable text into another editor. The result reconstructs lines from positioned PDF text; it does not preserve the PDF's page layout.
Optional English OCR can recognise writing on pages with little or no readable text. It is a fallback for those pages, not an instruction to recognise every picture. A page with enough existing text can contain a scanned table or screenshot whose words are not included in the extraction.
| Your situation | Recommended approach |
|---|---|
| The PDF already contains selectable digital text. | Start with OCR off. Check the output against the source, especially columns, table rows and footnotes; selectable text does not guarantee a correct reading order. |
| Pages are scans or photographs of English writing. | Enable the local English OCR checkbox and review the reported OCR-page count and any skipped-page notice. Recognised names, dates and numbers need proofreading. |
| You need formatting or a searchable copy of the original PDF. | Use PDF to Markdown for a structured draft, or Searchable PDF OCR for a PDF with a text layer. This tool produces plain text and does not add searchability to the original file. |
The research-notes.pdf sample has two pages of digital text under Browser privacy and Document checks. It provides known sentences to compare with the exported text.
Expected result. The sample should produce readable text from both pages, without OCR. Its headings and body sentences should remain in source order, while fonts and physical page layout are absent from the plain-text file.
The PDF may contain page images without a text layer, and OCR may be off or unable to recognise the writing.
Try this: Try local English OCR on a clear scan, or obtain a better digital source. If the writing is not English, use an OCR workflow that supports its language.
OCR runs only when the page has too little useful native text. Existing text elsewhere on the same page can prevent OCR from running on its image areas.
Try this: Render the relevant page to an image and use the image OCR tool when you need those words recognised separately. Compare that result with the page before combining it with the extracted text.
PDF text is stored as positioned fragments. The reconstruction can join neighbouring fragments that belong to different columns or lose the relationship between values and headings.
Try this: Use the source layout to correct the text manually. Keep a page image alongside a table when plain text cannot represent its relationships clearly.
Your files and form values are processed on this device. Downloaded copies remain wherever you save them. See how to check local processing and our privacy policy for site data and optional services.
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