PDF to Text Extractor

What does PDF to text extraction do?

PDF to text extraction reads the character data embedded in a PDF file and outputs it as plain, editable text. Most PDFs created from word processors, design tools, or exported from software contain actual text data — individual characters with position coordinates, font information, and size. This tool uses PDF.js to read that data, sorts the characters into reading order by their position on the page, and joins them into lines and paragraphs.

The result is plain text — no formatting, no images, no tables — just the words. This is useful for copying large amounts of text out of a PDF for use in other documents, for feeding content into a translation tool, for analysis or data processing, or simply for reading the text in a more accessible, screenreader-friendly format.

How to extract text from a PDF — step by step

1. Upload your PDF by clicking the drop zone or dragging the file onto the page.
2. Click Extract Text. Each page is processed and its text content is collected in reading order. A progress indicator shows pages being processed.
3. The extracted text appears in an editable text area below. Click anywhere in the box to edit, correct, or add to the text.
4. Live statistics show the word count, character count, and number of pages processed.
5. Use the toolbar to: Copy All (copies to clipboard), Download .txt (saves as plain text), Download .md (saves as Markdown with page headings), or Clear (empties the output).

Common uses for PDF text extraction

• Copying content for editing — Extract the full text of a PDF article or report to paste into a Word document or Google Doc for editing, reformatting, or repurposing.
• Translation — Paste the extracted text directly into DeepL, Google Translate, or a similar service. Translating plain text produces cleaner results than uploading a PDF.
• Data analysis — Extract tables of numbers or lists from a PDF report for analysis in a spreadsheet or code editor.
• Search and indexing — Extract text from a collection of PDF documents to make the content searchable in a database or knowledge base.
• Accessibility — Convert PDF content to plain text for use with screen readers or text-to-speech software that works better with plain text than PDFs.
• Content extraction — Pull quotes, statistics, or references from a long PDF without scrolling through the whole document.

Text-based vs. scanned PDFs — why it matters

A text-based PDF is created when you export a document from Word, generate a PDF from software, or save a web page as PDF. The characters are stored as actual text data inside the file. You can usually tell a text-based PDF by selecting text with your cursor in any PDF viewer — if the text highlights, it is text-based and this tool will extract it.

A scanned PDF is created by photographing or scanning a paper document and saving the resulting images in a PDF container. The pages look like text on screen but are actually pixel images — the characters exist visually but there is no text data for software to read. A tool like this one can only see blank pages when processing a scanned PDF.

To extract text from scanned PDFs you need OCR (Optical Character Recognition) software. Options include Adobe Acrobat Pro (paid), Microsoft OneNote (free, use Insert → Image → OCR), Google Drive (upload the PDF, right-click → Open with Google Docs), and ABBYY FineReader (paid, specialist). All of these analyze the images and attempt to recognize characters — a fundamentally different and more complex process than reading embedded text.

Frequently Asked Questions

Related tools

• PDF to Word — Convert PDF text into a fully formatted, editable Word document instead of plain text.
• Split PDF — Extract specific pages before running text extraction on a large document.
• Compress PDF — Reduce PDF file size before processing or sharing.