Extracting text from a PDF — either as a plain text file or into an editable document — is one of the more frequently needed PDF operations. The approach that works best depends on whether the PDF has a real text layer or is a scanned image, and what you plan to do with the extracted text.
The Simplest Method: Copy and Paste
For a PDF with selectable text, copying and pasting into a text editor or word processor is often the fastest approach. Open the PDF, press Ctrl+A to select all, Ctrl+C to copy, then Ctrl+V to paste into Notepad, TextEdit, Word, or wherever you need the text. This works well for short documents or when you just need the content quickly without caring about preserving structure.
The limitation: copy-paste doesn't preserve formatting, and for multi-column PDFs or documents with complex layouts, the text often comes out in the wrong order — columns get interleaved, footnotes appear mid-paragraph, headers and footers mix into the body text. For a simple linear document this isn't a problem. For complex layouts it can make the extracted text hard to work with.
Converting to Word for Better Structure
When the text extraction needs to preserve paragraphs, headings, and basic structure — so you can edit the content in a word processor rather than just read it as plain text — converting to Word is a better path than copy-paste. A PDF Converter analyzes the document structure and attempts to reconstruct paragraphs, headings, lists, and tables as proper Word elements rather than just dumping all the text in reading order.
Google Docs does this for free: upload the PDF to Drive, open with Google Docs, and the text appears with its structure reasonably preserved. For more accurate conversion on complex documents, dedicated PDF-to-Word tools handle layout analysis better than Google's built-in importer.
Extracting to Plain Text (.txt)
For data processing, feeding content to other tools, or archiving just the text content without any formatting, a plain .txt extraction is cleaner than a Word conversion. Adobe Acrobat (the paid version) can save a PDF as plain text via File → Export To → Text (Plain). The free Acrobat Reader can't save to text, but you can copy all and paste into Notepad, which is effectively the same result.
For batch extraction or programmatic use, Python with the pdfplumber or PyPDF2 library extracts text from multiple PDFs automatically, which is useful when you need to process many documents. Command-line tools like pdftotext (part of the Poppler utility package, available on Mac via Homebrew and Linux via package managers) do the same thing efficiently without writing any code.
Scanned PDFs: OCR First
For scanned PDFs without a text layer, none of the above methods work — there's no text to extract. The page is stored as an image. OCR must run first to recognize the characters and create a text layer before any extraction is possible. WukongPDF's OCR PDF tool adds the text layer to the PDF; after that, the copy-paste or conversion methods above work normally on the OCR'd version.
Google Drive's Open with Google Docs also runs OCR automatically on scanned PDFs — it's one of the more convenient free options because the OCR and text extraction happen in a single step, producing an editable document directly from the scan. Accuracy depends on scan quality, as always.
What Gets Lost in Text Extraction
Any text extraction discards images, charts, diagrams, and visual formatting. Tables may come through as tab-separated text or may get scrambled depending on the extraction method. Mathematical notation, chemical formulas, and specialized symbols often don't survive extraction correctly — they may be omitted, replaced with placeholder characters, or rendered as garbled sequences. For documents where these elements matter, converting to Word rather than plain text preserves more of the original structure.