📄 PDF to Text Converter ☆

Overview

Free PDF to Text is a free online tool that extracts all text content from PDF documents into plain text. It reads every page of your PDF and outputs the text in a clean, readable format, preserving paragraph breaks and basic structure. The tool handles multi-column layouts, tables, headers, footers, and footnotes, extracting text from each element accurately. You can copy the extracted text directly or download it as a .txt file. Text extraction is executed locally, so the document you drop in never leaves your machine. There is no file size limit, no sign-up, and no daily usage cap. It is perfect for extracting text from reports for editing, copying quotes from research papers, converting scanned document text (if the PDF contains selectable text layers), pulling content from ebooks for notes, or converting PDF forms into editable text for data entry. The tool preserves special characters, accented letters, and non-Latin scripts including Arabic, Chinese, and Cyrillic. Use it from any modern browser on desktop or mobile. No platform-specific app needed.

How text extraction works

The extractor reads the PDF content streams and reconstructs the text layer in reading order, joining fragments into paragraphs and preserving line breaks. Because it reads the embedded text objects rather than taking a screenshot, extraction is instant and the output stays selectable and searchable. Scanned pages without a text layer produce little or no output. They need OCR first. Copy the result straight to the clipboard or download it as a .txt file.

How it works and what it supports

Property	PDF to text behavior
Input	PDF 1.0-2.0, single or multi-page
Output	Plain text with paragraph and line structure
Scanned PDFs	No text layer means no output: run OCR first
Scripts	Latin, Arabic, Cyrillic, CJK and other embedded encodings
Export	Copy to clipboard or download .txt
Processing	100% client-side, no upload
Cost	Free, no account, no page limit

Privacy: the document never leaves your device

Reports and papers often contain confidential material, so extraction runs entirely in the browser. No copy of your document is transmitted, stored or logged, and extraction works offline after the first load.

Getting clean text

• Expect layout hints to be lost: columns become linear paragraphs.
• Check hyphenated line breaks after pasting into an editor.
• Tables extract as sequential text, keep the PDF open for reference.
• For scans, use an OCR tool first, then extract.
• Save the .txt as UTF-8 to preserve accents and non-Latin scripts.

Related: browse all PDF tools to convert, split, compress or rotate documents.

Extraction order, columns and encoding

PDF stores text as positioned glyphs, so extraction is a reading-order problem rather than a simple copy. A single-column document usually converts perfectly, but multi-column layouts can interleave lines from different columns because the extractor follows the internal order of text objects rather than the visual one. Most tools offer a layout-aware mode that groups glyphs into lines and columns first, which fixes academic papers and magazines at the cost of speed. Tables are the other structural challenge: without lines to follow, cells may be joined or split incorrectly, and a CSV export often works better than plain text for tabular pages. Typography adds small traps: ligatures such as fi and fl may appear as single characters or be dropped, hyphenated words at line ends may stay split, and curly quotes or special dashes may need normalising before the text is usable in code. Encoding is usually UTF-8, but legacy PDFs can produce wrong accents. Scanned pages have no text layer at all, so the output is empty until the file is passed through OCR, which introduces its own errors on unusual fonts and poor scans. Two practical checks before relying on the result: search for the last sentence of the document to confirm nothing was cut, and look at a page with columns to see whether the lines are interleaved. Everything runs locally in your browser.