Extract text from PDF

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.

Extract PDF text without uploading it

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.

For a reliable result

  1. Choose the PDF and decide whether scanned-page OCR should run.
  2. Extract text page by page within the displayed mobile-safe limits.
  3. Review reading order, names and numbers, then copy or download the text file.

What changes

The source PDF remains unchanged. The tool creates a plain UTF-8 text file and reports how many pages required OCR.

Check the download

Verify columns, headers, hyphenated words, dates and totals. OCR output can contain substitutions even when the page looks clear.

Know before processing

Text order depends on PDF coordinates and OCR is English-only. Handwriting, complex layouts, vertical writing and damaged scans can produce incomplete output.

Quick answers

Can it extract text from scanned PDFs?
Yes, when local English OCR is enabled. Digital text is read directly first; pages without enough readable text can then be rendered for OCR.
Will columns and tables keep their exact reading order?
Not always. PDFs store positioned fragments rather than guaranteed paragraphs. Compare columns, totals, names and dates with the source before reusing the text.

Recover editable text and check what the extraction missed

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.

Choose the right source of text

Choose an approach for your document
Your situationRecommended 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.

Extract the two-page research notes without OCR

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.

  1. Choose research-notes.pdf from the sample downloads. Clear Use local English OCR on pages with little or no native text.
  2. Select Extract PDF text. Check the result reports 2 pages and 0 OCR pages.
  3. Read the on-page result. Look for Browser privacy and Document checks, plus sentences such as Keep an original copy before changing document metadata or page content.
  4. Select Download text and open the .txt file in a text editor. Compare the body lines from both source pages, or use Copy result to copy the same extracted content.

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.

Check the downloaded result

  • Compare the first and last paragraphs and a section from each page. The reported page count describes the input and does not establish that every page contributed usable text.
  • Check multi-column sections, tables, hyphenated words and repeated headers. The tool combines positioned fragments, joins some broken words and can remove repeated margin lines, so the result is not a verbatim archival transcript.
  • Review names, decimal points, dates and totals character by character when OCR ran. An apparently fluent sentence can still contain a substituted digit or missing word.
  • Download before leaving the page. The on-page text is read-only; make corrections in your chosen editor and keep the source available for comparison.

Troubleshooting

The result is empty or reports no readable text.

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.

Some words inside an image are missing even with OCR enabled.

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.

Columns or table cells appear in the wrong order.

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.

Limits and compatibility

Recognition and extraction coverage
OCR is English-only and limited by the device profile; later scan pages may be skipped. Form values, images and annotations are not a guaranteed complete source of extracted text. The tool does not translate or interpret the document.
Local resources and copies
The document is processed in your browser, with separate file, page and extracted-character limits. Split a very large document into relevant sections if analysis exceeds a limit. Keep the original because the text file cannot reproduce the PDF's complete appearance or structure.

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.

Common questions

Does the text file preserve page breaks and styling?
No. It contains reconstructed text with line and paragraph breaks, rather than a full layout or reliable page-boundary map. Use the source PDF when those details matter.
What if Copy result is blocked?
Select the result and copy it manually, or use Download text. Clipboard permission is separate from the locally generated file.

Continue your document workflow

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