There are several reasons you might need text out of a PDF: editing the content in a word processor, searching within a large archive, feeding the text into another system, or checking for plagiarism or duplication. The right method depends on the type of PDF and what you need the text for. PDFWhisk's PDF to text tool extracts readable text from standard PDFs locally in your browser, without any upload.
The difference between text PDFs and scanned PDFs
Before trying to extract text, it helps to understand what kind of PDF you have.
A text-based PDF contains the actual text characters embedded in the file, the words are genuinely there as text data that any PDF engine can read. Most PDFs created from Word documents, Google Docs, spreadsheets, or design software are text-based. You can usually tell because clicking on the text in a viewer lets you highlight and select individual words.
A scanned PDF is a photograph of a document. The PDF contains image data, not text. There are no selectable characters, if you click on "text" in a scanned PDF, you are actually clicking on an image. Extracting text from a scanned PDF requires optical character recognition (OCR), which reads the image and tries to identify the letters and words. OCR results vary in accuracy depending on scan quality, font type, and whether there is handwriting involved.
PDFWhisk's PDF to text tool works on text-based PDFs. If your PDF is a scan and the text is not selectable, you will need an OCR tool instead.
How to extract text using PDFWhisk
- Open the tool, go to pdfwhisk.com/pdf-to-text.
- Load your PDF, drag the file onto the page or select it from your device.
- Extract, the tool reads the text layer from the PDF using PDF.js, the same rendering engine used in Firefox and Chrome's built-in PDF viewer.
- Download the text file, you get a plain .txt file containing the text from each page, with pages separated so you can navigate the content.
Copy-paste versus full text extraction
For short documents, copy-pasting from a PDF viewer is often the quickest route. Open the PDF in Chrome, Firefox, or Preview, select the text, and paste it into your word processor. Most text-based PDFs support this natively.
The limitations of copy-paste appear with multi-column layouts, tables, and heavily formatted documents. PDF page layout is defined visually, not logically, text that appears as two columns on screen is often extracted in the wrong reading order when copied. A table pastes as a jumble of text rather than rows and columns. Full extraction tools like PDFWhisk read the entire text layer and assemble it more reliably than click-and-drag selection, though even programmatic extraction can struggle with complex column layouts.
When text extraction produces garbled results
Some PDFs intentionally embed text as glyphs mapped to custom character codes rather than standard Unicode characters. This is sometimes used in design-heavy publications and older PDFs where unusual fonts were embedded. The visual output looks correct, but extracting the text layer produces gibberish or empty output.
If you see this, the options are: try a different extraction tool, use an OCR tool to treat it as an image (since OCR reads the visual output, not the underlying data), or contact the document creator and ask for a version exported with proper Unicode encoding.
Using extracted text in other applications
Plain text extracted from a PDF can be:
- Pasted into Word, Google Docs, or Notion for editing
- Imported into spreadsheet tools if the content was originally tabular
- Fed into Python, R, or other data processing tools for analysis
- Used in a search index to make PDF archives searchable
- Checked against plagiarism detection tools that require raw text input
Bear in mind that formatting, bold text, headers, paragraph spacing, is lost in plain text extraction. If you need to preserve formatting, a PDF to Word conversion tool is a better starting point.
Privacy and confidential documents
Because PDFWhisk's text extraction runs entirely in the browser, your document is never sent to a server. This matters for contracts, financial statements, medical records, or any PDF containing personal or commercially sensitive information. Online OCR and conversion tools that require an upload introduce an unnecessary data risk for this type of content.
Extracting text from a specific page range
If you only need text from certain pages of a long document, it is quicker to extract those pages first. Use PDFWhisk's split tool to separate the pages you need into a new file, then run the text extraction on the smaller document. This also avoids the page-separator clutter in the output that comes with extracting a 200-page document when you only needed pages 10 to 15.