PDF to TXT
Extract all text content from PDF documents instantly
100% Private: All processing happens in your browser. Your files never leave your device.
TryDocsy’s PDF to TXT converter extracts selectable text from PDF documents and generates clean, unformatted plain text (.txt) files directly in your web browser. When you need to copy extensive text, parse information for automated scripts, or feed documentation into artificial intelligence pipelines, converting to plain text eliminates stubborn layout artifacts and font formatting.
Unlike cloud converters that upload your files to remote servers, TryDocsy processes everything client-side using WebAssembly and Mozilla’s pdf.js engine. Your confidential financial reports, personal correspondence, and proprietary code remain securely on your computer. You can choose between preserving visual column alignment with monospaced space padding or reflowing wrapped paragraphs into continuous lines.
How it works
1. Choose your PDF document
Under “Drop a PDF here”, select a text-based PDF up to 100 MB. The tool immediately detects the file size, document name, and total page count.
2. Select your layout mode
Under “Text layout”, choose “Keep layout” if you want tables and columns padded with spaces for monospaced viewing, or select “Reflow paragraphs” to merge wrapped lines into continuous sentences.
3. Configure page separators
Toggle the checkbox for “Add --- Page N --- headings”. Keep it enabled to track pagination in long reports, or disable it if you need clean, continuous text for coding or data analysis.
4. Extract, copy, or download
Click “Extract Text”. Once extraction finishes, preview the text in the editor, click “Copy All” to copy it to your clipboard, or click “Download .txt File” to save it.
When you'd use it
Feeding document contents into LLM prompts and AI workflows
Large language models and coding assistants process plain text much faster and more reliably than raw PDF binaries. Extracting clean .txt eliminates binary overhead and formatting noise.
Parsing tabular statements and invoices with shell scripts
Financial analysts and software developers can extract text with “Keep layout” enabled to preserve column spacing, allowing command-line tools like grep, awk, or Python to parse figures.
Reading long articles and manuals in lightweight terminal editors
Engineers working in remote server terminals can convert dense PDF manuals into .txt files to read with terminal pagers like less or text editors like Vim and Nano.
Extracting readable content for accessibility and screen readers
Complex multi-column PDF layouts often confuse accessibility screen readers. Converting to plain text flattens text into natural reading order for assistive speech engines.
Visual coordinate sorting versus raw stream extraction
Many basic text extractors simply read characters in the internal order in which they were written to the PDF content stream. In many documents—especially those generated by desktop publishing software—content stream order jumps erratically between headers, footers, sidebars, and body copy, producing garbled paragraphs.
TryDocsy’s parser reads exact two-dimensional coordinates for each text token. It clusters glyphs into visual lines based on font-relative vertical tolerances, respects hard end-of-line breaks, and properly handles right-to-left text directionality. This ensures that text appears in natural reading sequence from top to bottom and left to right.
Understanding the difference between Keep Layout and Reflow
Selecting “Keep layout” calculates the horizontal position of every word relative to the page margin and inserts corresponding ASCII spaces. This is ideal for invoices, bank statements, pricing sheets, and multi-column tables because the numbers and labels remain aligned under their respective headers when viewed in a monospaced font.
Conversely, “Reflow paragraphs” identifies soft line wraps within paragraphs and stitches the words into single, unbroken lines. This mode is specifically optimized for prose, novels, legal briefs, and essays where you want natural text reflow without artificial line breaks in the middle of sentences.
Scanned document limitations and partial extraction warnings
Because this tool reads the digital text layer created by document software, it cannot read text embedded inside flattened photograph scans. If a file contains no digital text, the extractor alerts you: “No selectable text found — this looks like a scanned PDF. Use the OCR tool first.”
If only specific pages in a mixed document are scanned while others contain selectable text, TryDocsy extracts the valid pages and displays an informational notice informing you which pages could not be extracted. You can then run those specific scanned pages through TryDocsy’s OCR tool.
Frequently asked questions
How does “Keep layout” differ from “Reflow paragraphs”?
“Keep layout” inserts space padding to maintain the visual position of columns and tables, making it perfect for invoices and data sheets. “Reflow paragraphs” joins wrapped lines into single continuous sentences, making it ideal for books and prose.
Can I copy the extracted text without downloading a file?
Yes. Once extraction completes, the full document appears inside an interactive preview textarea. You can click the “Copy All” button to copy the entire extracted text to your clipboard with a single click.
Why does the tool report that no selectable text was found?
This happens when your PDF contains scanned pictures of paper rather than digital fonts. Scanned pages lack a digital text layer. To extract text from scanned PDFs, process your file with TryDocsy’s PDF OCR tool first.
What does the “Add --- Page N --- headings” setting do?
When enabled, the extractor inserts a header before the text of each page (e.g., “--- Page 1 ---”) to help you track document structure. Turning it off outputs clean, continuous text suitable for automated data scripts.
Are right-to-left (RTL) languages like Arabic or Hebrew supported?
Yes. The underlying text extractor inspects the text direction matrix of each font token and correctly sequences right-to-left characters instead of reversing word order.